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Low-cost accelerometry-based posture monitoring system for stroke survivors

Published: 13 October 2008 Publication History

Abstract

This paper reports a low-cost autonomous wearable accelerometry-based posture monitoring system for stroke survivors. The hardware part of the system consists of monitoring devices, each of which comprises of a three-axial accelerometer and a beeper, LED light and vibrator to provide redundant modes of inappropriate posture warnings that would hopefully trigger self-correction. The inappropriate posture data are stored in an EEPROM. The software part of the system downloads, analyzes and presents the data in graphical format to enable a carer or therapist to quickly glance at the durations, frequency and locations of inappropriate postures.

References

[1]
Dowswell, G., Dowswell, T. and Young, J. 2000. Adjusting stroke patients' poor position: an observational study. J. Advanced Nursing 32(2), 286--291.
[2]
Foerster, F., Smeja, M. and Fahrenberg, J. 1999. Detection of posture and motion by accelerometry: a validation study in ambulatory monitoring. Computers in Human Behavior 15(5), 571--583.
[3]
Bussman, H.J. 1998. Ambulatory monitoring of mobility-related activities in rehabilitation medicine. Eburon, Delft, the Netherlands.
[4]
Karnath H.O. and Boetz D. 2003. Understanding and treating "pusher syndrome." Phys Therapy 83, 1119--1125.

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  • (2022)Wearable Sensors for Stroke RehabilitationNeurorehabilitation Technology10.1007/978-3-031-08995-4_21(467-507)Online publication date: 16-Nov-2022
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    cover image ACM Conferences
    Assets '08: Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
    October 2008
    332 pages
    ISBN:9781595939760
    DOI:10.1145/1414471
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 13 October 2008

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    Author Tags

    1. accelerometer
    2. physiotherapy
    3. rehabilitation
    4. stroke

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    Overall Acceptance Rate 436 of 1,556 submissions, 28%

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    • (2023)Social Media Devices’ Influence on User Neck Pain during the COVID-19 Pandemic: Collaborating Vertebral-GLCM Extracted Features with a Decision TreeJournal of Imaging10.3390/jimaging90100149:1(14)Online publication date: 8-Jan-2023
    • (2022)Wearable Sensors for Stroke RehabilitationNeurorehabilitation Technology10.1007/978-3-031-08995-4_21(467-507)Online publication date: 16-Nov-2022
    • (2021)Developing and Evaluating a Mixed Sensor Smart Chair System for Real-Time Posture Classification: Combining Pressure and Distance SensorsIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2020.303009625:5(1805-1813)Online publication date: May-2021
    • (2021)Smart Assistance of Elderly Individuals in Emergency Situations at HomeInternet of Medical Things10.1007/978-3-030-63937-2_6(95-115)Online publication date: 14-Apr-2021
    • (2020)Vojta-TherapyResearch Anthology on Rehabilitation Practices and Therapy10.4018/978-1-7998-3432-8.ch020(383-398)Online publication date: 21-Aug-2020
    • (2020)Kinect Based System and Serious Game Motivating Approach for Physiotherapy Assessment and Remote Session MonitoringInternational Journal on Smart Sensing and Intelligent Systems10.21307/ijssis-2019-1317:5(1-6)Online publication date: 15-Feb-2020
    • (2019)Commercial Postural Devices: A ReviewSensors10.3390/s1923512819:23(5128)Online publication date: 23-Nov-2019
    • (2018)Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect SensorIEEE Access10.1109/ACCESS.2018.28117206(17292-17305)Online publication date: 2018
    • (2018)A computer vision-based system for monitoring Vojta therapyInternational Journal of Medical Informatics10.1016/j.ijmedinf.2018.02.010113(85-95)Online publication date: May-2018
    • (2017)Vojta-TherapyInternational Journal of Software Innovation10.4018/IJSI.20170701025:3(18-32)Online publication date: 1-Jul-2017
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