Jarchi, Delaram and Lo, Benny and Wong, Charence and Ieong, Edmund and Nathwani, Dinesh and Yang, Guang-Zhong (2016) Gait Analysis From a Single Ear-Worn Sensor: Reliability and Clinical Evaluation for Orthopaedic Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24 (8). pp. 882-892. DOI https://doi.org/10.1109/tnsre.2015.2477720
Jarchi, Delaram and Lo, Benny and Wong, Charence and Ieong, Edmund and Nathwani, Dinesh and Yang, Guang-Zhong (2016) Gait Analysis From a Single Ear-Worn Sensor: Reliability and Clinical Evaluation for Orthopaedic Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24 (8). pp. 882-892. DOI https://doi.org/10.1109/tnsre.2015.2477720
Jarchi, Delaram and Lo, Benny and Wong, Charence and Ieong, Edmund and Nathwani, Dinesh and Yang, Guang-Zhong (2016) Gait Analysis From a Single Ear-Worn Sensor: Reliability and Clinical Evaluation for Orthopaedic Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24 (8). pp. 882-892. DOI https://doi.org/10.1109/tnsre.2015.2477720
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.
Item Type: | Article |
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Uncontrolled Keywords: | e-AR (ear-worn activity recognition) sensor; gait; rehabilitation; singular spectrum analysis (SSA) |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General) |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 11 Jun 2019 10:28 |
Last Modified: | 30 Oct 2024 16:32 |
URI: | http://repository.essex.ac.uk/id/eprint/24676 |
Available files
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