Trueness and Minimal Detectable Change of Smartphone Inclinometer Measurements of Shoulder Range of Motion-Reference-Cited by-同舟云学术

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Trueness and Minimal Detectable Change of Smartphone Inclinometer Measurements of Shoulder Range of Motion

Published:2017-06 Issue:6 Volume:23 Page:503-506
ISSN:1530-5627
Container-title:Telemedicine and e-Health
language:en
Short-container-title:Telemedicine and e-Health

Author:

Boissy Patrick¹²,Diop-Fallou Serigne¹²,Lebel Karina¹²,Bernier Mikael¹²,Balg Frederic¹³,Tousignant-Laflamme Yanick⁴³

Affiliation:

1. Department of Surgery, Orthopedics Division, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada.

2. Research Center on Aging, CIUSSS de l'Estrie CHUS, Sherbrooke, Quebec, Canada.

3. Research Center of the Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), CIUSSS de l'Estrie CHUS, Sherbrooke, Quebec, Canada.

4. School of Rehabilitation, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada.

Publisher

Mary Ann Liebert Inc

Subject

Health Information Management,Health Informatics,General Medicine

Link

https://www.liebertpub.com/doi/pdf/10.1089/tmj.2016.0205

Reference10 articles.

1. Mobile Phone-Based Joint Angle Measurement for Functional Assessment and Rehabilitation of Proprioception

2. Mobile Smartphone Applications for Body Position Measurement in Rehabilitation: A Review of Goniometric Tools

3. Reliability and validity of goniometric iPhone applications for the assessment of active shoulder external rotation

4. Validation of a Novel Smartphone Accelerometer-Based Knee Goniometer

5. Within-day reliability of shoulder range of motion measurement with a smartphone

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2. Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study;JMIR Formative Research;2023-03-15

3. THE EFFECTS OF A PRAGMATIC SET OF INTERVENTIONS ON THE SHOULDER RANGE OF MOTION IN MALES AND FEMALES WITH SHOULDER PAIN: A CLINICAL TRIAL;Pakistan Journal of Rehabilitation;2023-01-04

4. Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry;BMC Musculoskeletal Disorders;2022-09-21

5. Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study (Preprint);2022-07-28

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