Literature DB >> 19964699

Clinical applications of wearable technology.

Paolo Bonato1.   

Abstract

An important factor contributing to the process involved in choosing a rehabilitation intervention is the assessment of its impact on the real life of patients. Therapists and physicians have to infer the effectiveness of rehabilitation approaches from observations performed in the clinical setting and from patients' feedback. Recent advances in wearable technology have provided means to supplement the information gathered using tools based on patient's direct observation as well as interviews and questionnaires. A new generation of wearable sensors and systems has recently become available thus providing clinical personnel with a "window of observation" in the home and community settings. These tools allow one to capture patients' activity level and exercise compliance, facilitate titration of medications in chronic patients, and provide means to assess the ability of patients to perform specific motor activities. In this paper, we review recent advances in the field of wearable technology and provide examples of application of this technology in rehabilitation.

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Year:  2009        PMID: 19964699     DOI: 10.1109/IEMBS.2009.5333997

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


  6 in total

1.  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

2.  Recommended number of strides for automatic assessment of gait symmetry and regularity in above-knee amputees by means of accelerometry and autocorrelation analysis.

Authors:  Andrea Tura; Laura Rocchi; Michele Raggi; Andrea G Cutti; Lorenzo Chiari
Journal:  J Neuroeng Rehabil       Date:  2012-02-08       Impact factor: 4.262

3.  A multi-channel opto-electronic sensor to accurately monitor heart rate against motion artefact during exercise.

Authors:  Abdullah Alzahrani; Sijung Hu; Vicente Azorin-Peris; Laura Barrett; Dale Esliger; Matthew Hayes; Shafique Akbare; Jérôme Achart; Sylvain Kuoch
Journal:  Sensors (Basel)       Date:  2015-10-12       Impact factor: 3.576

4.  Accuracy of a Wrist-Worn Heart Rate Sensing Device during Elective Pediatric Surgical Procedures.

Authors:  Gloria Pelizzo; Anna Guddo; Aurora Puglisi; Annalisa De Silvestri; Calogero Comparato; Mario Valenza; Emanuele Bordonaro; Valeria Calcaterra
Journal:  Children (Basel)       Date:  2018-03-08

5.  Accuracy of a Wrist-Worn Wearable Device for Monitoring Heart Rates in Hospital Inpatients: A Prospective Observational Study.

Authors:  Ryan R Kroll; J Gordon Boyd; David M Maslove
Journal:  J Med Internet Res       Date:  2016-09-20       Impact factor: 5.428

6.  An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use.

Authors:  Cristina Botella; Adriana Mira; Inés Moragrega; Azucena García-Palacios; Juana Bretón-López; Diana Castilla; Antonio Riera López Del Amo; Carla Soler; Guadalupe Molinari; Soledad Quero; Verónica Guillén-Botella; Ignacio Miralles; Sara Nebot; Berenice Serrano; Dennis Majoe; Mariano Alcañiz; Rosa María Baños
Journal:  Neuropsychiatr Dis Treat       Date:  2016-02-23       Impact factor: 2.570

  6 in total

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