Transactions on Neural Systems and Rehabilitation Engineering

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Modelling and Design of the Automatic Stance Phase Lock (ASPL) Knee Joint Control Mechanism for Paediatric Users with Transfemoral Amputations
The 2-axes Automatic Stance Phase Lock (ASPL) stance control mechanism has been demonstrated to improve adult amputees’ mobility but has yet to be developed for the paediatric population. The overall objective for this work was to characterize the ASPL control... Read more
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Simultaneous Recognition and Assessment of Post-Stroke Hemiparetic Gait by Fusing Kinematic, Kinetic, and Electrophysiological Data
        Gait analysis for the patients with lower limb motor dysfunction is a useful tool in assisting clinicians for diagnosis, assessment, and rehabilitation strategy making. Implementing accurate automatic gait analysis for the hemiparetic patients after stroke is a great challenge in... Read more
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Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review
After decades of evolution, measuring instruments for quantitative gait analysis have become an important clinical tool for assessing pathologies manifested by gait abnormalities. However, such instruments tend to be expensive and require expert operation and maintenance besides their high cost,... Read more
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Assessment of Foot Trajectory for Human Gait Phase Detection Using Wireless Ultrasonic Sensor Network
This paper presents a new highly accurate gait phase detection system using wearable wireless ultrasonic sensors, which can be used in gait analysis or rehabilitation applications. The gait phase detection system uses the foot displacement information during walking to extract... Read more
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New Methods to Monitor Stair Ascents Using a Wearable Pendant Device Reveal How Behavior, Fear, and Frailty Influence Falls in Octogenarians
We investigated whether a freely worn pendant inertial sensor, containing a triaxial accelerometer and a barometer, could be used to accurately identify stair ascent by 52 older adults in free living. Stair ascent could be identified using a decision tree,... Read more