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A LabView Based Real-time Gait Monitoring and Wearable Suit for Stroke Rehabilitation.

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Title: A LabView Based Real-time Gait Monitoring and Wearable Suit for Stroke Rehabilitation.
Authors: John, Stephen1 preachdword3@yahoo.com, Alli, Kolapo S.1 kolapo.alli@uwimona.edu.jm
Source: West Indian Journal of Engineering. Jan2026, Vol. 48 Issue 2, p62-71. 10p.
Subjects: Stroke rehabilitation, LabVIEW (Computer software), Motion analysis, Data analysis, Posture, Internet of things, Measurement, Wearable technology
Abstract: This paper presents the findings of a study on real-time gait monitoring and wearable suit for post stroke rehabilitation of disabled persons. The study measured irregularities in their hips, lower back, feet, knees and ankles, non-invasively, as well as the walking speed. A prototype was developed with eight gait sensor circuits which are attached to a full body suit via suitable Velcro straps and placed at various regions of the body including the hip, lower back, feet, knees and ankles. Each circuit consists of an ESP8266 module programmed with an Arduino code. This allows the MPU6050 sensor within the circuit to measure both acceleration and angular velocity in three planes: x, y and z for each targeted region of the body and display them on waveform charts via a LabView graphical user interface. This is achieved by sending the data wirelessly from the sensor circuit to a suitable LabView VI on a computer via Transmission Control Protocol (TCP). Statistical evaluations of motion analysis on clinical trials were performed to know the effectiveness of the proposed system. The comparisons from the walking gait patterns results show that the standard deviations obtained for the angular accelerations in x, y and z planes ranged from 2.896 to 9.497 rad/s2, 1.856 to 6.6312 rad/s2 and 2.951 to 10.209 rad/s2, respectively, with the mean values ranged from 2.089 to 9.453 rad/s2, 1.519 to 7.556 rad/s2 and 1.276 to 5.938 rad/s2, respectively. The standard deviations were closed for the angular velocities in x, y and z planes ranged from 0.7231 to 1.9443 rad/s, 0.5509 to 1.527 rad/s and 0.3676 to 1.1791 rad/s with the mean values ranged from 0.2763 to 0.833 rad/s, 1.1849 to 2.6565 rad/s and 0.777 to 2.235 rad/s, respectively. The LabVIEW platform can offer diverse visualisation features for gait analysis. This study demonstrates the use of the platform to aid monitor patients with walking disabilities. [ABSTRACT FROM AUTHOR]
Copyright of West Indian Journal of Engineering is the property of University of the West Indies, Faculty of Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A LabView Based Real-time Gait Monitoring and Wearable Suit for Stroke Rehabilitation.
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  Data: <searchLink fieldCode="AR" term="%22John%2C+Stephen%22">John, Stephen</searchLink><relatesTo>1</relatesTo><i> preachdword3@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Alli%2C+Kolapo+S%2E%22">Alli, Kolapo S.</searchLink><relatesTo>1</relatesTo><i> kolapo.alli@uwimona.edu.jm</i>
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  Data: <searchLink fieldCode="JN" term="%22West+Indian+Journal+of+Engineering%22">West Indian Journal of Engineering</searchLink>. Jan2026, Vol. 48 Issue 2, p62-71. 10p.
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  Data: This paper presents the findings of a study on real-time gait monitoring and wearable suit for post stroke rehabilitation of disabled persons. The study measured irregularities in their hips, lower back, feet, knees and ankles, non-invasively, as well as the walking speed. A prototype was developed with eight gait sensor circuits which are attached to a full body suit via suitable Velcro straps and placed at various regions of the body including the hip, lower back, feet, knees and ankles. Each circuit consists of an ESP8266 module programmed with an Arduino code. This allows the MPU6050 sensor within the circuit to measure both acceleration and angular velocity in three planes: x, y and z for each targeted region of the body and display them on waveform charts via a LabView graphical user interface. This is achieved by sending the data wirelessly from the sensor circuit to a suitable LabView VI on a computer via Transmission Control Protocol (TCP). Statistical evaluations of motion analysis on clinical trials were performed to know the effectiveness of the proposed system. The comparisons from the walking gait patterns results show that the standard deviations obtained for the angular accelerations in x, y and z planes ranged from 2.896 to 9.497 rad/s2, 1.856 to 6.6312 rad/s2 and 2.951 to 10.209 rad/s2, respectively, with the mean values ranged from 2.089 to 9.453 rad/s2, 1.519 to 7.556 rad/s2 and 1.276 to 5.938 rad/s2, respectively. The standard deviations were closed for the angular velocities in x, y and z planes ranged from 0.7231 to 1.9443 rad/s, 0.5509 to 1.527 rad/s and 0.3676 to 1.1791 rad/s with the mean values ranged from 0.2763 to 0.833 rad/s, 1.1849 to 2.6565 rad/s and 0.777 to 2.235 rad/s, respectively. The LabVIEW platform can offer diverse visualisation features for gait analysis. This study demonstrates the use of the platform to aid monitor patients with walking disabilities. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of West Indian Journal of Engineering is the property of University of the West Indies, Faculty of Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.47412/VUEX2096
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 62
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      – SubjectFull: Stroke rehabilitation
        Type: general
      – SubjectFull: LabVIEW (Computer software)
        Type: general
      – SubjectFull: Motion analysis
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Posture
        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Measurement
        Type: general
      – SubjectFull: Wearable technology
        Type: general
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      – TitleFull: A LabView Based Real-time Gait Monitoring and Wearable Suit for Stroke Rehabilitation.
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            NameFull: John, Stephen
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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