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Ro-Bin Lee, Young Seung Lee, Hyosun Kweon, Hyun Kyung Kim and Yoon Sang Kim
In this paper, we propose an interactive mobile gait training system that allows trainees to interact actively with its content (the gait training content). The proposed system is a new type of gait training one combining a mobile robot with virtual real...
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João Monge, Gonçalo Ribeiro, António Raimundo, Octavian Postolache and Joel Santos
Health monitoring is crucial in hospitals and rehabilitation centers. Challenges can affect the reliability and accuracy of health data. Human error, patient compliance concerns, time, money, technology, and environmental factors might cause these issues...
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Barbara J. Hoogenboom, Christopher J. May, Gordon J. Alderink, Brian S. Thompson and Lukas A. Gilmore
The squat, a fundamental functional movement, is prone to biomechanical inefficiencies. Several screening batteries utilize the Overhead Deep Squat (OHDS) to assess individuals for stability and mobility deficits. The purpose of this study was to create ...
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Muhammad Tallal Saeed, Jahan Zeb Gul, Zareena Kausar, Asif Mahmood Mughal, Zia Mohy Ud Din and Shiyin Qin
Precise and accurate lower limb rehabilitation in the form of locomotion assistance and gait training through robust control of robotic exoskeletons.
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Fu-Cheng Wang, Szu-Fu Chen, You-Chi Li, Chih-Jen Shih, Ang-Chieh Lin and Tzu-Tung Lin
This paper investigates the effectiveness of using an automatic NDT trainer for the clinical rehabilitation of stroke patients.
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Reza Soleimani and Edgar Lobaton
Physiological and kinematic signals from humans are often used for monitoring health. Several processes of interest (e.g., cardiac and respiratory processes, and locomotion) demonstrate periodicity. Training models for inference on these signals (e.g., d...
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Shadi Eltanani, Tjeerd V. olde Scheper and Helen Dawes
The application of machine learning (ML) has made an unprecedented change in the field of medicine, showing a significant potential to automate tasks and to achieve objectives that are closer to human cognitive capabilities. Human gait, in particular, is...
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Ibsa K. Jalata, Thanh-Dat Truong, Jessica L. Allen, Han-Seok Seo and Khoa Luu
Using optical motion capture and wearable sensors is a common way to analyze impaired movement in individuals with neurological and musculoskeletal disorders. However, using optical motion sensors and wearable sensors is expensive and often requires high...
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Shin Jun Park and Seunghue Oh
Introduction: Trunk control disability commonly occurs after stroke. This study investigated the effect of diagonal pattern training in the sitting position to improve trunk control ability and gait performance. Method: 46 stroke patients were enrolled i...
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Van-Thuc Tran, Kota Sasaki and Shin-ichiroh Yamamoto
In recent years, the Body Weight Support system has been considered to be an indispensable component in gait training systems, which be used to improve the ability to walk of hemiplegic, stroke, and spinal cord injury patients. Previous studies investiga...
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