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Neumann S, Bauer CM, Nastasi L, Läderach J, Thürlimann E, Schwarz A, Held JPO, Easthope CA. Accuracy, concurrent validity, and test-retest reliability of pressure-based insoles for gait measurement in chronic stroke patients. Front Digit Health 2024; 6:1359771. [PMID: 38633383 PMCID: PMC11021704 DOI: 10.3389/fdgth.2024.1359771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/11/2024] [Indexed: 04/19/2024] Open
Abstract
Introduction Wearables are potentially valuable tools for understanding mobility behavior in individuals with neurological disorders and how it changes depending on health status, such as after rehabilitation. However, the accurate detection of gait events, which are crucial for the evaluation of gait performance and quality, is challenging due to highly individual-specific patterns that also vary greatly in movement and speed, especially after stroke. Therefore, the purpose of this study was to assess the accuracy, concurrent validity, and test-retest reliability of a commercially available insole system in the detection of gait events and the calculation of stance duration in individuals with chronic stroke. Methods Pressure insole data were collected from 17 individuals with chronic stroke during two measurement blocks, each comprising three 10-min walking tests conducted in a clinical setting. The gait assessments were recorded with a video camera that served as a ground truth, and pressure insoles as an experimental system. We compared the number of gait events and stance durations between systems. Results and discussion Over all 3,820 gait events, 90.86% were correctly identified by the insole system. Recall values ranged from 0.994 to 1, with a precision of 1 for all measurements. The F1 score ranged from 0.997 to 1. Excellent absolute agreement (Intraclass correlation coefficient, ICC = 0.874) was observed for the calculation of the stance duration, with a slightly longer stance duration recorded by the insole system (difference of -0.01 s). Bland-Altmann analysis indicated limits of agreement of 0.33 s that were robust to changes in walking speed. This consistency makes the system well-suited for individuals post-stroke. The test-retest reliability between measurement timepoints T1 and T2 was excellent (ICC = 0.928). The mean difference in stance duration between T1 and T2 was 0.03 s. We conclude that the insole system is valid for use in a clinical setting to quantitatively assess continuous walking in individuals with stroke.
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Affiliation(s)
- Saskia Neumann
- DART, Lake Lucerne Institute, Vitznau, Switzerland
- Cereneo Foundation, Vitznau, Switzerland
| | | | - Luca Nastasi
- DART, Lake Lucerne Institute, Vitznau, Switzerland
- Cereneo Foundation, Vitznau, Switzerland
| | | | - Eva Thürlimann
- Vascular Neurology and Neurorehabilitation, University of Zurich, Zurich, Switzerland
| | - Anne Schwarz
- Vascular Neurology and Neurorehabilitation, University of Zurich, Zurich, Switzerland
| | - Jeremia P. O. Held
- Vascular Neurology and Neurorehabilitation, University of Zurich, Zurich, Switzerland
| | - Chris A. Easthope
- DART, Lake Lucerne Institute, Vitznau, Switzerland
- Cereneo Foundation, Vitznau, Switzerland
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Schwarz A, Al-Haj Husain A, Einaudi L, Thürlimann E, Läderach J, Awai Easthope C, Held JPO, Luft AR. Reliability and Validity of a Wearable Sensing System and Online Gait Analysis Report in Persons after Stroke. SENSORS (BASEL, SWITZERLAND) 2023; 23:624. [PMID: 36679424 PMCID: PMC9862973 DOI: 10.3390/s23020624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 12/29/2022] [Accepted: 01/03/2023] [Indexed: 06/17/2023]
Abstract
The restoration of gait and mobility after stroke is an important and challenging therapy goal due to the complexity of the potentially impaired functions. As a result, precise and clinically feasible assessment methods are required for personalized gait rehabilitation after stroke. The aim of this study is to investigate the reliability and validity of a sensor-based gait analysis system in stroke survivors with different severities of gait deficits. For this purpose, 28 chronic stroke survivors (9 women, ages: 62.04 ± 11.68 years) with mild to moderate walking impairments performed a set of ambulatory assessments (3× 10MWT, 1× 6MWT per session) twice while being equipped with a sensor suit. The derived gait reports provided information about speed, step length, step width, swing and stance phases, as well as joint angles of the hip, knee, and ankle, which we analyzed for test-retest reliability and hypothesis testing. Further, test-retest reliability resulted in a mean ICC of 0.78 (range: 0.46-0.88) for walking 10 m and a mean ICC of 0.90 (range: 0.63-0.99) for walking 6 min. Additionally, all gait parameters showed moderate-to-strong correlations with clinical scales reflecting lower limb function. These results support the applicability of this sensor-based gait analysis system for individuals with stroke-related walking impairments.
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Affiliation(s)
- Anne Schwarz
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich, 8091 Zurich, Switzerland
| | - Adib Al-Haj Husain
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich, 8091 Zurich, Switzerland
| | - Lorenzo Einaudi
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich, 8091 Zurich, Switzerland
| | - Eva Thürlimann
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich, 8091 Zurich, Switzerland
| | - Julia Läderach
- Cereneo Foundation, Center for Interdisciplinary Research (CEFIR), 6354 Vitznau, Switzerland
| | - Chris Awai Easthope
- Cereneo Foundation, Center for Interdisciplinary Research (CEFIR), 6354 Vitznau, Switzerland
| | - Jeremia P. O. Held
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich, 8091 Zurich, Switzerland
- Rehabilitation Center Triemli Zurich, Valens Clinics, 8063 Zurich, Switzerland
| | - Andreas R. Luft
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich, 8091 Zurich, Switzerland
- Cereneo, Center for Neurology and Rehabilitation, 6354 Vitznau, Switzerland
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Vayalapra S, Wang X, Qureshi A, Vepa A, Rahman U, Palit A, Williams MA, King R, Elliott MT. Repeatability of Inertial Measurement Units for Measuring Pelvic Mobility in Patients Undergoing Total Hip Arthroplasty. SENSORS (BASEL, SWITZERLAND) 2022; 23:s23010377. [PMID: 36616975 PMCID: PMC9823306 DOI: 10.3390/s23010377] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/16/2022] [Accepted: 12/22/2022] [Indexed: 06/12/2023]
Abstract
Consideration of pelvic mobility when positioning implants for total hip arthroplasty (THA) has been shown to reduce the risk of complications such as dislocation, squeaking and excessive wear. We aim to test the repeatability of pelvic tilt measurements taken between three positions (standing, flexed-seated and step-up) by an inertial measurement unit (IMU) and hence, evaluate their reliability in screening for high pelvic mobility in patients undergoing THA. The repeated IMU measurements of pelvic tilt were analysed for consistency and compared with measures taken by x-ray analysis. Our study showed greater variation in measures taken by the IMU particularly in the flexed-seated position. The patient's pelvic tilt in this position negatively correlated with their mid-back angle, suggesting the posture of the patient is a source of variation in the flexed-seated position if not kept consistent during assessments. IMUs were overall able to produce accurate and reliable measurements of pelvic tilt; however, protocols will need to be adjusted to factor in a patient's mid-back angle when taking future readings.
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Affiliation(s)
- Sushanth Vayalapra
- Department of Trauma and Orthopaedics, University Hospitals Coventry & Warwickshire NHS Trust, Coventry CV2 2DX, UK
| | - Xueyang Wang
- WMG, University of Warwick, Coventry CV4 7AL, UK
| | - Arham Qureshi
- Department of Trauma and Orthopaedics, University Hospitals Coventry & Warwickshire NHS Trust, Coventry CV2 2DX, UK
| | - Abhinav Vepa
- Department of Trauma and Orthopaedics, University Hospitals Coventry & Warwickshire NHS Trust, Coventry CV2 2DX, UK
| | - Usama Rahman
- Department of Trauma and Orthopaedics, University Hospitals Coventry & Warwickshire NHS Trust, Coventry CV2 2DX, UK
| | - Arnab Palit
- WMG, University of Warwick, Coventry CV4 7AL, UK
| | | | - Richard King
- Department of Trauma and Orthopaedics, University Hospitals Coventry & Warwickshire NHS Trust, Coventry CV2 2DX, UK
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Riazati S, McGuirk TE, Perry ES, Sihanath WB, Patten C. Absolute Reliability of Gait Parameters Acquired With Markerless Motion Capture in Living Domains. Front Hum Neurosci 2022; 16:867474. [PMID: 35782037 PMCID: PMC9245068 DOI: 10.3389/fnhum.2022.867474] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/27/2022] [Indexed: 12/17/2022] Open
Abstract
Purpose: To examine the between-day absolute reliability of gait parameters acquired with Theia3D markerless motion capture for use in biomechanical and clinical settings. Methods: Twenty-one (7 M,14 F) participants aged between 18 and 73 years were recruited in community locations to perform two walking tasks: self-selected and fastest-comfortable walking speed. Participants walked along a designated walkway on two separate days.Joint angle kinematics for the hip, knee, and ankle, for all planes of motion, and spatiotemporal parameters were extracted to determine absolute reliability between-days. For kinematics, absolute reliability was examined using: full curve analysis [root mean square difference (RMSD)] and discrete point analysis at defined gait events using standard error of measurement (SEM). The absolute reliability of spatiotemporal parameters was also examined using SEM and SEM%. Results: Markerless motion capture produced low measurement error for kinematic full curve analysis with RMSDs ranging between 0.96° and 3.71° across all joints and planes for both walking tasks. Similarly, discrete point analysis within the gait cycle produced SEM values ranging between 0.91° and 3.25° for both sagittal and frontal plane angles of the hip, knee, and ankle. The highest measurement errors were observed in the transverse plane, with SEM >5° for ankle and knee range of motion. For the majority of spatiotemporal parameters, markerless motion capture produced low SEM values and SEM% below 10%. Conclusion: Markerless motion capture using Theia3D offers reliable gait analysis suitable for biomechanical and clinical use.
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Affiliation(s)
- Sherveen Riazati
- Biomechanics, Rehabilitation, and Integrative Neuroscience Lab, Department of Physical Medicine and Rehabilitation, School of Medicine, University of California, Davis, Sacramento, CA, United States
- UC Davis Healthy Aging in a Digital World Initiative, a UC Davis “Big Idea”, Sacramento, CA, United States
| | - Theresa E. McGuirk
- Biomechanics, Rehabilitation, and Integrative Neuroscience Lab, Department of Physical Medicine and Rehabilitation, School of Medicine, University of California, Davis, Sacramento, CA, United States
- UC Davis Healthy Aging in a Digital World Initiative, a UC Davis “Big Idea”, Sacramento, CA, United States
- Center for Neuroengineering and Medicine, University of California, Davis, Davis, CA, United States
- VA Northern California Health Care System, Martinez, CA, United States
| | - Elliott S. Perry
- Biomechanics, Rehabilitation, and Integrative Neuroscience Lab, Department of Physical Medicine and Rehabilitation, School of Medicine, University of California, Davis, Sacramento, CA, United States
- UC Davis Healthy Aging in a Digital World Initiative, a UC Davis “Big Idea”, Sacramento, CA, United States
- VA Northern California Health Care System, Martinez, CA, United States
| | - Wandasun B. Sihanath
- Biomechanics, Rehabilitation, and Integrative Neuroscience Lab, Department of Physical Medicine and Rehabilitation, School of Medicine, University of California, Davis, Sacramento, CA, United States
- UC Davis Healthy Aging in a Digital World Initiative, a UC Davis “Big Idea”, Sacramento, CA, United States
- Center for Neuroengineering and Medicine, University of California, Davis, Davis, CA, United States
| | - Carolynn Patten
- Biomechanics, Rehabilitation, and Integrative Neuroscience Lab, Department of Physical Medicine and Rehabilitation, School of Medicine, University of California, Davis, Sacramento, CA, United States
- UC Davis Healthy Aging in a Digital World Initiative, a UC Davis “Big Idea”, Sacramento, CA, United States
- Center for Neuroengineering and Medicine, University of California, Davis, Davis, CA, United States
- VA Northern California Health Care System, Martinez, CA, United States
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