Real-time gait cycle parameter recognition using a wearable accelerometry system

Sensors

Volumn 11, Issue 8, 2011, Pages 7314-7326

  Yang, Che Chang ^a   Hsu, Yeh Liang ^a   Shih, Kao Shang ^b   Lu, Jun Ming ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b SHIN KONG WU HO SU MEMORIAL HOSPITAL   (Taiwan)

Author keywords

Accelerometer; Accelerometry; Gait; Mobility; Parkinson's disease

Indexed keywords

ACCELERATION; ADULT; AGED; AMBULATORY MONITORING; ARTICLE; EQUIPMENT DESIGN; FEMALE; GAIT; HUMAN; MALE; METHODOLOGY; MOTION; MOVEMENT (PHYSIOLOGY); PARKINSON DISEASE; PATHOPHYSIOLOGY; STATISTICAL MODEL; TELEMEDICINE; WALKING;

ACCELERATION; ADULT; AGED; EQUIPMENT DESIGN; FEMALE; GAIT; HUMANS; MALE; MODELS, STATISTICAL; MONITORING, AMBULATORY; MOTION; MOVEMENT; PARKINSON DISEASE; TELEMEDICINE; WALKING;

EID: 80052160077     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s110807314     Document Type: Article

References (24)

1. Lowry K.A., Smiley-Oyen A.L., Carrel, A.J.; Kerr, J.P. Walking stability using harmonic ration in Parkinson's disease. Mov. Disord. 2009, 24, 261-267.
2. Hausdorff J.M. Gait dynamics, fractals and falls: Finding meaning in the stride-to-stride fluctuations of human walking. Hum. Mov. Sci. 2007, 26, 555-589.
3. Hausdorff J.M. Gait dynamics in Parkinson's disease: Common and distinct behavior among stride length, gait variability, and fractal-like scaling. Chaos 2009, 19, 026113-1-026113-14.
4. Plotnik M. Hausdorff J.M. The role of gait rhythmicity and bilateral coordination of stepping in the pathophysiology of freezing of gait in Parkinson's disease. Mov. Disord. 2008, 23, S444-S450.
5. Roiz R.M., Cacho E.W.A., Pazinatto M.M., Reis J.G., Cliquet A., Jr. Barasnevivius-Quagliato E.M.A. Gait analysis comparing Parkinson's disease with healthy elderly subjects. Arq Neuropsiquiatr 2010, 68, 81-86.
6. Menz H.B., Latt M.D., Tiedemann A., Kwan M.M.S., Lord S.R. Reliability of the GAITRite walkway system for the quantification of temporal-spatial parameters of gait in young and older people. Gait Posture 2004, 20, 20-25.
7. Hausdorff J.M., Ladin Z.,Wei J.Y. Footswitch system for measurement of the temporal parameters of gait. J. Biomech. 1994. 3, 347-351.
8. Femery V., Moretto P., Renaut H., Thévenon A., Lensel G. Measurement of plantar pressure distribution in hemiplegic children: Changes to adaptive gait patterns in accordance with deficiency. Clin. Biomech. 2004, 17, 406-413.
9. Mathie M., Coster A.C.F., Lovell N.H., Celler B.G. Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol. Meas. 2004, 25, R1-R20.
10. Yang C.C., Hsu Y.L. A review of accelerometry-based wearable motion detector for physical activity monitoring. Sensors 2010, 10, 7772-7788.
11. Liu, T., Inoue, Y., Shibata K. Development of a wearable sensor system for quantitative gait analysis. Measurement 2009, 42, 978-988.
12. Schepers H.M, Asseldonk van E.H.F., Baten C.T.M. Veltink P.H. Ambulatory estimation of foot placement during walking using inertial sensors. J. Biomech. 2010, 43, 3138-3143.
13. Moore S.T., MAcDougll H.G., Ondo W.G. Ambulatory monitoring of freezing of gait in Parkinson's disease. J. Neurosci. Meth. 2008, 167, 340-348.
14. Jovanov E., Wang E., Verhagen L., Fredrickson M., Fratangelo R. Defog-A Real Time System for Detection and Unfreezeing of Gait of Parkinson's Patients. In Proceedings of the 31st Annual International IEEE EMBS Conference, Minneapolis, MN, USA, 2-6 September 2009.
15. Podsiadlo D., Richardson S. The timed "Up & Go": A test of basic functional mobility for frail elderly persons. J. Am. Geriatr. Soc. 1991, 39, 142-148.
16. Moe-Nilssen R., Helbostad J.L. Estimation of gait cycle characteristics by trunk accelerometry. J. Biomech. 2004, 37, 121-126.
17. Yang M., Cheng H., Wang H., McLean S., Hall J., Harris N. Assessing Accelerometer Based Gait Features to Support Gait Analysis for People with Complex Regional Pain Syndrome. In Proceedings of PETRA'10: the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, Samos, Greece, 23-25 June 2010.
18. Keenan D.B., Wilhelm F.H. Classification of locomotor activity by acceleration measurement: Validation in Parkinson disease. Biomed. Sci. Instrum. 2005, 41, 329-334.
19. Hirasaki E., Moore S.T., Raphan T., Cohen B. Effects of walking velocity on vertical head and body movements during locomotion. Exp. Brain Res. 1999, 127, 117-130.
20. Wang N., Redmond S.J., Ambikairajah E., Celler B.G., Lovell N.H. Can triaxial accelerometry accurately recognize inclined walking terrains? IEEE Trans. Biomed. Eng. 2010, 57, 2506-2516.
21. Karantonis D.M., Narayanan M.R., Lovell N.H., Celler B.G. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Trans. Inf. Technol. Biomed. 2006, 10, 156-167.
22. Yang C.C., Hsu Y.L. Development of a wearable motion detector for telemonitoring and real-time identification of physical activity. Telemed. J. E Health 2009, 15, 62-72.
23. Zijlstra W., Hof A.L. Assessment of spatio-temporal gait parameters from trunk accelerations during human walking. Gait Posture 2003, 18, 1-10.
24. Tura A., Raggi M., Rocchi L., Cutti A., Chiari, L. Gait symmetry and regularity in transfemoral amputees assessed by trunk accelerations. J. Neuroeng. Rehabil. 2010, 10, 1-10.