Telemed J E Health - HONEY: a multimodality fall detection and telecare system.

Tópicos

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Resumo

CKGROUND: The increasing cost in terms of money and healthcare resources is driving healthcare providers to provide home-based telecare instead of institutionalized healthcare. Falling is one of the most common and dangerous accidents for elderly individuals and a significant factor affecting the living quality of the elderly. Many efforts have been put toward providing a robust method to detect falls accurately and in a timely manner. This study facilitated a reliable, safe, and real-time home-based healthcare environment, which we have termed the Home Healthcare Sentinel System (HONEY), to detect falls for elderly people in the home telecare environment. The basic idea of HONEY is a three-step detection scheme that consists of multimodality signal sources, including an accelerometer sensor, audio, images, and video clips via speech recognition and on-demand video techniques.MATERIALS AND METHODS: The magnitude of acceleration, corresponding to a user's movements, triggers fall detection combining speech recognition and on-demand video. If a fall occurs, an alarm e-mail is delivered to medical staff or caregivers at once, containing the fall information, so that caregivers could make a primary diagnosis based on it. This article also describes the implementation of the prototype of HONEY.RESULTS: A comprehensive evaluation with 10 volunteers shows that HONEY has high accuracy of 94% for fall detection, 18% higher than the Advanced Magnitude Algorithm (AMA), which is a wearable sensor-based method, and the false-positive and false-negative rates are 3% and 10%, respectively, 19% and 16% lower than AMA, respectively. The average response time for a detected fall is 46.2s, which is also short enough for first aid.CONCLUSIONS: In summary, HONEY provides a highly reliable and convenient fall detection solution for the home-based environment.

Resumo Limpo

ckground increas cost term money healthcar resourc drive healthcar provid provid homebas telecar instead institution healthcar fall one common danger accid elder individu signific factor affect live qualiti elder mani effort put toward provid robust method detect fall accur time manner studi facilit reliabl safe realtim homebas healthcar environ term home healthcar sentinel system honey detect fall elder peopl home telecar environ basic idea honey threestep detect scheme consist multimod signal sourc includ acceleromet sensor audio imag video clip via speech recognit ondemand video techniquesmateri method magnitud acceler correspond user movement trigger fall detect combin speech recognit ondemand video fall occur alarm email deliv medic staff caregiv contain fall inform caregiv make primari diagnosi base articl also describ implement prototyp honeyresult comprehens evalu volunt show honey high accuraci fall detect higher advanc magnitud algorithm ama wearabl sensorbas method falseposit falseneg rate respect lower ama respect averag respons time detect fall s also short enough first aidconclus summari honey provid high reliabl conveni fall detect solut homebas environ

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