TY - JOUR
T1 - Adaptive auditory assistance for stride length cadence modification in older adults and people with Parkinson’s
AU - Wu, Tina
AU - Murphy, Anna
AU - Chen, Chao
AU - Kulic, Dana
N1 - Funding Information:
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. DK is supported by an Australian Research Council Future Fellowship (FT200100761). This work is supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), Monash Institute of Medical Engineering (MIME), The Commonwealth Scientific and Industrial Research Organisation (CSIRO), and Monash Partners.
Publisher Copyright:
Copyright © 2024 Wu, Murphy, Chen and Kulić.
PY - 2024/2/7
Y1 - 2024/2/7
N2 - Gait rehabilitation using auditory cues can help older adults and people with Parkinson’s improve walking performance. While auditory cues are convenient and can reliably modify gait cadence, it is not clear if auditory cues can reliably modify stride length (SL), another key gait performance metric. Existing algorithms also do not address habituation or fluctuation in motor capability, and have not been evaluated with target populations or under dual-task conditions. In this study, we develop an adaptive auditory cueing framework that aims to modulate SL and cadence. The framework monitors the gait parameters and learns a personalized cue-response model to relate the gait parameters to the input cues. The cue-response model is represented using a multi-output Gaussian Process (MOGP) and is used during optimization to select the cue to provide. The adaptive cueing approach is benchmarked against the fixed approach, where cues are provided at a fixed cadence. The two approaches are tested under single and dual-task conditions with 13 older adults (OA) and 8 people with Parkinson’s (PwP). The results show that more than half of the OA and PwP in the study can change both SL and cadence using auditory cues. The fixed approach is best at changing people’s gait without secondary task, however, the addition of the secondary task significantly degrades effectiveness at changing SL. The adaptive approach can maintain the same level of SL change regardless of the presence of the secondary task. A separate analysis is conducted to identify factors that influence the performance of the adaptive framework. Gait information from the previous time step, along with the previous input cue, can improve its prediction accuracy. More diversity in the initialization data can also improve the GP model. Finally, we did not find a strong correlation between stride length and cadence when the parameters are contingent upon input cues.
AB - Gait rehabilitation using auditory cues can help older adults and people with Parkinson’s improve walking performance. While auditory cues are convenient and can reliably modify gait cadence, it is not clear if auditory cues can reliably modify stride length (SL), another key gait performance metric. Existing algorithms also do not address habituation or fluctuation in motor capability, and have not been evaluated with target populations or under dual-task conditions. In this study, we develop an adaptive auditory cueing framework that aims to modulate SL and cadence. The framework monitors the gait parameters and learns a personalized cue-response model to relate the gait parameters to the input cues. The cue-response model is represented using a multi-output Gaussian Process (MOGP) and is used during optimization to select the cue to provide. The adaptive cueing approach is benchmarked against the fixed approach, where cues are provided at a fixed cadence. The two approaches are tested under single and dual-task conditions with 13 older adults (OA) and 8 people with Parkinson’s (PwP). The results show that more than half of the OA and PwP in the study can change both SL and cadence using auditory cues. The fixed approach is best at changing people’s gait without secondary task, however, the addition of the secondary task significantly degrades effectiveness at changing SL. The adaptive approach can maintain the same level of SL change regardless of the presence of the secondary task. A separate analysis is conducted to identify factors that influence the performance of the adaptive framework. Gait information from the previous time step, along with the previous input cue, can improve its prediction accuracy. More diversity in the initialization data can also improve the GP model. Finally, we did not find a strong correlation between stride length and cadence when the parameters are contingent upon input cues.
KW - adaptive auditory cueing
KW - aging gait
KW - gait rehabilitation
KW - Parkinson’s disease
KW - rhythmic auditory stimulation
UR - http://www.scopus.com/inward/record.url?scp=85185495319&partnerID=8YFLogxK
U2 - 10.3389/fphys.2024.1284236
DO - 10.3389/fphys.2024.1284236
M3 - Article
AN - SCOPUS:85185495319
SN - 1664-042X
VL - 15
JO - Frontiers in Physiology
JF - Frontiers in Physiology
M1 - 1284236
ER -