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Volumn 2005, Issue , 2005, Pages 518-522

Artificial neural network models in the diagnosis of balance impairments

Author keywords

Ageing; Artificial neural networks; Balance impairment; Gait patterns; MFC

Indexed keywords

AGING OF MATERIALS; ALGORITHMS; BACKPROPAGATION; ERROR CORRECTION; GAIT ANALYSIS; HEALTH CARE; MATHEMATICAL MODELS; PATHOLOGY;

EID: 33750171616     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISIP.2005.1529509     Document Type: Conference Paper
Times cited : (10)

References (13)
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  • 2
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  • 3
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    • Time-domain analysis of foot-ground reaction forces in negotiating obstacles
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    • Begg, R.K.1    Sparrow, W.A.2    Lythgo, N.D.3
  • 7
    • 0027607306 scopus 로고
    • Assessment of gait pattern using neural networks
    • Holzreiter SH, Kohle ME, Assessment of gait pattern using neural networks. J Biomech 1993;26:645-51.
    • (1993) J Biomech , vol.26 , pp. 645-651
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  • 9
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    • A comparison of algorithms for detection of spikes in the electroencephalogram
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  • 10
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    • A neural network representation of electromyography and joint dynamics in human gait
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    • Sepulveda, F.1    Wells, D.2    Vaughan, C.L.3
  • 11
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    • Characterising intra- and inter-limb gait stability using minimum foot clearance M
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    • Taylor S. Characterising Intra- and Inter-limb Gait Stability using Minimum Foot Clearance M. Appl Sci, Victoria University, Melbourne, 2003.
    • (2003) Appl Sci
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  • 13
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    • Potential of the back propagation neural networks in the assessment of gait patterns in ankle arthrodesis
    • Wu WL, Su FC, Chou CK. Potential of the Back Propagation Neural Networks in the Assessment of Gait Patterns in Ankle Arthrodesis. Clin Biomech 2000; 15:143-5.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.