KUCM Bionics Lab.

AbstractParkinson’s disease (PD) is a neurodegenerative disorder that leads to a decline in functions that are directly related to quality of life, and it is vital to detect PD in the early stages. Currently, the diagnosis of PD relies on comprehensive assessment of medical history and clinical examination. However, it is difficult to capture short-term variations in the patient’s disability lev..

AbstractThis study aims to analyze long-term gait recovery patterns in sub-acute post-stroke hemiplegic patients by applying end-to-end deep learning (DL)-based clustering to sagittal joint-angle trajectories throughout the gait cycle. To address the data scarcity issue in long-term follow-up patient gait trajectory datasets, two time-series data augmentation methods, TimeVAE and Diffusion-TS, w..

Abstract:Despite advances in gait-assist wearable robots, application in real-world scenarios remains limited, largely due to challenges in developing an effective user intention recognition algorithm. These algorithms are crucial as they enable the robot to move harmoniously with the user by predicting their intent during various locomotion activities such as level walking, stair ascent, stair ..

Abstract:Excessive coronal or axial plane moments in lower extremity joints are commonly linked to musculoskeletal injuries. However, deliberately inducing such moments can be advantageous in personalized rehabilitation by addressing specific biomechanical needs. The tilted-plane ergometer, designed to tilt the pedaling plane and adjust pedal orientation, facilitates desired limb alignment durin..

AbstractThe purpose of this paper is to introduce an EMG-based real-time gait speed control algorithm embedded robot-assisted gait training (RAGT) system for gait rehabilitation of post-stroke hemiparetic patients and to verify its feasibility and safety. According to the previous researches, the gait speed of ongoing step is linearly proportional to the maximum value of Soleus electromyogram (E..

AbstractBackgroundParkinson’s disease (PD) is characterized by significant postural instability and gait impairments, yet many individuals with PD can continue cycling even with severe gait dysfunction. While previous research has investigated the preservation of pedaling ability, how individuals with PD regulate and adapt their balance control strategies during cycling remains largely unexplore..

AbstractRecently, wearable gait-assist robots have been evolving towards using soft materials designed for the elderly rather than individuals with disabilities, which emphasize modularization, simplification, and weight reduction. Thus, synchronizing the robotic assistive force with that of the user’s leg movements is crucial for usability, which requires accurate recognition of the user’s gait..

AbstractChronic ankle instability (CAI), due to its chronic nature and biomechanical complexity, is well-suited for continuous monitoring and tele-rehabilitation using wearable sensor technology. This study assessed whether a smart insole system, equipped with 4 force-sensing resistor sensors and an inertial measurement unit, combined with functional tests and biomechanical indices, could distin..

AbstractRehabilitation of gait function in post-stroke hemiplegic patients is critical for improving mobility and quality of life, requiring a comprehensive understanding of individual gait patterns. Previous studies on gait analysis using unsupervised clustering often involve manual feature extraction, which introduces limitations such as low accuracy, low consistency, and potential bias due to..

AbstractMuscle atrophy due to prolonged immobilization leads to severe dysfunction and progression of disease and injury. This highlights the necessity for early rehabilitation, even during the non-ambulatory stages. As manifestations vary among individuals, target-specific rehabilitation is crucial for achieving optimal outcomes. Conventional bicycle ergometers, despite their wide usage in reha..