ArticleSensors (Basel, Switzerland)2019
INBED: A Highly Specialized System for Bed-Exit-Detection and Fall Prevention on a Geriatric Ward.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 29 citations in OpenAlex.
- Sensor Modality Versus Pretraining for Recognising Bed-Exit-Relevant Postural Transitions: A Gyroscope-Focused Feasibility Study on Public Wearable-IMU Data.Sensors (Basel, Switzerland) · 2026Article
- Applications of telemedicine in the management of patients with hip fracture: a scoping review.BMC medical informatics and decision making · 2026Article
- Fall-from-Bed Risk Prediction Using Physics-Based Bed Simulation.Sensors (Basel, Switzerland) · 2026Article
- Assessing the Accuracy of Bed-Occupancy With a tina.care Bed Sensor in Hospital Wards and Home Care Settings: A Pilot Study.IEEE open journal of engineering in medicine and biology · 2025Article
- Enhancing Patient Safety Through an Integrated Internet of Things Patient Care System: Large Quasi-Experimental Study on Fall Prevention.Journal of medical Internet research · 2024Article
- Technological prospecting of patents related to monitoring accidents due to falls in hospitals.Revista brasileira de enfermagem · 2024Article
- Sensors and digital medicine in orthopaedic surgery.OTA international : the open access journal of orthopaedic trauma · 2022Article
- Design and Implementation of a Wearable Accelerometer-Based Motion/Tilt Sensing Internet of Things Module and Its Application to Bed Fall Prevention.Biosensors · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn geriatric institutions, the risk of falling of patients is very high and frequently leads to fractures of the femoral neck, which can result in serious consequences and medical costs. With regard to the current numbers of elderly people, the need for smart solutions for the prevention of falls in clinical environments as well as in everyday life has been evolving.
methodsHence, in this paper, we present the Inexpensive Node for bed-exit Detection (INBED), a comprehensive, favourable signaling system for bed-exit detection and fall prevention, to support the clinical efforts in terms of fall reduction. The tough requirements for such a system in clinical environments were gathered in close cooperation with geriatricians.
resultsThe conceptional efforts led to a multi-component system with a core wearable device, attached to the patients, to detect several types of movements such as rising, restlessness and-in the worst case-falling. Occurring events are forwarded to the nursing staff immediately by using a modular, self-organizing and dependable wireless infrastructure. Both, the hardware and software of the entire INBED system as well as the particular design process are discussed in detail. Moreover, a trail test of the system is presented.
conclusionsThe INBED system can help to relieve the nursing staff significantly while the personal freedom of movement and the privacy of patients is increased compared to similar systems.
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