Monitoring

Stimulation-Induced Muscle Deformation Measured with A-Mode Ultrasound Correlates with Muscle Fatigue
Stimulation-Induced Muscle Deformation Measured with A-Mode Ultrasound Correlates with Muscle Fatigue 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Muscle fatigue is a common physiological phenomenon whose onset can impair physical performance and increase the risk of injury. Traditional assessments of muscle fatigue are primarily constrained by their dependence… read more

Concurrent Validity of Wearable Nanocomposite Strain Sensor with Two-Dimensional Goniometer and its Reliability for Monitoring Knee Active Range of Motion in Multiple Participants
Concurrent Validity of Wearable Nanocomposite Strain Sensor with Two-Dimensional Goniometer and its Reliability for Monitoring Knee Active Range of Motion in Multiple Participants 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The range of motion (ROM) of joints in the human body is essential for movement and functional performance. Real-time monitoring of joint angles is crucial for confirming pathologic biomechanics, providing… read more

Visual angles and emotional valence affect temporal dynamics of neural representations of facial expression: An MEG study
Visual angles and emotional valence affect temporal dynamics of neural representations of facial expression: An MEG study 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Emotion processing has been a focus of research in Cognitive Neuroscience for decades. While the evoked neural markers as brain activations in response to different emotions have been reported, the… read more

Long-Term Gait-Balance Monitoring Artificial Intelligence System for Various Terrain Types
Long-Term Gait-Balance Monitoring Artificial Intelligence System for Various Terrain Types 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
A long-term gait-balance monitoring system for various terrain types was developed using an inertial measurement unit (IMU) and deep-learning model. The system aims to identify unstable gait caused by lower-limb… read more

Reconstructing Multi-Stroke Characters from Brain Signals toward Generalizable Handwriting Brain-Computer Interfaces
Reconstructing Multi-Stroke Characters from Brain Signals toward Generalizable Handwriting Brain-Computer Interfaces 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Handwriting Brain-Computer Interfaces (BCIs) provides a promising communication avenue for individuals with paralysis. While English-based handwriting BCIs have achieved rapid typewriting with 26 lowercase letters (mostly containing one stroke each),… read more

Wearable-Enabled Algorithms for the Estimation of Parkinson’s Symptoms Evaluated in a Continuous Home Monitoring Setting Using Inertial Sensors
Wearable-Enabled Algorithms for the Estimation of Parkinson’s Symptoms Evaluated in a Continuous Home Monitoring Setting Using Inertial Sensors 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor symptoms such as tremor and bradykinesia can develop concurrently in Parkinson’s disease; thus, the ideal home monitoring system should be capable of tracking symptoms continuously despite background noise from… read more

Recurrent Neural Network Enabled Continuous Motion Estimation of Lower Limb Joints From Incomplete sEMG Signals
Recurrent Neural Network Enabled Continuous Motion Estimation of Lower Limb Joints From Incomplete sEMG Signals 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Decoding continuous human motion from surface electromyography (sEMG) in advance is crucial for improving the intelligence of exoskeleton robots. However, incomplete sEMG signals are prevalent on account of unstable data… read more

VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel
Author(s)3: Mohammad Shahbakhti, Matin Beiramvand, Mojtaba Nazari, Anna Broniec-Wójcik, Piotr Augustyniak, Ana Santos Rodrigues, Michal Wierzchon, Vaidotas Marozas
VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Objective: Recent advances in development of low-cost single-channel electroencephalography (EEG) headbands have opened new possibilities for applications in health monitoring and brain-computer interface (BCI) systems. These recorded EEG signals, however,…

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Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring
Author(s)3: Aleš Procházka, Ondřej Dostál, Pavel Cejnar, Hagar Ibrahim Mohamed, Zbyšek Pavelek, Martin Vališ, Oldřich Vyšata
Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring 526 336 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Ataxic gait monitoring and assessment of neurological disorders belong to important multidisciplinary areas that are supported by digital signal processing methods and machine learning tools. This paper presents the possibility…

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Can Wii Balance? Evaluating a Stepping Game for Older Adults
Author(s)3: Mark Deacon, John Parsons, Sean Mathieson, T. Claire Davies
Can Wii Balance? Evaluating a Stepping Game for Older Adults 300 541 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

    Decline in balance control is an issue for older adults as it leads to an increased risk of falling which may result in serious injury. Mitigating this risk may…

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