Sit-to-stand and sit-to-walk are common functional movements that provide insight into an individual's functional mobility. Developing comprehensive measures of these movements using ear-worn inertial measurement units (IMUs), which are increasingly incorporated into widely used devices such as hearing aids and headphones, could provide a means of monitoring older adults and individuals with movement disorders with...
✦ The floor
Discussion
Signed responses from readers of the wire.
No actionable change for audiologists currently; this is an early-stage algorithm validation study, but it signals a near-future capability for hearing devices to double as mobility and fall-risk monitoring tools.
Ear-worn inertial sensing for mobility assessment could expand the clinical and commercial role of hearing devices beyond hearing correction into preventive health monitoring.
- 01Algorithm developed to detect sit-to-stand and sit-to-walk transitions using ear-worn inertial measurement units (IMUs).
- 02Ear location validated as a viable sensor placement for functional mobility detection.
- 03Sit-to-stand and sit-to-walk movements are established markers of fall risk and functional decline.
- 04Study is at algorithm development/validation stage — not yet integrated into commercial devices.
- 05Findings could inform future hearing-device features targeting older adults.
Ear-worn inertial sensors can accurately detect sit-to-stand and sit-to-walk movements as markers of functional mobility.
studypartially supportedThe developed algorithm is valid for measuring functional mobility from an ear-worn sensor position.
studypartially supported- PMID
- 42869427
- DOI
- 10.2196/100936.
- Journal
- JMIR (Journal of Medical Internet Research)
- Publication type
- research_article
- Evidence level
- 4
- Intervention
- Ear-worn inertial measurement unit algorithm for sit-to-stand and sit-to-walk detection
- Comparator
- Reference standard mobility measurement
Primary outcomes
Algorithm accuracy for detecting sit-to-stand transitions; Algorithm accuracy for detecting sit-to-walk transitions; Validation of ear as sensor placement for mobility assessment