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A Wearable Personalised Sonification and Biofeedback Device to Enhance Movement Awareness.
Pang, Toh Yen; Connelly, Thomas; Feltham, Frank; Cheng, Chi-Tsun; Rahman, Azizur; Chan, Jeffrey; McCarney, Luke; Neville, Katrina.
Affiliation
  • Pang TY; Biomedical Engineering, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.
  • Connelly T; Biomedical Engineering, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.
  • Feltham F; Industrial Design, School of Design, College of Design and Social Context, RMIT University, Melbourne, VIC 3000, Australia.
  • Cheng CT; Mechanical, Manufacturing and Mechatronic Engineering, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.
  • Rahman A; Occupational Health and Safety/Ergonomics, Construction, School of Property, Construction and Project Management, Design and Social Context, RMIT University, Melbourne, VIC 3000, Australia.
  • Chan J; Data Science & Artificial Intelligence, School of Computing Technologies, STEM College, RMIT University, Melbourne, VIC 3000, Australia.
  • McCarney L; Rehabilitation Sciences, School of Health and Biomedical Sciences, STEM College, RMIT University, Bundoora West, VIC 3083, Australia.
  • Neville K; Electrical & Electronic Engineering, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.
Sensors (Basel) ; 24(15)2024 Jul 24.
Article in En | MEDLINE | ID: mdl-39123861
ABSTRACT
Movement sonification has emerged as a promising approach for rehabilitation and motion control. Despite significant advancements in sensor technologies, challenges remain in developing cost-effective, user-friendly, and reliable systems for gait detection and sonification. This study introduces a novel wearable personalised sonification and biofeedback device to enhance movement awareness for individuals with irregular gait and posture. Through the integration of inertial measurement units (IMUs), MATLAB, and sophisticated audio feedback mechanisms, the device offers real-time, intuitive cues to facilitate gait correction and improve functional mobility. Utilising a single wearable sensor attached to the L4 vertebrae, the system captures kinematic parameters to generate auditory feedback through discrete and continuous tones corresponding to heel strike events and sagittal plane rotations. A preliminary test that involved 20 participants under various audio feedback conditions was conducted to assess the system's accuracy, reliability, and user synchronisation. The results indicate a promising improvement in movement awareness facilitated by auditory cues. This suggests a potential for enhancing gait and balance, particularly beneficial for individuals with compromised gait or those undergoing a rehabilitation process. This paper details the development process, experimental setup, and initial findings, discussing the integration challenges and future research directions. It also presents a novel approach to providing real-time feedback to participants about their balance, potentially enabling them to make immediate adjustments to their posture and movement. Future research should evaluate this method in varied real-world settings and populations, including the elderly and individuals with Parkinson's disease.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biofeedback, Psychology / Wearable Electronic Devices / Gait / Movement Limits: Adult / Female / Humans / Male Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biofeedback, Psychology / Wearable Electronic Devices / Gait / Movement Limits: Adult / Female / Humans / Male Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article