Publications by authors named "Shengquan Xie"

Various hand rehabilitation systems have recently been developed for stroke patients, particularly commercial devices. Articles from 10 electronic databases from 2010 to 2022 were extracted to conduct a systematic review to explore the existing commercial training systems (hardware and software) and evaluate their clinical effectiveness. This review divided the rehabilitation equipment into contact and non-contact types.

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Acute myocardial infarction (AMI) is a common cause of death in numerous countries. Understanding the molecular mechanisms of the disease and analyzing potential biomarkers of AMI is crucial. However, specific diagnostic biomarkers have thus far not been fully established and candidate regulatory targets for AMI remain to be determined.

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Article Synopsis
  • Convolutional neural networks (CNNs) are being used to decode human intentions from surface Electromyography (sEMG) signals, but they struggle to adapt to new individuals due to differences in data.
  • A novel supervised domain adaptation (SDA) method is proposed to reduce these domain shift effects by using a two-stream CNN that processes both source and target sEMG data simultaneously.
  • This new approach outperforms traditional fine-tuning methods in wrist kinematics estimation, maintaining better performance across different subjects without losing effectiveness in the original training data.
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EMG-based continuous wrist joint motion estimation has been identified as a promising technique with huge potential in assistive robots. Conventional data-driven model-free methods tend to establish the relationship between the EMG signal and wrist motion using machine learning or deep learning techniques, but cannot interpret the functional relationship between neuro-commands and relevant joint motion. In this paper, an EMG-driven musculoskeletal model is proposed to estimate continuous wrist joint motion.

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Robot-assisted bilateral training is being developed as a new rehabilitation approach for stroke patients. However, there is still a lack of understanding of muscle functions when performing robot-assisted synchronous movements. The aim of this work is to explore the muscle activation patterns and the voluntary effort of participants during different robot-assisted bilateral training protocols.

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Article Synopsis
  • The study focuses on enhancing the detection of steady-state visual evoked potentials (SSVEP) in EEG signals for brain-computer interface (BCI) applications, highlighting the challenges posed by noise and artifacts in the data.
  • An improved method called MEMD-CCA, which combines multivariate empirical mode decomposition and canonical correlation analysis, was tested on EEG signals from nine healthy volunteers.
  • The findings showed that MEMD-CCA significantly outperformed traditional methods like CCA and TMSI, leading to increased accuracy in SSVEP recognition and demonstrating its potential for better BCI performance.
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Robot-assisted bilateral upper-limb training grows abundantly for stroke rehabilitation in recent years and an increasing number of devices and robots have been developed. This paper aims to provide a systematic overview and evaluation of existing bilateral upper-limb rehabilitation devices and robots based on their mechanisms and clinical-outcomes. Most of the articles studied here were searched from nine online databases and the China National Knowledge Infrastructure (CNKI) from year 1993 to 2015.

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A patient-specific electromyography (EMG)-driven neuromuscular model (PENm) is developed for the potential use of human-inspired gait rehabilitation robots. The PENm is modified based on the current EMG-driven models by decreasing the calculation time and ensuring good prediction accuracy. To ensure the calculation efficiency, the PENm is simplified into two EMG channels around one joint with minimal physiological parameters.

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The objective of this study was to investigate the effect of using spring-loaded crutches on mechanical efficiency in comparison to the use of standard crutches. Seven healthy male participants were recruited for this experiment. They were instructed to walk around a track on two types of crutches for five minutes under four controlled conditions.

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We evaluated an innovative spring-loaded crutch design by comparing its performance with standard crutches through a biomechanical approach. Gait analysis was conducted for 7 male subjects under two conditions: walking with standard crutches and with spring-loaded crutches. Three-dimensional kinematic data and ground reaction force were recorded.

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