4.6 Article

Prediction of Myoelectric Biomarkers in Post-Stroke Gait

Related references

Note: Only part of the references are listed.
Article Chemistry, Analytical

Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device

Iqram Hussain et al.

Summary: Physiological signals are sensitive to brain stimulation and can be used to evaluate cognitive performance. The study found that active microwave brain stimulation led to changes in EEG signals and significant associations with heart rate indices, while heart rate variability did not differ between the active and sham groups. Wearable MBS may have applications in biomedical research, modulating neurological and cardiovascular responses to cognitive workload.

SENSORS (2021)

Article Chemistry, Multidisciplinary

Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences

Krzysztof Strzecha et al.

Summary: This work focuses on electromyography (EMG) signal processing for the diagnosis and therapy of different muscles. An original algorithm is proposed to clean raw EMG measurements and enable precise muscle activity measurements with minimal loss of diagnostic content.

APPLIED SCIENCES-BASEL (2021)

Article Neurosciences

Functional Gait Recovery after a Combination of Conventional Therapy and Overground Robot-Assisted Gait Training Is Not Associated with Significant Changes in Muscle Activation Pattern: An EMG Preliminary Study on Subjects Subacute Post Stroke

Francesco Infarinato et al.

Summary: This study examined muscle activation patterns in subacute stroke patients undergoing Overground Robot-Assisted Gait Training (o-RAGT) and conventional therapy. Significant functional gains in gait and increased bilateral symmetry of Tibialis Anterior muscles were observed post-treatment. The study concluded that complex intensive rehabilitation with o-RAGT and conventional therapy led to improved gait function in stroke patients, highlighting the importance of muscle activation patterns in functional recovery.

BRAIN SCIENCES (2021)

Article Chemistry, Analytical

Feasibility and Reliability Assessment of Video-Based Motion Analysis and Surface Electromyography in Children with Fragile X during Gait

Zimi Sawacha et al.

Summary: The study quantitatively assessed musculoskeletal alterations in children with FXS through gait analysis, revealing consistently altered gait pattern and abnormal muscle activity. These findings could provide insights for personalized rehabilitations.

SENSORS (2021)

Article Neurosciences

Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke

Iqram Hussain et al.

Summary: Electroencephalography (EEG) is a prospective predictive method for acute stroke prognostics, neurological outcome, and post-stroke rehabilitation management. This study quantified EEG features to understand task-induced neurological declines due to stroke and evaluated biomarkers to distinguish between stroke patients and healthy adults. The statistical results showed that alpha, theta, and delta activities are biomarkers that classify stroke patients and healthy adults during motor and cognitive states. Using machine-learning, the C5.0 model achieved high accuracy in classifying stroke patients and healthy adults during different tasks.

BRAIN SCIENCES (2021)

Article Computer Science, Information Systems

Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management

Iqram Hussain et al.

Summary: The study assessed the feasibility of a cyber-physical cardiac monitoring system for classifying stroke patients and healthy adults, proposing the Big-ECG system for stroke management. Analysis of ECG data revealed distinctive biomarkers for stroke patients compared to healthy controls, with the Random Trees model showing the best classification performance.

IEEE ACCESS (2021)

Article Health Care Sciences & Services

Kinematic and Electrophysiological Characteristics of Pedal Operation by Elderly Drivers during Emergency Braking

Kazuki Fujita et al.

Summary: This study found that elderly drivers have slower pedal-switching speed during emergency braking, and changes in muscle activity and joint movement decrease their pedal operability, increasing the likelihood of operational errors.

HEALTHCARE (2021)

Article Engineering, Biomedical

Myoelectric pattern recognition of hand motions for stroke rehabilitation

Jenny C. Castiblanco et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

Article Clinical Neurology

Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics?

Valentina Agostini et al.

FRONTIERS IN NEUROLOGY (2020)

Article Computer Science, Information Systems

HealthSOS: Real-Time Health Monitoring System for Stroke Prognostics

Iqram Hussain et al.

IEEE ACCESS (2020)

Proceedings Paper Computer Science, Artificial Intelligence

Gait Monitoring System for Stroke Prediction of Aging Adults

Hongkyu Park et al.

ADVANCES IN HUMAN FACTORS IN WEARABLE TECHNOLOGIES AND GAME DESIGN (2020)

Article Engineering, Biomedical

Myoelectric Pattern Recognition for Controlling a Robotic Hand: A Feasibility Study in Stroke

Zhiyuan Lu et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2019)

Article Medicine, General & Internal

Ischaemic stroke

Bruce C. Campbell et al.

NATURE REVIEWS DISEASE PRIMERS (2019)

Article Engineering, Biomedical

Is EMG a Viable Alternative to BCI for Detecting Movement Intention in Severe Stroke?

Sivakumar Balasubramanian et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)

Article Engineering, Biomedical

Simultaneous Recognition and Assessment of Post-Stroke Hemiparetic Gait by Fusing Kinematic, Kinetic, and Electrophysiological Data

Chengkun Cui et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2018)

Article Clinical Neurology

Electromyography Assessment During Gait in a Robotic Exoskeleton for Acute Stroke

Ghaith J. Androwis et al.

FRONTIERS IN NEUROLOGY (2018)

Review Medicine, Legal

Critical review of the use and scientific basis of forensic gait analysis

Nina M. van Mastrigt et al.

FORENSIC SCIENCES RESEARCH (2018)

Article Engineering, Biomedical

A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions

Chengkun Cui et al.

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (2017)

Article Engineering, Biomedical

Spatial Analysis of Multichannel Surface EMG in Hemiplegic Stroke

Ghulam Rasool et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)

Article Neurosciences

EMG patterns during assisted walking in the exoskeleton

Francesca Sylos-Labini et al.

FRONTIERS IN HUMAN NEUROSCIENCE (2014)

Article Engineering, Electrical & Electronic

Automated Biosignal Quality Analysis for Electromyography Using a One-Class Support Vector Machine

Graham D. Fraser et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2014)

Article Engineering, Biomedical

Identification of Contaminant Type in Surface Electromyography (EMG) Signals

Paul McCool et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2014)

Article Engineering, Electrical & Electronic

Mean and Median Frequency of EMG Signal to Determine Muscle Force based on Time-dependent Power Spectrum

S. Thongpanja et al.

ELEKTRONIKA IR ELEKTROTECHNIKA (2013)

Article Engineering, Biomedical

High-Density Myoelectric Pattern Recognition Toward Improved Stroke Rehabilitation

Xu Zhang et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2012)

Article Engineering, Biomedical

Subject-Specific Myoelectric Pattern Classification of Functional Hand Movements for Stroke Survivors

Sang Wook Lee et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2011)

Review Clinical Neurology

Neurological complications of acute ischaemic stroke

Joyce S. Balami et al.

LANCET NEUROLOGY (2011)

Review Clinical Neurology

Neuroplasticity in the context of motor rehabilitation after stroke

Michael A. Dimyan et al.

NATURE REVIEWS NEUROLOGY (2011)

Review Engineering, Biomedical

Multichannel SEMG in clinical gait analysis: A review and state-of-the-art

Carlo Frigo et al.

CLINICAL BIOMECHANICS (2009)

Article Clinical Neurology

Changes in muscle fiber density following a stroke

M. Lukacs et al.

CLINICAL NEUROPHYSIOLOGY (2009)

Article Engineering, Biomedical

Support vector machine-based classification scheme for myoelectric control applied to upper limb

Mohammadreza Asghari Oskoei et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2008)

Article Engineering, Biomedical

Evaluation of Head Orientation and Neck Muscle EMG Signals as Command Inputs to a Human-Computer Interface for Individuals With High Tetraplegia

Matthew R. Williams et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2008)

Article Engineering, Biomedical

The effects on kinematics and muscle activity of walking in a robotic gait trainer during zero-force control

Edwin H. F. van Asseldonk et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2008)

Article Clinical Neurology

Recovery of Gait After Stroke: What Changes?

Jaap H. Buurke et al.

NEUROREHABILITATION AND NEURAL REPAIR (2008)

Article Neurosciences

Clinical applications of high-density surface EMG: A systematic review

Gea Drost et al.

JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY (2006)

Article Neurosciences

Electromyography of selected lower-limb muscles fatigued by exercise at the intensity of soccer match-play

N Rahnama et al.

JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY (2006)

Article Computer Science, Information Systems

HL7 Clinical Document Architecture, Release 2

RH Dolin et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2006)

Article Clinical Neurology

Electrophysiological signs of changes in motor units after ischaemic stroke

M Lukács

CLINICAL NEUROPHYSIOLOGY (2005)

Article Computer Science, Artificial Intelligence

Using AUC and accuracy in evaluating learning algorithms

J Huang et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)

Review Clinical Neurology

Structural and functional changes in spastic skeletal muscle

RL Lieber et al.

MUSCLE & NERVE (2004)