Literature DB >> 23675644

In-home fall risk assessment and detection sensor system.

Marilyn J Rantz1, Marjorie Skubic, Carmen Abbott, Colleen Galambos, Youngju Pak, Dominic K C Ho, Erik E Stone, Liyang Rui, Jessica Back, Steven J Miller.   

Abstract

Falls are a major problem in older adults. A continuous, unobtrusive, environmentally mounted (i.e., embedded into the environment and not worn by the individual), in-home monitoring system that automatically detects when falls have occurred or when the risk of falling is increasing could alert health care providers and family members to intervene to improve physical function or manage illnesses that may precipitate falls. Researchers at the University of Missouri Center for Eldercare and Rehabilitation Technology are testing such sensor systems for fall risk assessment (FRA) and detection in older adults' apartments in a senior living community. Initial results comparing ground truth (validated measures) of FRA data and GAITRite System parameters with data captured from Microsoft(®) Kinect and pulse-Doppler radar are reported. Copyright 2013, SLACK Incorporated.

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Year:  2013        PMID: 23675644      PMCID: PMC3817841          DOI: 10.3928/00989134-20130503-01

Source DB:  PubMed          Journal:  J Gerontol Nurs        ISSN: 0098-9134            Impact factor:   1.254


  13 in total

Review 1.  Fall risk assessment measures: an analytic review.

Authors:  K L Perell; A Nelson; R L Goldman; S L Luther; N Prieto-Lewis; L Z Rubenstein
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-12       Impact factor: 6.053

2.  Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test.

Authors:  A Shumway-Cook; S Brauer; M Woollacott
Journal:  Phys Ther       Date:  2000-09

3.  Mixed models for assessing correlation in the presence of replication.

Authors:  Anthony Hamlett; Louise Ryan; Paulina Serrano-Trespalacios; Russ Wolfinger
Journal:  J Air Waste Manag Assoc       Date:  2003-04       Impact factor: 2.235

4.  Functional ambulation profile.

Authors:  A J Nelson
Journal:  Phys Ther       Date:  1974-10

5.  Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants.

Authors:  R W Bohannon
Journal:  Age Ageing       Date:  1997-01       Impact factor: 10.668

6.  Correlation, regression, and repeated data.

Authors:  J M Bland; D G Altman
Journal:  BMJ       Date:  1994-04-02

7.  A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission.

Authors:  J M Guralnik; E M Simonsick; L Ferrucci; R J Glynn; L F Berkman; D G Blazer; P A Scherr; R B Wallace
Journal:  J Gerontol       Date:  1994-03

8.  Validity of the multi-directional reach test: a practical measure for limits of stability in older adults.

Authors:  R A Newton
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-04       Impact factor: 6.053

9.  User-based motion sensing and fuzzy logic for automated fall detection in older adults.

Authors:  Patrick Boissy; Stéphane Choquette; Mathieu Hamel; Norbert Noury
Journal:  Telemed J E Health       Date:  2007-12       Impact factor: 3.536

10.  The timed "Up & Go": a test of basic functional mobility for frail elderly persons.

Authors:  D Podsiadlo; S Richardson
Journal:  J Am Geriatr Soc       Date:  1991-02       Impact factor: 5.562

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  6 in total

1.  Generating sensor data summaries to communicate change in elders' health status.

Authors:  G L Alexander; A Wilbik; J M Keller; K Musterman
Journal:  Appl Clin Inform       Date:  2014-01-29       Impact factor: 2.342

2.  Automated In-Home Fall Risk Assessment and Detection Sensor System for Elders.

Authors:  Marilyn Rantz; Marjorie Skubic; Carmen Abbott; Colleen Galambos; Mihail Popescu; James Keller; Erik Stone; Jessie Back; Steven J Miller; Gregory F Petroski
Journal:  Gerontologist       Date:  2015-06

3.  Survey on fall detection and fall prevention using wearable and external sensors.

Authors:  Yueng Santiago Delahoz; Miguel Angel Labrador
Journal:  Sensors (Basel)       Date:  2014-10-22       Impact factor: 3.576

Review 4.  Involvement of older people in the development of fall detection systems: a scoping review.

Authors:  Friederike J S Thilo; Barbara Hürlimann; Sabine Hahn; Selina Bilger; Jos M G A Schols; Ruud J G Halfens
Journal:  BMC Geriatr       Date:  2016-02-11       Impact factor: 3.921

5.  HemoKinect: A Microsoft Kinect V2 Based Exergaming Software to Supervise Physical Exercise of Patients with Hemophilia.

Authors:  Fernando Mateo; Emilio Soria-Olivas; Juan J Carrasco; Santiago Bonanad; Felipe Querol; Sofía Pérez-Alenda
Journal:  Sensors (Basel)       Date:  2018-07-26       Impact factor: 3.576

6.  Use of an Internet-of-Things Smart Home System for Healthy Aging in Older Adults in Residential Settings: Pilot Feasibility Study.

Authors:  Yong K Choi; Hilaire J Thompson; George Demiris
Journal:  JMIR Aging       Date:  2020-11-10
  6 in total

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