GAL@Home: a feasibility study of sensor-based in-home fall detection
| Autor: | Markus Meis, Elisabeth Steinhagen-Thiessen, Jens Spehr, Ehmen Y, Mehmet Gövercin, Florian Feldwieser, Klaus-Hendrik Wolf, Michael Marschollek, Matthias Gietzelt, S. Wegel |
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| Rok vydání: | 2012 |
| Předmět: |
Adult
Male medicine.medical_specialty Engineering Health (social science) Video Recording Poison control Accelerometer Social Environment Risk Assessment Occupational safety and health Physical medicine and rehabilitation Injury prevention Accelerometry medicine Humans Mobility Limitation Simulation Aged 80 and over Home environment business.industry Optical Devices Signal Processing Computer-Assisted Fall risk Equipment Design Patient Acceptance of Health Care Issues ethics and legal aspects Falling (accident) Accidents Home Accidental Falls Female Fall detection Geriatrics and Gerontology medicine.symptom business Gerontology Algorithms |
| Zdroj: | Zeitschrift fur Gerontologie und Geriatrie. 45(8) |
| ISSN: | 1435-1269 |
| Popis: | BACKGROUND: A considerable proportion of falls occur within the domestic environment. Sensor-based identification of falls in seniors' homes could help them to remain autonomous and self-sufficient in their own homes. The objective of this study was to evaluate fall detection systems within the home environment using optical and accelerometric sensor systems. METHODS: Portable triaxial accelerometers and optical sensors were used to detect falls in subjects with known problems of mobility and a recent fall history. RESULTS: Three subjects were investigated with the system. Overall nine falls occurred during the study period. Four falls were recorded by the accelerometric system and one fall by the optical system. Subjects with increased risk of falling as measured with mobility and fall risk assessments tend to fall more frequently. CONCLUSION: The study shows that there is a considerably large difference between fall-detector evaluation studies in domestic environments and in laboratory trials. Language: en |
| Databáze: | OpenAIRE |
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