Sensitivity of Apple Watch fall detection feature among wheelchair users
| Autor: | Jacob J. Sosnoff, Peter Presti, Laura A. Rice, Lina Hawari, Mikaela L Frechette, Libak Abou, Harshal P. Mahajan, Alexander Fliflet |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Adult
030506 rehabilitation medicine.medical_specialty Physical Therapy Sports Therapy and Rehabilitation Crash Lower limb 03 medical and health sciences Wearable Electronic Devices Young Adult 0302 clinical medicine Physical medicine and rehabilitation Wheelchair medicine Humans business.industry Rehabilitation equipment and supplies Wheelchairs Feature (computer vision) Accidental Falls High incidence Fall detection 0305 other medical science business human activities Sensitivity (electronics) 030217 neurology & neurosurgery |
| Zdroj: | Assistive technology : the official journal of RESNA. 34(5) |
| ISSN: | 1949-3614 |
| Popis: | A reliable fall detection device is crucial to minimize long-term consequences of falls among wheelchair users. This study examines the sensitivity of Apple Watch to detect intentional falls from a wheelchair. Twenty-five able bodied (age: 21.9 ± 2.5 years) participated in a protocol in which they intentionally fell out of a wheelchair in a laboratory setting. Each participant wore an Apple Watch Series 5 and performed 3 falls in the forward, right and left sideways, and backward directions onto a crash pad totaling 12 falls each. The Apple Watch was manually checked after each fall to determine if the device registered a fall. From 300 fall trials captured, the Apple Watch detected 14 falls showing a sensitivity of 4.7%, a false negative rate of 95.3%. Logistic regression showed that participant's height, impact force, lower limb functioning, and fall direction are parameters that may influence the ability of the Apple Watch to detect falls from a wheelchair. The Apple Watch fall detection feature presented with a very poor sensitivity to detect intentional falls from a wheelchair among able bodied young adults. Due to the high incidence and consequences of falls, a reliable fall detection device specific for wheelchair users is warranted. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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