Literature DB >> 26357402

Gait Analysis From a Single Ear-Worn Sensor: Reliability and Clinical Evaluation for Orthopaedic Patients.

Delaram Jarchi, Benny Lo, Charence Wong, Edmund Ieong, Dinesh Nathwani, Guang-Zhong Yang.   

Abstract

Objective assessment of detailed gait patterns after orthopaedic surgery is important for post-surgical follow-up and rehabilitation. The purpose of this paper is to assess the use of a single ear-worn sensor for clinical gait analysis. A reliability measure is devised for indicating the confidence level of the estimated gait events, allowing it to be used in free-walking environments and for facilitating clinical assessment of orthopaedic patients after surgery. Patient groups prior to or following anterior cruciate ligament (ACL) reconstruction and knee replacement were recruited to assess the proposed method. The ability of the sensor for detailed longitudinal analysis is demonstrated with a group of patients after lower limb reconstruction by considering parameters such as temporal and force-related gait asymmetry derived from gait events. The results suggest that the ear-worn sensor can be used for objective gait assessments of orthopaedic patients without the requirement and expense of an elaborate laboratory setup for gait analysis. It significantly simplifies the monitoring protocol and opens the possibilities for home-based remote patient assessment.

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Mesh:

Year:  2015        PMID: 26357402     DOI: 10.1109/TNSRE.2015.2477720

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  5 in total

Review 1.  Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.

Authors:  Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy
Journal:  Mhealth       Date:  2022-01-20

2.  A Compressed Sensing Based Method for Reducing the Sampling Time of A High Resolution Pressure Sensor Array System.

Authors:  Chenglu Sun; Wei Li; Wei Chen
Journal:  Sensors (Basel)       Date:  2017-08-10       Impact factor: 3.576

3.  An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors.

Authors:  Arif Reza Anwary; Hongnian Yu; Michael Vassallo
Journal:  Sensors (Basel)       Date:  2018-02-24       Impact factor: 3.576

4.  Modeling and Prediction of Wearable Energy Harvesting Sliding Shoes for Metabolic Cost and Energy Rate Outside of the Lab.

Authors:  Peter B Shull; Haisheng Xia
Journal:  Sensors (Basel)       Date:  2020-12-03       Impact factor: 3.576

5.  A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy-Which markers work best for which gait patterns?

Authors:  Yong Kuk Kim; Rosa M S Visscher; Elke Viehweger; Navrag B Singh; William R Taylor; Florian Vogl
Journal:  PLoS One       Date:  2022-10-13       Impact factor: 3.752

  5 in total

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