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Position-sensing technologies for movement analysis in stroke rehabilitation

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Abstract

Research has focused on improvement of the quality of life of stroke patients. Gait detection, kinematics and kinetics analysis, home-based rehabilitation and telerehabilitation are the areas where there has been increasing research interest. The paper reviews position-sensing technologies and their application for human movement tracking and stroke rehabilitation. The review suggests that it is feasible to build a home-based telerehabilitation system for sensing and tracking the motion of stroke patients.

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References

  • Aminian, K., Robert, P., Buchser, E. E., Rutschmann, B., Hayoz, D., andDepairon, M. (1999): ‘Physical activity monitoring based on accelerometry: validation and comparison with video observation’,Med. Biol. Eng. Comput.,37, pp. 304–308

    Google Scholar 

  • Bachmann, E. R., McGhee, R. B., Yun, X., andZyda, M. J. (2001): ‘Inertial and magenetic posture tracking for inserting humans into networked virtual environments’.Proc. ACM Symposium on Virtual Reality Software & Technology

  • Balogh, I., Orbaek, P., Ohlsson, K., Nordander, C., Unge, J., Winkel, J., andHansson, G. A. (2004): ‘Self-assessed and directly measured occupational physical activities — influence of musculoskeletal complaints, age and gender’,Appl. Ergon.,35, pp. 49–56

    Article  Google Scholar 

  • Barreiro, M. S., Frere, A. F., Theodorio, N. E. M., andAmate, F. C. (2003): ‘Goniometer based to computer’.Proc. 25 th Ann. Int. Conf. IEEE Eng. in Med. Biol. Soc., 17–21 Sept. 2003, Cancun, Mexico, pp. 3290–3293

  • Bassett, D. R.,Ainsworth, B. E., andLeggett, S. R. (1996): ‘Accuracy of five electronic pedometers for measuring distance walked’,Med. Sci. Sports Exerc.,28, pp. 1071–1077

    Google Scholar 

  • Bassett, D. R., Cureton, A. L., andAinsworth, B. E. (2000): ‘Measurement of daily walking distance-questionnaire versus pedometer’,Med. Sci. Sports Exerc.,32, pp. 1018–1023

    Google Scholar 

  • Blomqvist, L., Stark, B., Engler, N., andMalm, M. (2004): ‘Evaluation of arm and shoulder mobility and strength after modified radical mastectomy and radiotherapy’,Acta Oncol.,43, pp. 280–283

    Google Scholar 

  • Bouten, C. V. C., Koekkoek, K. T. M., Verduim, M., Kodde, R., andJanssen, J. D. (1997): ‘A triaxial accelerometer and portable processing unit for the assessment daily physical activity’,IEEE Trans. Biomed. Eng.,44, pp. 136–147

    Article  Google Scholar 

  • Bussmann, H. B. J., Reuvekamp, P. J., andVeltink, P. H. (1998): ‘Validity and reliability of measurements obtained with an “activity monitor” in people with an without a transtibial amputation’,Phys. Therapy,78, pp. 989–998

    Google Scholar 

  • Campbell, K. L., Crocker, P. R., andMcKenie, D.C. (2002): ‘Field evaluation of energy expenditure in women using tritrac accelerometer’,Med. Sci. Sports Exerc.,34, pp. 1667–1674

    Google Scholar 

  • Clark, P. G., Dawson, S. J., Sheideman-Miller, C., andPost, M. L. (2002): ‘Telerehab: Stroke teletherapy and management using two-way interactive video’,Neurol. Rep.,26, pp. 86–92

    Google Scholar 

  • Croteau, K. A. (2004): ‘A preliminary study on the impact of a pedometer-based intervention on daily steps’,Am. J. Health Prom.,18, pp. 217–220

    Google Scholar 

  • Crouter, S. E., Schneider, P. L., Karabulut, M., andBassett, D. R. (2003): ‘Validity of 10 electronic pedometers for measuring steps, distance, and engergy cost’,Med. Sci. Sports Exerc.,35, pp. 1455–1460

    Article  Google Scholar 

  • Cyarto, E. V., Myers, A. M., andTudor-Locke, C. (2004): ‘Pedometer accuracy in nursing home and community-dwelling older adults’,Med. Sci. Sports Exerc.,36, pp. 205–209

    Article  Google Scholar 

  • Fahrenberg, J., Foerster, F., Smeja, M., andMuller, W. (1997): ‘Assessment of posture and motion by multichannel piezoresistive accelerometer recordings’,Psychophysiology,34, pp. 607–612

    Google Scholar 

  • Foerster, F., Smeja, M., andFahrenberg, J. (1999): ‘Detection of posture and motion by accelerometry: a validation study in ambulatory monitoring’,Comput. Human Behav.,15, pp. 571–583

    Google Scholar 

  • Freedson, P. S., andMiller, K. (2000): ‘Objective monitoring of phsical activity using motion sensors and heart rate’,Res. Q. Exerc. Sport,71, pp. S21–29

    Google Scholar 

  • GLink:http://www.microstrain.com/

  • Goodwin, N., andSunderland, A. (2003): ‘Intensive, time-series measurement of upper limb recovery in the subacute phase following stroke’,Clin. Rehab.,17, pp. 69–82

    Article  Google Scholar 

  • Groves, D. (1988): ‘Beyond the pedometer — new tools for —monitoring activity’,Phys. Sports Med.,16, pp. 160–164

    Google Scholar 

  • Hansson, G. A., Balogh, I., Ohlsson, K., andSkerfving, S. (1996): ‘Goniometer measurement and computer analysis of wrist angles and movements applied to occupational repetitive work’,J. Electromyogr. Kinesiol.,6, pp. 23–35

    Article  Google Scholar 

  • Hansson, G. A., Balogh, I., Ohlsson, K., andSkerfving, S. (2004): ‘Measurements of wrist and forearm positions and movements: effect of, and compensation for, goniometer crosstalk’,J. Electromyogr. Kinesiol.,14, 355–367

    Article  Google Scholar 

  • Haynes, M. J., andEdmondston, S. (2002): ‘Accuracy and reliability of a new, protractor-based neck goniometer’,J. Manip. Physiol. Therap.,25, pp. 579–586

    Google Scholar 

  • HealthyPeople (2001):http://www.healthypeople.gov/document/ html/volumel/06disability.htm

  • Hoodless, D. J., Stainer, K., Savic, N., Batin, P., Hawkins, M., andCowley, A. J. (1994): ‘Reduced customary activity in chronic heart-failure — assessment with a new shoe-mounted pedometer’,Int. J. Cardiol.,43, pp. 39–42

    Article  Google Scholar 

  • Johnson, P. W., Jonsson, P., andHagberg, M. (2002): ‘Comparison of measurement accuracy between two wrist goniometer systems during pronation and supination’,J. Electromyogr. Kinesiol.,12, pp. 413–420

    Article  Google Scholar 

  • Jonsson, P., andJohnson, P. W. (2001): ‘Comparison of measurement accuracy between two types of wrist goniometer systems’,Appl. Ergonom.,32, pp. 599–607

    Google Scholar 

  • Kalawsky, R. S. (1993): ‘The science of virtual reality and virtual environments’, (Addison-Wesley Wokingham, England, 1993)

    Google Scholar 

  • Kamen, G., Pattern, C., Du, C. D., andSison, S. (1998): ‘An accelerometry-based system for the assessment of balance and postural sway’,Gerontology,44, pp. 40–45

    Article  Google Scholar 

  • Kemp, B., Janssen, A. J. M. W., andvan der Kamp, B. (1998): ‘Body position can be monitored in 3d using miniature accelerometers and earth-magnetic field sensors’,Electro-encephalogr. Clin. Neuro-physiol./Electromyogr. Motor Control,109, pp. 484–488

    Google Scholar 

  • Kilanowski, C. K., Consalvi, A. R., andEpstein, L. H. (1999): ‘Validation of an electronic pedometer for measurement of physical activity in children’,Ped. Exer. Sci.,11, pp. 63–68

    Google Scholar 

  • Kochersberger, C. E., McConnel, E., Kuchibatla, M. N., andPieoer, C. (1996): ‘The reliability, validity, and stability of a measure of physical activity in the elderly’,Arch. Phys. Med. Rehabil.,77, pp. 793–795

    Article  Google Scholar 

  • Kuiken, T. A., Amir, H., andScheidt, R. A. (2004): ‘Computerized biofeedback knee goniometer: acceptance and effect on exercise behavior in post-total knee arthroplasty rehabilitation’,Arch. Phys. Med. Rehab.,85, pp. 1026–1030

    Google Scholar 

  • Le Masurier, G. C., andTudor-Locke, C. (2003): ‘Comparison of pedometer and accelerometer accuracy under controlled conditions’,Med. Sci. Sports Exerc.,35, pp. 867–871

    Google Scholar 

  • Leeders, N. Y., Sherman, W. M., Nagaraja, H. N., andKien, C. L. (2001): ‘Evaluation of methods to assess physical activity in free-living conditions’,Med. Sci. Sports Exerc.,33, pp. 1233–1240

    Google Scholar 

  • Ltters, J.,et al. (1998): ‘Design, fabrication and characterization of a highly symmetrical capacitive triaxial accelerometer’,Sensors Actuators A: Phys.,66, pp. 205–212

    Google Scholar 

  • Luinge, H. J. (2002): ‘Inertial sensing of human movement’, PhD thesis, University of Twente

  • Lum, P., Reinkensmeyer, D., Mahoney, R., Rymer, W. Z., andBurgar, C. (2002): ‘Robotic devices for movement therapy after stroke: current status and challenges to clinical acceptance’,Top Stroke Rehabil,8, pp. 40–53

    Google Scholar 

  • Mathie, M. J., Coster, A. C., Lovell, N. H., andCeller, B. G. (2003): ‘Detection of daily physical activities using a triaxial accelerometer’,Med. Biol. Eng. Comput.,41, pp. 296–301

    Google Scholar 

  • Mathie, M. J., Coster, A. C., Lovell, N. H., andCeller, B. G. (2004a): ‘Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement’,Physiol. Meas.,25, pp. R1-R20

    Article  Google Scholar 

  • Mathie, M. J., Celler, B. G., Lovell, N. H., andCoster, A. C. (2004b): ‘Classification of basic daily movements using a triaxial accelerometer’,Med. Biol. Eng. Comput.,42, pp. 679–687

    Article  Google Scholar 

  • Mathie, M. J., Coster, A. C., Lovell, N. H., Celler, B. G., Lord, S. R., andTiedemann, A. (2004a): ‘A pilot study of long-term monitoring of human movements in the home using accelerometry’,J. Telemed. Telecare,10, pp. 144–51

    Article  Google Scholar 

  • McGorry, R. W., Chang, C., andDempsey, P. (2004): ‘A technique for estimation of wrist angular displacement in radial/ulnar deviation and flexion/ extension’,Int. J. Indust. Ergonom. 34, pp. 21–29

    Google Scholar 

  • MEDICATE:http://www.medicate online.org/

  • Melanson, E. L., Knoll, J. R., Melanie, L. B.,et al. (2004): ‘Commercially available pedometers: considerations for accurate step counting’,Prevent. Med.,39, pp. 361–368

    Article  Google Scholar 

  • Merryn, J. M., Coster, A. C. F., Lovell, N. H., andCeller, B. G. (2004): ‘Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement’,Physiol. Meas.,25, pp. R1-R20

    Google Scholar 

  • Miltner, H. R. W., Bauder, H. et al. (1999): ‘Effects of constraint-induced movement therapy on patients with chronic motor deficits after stroke’,Stroke,30, pp. 586–592

    Google Scholar 

  • Moe-Nilssen, R. (1998): ‘A new method for evaluating motor control in gait under reallife environmental conditions part 1: The instrument’,Clin. Biomech.,13, pp. 320–327

    Google Scholar 

  • MT9:http://www.xsens.com/

  • Mulder, A. G. E. (1994): ‘Human movement tracking technology’.Technical Report 94-1, Simon Fraser University

  • Ohtaki, Y., Sagawa, K., andInooka, H. (2001): ‘A method for gait analysis in a daily living environment by body-mounted instruments’,JSME Int. J. C., Mech. Syst. Mach. Elem. Manuf.,44, pp. 1125–1132

    Google Scholar 

  • Rawes, M. L., Richardson, J. B., andDias, J. J. (1996): ‘A new technique for the assesof wrist movement using biaxial fleaxible electrogoniometer’,J. Hand Surg.,21, pp. 600–603

    Google Scholar 

  • Reinkensmeyer, D., Lum, P., and Winters, J. (2004): ‘Emerging technologies for improving access to movement therapy following neurologic injury’.http://www.eng.uci.edu/dreinken/publications/ djr%20resna%20chapter.pdf

  • Rossini, P. M., Calautti, C., Pauri, F., andBaron, J. C. (2003): ‘Post-stroke plastic reorganisation in the adult brain’,Lancet Neurol.,2, pp. 493–502

    Google Scholar 

  • Sagawa, K., Inooka, H., andSatoh, Y. (2000): ‘Non-restricted measurement of walking distance’,Proc. IEEE Int. Conf. On Systems, Man, and Cybernetics, 8–11 Oct. 20003, Nashville, TN, USA, pp. 1847–1852

    Google Scholar 

  • Schneider, P. L., Crouter, S. E., andBassett, D. R. (2004): ‘Pedometer measures of free-living physical activity: Comparison of 13 models’,Med. Sci. Sports Exerc.,36, pp. 331–335

    Article  Google Scholar 

  • Sellers, W. I., Varley, J., andWaters, S. (1998): ‘Remote locomotor monitoring using accelerometers: a pilot study’,Folia Primatologia,69, pp. 82–85

    Google Scholar 

  • Sequeira, M. M., Rickenbach, M., Wietlisbach, V., Tullen, B., andSchutzm, Y. (1995): ‘Physical-activity assessment using a pedometer and its comparison with a questionnaire in a large population survey’,Am. J. Epidem.,142, pp. 989–999

    Google Scholar 

  • Shepherd, E. F., Toloza, E., McClung, C. D., andSchmalzried, T. P. (1999): ‘Step activity monitor: Increased accuracy in quantifying ambulatory activity’,J. Orthop. Res.,17, pp. 703–708

    Article  Google Scholar 

  • Shiratsu, A., andCoury, H. J. C. G. (2003): ‘Reliability and accuracy of different sensors of a flexible electrogoniometer’,Clin. Biomech.,18, pp. 682–684

    Article  Google Scholar 

  • Skelly, M. M., andChizeck, H. J. (2001): ‘Real-time gait event detection for paraplegic fes walking’,IEEE Trans. Neural Syst. Rehabil. Eng.,9, pp. 59–68

    Article  Google Scholar 

  • SMART:http://hsc.shu.ac.uk/smart/?page=about

  • Sderkvist, J. (1994): ‘Micromachined gyroscopes’,Sensors Actuators,43, pp. 65–71

    Google Scholar 

  • Sprigle, S., Flinn, M., Wootten, M., andMcCorry, S. (2003): ‘Development and testing of a pelvic goniometer designed to measure pelvic tilt and hip flexion’,Clin. Biomech.,18, pp. 462–465

    Article  Google Scholar 

  • Steele, B. G., Belza, B., Cain, K., Warms, C., Coppersmith, J., andHoward, J. (2003): ‘Bodies in motion: Monitoring daily activity and exercise with motion sensors in people with chronic pulmonary disease’,J. Rehab. Res. Devel.,40, pp. 45–58

    Google Scholar 

  • Stroke:http://www.stroke.org.uk/noticeboard/obesity.htm

  • Talbot, L. A., Gaines, J. M., Huynh, T. N., andMetter, E. J. (2003): ‘A home-based pedometer-driven walking program to increase physical activity in older adults with osteoarthritis of the knee: A preliminary study’,J. Am. Geri. Soc.,51, pp. 387–392

    Google Scholar 

  • Taloy, P., Burridge, J.,et al. (1999): ‘Clinical audit of 5 years provision of the odstock dropped foot stimulator’,Artif. Organs. 23, pp. 440–442

    Google Scholar 

  • Tao, Y., andHu, H. (2003): ‘Building a visual tracking system for home-based rehabilitation’.Proc. 9th Chinese Automation and Computing Society Conf., UK

  • Tudor-Locke, C., Ainsworth, B. E., Thompson, R. W., andMatthews, C. E. (2002): ‘Comparison of pedometer and accelerometer measures of free-living physical activity’,Med. Sci. Sports Exerc.,34, pp. 2045–2051

    Article  Google Scholar 

  • Tung, S. (2004): ‘Position paper: An overview of mems inertial sensors’,http://www.easasuedu/nsf2000/Table_of_Contents/STpdf

  • Turner, J. W. (2001): ‘Telepsychiatry as a case study of presence: Do you know what you are missing?’,J. Comput. Mediat. Commun. 6, (4)

  • Uiterwaal, M., Glerum, E. B. C., Busser, H. J., andVan Lummel, R. C. (1998): ‘Ambulatory monitoring of physical activity in working situations, a validation study’,J. Med. Eng. Technol. 22, pp. 168–172

    Google Scholar 

  • Veltink, P. H., Bussmann, H. B. J., de Vries, W., Martens, W. L. J., andVan Lummel, R. C. (1996): ‘Detection of static and dynamic activities using uniaxial accelerometers’,IEEE Trans. Rehabil. Eng.,4, pp. 375–385

    Google Scholar 

  • Walker, M. (2002): ‘Stroke rehabilitation’,Br. J. Cardiol.,9, pp. 23–30

    Google Scholar 

  • Walling, A. D. (2004): ‘Home-based rehabilitation improves function after stroke’,Am. Acad. Family Phys.,70

  • Welk, G. J., Differding, J. A., Thompson, R. W., Blair, S. N., Dziura, J., andHart, P. (2000): ‘The utility of the digi-walker step counter to assess daily physical activity patterns’,Med. Sci. Sports Exerc.,32S, pp. S481–488

    Google Scholar 

  • Williamson, R., andAndrews, B. J. (2000): ‘Gait event detection for fes using accelerometers and supervised maching learning’,IEEE Trans. Rehabil. Eng.,8, pp. 312–319

    Article  Google Scholar 

  • Winter, D. A. (1990): ‘Biomechanics and motor control of human movement, 2 edn’, (Wiley, New York, 1990)

    Google Scholar 

  • Yazdi, N., Ayazi, F., andNaja, K. (1998): ‘Micromachined inertial sensors (invited paper)’,Proc. IEEE,86, pp. 1640–1659

    Article  Google Scholar 

  • Zhou, H., andHu, H. (2004): ‘A survey — human movement tracking and a research proposal’.Smart Equal Project Report

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  1. School of Computing & Mathematics, University of Ulster, Newtownabbey, Northern Ireland

    H. Zheng & N. D. Black

  2. Clinical Measurement, Royal National Hospital for Rheumatic Diseases, Upper Borough Walls, Bath, UK

    N. D. Harris

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Zheng, H., Black, N.D. & Harris, N.D. Position-sensing technologies for movement analysis in stroke rehabilitation. Med. Biol. Eng. Comput. 43, 413–420 (2005). https://doi.org/10.1007/BF02344720

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