Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training
Auditory feedback has earlier been explored as a tool to enhance patient awareness of gait kinematics during rehabilitation. In this study, we devised and tested a novel set of concurrent feedback paradigms on swing phase kinematics in hemiparetic gait training. We adopted a user-centered design app...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/8/3964 |
| _version_ | 1797603495604387840 |
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| author | Prithvi Ravi Kantan Sofia Dahl Helle Rovsing Jørgensen Chetali Khadye Erika G. Spaich |
| author_facet | Prithvi Ravi Kantan Sofia Dahl Helle Rovsing Jørgensen Chetali Khadye Erika G. Spaich |
| author_sort | Prithvi Ravi Kantan |
| collection | DOAJ |
| description | Auditory feedback has earlier been explored as a tool to enhance patient awareness of gait kinematics during rehabilitation. In this study, we devised and tested a novel set of concurrent feedback paradigms on swing phase kinematics in hemiparetic gait training. We adopted a user-centered design approach, where kinematic data recorded from 15 hemiparetic patients was used to design three feedback algorithms (wading sounds, abstract, musical) based on filtered gyroscopic data from four inexpensive wireless inertial units. The algorithms were tested (hands-on) by a focus group of five physiotherapists. They recommended that the abstract and musical algorithms be discarded due to sound quality and informational ambiguity. After modifying the wading algorithm (as per their feedback), we conducted a feasibility test involving nine hemiparetic patients and seven physiotherapists, where variants of the algorithm were applied to a conventional overground training session. Most patients found the feedback meaningful, enjoyable to use, natural-sounding, and tolerable for the typical training duration. Three patients exhibited immediate improvements in gait quality when the feedback was applied. However, minor gait asymmetries were found to be difficult to perceive in the feedback, and there was variability in receptiveness and motor change among the patients. We believe that our findings can advance current research in inertial sensor-based auditory feedback for motor learning enhancement during neurorehabilitation. |
| first_indexed | 2024-03-11T04:32:56Z |
| format | Article |
| id | doaj.art-5b3e87d265674f3f83ec95720799c578 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:32:56Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5b3e87d265674f3f83ec95720799c5782023-11-17T21:17:08ZengMDPI AGSensors1424-82202023-04-01238396410.3390/s23083964Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait TrainingPrithvi Ravi Kantan0Sofia Dahl1Helle Rovsing Jørgensen2Chetali Khadye3Erika G. Spaich4Department of Architecture, Design and Media Technology, Aalborg University, 2450 Copenhagen, DenmarkDepartment of Architecture, Design and Media Technology, Aalborg University, 2450 Copenhagen, DenmarkNeuroenhed Nord, Regionhospital Nordjylland, 9700 Brønderslev, DenmarkDivision of Population Health and Genomics, University of Dundee, Dundee DD1 4HN, Scotland, UKDepartment of Health Science and Technology, Aalborg University, 9260 Gistrup, DenmarkAuditory feedback has earlier been explored as a tool to enhance patient awareness of gait kinematics during rehabilitation. In this study, we devised and tested a novel set of concurrent feedback paradigms on swing phase kinematics in hemiparetic gait training. We adopted a user-centered design approach, where kinematic data recorded from 15 hemiparetic patients was used to design three feedback algorithms (wading sounds, abstract, musical) based on filtered gyroscopic data from four inexpensive wireless inertial units. The algorithms were tested (hands-on) by a focus group of five physiotherapists. They recommended that the abstract and musical algorithms be discarded due to sound quality and informational ambiguity. After modifying the wading algorithm (as per their feedback), we conducted a feasibility test involving nine hemiparetic patients and seven physiotherapists, where variants of the algorithm were applied to a conventional overground training session. Most patients found the feedback meaningful, enjoyable to use, natural-sounding, and tolerable for the typical training duration. Three patients exhibited immediate improvements in gait quality when the feedback was applied. However, minor gait asymmetries were found to be difficult to perceive in the feedback, and there was variability in receptiveness and motor change among the patients. We believe that our findings can advance current research in inertial sensor-based auditory feedback for motor learning enhancement during neurorehabilitation.https://www.mdpi.com/1424-8220/23/8/3964biofeedbackswing phaseacoustic feedbackgait rehabilitationassistive technologyhemiparetic |
| spellingShingle | Prithvi Ravi Kantan Sofia Dahl Helle Rovsing Jørgensen Chetali Khadye Erika G. Spaich Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training Sensors biofeedback swing phase acoustic feedback gait rehabilitation assistive technology hemiparetic |
| title | Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training |
| title_full | Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training |
| title_fullStr | Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training |
| title_full_unstemmed | Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training |
| title_short | Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training |
| title_sort | designing ecological auditory feedback on lower limb kinematics for hemiparetic gait training |
| topic | biofeedback swing phase acoustic feedback gait rehabilitation assistive technology hemiparetic |
| url | https://www.mdpi.com/1424-8220/23/8/3964 |
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