McGinnis, Peter Merton Technology in Biomechanics McGinnis, Peter Merton, (2013) "Technology in Biomechanics" from McGinnis, Peter Merton, Biomechanics of sport and exercise pp.383-393, Leeds: Human Kinetics Publishers Ltd. © Staff and students of the University of Roehampton are reminded that copyright subsists in this extract and the work from which it was taken. This Digital Copy has been made under the terms of a CLA licence which allows you to: * access and download a copy; * print out a copy; Please note that this material is for use ONLY by students registered on the course of study as stated in the section below. All other staff and students are only entitled to browse the material and should not download and/or print out a copy. This Digital Copy and any digital or printed copy supplied to or made by you under the terms of this Licence are for use in connection with this Course of Study. 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Licensed for use for the course: "DAN020N242S - Introduction to Dance Science". Digitisation authorised by Susan Scorey ISBN: 0736079661 chapter l6 Technology in Biomechanics objectives When you finish this chapter, you should be able to do the following: • Define quantitative biomechanical analysis • Discuss how measurement • Discuss instrumentation used for measuring • Discuss instrumentation used for measuring kinetic parameters of biomechanical variables may influence the variables themselves kinematic parameters in biomechanics in biomechanics A golfer lines up a chip shot. But the golfer looks different-he's not wearing normal golf attire. Bright dots are attached to the club and various parts of the golfer's body. A small box is strapped onto his back, and cables lead out of this box and into his shoes. More wires attach to devices on his legs. The golfer is standing on some sort of plate. Bright lights illuminate him. He's not hitting the ball on a golf course; he's in a laboratory where a variety of devices are recording his movements, muscle actions, and reaction forces under his feet. What sort of lab is this? What kinds of devices are used to measure the biomechanical variables we have discussed in this book? In the previous three chapters we learned about qualitative biomechanical analyses.This chapter is about the technology used in quantitative biomechanical analyses. Quantitative biomechanical analysis of human movement involves actual measurement of human m vement and the underlying causes of the movement. If human movement or any of its aspect is quantified or measured (de cribed with numbers), the resulting analysis based on these mea urements i a quantitative biomechanical analysis. This chapter presents an overview of the techn logy used to measure the biomechanical features of human movement. Quantitative Biomechanical Analysis Teachers, coache. , and therapists often perform qualitalive biomechanical analyses, but they rarely perform any quantitative biornechanicaJ analyses. When is a quantítalive biomechanicaJ analysis warranted? Insport, quantitative biomechanical analyses are usually done only at the clit or prof ssional level because of the expense and time involved. These analyses may be done throughout an athI te's season or career to monitor changes in technique, to monitor ritical changes in biomechanical parameters r suiting from t.raining improvements, to monitor progress in rehabilitation from injury, to provide data for biom hanical research about the specific sport skill, and s on. Ergonomists and human factors specialists may use quantitative biomechanical analyses of workers to determine the causes of overuse injuries in workplace environments and develop solutions for them. Clinical biomechanists affiliated with hospitals or other medical establishments may conduct quantitative biomechanical analyses of patients to determine effects of various medial interventions on gait, to diagnose musculoskeletal diseases or injuries, to monitor rehabilitation, and so on. Quantitative biomechanical analyses are warranted in all of these cases because changes in the biomechanical variables being measured may be indistinguishable without special instruments. The movements Occur too quickly to be readily perceived by the human eye, or the differences in position and displacement are too subtle to be noticed. In other cases, the biomechanical variable being measured may be too difficult to perceive by anyone other than the athlete (or patient or client). As an observer, how do you detect the magnitude and direction of the ground reaction forces acting on a runner? You can't see the forces-you can see only their effects. We need special instruments for measuring these variables. Measurement Issues Quantitative biomechanical analyses of human movement involve measurements of biomechanical variables. The variables measured may be temporal (timing), kinematic (position, displacement, velocity, acceleration), or kinetic (force, energy, work, power). In any case, Some sort of instrument is used to measure the variable. The instrument itself and the setting that it is used in may affect the performance of the athlete, patient, or client. The process of measuring something influences the parameter being measured. The validity of the measured parameter is thus threatened by the measurement process. Measurement technology that minimizes the measurement effects on the performer is preferred. :) !he process of measuring something Influences the parameter being measured. Technology in Biomechanics 385 Laboratory Data Collection Ideally, the environment in which you measure the performance should be carefully controlled, if possible. Most data for quantitative biomechanical analyses are collected in a biomechanics laboratory, where the environment can be controlled. The drawback is that a biomechanics laboratory is not the setting in which the athlete, patient, or client normally moves or performs. The novelty of the environment may influence the movements being measured. The laboratory should be set up to duplicate as closely as possible the environment in which the movements normally occur. The benefit of data collection in a laboratory is control of the environment. The cameras, lights, temperature, and so forth are always the same. The subject thus performs in the same conditions each time she is evaluated. Much of the instrumentation is permanently set in position so the time to prepare for data collection is minimal. In addition, sensors, markers, or data collection packs can be attached to the performer. :) The benefit of data collection in a laboratory is control of the environment. The drawback is that the environment is not the same as the real-life environment in which the athlete, patient, or client usually moves. A baseball pitch thrown in the lab may be very different from the same type of pitch thrown in a game. The lights and carneras and the technicians watching and measuring the patient's movements may make the patient self-conscious and alter the movement. The attachment of markers, sensors, or cables to the performer will have some effect on the movements being measured. In laboratory data collection, it is very important for the subject to become familiar with the equipment and the laboratory environment before data collection begins. In-the-Field Data Collection An actual athletic competition may be the best environment for measuring the biomechanics of an athlete's performance because it is one in which the athlete normally performs (see figure 16.1). The competition setting, however, may not be the best for the biomechanist. Most biomechanics technology is not very portable. To record ground reaction forces, force plates would have to be mounted in the competition setting. To record muscle activity, electrodes would have to be attached to the Figure 16.1 A biomechanist operates a high-speed motion picture camera to record the strides of 400 m sprinters at the USA Track and Field Championships. Data collection in the field may not have an effect on the performance of the athletes being studied. .... Biomechanics of Sport and Exercise 386 athlete's body and signals from these sent to a receiver for recording. Alternatively, a device for recording the signals could be attached to the athlete. The type of da~a regularly collected in athletic competitions is kinematic data. Technology for measuring kinematic data includes electronic timing devices, video recordings or motion picture mm and their computerized analy is systems, and radar or laser velocity-measuring devices. Most of the e measurement device are relatively noninva ive. The perf l'man e of the athlete is minimally affected by their lise. Th directors of the athletic competitions will be more likely to grant biomechanist permission t use the. e non-invasive types of measurement equipment during competition than the more invasive types f mcasurern nt equipment. Th major drawback of collecting biomechanical data during an athletic cornp tition is lack of control of the environment. The biomechanist has no control over the performer Or the factors influ ncing the performance, and the p sitions of the data collecti n instruments may b restrict d. Th film or video cameras and the radar or laser vel ity-measuring devices all require direct views f the p rformance. Th radar or laser velocity-measuring d vic s r quirc etup along the line of the performer's motion. fficials, spe tutors, ther athlete, and so On muy bl k thes views during p riods of data recording. hanges in lighting may limit th use f film or video cam ras. In lement weather may also limit the use of the equipment (c.g., t o cold, to hOL,t o wet). All of these devi es requir clectri al power. Multiple batteries must b n hand, or an ace ssible power SOurce at the athletic venu mu, t be found. Transporting exp n ive and fragile I troni equipm nt to and from the e mpetilion venue exp s it to risk, of damage r theft. Th preplanning and setup time for data collecti n al an athletic comp titi n is also ext nsive. Additionally, it i difficult to duplicate th li, of the given amera in xactly the same positi ns fI' !TI on e mp titi n to the next. In spite of th s drawbacks, sp rt biomechanists r gularly collect bi m hanic I data at the Olympic ames and world and nati nul champi nships for a variety of sports. Sampling Rafe Most bi mechanical parameters vary with lime, so they must be measured throughout the movement. A computer is usually involved in th data collection to store and process the data. Most biome hanical variables ure analog ignu)s-they vary . ntinllOllsly with time. Before being tored and analyzed by the computer, h wever, the data must be conv rted to digital form. Digital data are numerical (for th omputer, the data ar repre ented in binary form-a. J s and Os), To convert an ana] g signal t digital, the anal g signal is measured al discrete intervals (the signal is sampled), and then the measured value is converted into binary form. How often the signal is sampled is referred to as the sampling rate or sampling frequency. The sampling frequency of an instrument indicates how often the instrument records a measurement. The sampling frequency of some biomechanics instruments, such as a force platform, may be as high as several thousand samples per second, while that of a typical video recording is usually 30 or 60 pictures or samples per second. The sampling rate of most measuring tools in biomechanics can be adjusted to suit the motion being measured. For slow, deliberate movements, sampling rate below 100 samples per second are adequate, but for movements that involve impacts or quickly changing states, much faster sampling rates are required. Tools for Measuring Biomechanical Variables Tools for measuring biomechanical variables vary in sophistication and cost from simple stopwatches to highly sensitive force platforms and multi-camera motion capture systems. Measurement techniques are constantly evol ving as technology improves. The review of measurement tools presented here is only a brief overview of some of the technologies available for measuring biomechanical variables. The tools have been categorized as tools for measuring kinematics and tools for measuring kinetics. Tools for Measuring Kinematics Kinematic variables are based on position and time or the changes in each. Popular tools for measuring kinematic variables in biomechanics include timing systems, velocity-measuring systems (based on radar or laser light), accelerometers, microelectromechanical systems (MEMS) inertial sensors, and optical imaging systems (film cameras, video cameras, and so on). Full-body motion capture (mocap) systems may use one or more of these technologies to record and quantify human motion in two or three dimensions. Timing Devices Time is a fundamental dimension in mechanics, so the measurement of time is important. Watches are the simplest devices for measuring time. If the duration of an event being timed is long enough, a simple stopwatch may be an appropriate timing device. If more accuracy is needed and if the duration of the event being timed is short, then an automatic timing device is more appropriate. Most automatic timing devices use electronic clocks in a computer or other digital device. Electronic or mechanical switches start and stop the clocks. These switches Technology in Biomechanics 387 may be triggered by a variety of means. For instance, pressure-sensitive mats may be used to start or stop the clock as a person steps onto or off the mat. If light is the trigger for the device, it is considered a photogate timer. Photogates may be sensitive to specific wavelengths or to a wide frequency. In any case, if a light source is shining on the sensor and this beam of light is broken by a person or a limb or an implement, the change in intensity oflight on the sensor triggers the clock to start or stop. These automatic timing devices obviously measure time, but they may also be used to measure average speed. If the triggering sensors are positioned a known distance apart, then average velocity can be computed from the distance and time measures. Adding more sensors can provide a more detailed data set for a movement. For example, multiple photogates positioned in an array along a track or runway can provide information about step rate, step length, stance time, flight time, and velocity over a number of steps. Velocity-Measuring Systems Timing systems are the simplest kinematic measuring tools. They are useful for measuring average velocities of humans or objects, but what about instantaneous velocity? The radar gun that troopers use to catch speeders on the highways has been adapted to capture the instantaneous velocities of objects in sport. A radar gun transmits a microwave radio signal at a specific frequency and measures the frequency of the signals that are reflected back to it. A stationary object will reflect the radio signal at the same frequency that was transmitted by the radar gun. If the object is moving, the reflected signal will experience a shift in its frequency-the Doppler effect. The velocity of the object is determined by this frequency shift. Radar guns are limited to measurements of speed (or components of velocity) directly toward or away from the radar gun. They are most widely used to measure the speed of pitched baseballs, but radar guns are also marketed for use in golf, tennis, hockey, soccer, lacrosse, and other sports. Their use in measuring the velocity of an athlete's body is limited unless a radar-reflective marker is worn by the athlete. A laser-based velocity-measuring device is more effective at measuring the speed of athletes, especially runners. It is similar in operation to a radar gun, but it uses a laser and the reflection of the laser light to measure velocity. Unlike radar, whose signal disperses as distance increases, the laser in a laser-based velocity-measuring device is tightly focused. So, if more than one object is moving toward the device, the laser velocity-measuring device can measure the velocity of the specific object of interest whereas a radar gun will receive multiple reflected signals. The laser velocity-measuring device is more accurate for measuring the velocity of a runner. Optical Imaging Systems In a qualitative biomechanical analysis, we discern most of the qualities of a performance using our vision. It seems appropriate that the technology for recording these visual images of performance is the most widely used tool in biomechanics. The most popular optical imaging systems in biomechanics are video cameras. Video cameras provide sequential two-dimensional images of movement at specific time intervals depending on the speed of the camera. In a single recorded image, the position of the body and its parts can be measured relative to each other or to a fixed reference in the field of view. If an object of known dimensions is also recorded in the field of view and in the plane of motion, the position data can be converted to real-life units. In subsequent pictures, the changes in position or displacements can be determined. The time elapsed between the exposure of sequential frames of video can be determined from the frame rate of the camera. For example, the ti me between two adjacent frames of video recorded by a camera operated at 30 frames per second is 1/30 second or 0.033 s. Velocities can thus be determined from the displacement and time measures. Once velocities are computed, accelerations can be determined from the velocity and time measures. One camera may be enough to adequately record twodimensional or planar motion, since the resulting image is also two-dimensional. Three-dimensional coordinate data can be obtained if the motion is recorded by two or more cameras. Specialized software has been developed that computes the three-dimensional coordinates from the two-dimensional data from each camera. How are coordinate data extracted from the images from the cameras? TItis process is called digitizing. This is done manually or automatically, but in either case a computerized system facilitates the digitizing. First, the points of interest on the body or the object being investigated must be identified. If possible, markers are placed on these points on the object or subject before the movement is recorded. In the manual digitizing process, a single frame of the image appears on the computer monitor, and you digitize (store the coordinate data for) each point of interest by positioning a cursor over the projection of a point on the screen. This is done for each point of interest (for a full human body model, this may require more than 20 points) and for each frame offilm or video of the movement. This process is extremely tedious and time-consuming. It is also prone to human error. You manually digitized points when you completed the motion analysis exercises using the MaxTRAQ software in earlier chapters, although in the exercises only one or two points were digitized, and not in every frame. The second method of digitizing is the automatic method. Several methods of automatic digitizing exist. Biomechanics of Sport and Exercise \ 388 Tn on method, highly reflective markers are attached t the object or ubject (athlete, patient, client). These markers define the points of interest. The subject is illuminated so that light is reflected off the markers and int the camera lens. The resulting video image has bright p ts on the subject's image wherever a marker was present (see figureI6.2). Specialized computer oftware identifies these bright spots and their coordinate in every video frame of the movement. In some automatic sy tem .thc data are proces ed in real timey u see the computer model of the movement n the . creen as the mov ment i executed. A more advanced ver. ion of the MaxTRAQ softwar includes automatic digitizing routines that track high-contrast markers in the Ii Id of view. Another automatic digitizing method uses active markers in e nua t to passive reflective markers. Tnthe e . ysterns, the markers ar usually lighl-emitting diodes CL Ds) that light up in a erwin sequence and at a certain fr qu n y. p cializcd cameras dete t their pre. en e, and computer s ftwarc d termines their coordinate location . n drawback of all the optical imaging system is that th y dcp nd on lin of sight Limb. move past each other and hid mark rs fr m cameras. Electromagnetic tracking Figure 16.2 systems overcome this problem by using electromagnetic markers and specialized sensing devices for detecting the locations of the markers. These electromagnetic systems do not suffer from hidden points since body parts that may hide a marker visually do not hide the marker electromagnetically, so the body parts are invisible to the sensing device. Data collection using automatic digitizing systems is primarily limited to laboratory settings. Cameras, which are usually fixed, record movement in only a limited volume or space. Another disadvantage is that the movements of interest must be performed with markers attached to the subject's body. Most optical imaging motion measurement systems are quite expensive. However, several inexpensive (less thao $500) motion analysis programs are available that offer basic tools for analyzing human movement in two dimensions. The MaxTRAQ software that is bundled with this book is an example of this software. You used the MaxTRAQ motion analysis software in earlier chapters in this book to analyze video clips that were provided with the software. This program can also be used to analyze any motion that you record on video if you can load the video onto your computer in .avi format. Reflective markers enable the computer and camera to automatically identify the marker locations. The photo on :he le:t sh.ow~ the markers on the subject under normal lighting conditions; the photo on the right shows the same subject with lighting and camera exposure set to highlight only the markers. Technology in Biomechanics 389 Accelerometers Acceleration measurements can be derived from the data obtained from laser and radar velocity-measuring devices or from data obtained through optical imaging systems. These acceleration measurements may be contaminated with errors, however. The computations involved in deriving velocity from position and time data, and then acceleration from the velocity and time data, lead to error propagation. A little noise (random error) in the position data is amplified in the computation of velocity and is amplified again in the computation of acceleration. The data must be numerically filtered to eliminate this noise. In ~ddition ~o ~his limitation, most velocity-measuring devices are limited to relatively slow sampling rates (the number of velocity measures per second is usually 60 or less). Is there a method of measuring acceleration directly so that these problems are eliminated? An accelerometer is a device for measuring acceleration directly. These devices can be very light and small in size (see figure 16.3). The smallest accelerometers are smaller than the one shown, with dimensions as small as 2 mm x 2 mm x 1 mm. These tiny accelerometers are usually components of microelectromechanical systems (MEMS). Accelerometers attached to the object measure the acceleration of the object at the point of attachment. Accelerometers measure acceleration in a specific direction. A uniaxial or one-dimensional accelerometer measures acceleration in only one direction-along a specific axis of the unit. A triaxial or three-dimensional accelerometer measures three accelerations-along three different axes at right angles to each other. The orientation of the accelerometer determines the direction of the acceleration measured. If the accelerometer is attached to a limb that changes orientations, then the direction of the measured acceleration changes when the limb orientation changes. Accelerometers cannot be attached directly to the rigid framework of the body (bones) but instead must be attached to the skin. Because of these difficulties, accelerometers are usually not used for analyzing general whole-body movements. Accelerometers have relatively high frequency response, so they can sample at high rates. This makes them especially well suited for analyzing impacts. In fact, accelerometers are used in automobiles as sensors to trigger air bag deployment. In biomechanics, accelerometers are used to evaluate the impact-reducing capabilities of sport safety equipment. The performance of bicycle helmets and other protective helmets is evaluated with accelerometers via measurement of the acceleration of a headform within the helmet during an impact test. The cushioning performance of materials used beneath children's playground equipment is evaluated in a similar way. Accelerometers are also well suited for measuring vibrations and their effects on the body. Accelerometers are also the basis for physical activity monitoring devices. A uniaxial accelerometer is the basis for self-contained pocket-sized devices that can be attached to a barbell or to an athlete to measure a variety of mechanical parameters, including the power output of athletes. The technology used in simple pedometers that count steps is a crude uniaxial mechanical accelerometer. More sophisticated pedometers and activity monitors use electronic uniaxial, biaxial, or triaxial accelerometers to quantify the steps or physical activity of the wearer. Inertial Measurement Units Figure 16.3 An accelerometer and an example of its output for a start-stop movement. MEMS inertial sensors or !MUs (inertial measurement units.) us~ a mi~ro-accelerometer and a gyroscope to provide kinematic measurements. These inertial sensor devices are small ~nough to be attached to subjects. They measure changes In position relative to an initial reference or starting position. They don't require a camera or other recording device but do require specialized software for interpretation of their output. Motion analysis systems that use IMUs are expensive relative to a basic two-dimensional video-based motion analysis system, e~en though the !MUs are relatively inexpensive. This difference in cost is shrinking, however, and IMU use in biomechanics is becoming more and more prevalent. Bíomechanics of Sport and Exercise 390 You may actually have a MEMS accelerometer or gyroscope similar to those used in IMUs. MEMS accelrometers and gyroscope are used in numerous personal ele tronic devices-including most smart phone and tablets, laptops, and netbook computers-and video games uch as Nintendo Wii to detect position and changes in po ilion of the device in which they are located. Motion Capture Systems M tion capture (mocap) systems are used to capture in digital form the three-dimensional movements of the whole body. omponents of a typical motion capture system u ually include six or more video cameras, a marker system, and specialized oftware and hardware for reducing and organizing the data to produce the digital rcpresentati n of the m vement. The body i modeled as a system of rigid links connected at the joints. Marker ts nsisting f two or more markers are attached to each b ely s gment to identify the unique location and dentation of each segment in three dimensions. Some systems usc mocap suit with built-in markers or inertial sens rs; other. y terns require the markers to be placed on the ubjecl.l'ypical full-b dy marker sets con ist of more than 50 marker. Re nt advances in image recognition ftwar have led to the d velopment of markerless optical mo ap systems. These systems use advanced image r ognition software to directly locate the anatomical segments and j int centers in the video image. Three-dim nsional m tion capture systems are expensiv .but the e sy t ms may be us d in sport and exerci e. Th y ar' more likely to be u edin clinical gait analysis lab and research settings. The most widespread use of motion capture systems is in the entertainment industry. The Xbox Kin t game system is a crude but very inexp nsive motion apture : ystcm. It uses multiple optical sen' rs t detect, capture, and interpret the movements of a player or play l'S. The players can control the game with their movement and gestures. No external game centroll r is n cd d. More cornpl x and expensive motion capture ysterns are us dt captur the motion of athlete and actors. The captured athl tic rnovem nt f prole sional athletes have be n used to pr vide realistic movement for the animated play l'sin many popular p rt-related video games and apps. The m vcrnents and g stures of actor have been aptured using íhi: techn logy and used to model movem nts of digital character in feature films, television show, and comm rcials, and music vide s since the late 19905. The Na 'vi hara tcrs in the 2009 fi Im Avatar were created using motion capture technology. At the 77th Annual AClId my Awards in 2005, Academy Awards for Technical A hievement went to Julian MOITis, Michael Byrch, Paul Smyth, and Paul Tate for their development of the Vi on motion captur systems; to John O.B. Greaves, Ned Phipps, Ton J. van den Bogert, and William Hays for their development of the Motion Analysis motion capture systems; and to Nels Madsen, Vaughn Cato, Matthew Madden, and Bill Lorton for their development of the Giant Studios motion capture system. The Vicon and Motion Analysis systems were originally developed in the 1980s for use in biomechanical applications. Tools for Measuring Kinetics Kinetic variables are based on force-the cause of change in motion. Popular tools for measuring kinetic variables in biomechanics include force platforms, strain gauges, pressure-sensing devices, and electromyography (EM G). Force Platforms Force platforms are the most popular devices for measuring kinetic variables in biomechanics. Force platforms or force plates measure reaction forces and the point of application and direction of the resultant reaction force. Their measuring surface is rectangular and is typically about the size of a small doormat (about 40 cm by 60 cm). Force platforms are typically used to measure ground reaction forces in gait (see figure 16.4). The forces measured include the normal contact force (the vertical ground reaction force), the friction force in the anterior-posterior direction, and the friction force in the medial-lateral direction. Force platforms are used in clinical gait laboratories to assess the effectiveness of treatments for neuromuscular diseases or to assess the progress of rehabilitation from musculoskeletal.injuries: how the ground reaction forces have changed following treatment, or what changes have occurred during rehabilitation. Examining force platform records is also a way to evaluate the fit and function of prostheses. Force platforms are used in athletics to measure the ground reaction forces exerted by shot-putters and discus ~hrowers during their throws; by long jumpers, triple Jun:per~, and pole-vaulters during their takeoffs; by we~gh~llfters during their lifts; by platform divers during their dives; and so on. The patterns revealed in the forcetime histories give coaches and scientists information about technique differences that may affect performance. Some of the larger athletic shoe manufacturers use force platforms in their biomechanics laboratories. Analysts ~valuate t~e features of various shoe designs and the mate~lals used in these designs by examining the ground reaction forces produced by subjects wearing the shoes. Force Transducers Force transducers are devices for measuring force. The force plates just described rely on multiple force transduc- Technology in Biomechanics 391 on bones and joints and even tendons and ligaments. Strain gauges have been attached to implanted artificial hips to measure the forces at the hip joint in vivo. In animals, force transducers (buckles with strain gauges attached) have been used to measure in vivo tendon forces. Pressure Sensors Figure 16.4 Force platforms are typically used to measure ground reaction forces. These figures show a subject walking over a force platform and the ground reaction forces produced during a walking step. ers within them to determine their output. Another type of force transducer is a strain gauge. Strain gauges measure strain-change in length divided by original length. If a strain gauge is attached to a material with a known shape and elastic modulus, the stress in the material can be computed, and ultimately the external load that caused this stress and strain can be determined. Strain gauges are thus useful for measuring forces. Force transducers have been used in a variety of sports to measure the forces applied to implements or equipment. Strain gauge force transducers have been used to measure forces on the rings and horizontal bar in gymnastics, on the wire in hammer throwing, on the oar in rowing, and on the start handle in the luge. Clinical uses of strain gauges to measure forces have been important in improving the understanding of loads Pressure sensors are usually thin mats with arrays afforce sensors imbedded in them. A force platform measures a resultant reaction force, which is really the resultant of a number of forces acting on the surface in contact with the force platform. Pressure sensors better represent the distributed nature of these forces by quantifying the pressure (force divided by area) exerted on each specified area of the pressure mat. As with force platforms, pressure mats are most widely used in gait analysis. The regions of high pressure beneath a patient's foot may be identified when a patient walks barefoot across a pressure mat. The changes in these pressure patterns following treatment for diseases or surgical intervention and rehabilitation may be monitored. Pressure mats may not measure the pressures exerted on the foot when a patient wears shoes, so insole pressuremeasuring devices have been developed. These devices fit in the shoes between the sole of the foot and the shoe (see figure 16.5). Pressure measurements from the e insole pressure-measuring devices are used by podiatrists and other medical professionals to design more effective orthotics and shoes. In sport, pressure-measuring insoles have been used in skiing to measure the pressures exerted by a skier's foot on the boot during alpine skiing. Another clinical application of pressure-measuring devices is to measure bone-to-bone pressures in joints. Very thin pressure mats (or pressure-sensitive film) have been used to measure the pressure distributions within joints in cadavers. Electromyography Muscle forces produced during movement may be indirectly measured using electromyography (EMG). EMG measures the electrical activity of a contracting muscle via surface electrodes placed on the skin over a superficial muscle or vía indwelling electrodes that are implanted within the muscle. At the very least, EMG data indicate whether a muscle is contracting or not. With skillful processing of the EMG signal, the relative strength of the contraction may be determined. Although there is clearly a relationship between the magnitude of the muscle force and the EMG signal, quantifying this relationship and determining the muscle force from the EMG data are not yet possible. EMG is still a useful tool for clinical and sport applications. Biom chonlcs of Sport and Exercise 392 surgical repairs or prosthetic devices may be evaluated before the intervention. mputer simulation models are usually mathematically based, using equations derived from Newton's laws of motion. Input to the simulation u ually includes inertial properties of the body and its limbs (mass, lengths, moments of inertia), initial condition at the start of the simulation (positions and velocities of the body and limbs), and time histories of the control functions. The control functions may be relative position of the limbs, mu ele forces, resultant joint torques, and so on. The outcome of a simulation is the movement of the body that results from these inputs. Simulations of a variety of sport skills have been developed. The limitation of computer simulation is that each simulation is specific to one individual and one set of input parameters. Results of computer simulations may be applicable only to the person whose parameters were input into the imulation. Despite this limitation, computer simulations are a promising way to investigate "what if" que tians. What if the diver adducted her arm farther? What if the gymnast kept his tuck position a little longer? What if the pole-vaulter u ed a slightly stiffer pole? Summary Figure 16.5 Pressur -measuring insoles are useful tools for me suring pr ssur on th plantar surface of the feet durins 9 it. Computer Simulation and Modeling t Ius 'cl by biomechanjgj, is computer simulati n and mod lin . This is not really a measur ment to I but ruth r an analyi is to I. In sport, computer simulati n muy h li' cl to predi I the utcorne of a rnovern ru based 11 e rtain inputs. In clinical siluations, the effects of A mal KEVTERMS ne lerom anale T t r (p. 89) 86) ignals (p. ucctr myography ( •M ) p, fore platf I'm (p, 390) sampling rat p. 386) strain gouge p. 3 I) I) Comprehensive quantitative biomechanical analyses are usually limited to performances by elite athletes I' to clinical. situations. How and where biomechanical mea uremcnts are taken may affect the parameter being measured. A number of tools are used to measure biomechanical variables. Tools for measuring kinematic variables in biomechanics include timing ysterns, velocity-measuring system , optical imaging system, à ceterometers, and MEMS inertial sensors. Motion captur systems are used for capturing three-dimensional movements of the whole body. Tools for measuring kinetic variables in biomechanics include force platforms, strain gauges, pre sure-sensing devices, and electromyography (EM G). Computer simulation is another useful tool for biomechanical analysis. REVIEW QUESTIONS 1. What are the advantages of collecting biomechanical 2. What are the disadvantages of collecting biomechanical 3. What are the advantages of collecting biomechanical 4. What are the disadvantages data in a laboratory setting? data in a laboratory setting? data in the field? of collecting biomechanical data in the field? 5. What is an analog signal? 6. What is a digital signal? 7. What is a sampling rate? 8. How can information from a video-recorded 9. What does an accelerometer performance be used to compute velocity? measure? 10. What is the difference between a uniaxial and a triaxial accelerometer? 11. What does a force platform measure? 12. How does a strain gauge measure force? 13. Which tools are best suited for measuring the mechanics of impact? 14. What tool is used to measure the electrical activity of muscles? 15. What two inertial measurement devices are part of an !MU? Motion Anal sis Exercises Usin MaxTRAQ If you haven't done so already, review the instructions for downloading and using the educational version of the MaxTRAQ motion analysis software at the beginning of this book, then download and install the software. Once this is done, you are ready to try the following two-dimensional kinematic analysis using MaxTRAQ. 1. Complete a quantitative biomechanical analysis of a planar sport skill or human movement. Before you record the movement, determine what aspects of the movement you want to analyze and what kinematic parameters you want to measure. Use a stationary video camera to record the movement. Make sure that the camera is set up so that its optical axis is perpendicular to the plane of motion and its field of view is large enough to capture the motion, but not so large that measurement accuracy is compromised. Place an object of known length in the plane of motion and use it as your reference length for scaling the video. Video record the skill. Download the video to a computer. If the video is not in .avi format, convertit to .avi format. (You can download free video conversion programs on the Internet.) Once the video clip is converted to .avi format, use MaxTRAQ to measure the kinematic parameters you previously identified. 393
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