Article
Engineering, Biomedical
Rui Xu, Haichao Zhang, Xianle Shi, Jun Liang, Chunxiao Wan, Dong Ming
Summary: Motor impairment after stroke is caused by damage to the neural networks controlling movement. Corticomuscular coherence (CMC) is useful for analyzing the connectivity between the cerebral cortex and muscles. However, previous studies have only focused on the upper limbs, neglecting the functional connectivity between the brain and lower limbs. In this study, CMC values were found to be significantly lower in stroke patients compared to healthy controls. CMC may serve as a new rehabilitation assessment biomarker for stroke patients.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Neurosciences
Thanh Phan, Hien Nguyen, Billy C. Vermillion, Derek G. Kamper, Sang Wook Lee
Summary: This study revealed the interaction between proximal and distal muscles of stroke survivors during functional task performance, particularly the interplay between finger extension and elbow extension/shoulder abduction. The hand movements of stroke survivors were significantly influenced by proximal kinematics, with increased cocontraction of hand muscles at specific locations.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Sa Zhou, Ziqi Guo, Kiufung Wong, Hanlin Zhu, Yanhuan Huang, Xiaoling Hu, Yong-Ping Zheng
Summary: This study revealed that stroke survivors exhibit proximal-to-distal compensation in fine motor control, with altered neural reorganization, prolonged descending conduction time, and increased ascending feedbacks in the affected limbs.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Neurosciences
Scott J. Mongold, Harri Piitulainen, Thomas Legrand, Marc Vander Ghinst, Gilles Naeije, Veikko Jousmaki, Mathieu Bourguignon
Summary: This study reveals fine-grained temporal modulations in the beta sensorimotor brain rhythm and its coupling with muscle activity, which precede changes in muscle force and predict the stability of force output.
Article
Multidisciplinary Sciences
Adriana Cancrini, Paolo Baitelli, Matteo Lavit Nicora, Matteo Malosio, Alessandra Pedrocchi, Alessandro Scano
Summary: This study investigates the effect of robot assistance on task performance and muscle synergies in healthy individuals. The results show that assistance improves task performance but has limited impact on muscle synergies.
Article
Clinical Neurology
Carine Ciceron, Dominique Sappey-Marinier, Paola Riffo, Soline Bellaiche, Gabriel Kocevar, Salem Hannoun, Claudio Stamile, Jerome Redoute, Francois Cotton, Patrice Revol, Nathalie Andre-Obadia, Jacques Luaute, Gilles Rode
Summary: This article reports a remarkable late recovery of the right upper-limb motor function after a left middle cerebral artery stroke, occurring progressively from two to 12 years post-stroke onset. The recovery was characterized by clinical assessments, quantified movement analysis, diffusion tensor imaging, functional magnetic resonance imaging, and transcranial magnetic stimulation. The findings suggest that the motor control of the paretic hand is mainly mediated by the contralateral sensorimotor cortex and the corresponding corticospinal tract, as well as plasticity in motor-related areas in both hemispheres.
FRONTIERS IN NEUROLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Zakia Hussain, Norsinnira Zainul Azlan
Summary: Upper limb movement disorders greatly limit the ability of impaired individuals to perform basic activities of daily living, such as eating. To develop a rehabilitation system that specifically assists hand movement during eating, it is essential to have a thorough understanding of hand motion and the forces/torques produced during eating. By formulating a dynamic model of the human upper limb, including wrist and elbow joints, and focusing on different degrees of freedom, researchers can accurately predict the torques involved in various eating activities. Experimental validation shows that the model's torque predictions closely match the measured torques.
APPLIED ARTIFICIAL INTELLIGENCE
(2022)
Article
Chemistry, Multidisciplinary
Marco Iosa, Alex Martino Cinnera, Fioravante Capone, Alessandro Cruciani, Matteo Paolucci, Vincenzo Di Lazzaro, Stefano Paolucci, Giovanni Morone
Summary: Robotic rehabilitation has shown potential advantages in chronic stroke patients, but the clinical significance and usability of robotic parameters are still under question. Changes in robotic parameters during therapy may not strongly correlate with overall improvement in patients, suggesting the need for caution when using these parameters as outcome measures.
APPLIED SCIENCES-BASEL
(2021)
Article
Clinical Neurology
Amina Coffey, Saroj Bista, Antonio Fasano, Teresa Buxo, Matthew Mitchell, Eileen Rose Giglia, Stefan Dukic, Matthew Fenech, Megan Barry, Andrew Wade, Mark Heverin, Muthuraman Muthuraman, Richard G. Carson, Madeleine Lowery, Orla Hardiman, Bahman Nasseroleslami
Summary: The study investigated the motor network connectivity in adult survivors of polio by analyzing the corticomuscular coherence during a pincer grip task. The results showed significant coherence in low gamma frequency bands in the frontal and parietal regions of polio survivors, suggesting a disease-related functional reorganisation of the cortical motor network, which has implications for other LMN conditions like SMA.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Engineering, Biomedical
Ziqi Guo, Sa Zhou, Kailai Ji, Yongqi Zhuang, Jie Song, Chingyi Nam, Xiaoling Hu, Yongping Zheng
Summary: The study developed a CMC-EMG-driven control method for wrist-hand rehabilitation in stroke survivors. Rehabilitation effectiveness was evaluated through clinical assessments, CMC, and EMG activation levels.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Chemistry, Analytical
Virginia Bandini, Ilaria Carpinella, Alberto Marzegan, Johanna Jonsdottir, Carlo Albino Frigo, Laura Avanzino, Elisa Pelosin, Maurizio Ferrarin, Tiziana Lencioni
Summary: Persons post-stroke often experience excessive muscle co-contraction, causing compromised arm functions in daily activities. This study aims to investigate whether the surface electromyography (sEMG)-based co-contraction index (CCI) can be a clinical tool for assessing and monitoring motor performance in stroke patients. Results showed that stroke patients exhibited higher muscle co-contraction compared to healthy subjects. After robot therapy, stroke patients showed improved motor control compared to usual care therapy. The sEMG-based CCI could be a valuable tool in clinical practice.
Review
Rehabilitation
Axelle Gelineau, Anaick Perrochon, Jean-Christophe Daviet, Stephane Mandigout
Summary: Motion-gaming technologies are effective and amusing for upper limb rehabilitation for stroke patients. Compliance with training programs is relatively high, with no group effect on compliance. Dropout and discontinued intervention rates are influenced by external causes or related to the technologies themselves. Supervision is often conducted through home visits and remote support. Long-term follow-up should be conducted in future studies to expand practices.
JOURNAL OF REHABILITATION MEDICINE
(2022)
Article
Engineering, Biomedical
Anne Schwarz, Miguel M. C. Bhagubai, Saskia H. G. Nies, Jeremia P. O. Held, Peter H. Veltink, Jaap H. Buurke, Andreas R. Luft
Summary: This study provides a comprehensive assessment of upper limb kinematics in stroke subjects, revealing differences between gesture and grasp movements and changes with impairment level. The study also identifies consistent metric expressions and relationships between different tasks and subgroups. These findings have important implications for future research and task/study comparisons.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Engineering, Biomedical
Jingyao Sun, Tianyu Jia, Zhibin Li, Chong Li, Linhong Ji
Summary: In this study, the concept of spatial-temporal CMC (STCMC) is proposed to improve the accuracy of corticomuscular coupling analysis. By combining delay compensation and spatial optimization, STCMC enhances the coherence significantly between brain and muscle signals and produces higher classification accuracy. Furthermore, STCMC provides more detailed brain topographical patterns, emphasizing the different roles between the contralateral and ipsilateral hemisphere.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Clinical Neurology
Sang Wook Lee, Hyun Joo Cho, Hae-Won Shin, Mark Hallett
Summary: The study revealed that sensory tricks can improve cortical function and reduce corticomuscular connectivity in cervical dystonia patients, ultimately alleviating the dystonic symptoms. Differences in corticocortical and corticomuscular coherence were observed between healthy subjects and different patient subgroups during the execution of sensory tricks.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Medicine, General & Internal
Ciaran McGeady, Monzurul Alam, Yong-Ping Zheng, Aleksandra Vuckovic
Summary: The study on 30 healthy volunteers showed that a single 10-minute session of cervical tSCS did not induce consistent changes in sensorimotor cortical activity overall, but high intensity tSCS may have an inhibitory effect. Further research with a larger sample size is needed to investigate the impact of session duration and tSCS intensity on cortical oscillations.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Clinical Neurology
De Yang, Timothy Tin-Yan Lee, Kelly Ka-Lee Lai, Tsz-Ping Lam, Winnie Chiu-Wing Chu, Rene Marten Castelein, Jack Chun-Yiu Cheng, Yong-Ping Zheng
Summary: The study aimed to analyze and measure scoliotic angles using a novel semi-automatic UCA method, showing excellent correlations with manual XCA and UCA methods. The results demonstrated the potential for estimating manual XCA and UCA, with further advancement needed for fully automated measurement methods.
Article
Chemistry, Analytical
Christina Zong-Hao Ma, Tian Bao, Christopher A. DiCesare, Isaac Harris, April Chambers, Peter B. Shull, Yong-Ping Zheng, Rakie Cham, Kathleen H. Sienko
Summary: The study aims to detect and train the foot-floor contact angle (FFCA) to reduce the risk of slip-induced falls. An IMU was used to estimate FFCA, and auditory feedback was provided. Results showed that training with FFCA feedback increased FFCA events within the target range.
Article
Medicine, General & Internal
Md Akhlasur Rahman, Niraj Singh Tharu, Sylvia M. Gustin, Yong-Ping Zheng, Monzurul Alam
Summary: Spinal cord injury (SCI) is a debilitating injury with severe complications, but recent development of noninvasive electrical neuromodulation treatments offers hope for rehabilitation. Trans-spinal direct current stimulation (tsDCS) and trans-spinal pulsed current stimulation (tsPCS) have shown promising results in improving sensorimotor and autonomic functions.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Chemistry, Analytical
Pei-Zhao Lyu, Ringo Tang-Long Zhu, Yan To Ling, Li-Ke Wang, Yong-Ping Zheng, Christina Zong-Hao Ma
Summary: This study investigated the internal muscle activity during walking in stroke survivors using a novel wearable ultrasound imaging and sensing system. The results revealed significant differences in muscle activity between the paretic and non-paretic sides, providing a better understanding of gait abnormalities in stroke patients.
Article
Multidisciplinary Sciences
Elaine Kwong, Phoebe Tsz-Ching Shek, Man-Tak Leung, Yong-Ping Zheng, Wilson Yiu Shun Lam
Summary: This study used ultrasound imaging to examine tongue base retraction and hyolaryngeal excursion during swallowing, and investigated the variability of swallowing timing sequences and the effect of bolus type on the variability in non-dysphagic individuals. The results showed that there is individual variability in the timing sequences, with only two sequences being obligatory. The findings of this study provide foundations for future studies on swallowing using ultrasound imaging and the clinical application of ultrasonography.
Article
Surgery
Maria Victorova, Heidi Hin Ting Lau, Timothy Tin-Yan Lee, David Navarro-Alarcon, Yongping Zheng
Summary: This study demonstrates that scoliosis deformity angles measured on ultrasound images obtained with robotic scanning are comparable to those obtained by manual scanning, indicating the potential of robotic scanning method in scoliosis assessment.
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
(2023)
Article
Acoustics
Mandy Yuen-Man Chan, Yan To Ling, Xiang-Yan Chen, Suk-Tak Chan, Kenneth K. Kwong, Yong-Ping Zheng
Summary: This study measured the success rates of transcranial Doppler (TCD) scanning at different temporal windows in the elderly population. The results showed that the scanning success rates were influenced by gender, age, and physical attributes of the head. Male participants had higher success rates at all three window locations, while younger age and smaller tragus-to-tragus arc length were associated with higher success rates at specific locations. Based on the findings, the authors recommended using the middle temporal window (MTW) as the first location for TCD scanning in the elderly and suggested choosing the MTW and posterior temporal window (PTW) when scanning two temporal windows.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Niraj Singh Tharu, Monzurul Alam, Yan To Ling, Arnold Y. L. Wong, Yong-Ping Zheng
Summary: The aim of this study was to examine the effects of transcutaneous electrical spinal cord stimulation and conventional task-specific rehabilitation on trunk control and sitting stability in people with chronic tetraplegia secondary to a spinal cord injury. The results showed that the combination of stimulation and rehabilitation significantly improved the participants' reach distance and trunk control. The intervention also led to long-term sustainable recovery in independent trunk control and sitting balance.
Review
Chemistry, Analytical
Vaheh Nazari, Yong-Ping Zheng
Summary: This paper presents a critical review and comparison of recently published studies on human-machine interface and the use of sonomyography (SMG) for upper limb prosthesis control. The results show that ultrasound sensing can be used as a viable human-machine interface and various ultrasound modes, machine learning algorithms, and feature extraction methods can enhance the accuracy of controlling bionic hands.
Article
Medicine, General & Internal
Niraj Singh Tharu, Timothy Tin-Yan Lee, Kelly Ka-Lee Lai, Ting-Er Lau, Chui-Yi Chan, Yong-Ping Zheng
Summary: The aim of this study was to compare the sagittal spinal alignment between individuals with chronic SCI and normal subjects, and to determine the effects of TSCS on thoracic kyphosis and lumbar lordosis to restore normal spinal alignment. A case series study was conducted, involving 12 individuals with SCI and 10 neurologically intact subjects. The results showed that individuals with SCI had a higher risk of spinal deformity, but TSCS treatment was able to reverse this by reducing the thoracic kyphosis.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Neurosciences
Ruixue Wang, Yuchen Xu, Yiwei Zhang, Xiaoling Hu, Yue Li, Shaomin Zhang
Summary: Accurate spike sorting is crucial for neural activity analysis. In this study, we proposed a fast and effective spike sorting method (MultiFq) based on multi-frequency composite waveform shapes acquired through an optimized filtering process. The proposed method significantly improved sorting performance and demonstrated compatibility with other sorting algorithms.
Article
Computer Science, Artificial Intelligence
Ye-Jiao Mao, Andy Yiu-Chau Tam, Queenie Tsung-Kwan Shea, Yong-Ping Zheng, James Chung-Wai Cheung
Summary: Falls in hospitals are a major problem, but physical and chemical restraints may be unethical and harmful. Therefore, a non-contract restraint-free tracking system is needed to identify and notify fall risks, with high sensitivity and robustness.
Article
Biotechnology & Applied Microbiology
Wanyi Qing, Ching-Yi Nam, Harvey Man-Hok Shum, Marko Ka-Leung Chan, King-Pong Yu, Serena Sin-Wah Ng, Bibo Yang, Xiaoling Hu
Summary: This study investigated the feasibility and effectiveness of using a mobile wrist/hand rehabilitation robot for poststroke telerehabilitation. Both the clinic group and lab group showed significant improvements in motor functions after training, with the lab group demonstrating better results. The study concluded that the tele-program using the rehabilitation robot was feasible and effective when integrated into routine practice.
BIOENGINEERING-BASEL
(2023)
Article
Medicine, General & Internal
Monzurul Alam, Yan To Ling, Md Akhlasur Rahman, Arnold Yu Lok Wong, Hui Zhong, V. Reggie Edgerton, Yong-Ping Zheng
Summary: Recent research has shown that transcutaneous electrical stimulation can restore walking function and sensory-motor abilities in individuals with spinal cord injuries. A study conducted over 66 weeks of rehabilitation training found significant improvements in lower-limb volitional movements and overall light touch sensation.
JOURNAL OF CLINICAL MEDICINE
(2023)