Abstract:
With the increasing elderly population, the number of individuals afflicted with dementia is also rising year by year. Apart from causing cognitive impairments, dementia ...Show MoreMetadata
Abstract:
With the increasing elderly population, the number of individuals afflicted with dementia is also rising year by year. Apart from causing cognitive impairments, dementia also leads to a decline in hand grip strength, thereby impacting the daily lives of patients. Hence, this study endeavors to design and develop a novel wearable sensing device that integrates sEMG technology. It aims to accurately detect and train hand grip strength in the elderly population with dementia, with the ultimate goal of effectively preventing the onset of dementia.
Date of Conference: 10-13 October 2023
Date Added to IEEE Xplore: 16 November 2023
ISBN Information:
ISSN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Training ,
- Wearable computers ,
- Sociology ,
- Muscles ,
- Physiology ,
- Sensors ,
- Older adults
- Index Terms
- Grip Strength ,
- Elderly Population ,
- Handgrip Strength ,
- Decline In Strength ,
- Quality Of Life ,
- Alzheimer’s Disease ,
- Prior Experience ,
- Muscle Contraction ,
- Muscle Activity ,
- Design Features ,
- Alzheimer’s Disease Patients ,
- Wearable Devices ,
- Training Methods ,
- Gamification ,
- Switching Mechanism ,
- Surface Electromyography ,
- Progressive Training ,
- Rehabilitation Training ,
- Hand Muscles ,
- Muscle Coordination ,
- Applications In Wearable Devices ,
- Experience In Rehabilitation ,
- Rehabilitation System ,
- Contraction Strength ,
- Level Of Willingness ,
- Memory Impairment ,
- Sensor Placement ,
- Field Of Rehabilitation ,
- Electrical Activity ,
- Wireless
- Author Keywords
- elderly ,
- dementia ,
- sEMG ,
- wearable device
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Training ,
- Wearable computers ,
- Sociology ,
- Muscles ,
- Physiology ,
- Sensors ,
- Older adults
- Index Terms
- Grip Strength ,
- Elderly Population ,
- Handgrip Strength ,
- Decline In Strength ,
- Quality Of Life ,
- Alzheimer’s Disease ,
- Prior Experience ,
- Muscle Contraction ,
- Muscle Activity ,
- Design Features ,
- Alzheimer’s Disease Patients ,
- Wearable Devices ,
- Training Methods ,
- Gamification ,
- Switching Mechanism ,
- Surface Electromyography ,
- Progressive Training ,
- Rehabilitation Training ,
- Hand Muscles ,
- Muscle Coordination ,
- Applications In Wearable Devices ,
- Experience In Rehabilitation ,
- Rehabilitation System ,
- Contraction Strength ,
- Level Of Willingness ,
- Memory Impairment ,
- Sensor Placement ,
- Field Of Rehabilitation ,
- Electrical Activity ,
- Wireless
- Author Keywords
- elderly ,
- dementia ,
- sEMG ,
- wearable device
