An HMM-based gait comparison: Using Alzheimer's disease patients as examples

Wei Hsin Wang, Hao Li Wu, Pau-Choo Chung, Ming-Chyi Pai

研究成果: Conference contribution

1 引文 (Scopus)

摘要

The similarity comparisons between single-task walking and dual-task walking on Alzheimer's disease (AD) patients has been commonly performed for cognitive declination measurement. This paper presents a personalized gait similarity measurement approach based on Hidden Markov model for the self-comparison between the single-task walking and dual-task walking. Compared with traditional approaches which use statistics parameters comparison on normal group and AD group, the proposed personalized HMM-based self-comparison approach can avoid the dilemma resulted from personal differences such as walking habits and physical conditions such as height and weight. In this paper, two groups, 42 AD patients and 64 healthy control (HC) people, participate the experiments. The results show the promising of the proposed approach in comparing the AD from the normal people.

原文English
主出版物標題2015 International Joint Conference on Neural Networks, IJCNN 2015
發行者Institute of Electrical and Electronics Engineers Inc.
2015-September
ISBN(電子)9781479919604, 9781479919604, 9781479919604, 9781479919604
DOIs
出版狀態Published - 2015 九月 28
事件International Joint Conference on Neural Networks, IJCNN 2015 - Killarney, Ireland
持續時間: 2015 七月 122015 七月 17

Other

OtherInternational Joint Conference on Neural Networks, IJCNN 2015
國家Ireland
城市Killarney
期間15-07-1215-07-17

指紋

Hidden Markov models
Statistics
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

引用此文

Wang, W. H., Wu, H. L., Chung, P-C., & Pai, M-C. (2015). An HMM-based gait comparison: Using Alzheimer's disease patients as examples. 於 2015 International Joint Conference on Neural Networks, IJCNN 2015 (卷 2015-September). [7280795] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2015.7280795
Wang, Wei Hsin ; Wu, Hao Li ; Chung, Pau-Choo ; Pai, Ming-Chyi. / An HMM-based gait comparison : Using Alzheimer's disease patients as examples. 2015 International Joint Conference on Neural Networks, IJCNN 2015. 卷 2015-September Institute of Electrical and Electronics Engineers Inc., 2015.
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abstract = "The similarity comparisons between single-task walking and dual-task walking on Alzheimer's disease (AD) patients has been commonly performed for cognitive declination measurement. This paper presents a personalized gait similarity measurement approach based on Hidden Markov model for the self-comparison between the single-task walking and dual-task walking. Compared with traditional approaches which use statistics parameters comparison on normal group and AD group, the proposed personalized HMM-based self-comparison approach can avoid the dilemma resulted from personal differences such as walking habits and physical conditions such as height and weight. In this paper, two groups, 42 AD patients and 64 healthy control (HC) people, participate the experiments. The results show the promising of the proposed approach in comparing the AD from the normal people.",
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Wang, WH, Wu, HL, Chung, P-C & Pai, M-C 2015, An HMM-based gait comparison: Using Alzheimer's disease patients as examples. 於 2015 International Joint Conference on Neural Networks, IJCNN 2015. 卷 2015-September, 7280795, Institute of Electrical and Electronics Engineers Inc., International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, 15-07-12. https://doi.org/10.1109/IJCNN.2015.7280795

An HMM-based gait comparison : Using Alzheimer's disease patients as examples. / Wang, Wei Hsin; Wu, Hao Li; Chung, Pau-Choo; Pai, Ming-Chyi.

2015 International Joint Conference on Neural Networks, IJCNN 2015. 卷 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. 7280795.

研究成果: Conference contribution

TY - GEN

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AU - Wang, Wei Hsin

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AU - Pai, Ming-Chyi

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N2 - The similarity comparisons between single-task walking and dual-task walking on Alzheimer's disease (AD) patients has been commonly performed for cognitive declination measurement. This paper presents a personalized gait similarity measurement approach based on Hidden Markov model for the self-comparison between the single-task walking and dual-task walking. Compared with traditional approaches which use statistics parameters comparison on normal group and AD group, the proposed personalized HMM-based self-comparison approach can avoid the dilemma resulted from personal differences such as walking habits and physical conditions such as height and weight. In this paper, two groups, 42 AD patients and 64 healthy control (HC) people, participate the experiments. The results show the promising of the proposed approach in comparing the AD from the normal people.

AB - The similarity comparisons between single-task walking and dual-task walking on Alzheimer's disease (AD) patients has been commonly performed for cognitive declination measurement. This paper presents a personalized gait similarity measurement approach based on Hidden Markov model for the self-comparison between the single-task walking and dual-task walking. Compared with traditional approaches which use statistics parameters comparison on normal group and AD group, the proposed personalized HMM-based self-comparison approach can avoid the dilemma resulted from personal differences such as walking habits and physical conditions such as height and weight. In this paper, two groups, 42 AD patients and 64 healthy control (HC) people, participate the experiments. The results show the promising of the proposed approach in comparing the AD from the normal people.

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Wang WH, Wu HL, Chung P-C, Pai M-C. An HMM-based gait comparison: Using Alzheimer's disease patients as examples. 於 2015 International Joint Conference on Neural Networks, IJCNN 2015. 卷 2015-September. Institute of Electrical and Electronics Engineers Inc. 2015. 7280795 https://doi.org/10.1109/IJCNN.2015.7280795