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H. Dejnabadi

Bio: H. Dejnabadi is an academic researcher from École Polytechnique. The author has contributed to research in topics: Gyroscope & Gait analysis. The author has an hindex of 2, co-authored 2 publications receiving 347 citations.

Papers
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Journal ArticleDOI
TL;DR: A new method of measuring joint angle using a combination of accelerometers and gyroscopes is presented, which is able to provide joint angles in real-time, and ready for use in gait analysis.
Abstract: A new method of measuring joint angle using a combination of accelerometers and gyroscopes is presented. The method proposes a minimal sensor configuration with one sensor module mounted on each segment. The model is based on estimating the acceleration of the joint center of rotation by placing a pair of virtual sensors on the adjacent segments at the center of rotation. In the proposed technique, joint angles are found without the need for integration, so absolute angles can be obtained which are free from any source of drift. The model considers anatomical aspects and is personalized for each subject prior to each measurement. The method was validated by measuring knee flexion-extension angles of eight subjects, walking at three different speeds, and comparing the results with a reference motion measurement system. The results are very close to those of the reference system presenting very small errors (rms=1.3, mean=0.2, SD=1.1 deg) and excellent correlation coefficients (0.997). The algorithm is able to provide joint angles in real-time, and ready for use in gait analysis. Technically, the system is portable, easily mountable, and can be used for long term monitoring without hindrance to natural activities.

282 citations

Journal ArticleDOI
TL;DR: The WOMAC questionnaire might not reflect walking performance and the addition of gait analysis is recommended to gain objective information about the quality ofGait.
Abstract: Objective: To investigate the correlation between objective and subjective evaluation of patients with total hip replacement.Design: Prospective preliminary trial comparing the Western Ontario and McMaster University questionnaire (WOMAC) and gait analysis preoperatively and three months postoperatively.Setting: A German academic orthopaedic centre specializing in total hip replacement surgery.Subjects: Seventeen patients (median age 70 years) with hip osteoarthritis.Intervention: All patients had had a primary unilateral total hip replacement.Main measures: WOMAC questionnaire to assess self-perceived health status and gait analysis to determine objective gait parameters.Results: Performance of walking as well as subjective judgement of health status improved following surgery (gait speed P = 0.0222; stride length P = 0.038; stance phase ratio P = 0.0466; WOMAC P < 0.0001). However, the correlation between gait parameters and WOMAC was poor (r = -0.27 or less). Correlation between changes of walking para...

91 citations


Cited by
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Journal ArticleDOI
TL;DR: Clinical applications of wearable sensing and feedback for human gait are assessed and substantial potential clinical benefits are demonstrated, highlighting the current state of the literature and demonstrating substantial potentialclinical benefits.

347 citations

Journal ArticleDOI
TL;DR: Various sensors and sensor combinations capable of analyzing gait in ambulatory settings are found, ranging form simple force based binary switches to complex setups involving multiple inertial sensors and advanced algorithms.

335 citations

Journal ArticleDOI
TL;DR: This paper will give a systematic review on advanced IoT enabled PHS, and key enabling technologies, major IoT enabled applications and successful case studies in healthcare, and finally point out future research trends and challenges.

301 citations

Journal ArticleDOI
TL;DR: In this paper, a study on development of a wearable sensor system for quantitative gait analysis using inertial sensors of gyroscopes and accelerometers is presented, which is designed to detect gait phases including initial contact, loading response, mid stance, terminal stance, pre swing, initial swing, mid swing and terminal swing.

263 citations

Journal ArticleDOI
16 Dec 2010-Sensors
TL;DR: The literature related to usage of inertial sensors in human lower limb biomechanics studies, the type of sensor involved, data collection methods, study design, validation methods and its applications were reviewed.
Abstract: Wearable motion sensors consisting of accelerometers, gyroscopes and magnetic sensors are readily available nowadays. The small size and low production costs of motion sensors make them a very good tool for human motions analysis. However, data processing and accuracy of the collected data are important issues for research purposes. In this paper, we aim to review the literature related to usage of inertial sensors in human lower limb biomechanics studies. A systematic search was done in the following search engines: ISI Web of Knowledge, Medline, SportDiscus and IEEE Xplore. Thirty nine full papers and conference abstracts with related topics were included in this review. The type of sensor involved, data collection methods, study design, validation methods and its applications were reviewed.

247 citations