Literature DB >> 17028403

Investigation of fall-risk using a wearable device with accelerometers and rate gyroscopes.

Daniele Giansanti1.   

Abstract

A clinical tool and an associated test that can assess fall-risk in elderly patients have been designed. The clinical tool was based on a wearable device with accelerometers and rate gyroscopes to identify trunk kinematic parameters. The test was based on a posturography protocol with different constraints and statistical analysis of the kinematic parameters. Statistical clustering based on the Mahalanobis distance was carried out using three groups of 30 subjects (1, age < 65 years; 2, age > or = 65 years and 3, age > or = 65 years and a fall history). The method was statistically validated using three groups of 100 subjects. The test allowed discrimination of elderly subjects with a high fall-risk with high specificity > or = 0.930 and sensitivity > or = 0.939.

Entities:  

Mesh:

Year:  2006        PMID: 17028403     DOI: 10.1088/0967-3334/27/11/003

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  13 in total

1.  Automatic individual calibration in fall detection--an integrative ambulatory measurement framework.

Authors:  Jian Liu; Thurmon E Lockhart
Journal:  Comput Methods Biomech Biomed Engin       Date:  2011-12-08       Impact factor: 1.763

2.  Technology Innovation Enabling Falls Risk Assessment in a Community Setting.

Authors:  Cliodhna Ni Scanaill; Chiara Garattini; Barry R Greene; Michael J McGrath
Journal:  Ageing Int       Date:  2010-12-07

3.  Local Dynamic Stability Assessment of Motion Impaired Elderly Using Electronic Textile Pants.

Authors:  Jian Liu; Thurmon E Lockhart; Mark Jones; Tom Martin
Journal:  IEEE Trans Autom Sci Eng       Date:  2008-10       Impact factor: 5.083

4.  A fall and near-fall assessment and evaluation system.

Authors:  Anh Dinh; Yang Shi; Daniel Teng; Amitoz Ralhan; Li Chen; Vanina Dal Bello-Haas; Jenny Basran; Seok-Bum Ko; Carl McCrowsky
Journal:  Open Biomed Eng J       Date:  2009-01-21

5.  Predicting in-patient falls in a geriatric clinic: a clinical study combining assessment data and simple sensory gait measurements.

Authors:  M Marschollek; G Nemitz; M Gietzelt; K H Wolf; H Meyer Zu Schwabedissen; R Haux
Journal:  Z Gerontol Geriatr       Date:  2009-06-20       Impact factor: 1.281

6.  Health in the palm of your hand-part 1: the risks from smartphone abuse and the role of telemedicine and e-Health.

Authors:  Daniele Giansanti; Giovanni Maccioni
Journal:  Mhealth       Date:  2021-07-20

7.  Detecting destabilizing wheelchair conditions for maintaining seated posture.

Authors:  Anna Crawford; Kiley Armstrong; Kenneth Loparo; Musa Audu; Ronald Triolo
Journal:  Disabil Rehabil Assist Technol       Date:  2017-04-01

8.  Feature extraction and selection for objective gait analysis and fall risk assessment by accelerometry.

Authors:  Benoit Caby; Suzanne Kieffer; Marie de Saint Hubert; Gerald Cremer; Benoit Macq
Journal:  Biomed Eng Online       Date:  2011-01-09       Impact factor: 2.819

9.  Review: Are we stumbling in our quest to find the best predictor? Over-optimism in sensor-based models for predicting falls in older adults.

Authors:  Tal Shany; Kejia Wang; Ying Liu; Nigel H Lovell; Stephen J Redmond
Journal:  Healthc Technol Lett       Date:  2015-08-03

Review 10.  Review of fall risk assessment in geriatric populations using inertial sensors.

Authors:  Jennifer Howcroft; Jonathan Kofman; Edward D Lemaire
Journal:  J Neuroeng Rehabil       Date:  2013-08-08       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.