low as 640 pixels by 360 pixels. For falls at much longer distances, monitoring is also possible with affordable high-resolution cameras. The proposed system can detect falls with cameras mounted from 0° (low-altitude installation) up to 45° downward angle (high-altitude installation), compatib...
predictability, and explainability/interpretability. It seems that the current fall prediction literature (especially with non-wearables) is based on these methods. However, the advancements in monitoring systems and wearables facilitate further the creation of vast databases and cohorts...
Das Kapitel „Lebensrettende Systeme“ beschreibt zahlreiche und wichtige Faktoren, die das Management von Patienten mit Kreislaufstillstand global verbessern können, nicht als einzelne Intervention, sondern als Ansatz auf Systemebene. Ziel dieses Kapitels ist es, evidenzbasierte Best-Practice-Anlei...
IoT and Bluetooth capabilities can enable wearable low power models for efficient pre-fall detection and prediction [26]. Machine learning can be also used to evaluate fall characteristics, which can support a monitoring system for the strategic plan and fall prediction of the elderly and impaired ...
Fall accidents in industrial and construction environments require an immediate reaction, to provide first aid. Shortening the time between the fall and the relevant personnel being notified can significantly improve the safety and health of workers. Therefore, in this work, an IoT system for real-...
(This article belongs to the Special Issue Wearable Sensing Technology for Physiological and Behavioral Human Monitoring—2nd Edition)Download keyboard_arrow_down Browse Figures Versions Notes Abstract Falls are the second leading cause of unintentional injury deaths worldwide. While numerous wearable ...
What is effectively intended from the health sector are care structures and practices (re)oriented towards the close and realistic monitoring of the growing demand caused by the ever-increasing amount of people living longer without necessarily being able to live physically, socially, and economically...
Falls also frequently cause functional dependencies in elderly. “Approximately 28–35% of people aged of 65 and over fall each year increasing to 32–42% for those over 70 years of age” [1]. The incidence of falls varies in different countries and is less frequent in developed countries ...