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Objective: Muscle contractions are commonly detected by performing EMG measurements. The major disadvantage of this technique is that mechanical disturbances to the electrodes are in the same frequency and magnitude range as the desired…

Medical Physics · Physics 2019-08-28 Roman Kusche , Martin Ryschka

Loss of voluntary foot movement after spinal cord injury (SCI) can significantly limit independent mobility and quality of life. To improve motor output after injury, functional electrical stimulation (FES) is used to deliver stimulation…

Human-Computer Interaction · Computer Science 2026-04-10 Vlad Cnejevici , Matthias Ponfick , Dietmar Fey , Raul C. Sîmpetru , Alessandro Del Vecchio

Spinal cord injury (SCI) is a debilitating condition that often results in significant motor and sensory deficits, impacting the quality of life. Current rehabilitation methods, including physical therapy and electrical stimulation, offer…

Neurons and Cognition · Quantitative Biology 2024-12-18 Ruidong Cheng , Yuling Shao , Xi Li , Li Zhang , Zehao Sheng , Chenyang Li , Xu Xie , Huilin Mou , Weidong Chen , Shaomin Zhang , Yuchen Xu , Minmin Wang

Surface electromyography (EMG) is a promising modality for silent speech interfaces, but its effectiveness depends heavily on sensor placement and channel availability. In this work, we investigate the contribution of individual and…

Sound · Computer Science 2026-02-09 Injune Hwang , Jaejun Lee , Kyogu Lee

Brain-computer interfaces (BCIs) have shown promising results in restoring motor function to individuals with spinal cord injury. These systems have traditionally focused on the restoration of upper extremity function; however, the lower…

Neurons and Cognition · Quantitative Biology 2021-04-16 Po T. Wang , Colin M. McCrimmon , Susan J. Shaw , Hui Gong , Luis A. Chui , Payam Heydari , Charles Y. Liu , An H. Do , Zoran Nenadic

Based on recent health statistics, there are several thousands of people with limb disability and gait disorders that require a medical assistance. A robot assisted rehabilitation therapy can help them recover and return to a normal life.…

Signal Processing · Electrical Eng. & Systems 2023-01-04 Anish C. Turlapaty , Balakrishna Gokaraju

Electromyography (EMG) signals are obtained from muscle cell activity. The recording and analysis of EMG signals has several applications. The EMG is of diagnostic importance for treating patients suffering from neurological and…

Systems and Control · Electrical Eng. & Systems 2025-09-18 Vinay C K , Vikas Vazhayil , Madhav rao

EMG is an established method to acquire the action potentials of contracted muscles. Although commercial EMG systems are available and it is one of the most researched biosignals, it has never become widely used in rehabilitation or fitness…

Medical Physics · Physics 2021-12-15 Roman Kusche , Jan Grasshoff , Andra Oltmann , Lukas Boudnik , Philipp Rostalski

Surface electromyography (sEMG) is a technology to assess muscle activation, which is an important component in applications related to diagnosis, treatment, progression assessment, and rehabilitation of specific individuals' conditions.…

Background: Spinal cord injury (SCI) rehabilitation remains a major clinical challenge, with limited treatment options for functional recovery. Temporal interference (TI) electrical stimulation has emerged as a promising non-invasive…

Medical Physics · Physics 2025-03-07 Xu Xie , Yuchen Xu , Huilin Mou , Xi Li , Li Zhang , Zehao Sheng , Weidong Chen , Shaomin Zhang , Ruidong Cheng , Minmin Wang

Stroke patients have symptoms of cerebral functional disturbance that could aggressively impair patient's physical mobility, such as freezing of hand movements. Although rehabilitation training from external devices is beneficial for hand…

Signal Processing · Electrical Eng. & Systems 2020-06-30 Xiaotong Gu , Zehong Cao

Classification of electroencephalogram (EEG) and electrocorticogram (ECoG) signals obtained during motor imagery (MI) has substantial application potential, including for communication assistance and rehabilitation support for patients with…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Shuntaro Suzuki , Shunya Nagashima , Masayuki Hirata , Komei Sugiura

Wearable robotic hand rehabilitation devices can allow greater freedom and flexibility than their workstation-like counterparts. However, the field is generally lacking effective methods by which the user can operate the device: such…

Robotics · Computer Science 2019-01-14 Sangwoo Park , Cassie Meeker , Lynne M. Weber , Lauri Bishop , Joel Stein , Matei Ciocarlie

Upper limb movement classification, which maps input signals to the target activities, is a key building block in the control of rehabilitative robotics. Classifiers are trained for the rehabilitative system to comprehend the desires of the…

Machine Learning · Computer Science 2023-03-10 Zihao Wang , Ravi Suppiah

In this work the multifractal analysis of the kinesiological surface electromyographic signal is proposed. The goal was to investigate the level of neuromuscular activation during complex movements on the laparoscopic trainer. The basic…

Data Analysis, Statistics and Probability · Physics 2017-09-27 Paulina Trybek , Michal Nowakowski , Lukasz Machura

Event-related desynchronization and synchronization (ERD/S) and movement-related cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower limb rehabilitation, particularly in standing and sitting.…

Mobile manipulators in the home can enable people with cervical spinal cord injury (cSCI) to perform daily physical household tasks that they could not otherwise do themselves. However, paralysis in these users often limits access to…

Robotics · Computer Science 2026-02-04 Jehan Yang , Eleanor Hodgson , Cindy Sun , Zackory Erickson , Doug Weber

Reliance on wheelchairs after spinal cord injury (SCI) leads to many medical co-morbidities. Treatment of these conditions contributes to the majority of SCI health care costs. Restoring able-body-like ambulation after SCI may reduce the…

Human-Computer Interaction · Computer Science 2015-03-13 An H. Do , Po T. Wang , Christine E. King , Sophia N. Chun , Zoran Nenadic

This work presents the design and implementation of a wireless, wearable system that combines surface electromyography (sEMG) and inertial measurement units (IMUs) to analyze a single lower-limb functional task: the free bodyweight squat in…

Surface electromyography (s-EMG) sensors are a promising way to control upper-limb prostheses. However a training session is necessary in order to set up the controller that will make s-EMG based movement possible. All data recorded during…

Other Quantitative Biology · Quantitative Biology 2015-11-25 Marco Lampacrescia
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