Literature DB >> 30310758

Design and Study of a Smart Cup for Monitoring the Arm and Hand Activity of Stroke Patients.

Maxence Bobin1, Margarita Anastassova2, Mehdi Boukallel2, Mehdi Ammi1.   

Abstract

This paper presents a new platform to monitor the arm and hand activity of stroke patients during rehabilitation exercises in the hospital and at home during their daily living activities. The platform provides relevant data to the therapist in order to assess the patients physical state and adapt the rehabilitation program if necessary. The platform consists of a self-contained smart cup that can be used to perform exercises that are similar to everyday tasks such as drinking. The first smart cup prototype, the design of which was based on interviews regarding the needs of therapists, contains various sensors that collect information about its orientation, the liquid level, its position compared to a reference target and tremors. The prototype also includes audio and visual displays that provide feedback to patients about their movements. Two studies were carried out in conjunction with healthcare professionals and patients. The first study focused on collecting feedback from healthcare professionals to assess the functionalities of the cup and to improve the prototype. Based on this paper, we designed an improved prototype and created a visualization tool for therapists. Finally, we carried out a preliminary study involving nine patients who had experienced an ischemic or hemorrhagic stroke in the previous 24 months. This preliminary study focused on assessing the usability and acceptability of the cup to the patients. The results showed that the cup was very well accepted by eight of the nine patients in monitoring their activity within a rehabilitation center or at home. Moreover, these eight patients had almost no concerns about the design of the cup and its usability.

Entities:  

Keywords:  Internet of Things; Stroke; home; monitoring; rehabilitation

Year:  2018        PMID: 30310758      PMCID: PMC6170138          DOI: 10.1109/JTEHM.2018.2853553

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372            Impact factor:   3.316


  28 in total

1.  Predicting outcome after stroke: the role of basic activities of daily living predicting outcome after stroke.

Authors:  B Gialanella; R Santoro; C Ferlucci
Journal:  Eur J Phys Rehabil Med       Date:  2013-05-08       Impact factor: 2.874

2.  Smart Cup: A Minimally-Instrumented, Smartphone-Based Point-of-Care Molecular Diagnostic Device.

Authors:  Shih-Chuan Liao; Jing Peng; Michael G Mauk; Sita Awasthi; Jinzhao Song; Harvey Friedman; Haim H Bau; Changchun Liu
Journal:  Sens Actuators B Chem       Date:  2016-06-28       Impact factor: 7.460

3.  Investigation of a new motor assessment scale for stroke patients.

Authors:  J H Carr; R B Shepherd; L Nordholm; D Lynne
Journal:  Phys Ther       Date:  1985-02

4.  Home or hospital for stroke rehabilitation? results of a randomized controlled trial : I: health outcomes at 6 months.

Authors:  C Anderson; S Rubenach; C N Mhurchu; M Clark; C Spencer; A Winsor
Journal:  Stroke       Date:  2000-05       Impact factor: 7.914

5.  Kinematic variables quantifying upper-extremity performance after stroke during reaching and drinking from a glass.

Authors:  Margit Alt Murphy; Carin Willén; Katharina S Sunnerhagen
Journal:  Neurorehabil Neural Repair       Date:  2010-09-09       Impact factor: 3.919

6.  Changing motor synergies in chronic stroke.

Authors:  L Dipietro; H I Krebs; S E Fasoli; B T Volpe; J Stein; C Bever; N Hogan
Journal:  J Neurophysiol       Date:  2007-06-06       Impact factor: 2.714

7.  Visual impairment following stroke: do stroke patients require vision assessment?

Authors:  Fiona Rowe; Darren Brand; Carole A Jackson; Alison Price; Linda Walker; Shirley Harrison; Carla Eccleston; Claire Scott; Nicola Akerman; Caroline Dodridge; Claire Howard; Tracey Shipman; Una Sperring; Sonia MacDiarmid; Cicely Freeman
Journal:  Age Ageing       Date:  2008-11-21       Impact factor: 10.668

8.  Hemibody tremor related to stroke.

Authors:  S Dethy; A Luxen; L M Bidaut; S Goldman
Journal:  Stroke       Date:  1993-12       Impact factor: 7.914

9.  Prevalence of spasticity post stroke.

Authors:  C L Watkins; M J Leathley; J M Gregson; A P Moore; T L Smith; A K Sharma
Journal:  Clin Rehabil       Date:  2002-08       Impact factor: 3.477

10.  Kinematic analysis of the upper limb motor strategies in stroke patients as a tool towards advanced neurorehabilitation strategies: a preliminary study.

Authors:  Irene Aprile; Marco Rabuffetti; Luca Padua; Enrica Di Sipio; Chiara Simbolotti; Maurizio Ferrarin
Journal:  Biomed Res Int       Date:  2014-04-24       Impact factor: 3.411

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  3 in total

1.  Design and implementation of an intelligent monitoring system for household added salt consumption in China based on a real-world study: a randomized controlled trial.

Authors:  Jinli Xian; Mao Zeng; Rui Zhu; Zhengjie Cai; Zumin Shi; Abu S Abdullah; Yong Zhao
Journal:  Trials       Date:  2020-04-21       Impact factor: 2.279

Review 2.  Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review.

Authors:  Ciro Mennella; Susanna Alloisio; Antonio Novellino; Federica Viti
Journal:  Sensors (Basel)       Date:  2021-12-28       Impact factor: 3.576

3.  Determining Factors that Influence Adoption of New Post-Stroke Sensorimotor Rehabilitation Devices in the USA.

Authors:  Corey M Morrow; Emily Johnson; Kit N Simpson; Na Jin Seo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-06-30       Impact factor: 4.528

  3 in total

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