2nd Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.02EX578) · 2003 · 105 citations · 5 references
EngineeringComputer SystemsAssistive TechnologyFalls PreventionSensorsFall DetectionFall RiskSensor NetworksSmart SensorsWearable BiosensorsWearable Health TechnologiesFall Detection DevicesFall Detection SystemsFall Event DetectionFall RecognitionReal-time Fall DetectionSensor-based Fall MonitoringWearable Fall Detection SystemsWearable Sensor-based Fall Detection
Home health care offers a convenient solution for elderly who prefer to remain in their homes, yet isolation necessitates precise monitoring of their health and safety. This study aims to detect falls in the elderly while balancing real‑time detection, sensitivity, specificity, and intrusiveness. The authors present several technical approaches and detail a smart fall‑sensor principle that yields results and has led to a flexible version now being integrated into a garment. The sensor’s results indicate effective fall detection with high sensitivity and specificity, and the flexible garment version demonstrates practical applicability.
Home health care sounds to be a convenient solution for the elderly person not willing to abandon her natural environment for a living in a hospital. But as most of the older subjects leave alone on their own and because of the isolation, it is necessary to guarantee a more precise follow up of the health and security status of the person. The paper deals with the detection of the fall of the elderly. The ultimate goal is to reach a good compromise between real time detection, sensibility, specificity and intrusivity. Different technical approaches are presented. A more precise description of our smart fall sensor principle is presented, with results, and the proposition of the new flexible version which was realised and is being currently integrated in a garment.
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