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Tao S, Zhang H, Kong L, Sun Y, Zhao J. Validation of gait analysis using smartphones: Reliability and validity. Digit Health 2024; 10:20552076241257054. [PMID: 38817844 PMCID: PMC11138199 DOI: 10.1177/20552076241257054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 05/08/2024] [Indexed: 06/01/2024] Open
Abstract
Objective This study aims to validate the reliability and validity of gait analysis using smartphones in a controlled environment. Methods Thirty healthy adults attached smartphones to the waist and thigh, while an inertial measurement unit was fixed at the shank as a reference device; each participant was asked to walk six gait cycles at self-selected low, normal, and high speeds. Thirty-five cerebral small vessel disease patients were recruited to attach the smartphone to the thigh, performing single-task (ST), cognitive dual-task (DT1), and physical dual-task walking (DT2) to obtain gait parameters. Results The results from the healthy group indicate that, regardless of whether attached to the thigh or waist, the smartphones calculated gait parameters with good reliability (ICC2,1 > 0.75) across three different walking speeds. There were no significant differences in the gait parameters between the smartphone attached to the thigh and the IMU across all three walking speeds (P > 0.05). However, significant differences were observed between the smartphone at the waist and the IMU during the stance phase, swing phase, stance time, and stride length at high speeds (P < 0.05). At the same time, measurements of other gait parameters were similar (P > 0.05). Patients demonstrated significant differences in the cadence, stride time, stance phase, swing phase, stance time, stride length, and walking speed between ST and DT1 (P < 0.05). Significant differences were observed in the stance phase, swing phase, stride length, and walking speed between ST and DT2 (P < 0.05). Conclusions This study demonstrates the feasibility of using built-in smartphone sensors for gait analysis in a controlled environment.
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Affiliation(s)
- Shuai Tao
- College of Information Engineering, Dalian University, Dalian, Liaoning, China
| | - Hao Zhang
- College of Information Engineering, Dalian University, Dalian, Liaoning, China
| | - Liwen Kong
- College of Information Engineering, Dalian University, Dalian, Liaoning, China
| | - Yan Sun
- China United Network Communications Co Ltd, Huaian, Jiangsu, China
| | - Jie Zhao
- Affiliated Zhongshan Hospital of Dalian University, Department of Neurology, Dalian, Liaoning, China
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da Costa Moraes AA, Duarte MB, Ferreira EV, da Silva Almeida GC, da Rocha Santos EG, Pinto GHL, de Oliveira PR, Amorim CF, Cabral ADS, de Athayde Costa e Silva A, Souza GS, Callegari B. Validity and Reliability of Smartphone App for Evaluating Postural Adjustments during Step Initiation. SENSORS (BASEL, SWITZERLAND) 2022; 22:2935. [PMID: 35458920 PMCID: PMC9030467 DOI: 10.3390/s22082935] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 02/17/2022] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
The evaluation of anticipatory postural adjustments (APAs) requires high-cost and complex handling systems, only available at research laboratories. New alternative methods are being developed in this field, on the other hand, to solve this issue and allow applicability in clinic, sport and hospital environments. The objective of this study was to validate an app for mobile devices to measure the APAs during gait initiation by comparing the signals obtained from cell phones using the Momentum app with measurements made by a kinematic system. The center-of-mass accelerations of a total of 20 healthy subjects were measured by the above app, which read the inertial sensors of the smartphones, and by kinematics, with a reflective marker positioned on their lumbar spine. The subjects took a step forward after hearing a command from an experimenter. The variables of the anticipatory phase, prior to the heel-off and the step phase, were measured. In the anticipatory phase, the linear correlation of all variables measured by the two measurement techniques was significant and indicated a high correlation between the devices (APAonset: r = 0.95, p < 0.0001; APAamp: r = 0.71, p = 0.003, and PEAKtime: r = 0.95, p < 0.0001). The linear correlation between the two measurement techniques for the step phase variables measured by ques was also significant (STEPinterval: r = 0.56, p = 0.008; STEPpeak1: r = 0.79, p < 0.0001; and STEPpeak2: r = 0.64, p < 0.0001). The Bland−Altman graphs indicated agreement between instruments with similar behavior as well as subjects within confidence limits and low dispersion. Thus, using the Momentum cell phone application is valid for the assessment of APAs during gait initiation compared to the gold standard instrument (kinematics), proving to be a useful, less complex, and less costly alternative for the assessment of healthy individuals.
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Affiliation(s)
- Anderson Antunes da Costa Moraes
- Human Motricity Studies Laboratory, Av. Generalíssimo Deodoro 01, Belém 66073-000, PA, Brazil; (A.A.d.C.M.); (M.B.D.); (E.V.F.); (G.C.d.S.A.)
| | - Manuela Brito Duarte
- Human Motricity Studies Laboratory, Av. Generalíssimo Deodoro 01, Belém 66073-000, PA, Brazil; (A.A.d.C.M.); (M.B.D.); (E.V.F.); (G.C.d.S.A.)
| | - Eduardo Veloso Ferreira
- Human Motricity Studies Laboratory, Av. Generalíssimo Deodoro 01, Belém 66073-000, PA, Brazil; (A.A.d.C.M.); (M.B.D.); (E.V.F.); (G.C.d.S.A.)
| | - Gizele Cristina da Silva Almeida
- Human Motricity Studies Laboratory, Av. Generalíssimo Deodoro 01, Belém 66073-000, PA, Brazil; (A.A.d.C.M.); (M.B.D.); (E.V.F.); (G.C.d.S.A.)
| | - Enzo Gabriel da Rocha Santos
- Institute of Exact and Natural Sciences, Federal University of Pará, R. Augusto Corrêa, 01, Belém 66093-020, PA, Brazil; (E.G.d.R.S.); (G.H.L.P.)
| | - Gustavo Henrique Lima Pinto
- Institute of Exact and Natural Sciences, Federal University of Pará, R. Augusto Corrêa, 01, Belém 66093-020, PA, Brazil; (E.G.d.R.S.); (G.H.L.P.)
| | - Paulo Rui de Oliveira
- Doctoral and Master’s Program in Physical Therapy, UNICID, 448/475 Cesário Galeno St., São Paulo 03071-000, SP, Brazil; (P.R.d.O.); (C.F.A.)
| | - César Ferreira Amorim
- Doctoral and Master’s Program in Physical Therapy, UNICID, 448/475 Cesário Galeno St., São Paulo 03071-000, SP, Brazil; (P.R.d.O.); (C.F.A.)
- Département des Sciences de la Santé, Programme de Physiothérapie de L’université McGill Offert en Extension à l’UQAC, Saguenay, QC G7H 2B1,Canada
- Physical Therapy and Neuroscience Departments, Wertheims’ Colleges of Nursing and Health Sciences and Medicine, Florida International University (FIU), Miami, FL 33199, USA
| | - André dos Santos Cabral
- Center for Biological and Health Sciences, Pará State University, Tv. Perebebuí, 2623—Marco, Belém 66087-662, PA, Brazil;
| | - Anselmo de Athayde Costa e Silva
- Postgraduate Program in Movement Science, Federal University of Pará, Av. Generalíssimo Deodoro 01, Belém 66073-000, PA, Brazil;
| | - Givago Silva Souza
- Institute of Biological Sciences, Federal University of Pará, R. Augusto Corrêa 01, Belém 66075-110, PA, Brazil;
- Tropical Medicine Nucleus, Federal University of Pará, Avenida Generalíssimo Deodoro 92, Belém 66055-240, PA, Brazil
| | - Bianca Callegari
- Human Motricity Studies Laboratory, Av. Generalíssimo Deodoro 01, Belém 66073-000, PA, Brazil; (A.A.d.C.M.); (M.B.D.); (E.V.F.); (G.C.d.S.A.)
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Abou L, Peters J, Wong E, Akers R, Dossou MS, Sosnoff JJ, Rice LA. Gait and Balance Assessments using Smartphone Applications in Parkinson's Disease: A Systematic Review. J Med Syst 2021; 45:87. [PMID: 34392429 PMCID: PMC8364438 DOI: 10.1007/s10916-021-01760-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 08/04/2021] [Indexed: 01/21/2023]
Abstract
Gait dysfunctions and balance impairments are key fall risk factors and associated with reduced quality of life in individuals with Parkinson's Disease (PD). Smartphone-based assessments show potential to increase remote monitoring of the disease. This review aimed to summarize the validity, reliability, and discriminative abilities of smartphone applications to assess gait, balance, and falls in PD. Two independent reviewers screened articles systematically identified through PubMed, Web of Science, Scopus, CINAHL, and SportDiscuss. Studies that used smartphone-based gait, balance, or fall applications in PD were retrieved. The validity, reliability, and discriminative abilities of the smartphone applications were summarized and qualitatively discussed. Methodological quality appraisal of the studies was performed using the quality assessment tool for observational cohort and cross-sectional studies. Thirty-one articles were included in this review. The studies present mostly with low risk of bias. In total, 52% of the studies reported validity, 22% reported reliability, and 55% reported discriminative abilities of smartphone applications to evaluate gait, balance, and falls in PD. Those studies reported strong validity, good to excellent reliability, and good discriminative properties of smartphone applications. Only 19% of the studies formally evaluated the usability of their smartphone applications. The current evidence supports the use of smartphone to assess gait and balance, and detect freezing of gait in PD. More studies are needed to explore the use of smartphone to predict falls in this population. Further studies are also warranted to evaluate the usability of smartphone applications to improve remote monitoring in this population.Registration: PROSPERO CRD 42020198510.
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Affiliation(s)
- Libak Abou
- Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Joseph Peters
- Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Ellyce Wong
- Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Rebecca Akers
- Department of Rehabilitation Science, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Mauricette Sènan Dossou
- Centre National Hospitalier et Universitaire de Pneumo-Phtisiologie, Cotonou, Littoral, Benin
| | - Jacob J Sosnoff
- Department of Physical Therapy and Rehabilitation Science, School of Health Professions, Medical Center, University of Kansas, Kansas City, KS, USA
| | - Laura A Rice
- Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
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