Literature DB >> 16111412

A new intelligent bed care system for hospital and home patients.

Yoshiharu Yonezawa1, Yasuaki Miyamoto, Hiromichi Maki, Hidekuni Ogawa, Ishio Ninomiya, Kouji Sada, Shingo Hamada, W Morton Caldwell.   

Abstract

An intelligent bed-care system has been developed for monitoring patient movements and behavior in the hospital and at home in order to prevent injuries from falls, a major problem in health care facilities. Falls, as well as patient activity immediately preceding falls (i.e. exiting the bed), are especially dangerous when infusion extubation also occurs. This new system detects in-bed infusion fluid leaks, bleeding due to infusion-tube pullout, and urine resulting from incontinence. It employs stainless steel tape and wire noncontacting electrodes, several linear integrated circuits, and a low-power, 8-bit single-chip microcomputer The electrodes are installed between the bed mattress and sheet to record changes in an always-present alternating current (AC) voltage, which is induced on the patient's body by electrostatic coupling from a 100-V, 60-Hz alternating current power line around the bed. The microcomputer uses changes in the induced alternating current voltage to detect the patient's movements before and after leaving the bed, as well as any fluid leakage. The microcomputer alerts the nursing station, via the nurse call system or personal handy phone (PHS), that the patient is in an active state; has a dangerous posture on the bed; is contaminating the sheet due to leaking, bleeding or incontinence; or is out of bed.

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Year:  2005        PMID: 16111412     DOI: 10.2345/0899-8205(2005)39[313:ANIBCS]2.0.CO;2

Source DB:  PubMed          Journal:  Biomed Instrum Technol        ISSN: 0899-8205


  1 in total

Review 1.  Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers.

Authors:  Tatjana Loncar-Turukalo; Eftim Zdravevski; José Machado da Silva; Ioanna Chouvarda; Vladimir Trajkovik
Journal:  J Med Internet Res       Date:  2019-09-05       Impact factor: 5.428

  1 in total

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