Literature DB >> 24110794

Monitoring of bedridden patients: development of a fall detection tool.

M Vilas-Boas, P Silva, S R Cunha, M V Correia.   

Abstract

Falls of patients are an important issue in hospitals nowadays; it causes severe injuries, increases hospitalization time and treatment costs. The detection of a fall, in time, provides faster rescue to the patient, preventing more serious injuries, as well as saving nursing time. The MovinSense® is an electronic device designed for monitoring patients to prevent pressure sores, and the main goal of this work was to develop a new tool for this device, with the purpose of detecting if the patient has fallen from the hospital bed, without changing any of the device's original features. Experiments for gathering data samples of inertial signals of falling from the bed were obtained using the device. For fall detection a sensitivity of 72% and specificity of 100% were reached. Another algorithm was developed to detect if the patient got out of his/her bed.

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Year:  2013        PMID: 24110794     DOI: 10.1109/EMBC.2013.6610607

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Bed-Exit Behavior Recognition for Real-Time Images within Limited Range.

Authors:  Cheng-Jian Lin; Ta-Sen Wei; Peng-Ta Liu; Bing-Hong Chen; Chi-Huang Shih
Journal:  Sensors (Basel)       Date:  2022-07-23       Impact factor: 3.847

  1 in total

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