Literature DB >> 22255665

Wearable systems with minimal set-up for monitoring and training of balance and mobility.

L Chiari1.   

Abstract

With the objective to release solutions which can be easily manageable by their final users, including older users, we worked to design methods and devices which rely on a minimal set-up for monitoring and rehabilitation of balance and mobility. A single inertial sensing unit, typically worn on the trunk, was hence engineered to accomplish for activity monitoring and event detection (including fall detection), tremor rejection, instrumented clinical tests (e.g. stabilometry, Timed-Up and Go), and sensory biofeedback (audio, visual or tactile). The sensing unit is wirelessly connected with a processing unit, which can in turn act as a gateway to remote applications or caregivers. Promising results were obtained, which may pave the way to novel intensive and pervasive neurorehabilitation strategies.

Entities:  

Mesh:

Year:  2011        PMID: 22255665     DOI: 10.1109/IEMBS.2011.6091442

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


  5 in total

1.  Accelerometry-based prediction of movement dynamics for balance monitoring.

Authors:  Valeria Lucia Fuschillo; Fabio Bagalà; Lorenzo Chiari; Angelo Cappello
Journal:  Med Biol Eng Comput       Date:  2012-07-18       Impact factor: 2.602

Review 2.  Toward Automating Clinical Assessments: A Survey of the Timed Up and Go.

Authors:  Gina Sprint; Diane J Cook; Douglas L Weeks
Journal:  IEEE Rev Biomed Eng       Date:  2015-01-12

3.  Estimation of human trunk movements by wearable strain sensors and improvement of sensor's placement on intelligent biomedical clothes.

Authors:  Paolo Tormene; Michelangelo Bartolo; Alessandro M De Nunzio; Federica Fecchio; Silvana Quaglini; Cristina Tassorelli; Giorgio Sandrini
Journal:  Biomed Eng Online       Date:  2012-12-14       Impact factor: 2.819

4.  A Capacitive 3-Axis MEMS Accelerometer for Medipost: A Portable System Dedicated to Monitoring Imbalance Disorders.

Authors:  Michał Szermer; Piotr Zając; Piotr Amrozik; Cezary Maj; Mariusz Jankowski; Grzegorz Jabłoński; Rafał Kiełbik; Jacek Nazdrowicz; Małgorzata Napieralska; Bartosz Sakowicz
Journal:  Sensors (Basel)       Date:  2021-05-20       Impact factor: 3.576

5.  Towards an Automated Unsupervised Mobility Assessment for Older People Based on Inertial TUG Measurements.

Authors:  Sandra Hellmers; Babak Izadpanah; Lena Dasenbrock; Rebecca Diekmann; Jürgen M Bauer; Andreas Hein; Sebastian Fudickar
Journal:  Sensors (Basel)       Date:  2018-10-02       Impact factor: 3.576

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.