Cargando…

Machine Learning Application of Transcranial Motor-Evoked Potential to Predict Positive Functional Outcomes of Patients

Intraoperative neuromonitoring (IONM) has been used to help monitor the integrity of the nervous system during spine surgery. Transcranial motor-evoked potential (TcMEP) has been used lately for lower lumbar surgery to prevent nerve root injuries and also to predict positive functional outcomes of p...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jamaludin, Mohd Redzuan, Lai, Khin Wee, Chuah, Joon Huang, Zaki, Muhammad Afiq, Hasikin, Khairunnisa, Abd Razak, Nasrul Anuar, Dhanalakshmi, Samiappan, Saw, Lim Beng, Wu, Xiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142308/ https://www.ncbi.nlm.nih.gov/pubmed/35634043 http://dx.doi.org/10.1155/2022/2801663

Ejemplares similares

Transcranial Electrical Motor Evoked Potential in Predicting Positive Functional Outcome of Patients after Decompressive Spine Surgery: Review on Challenges and Recommendations towards Objective Interpretation
por: Jamaludin, Mohd Redzuan, et al.
Publicado: (2021)

Editorial: Computational intelligence in personalized medicine
por: Zhang, Yuanpeng, et al.
Publicado: (2022)

Predicting medical device failure: a promise to reduce healthcare facilities cost through smart healthcare management
por: Abd Rahman, Noorul Husna, et al.
Publicado: (2023)

An Overview of Deep Learning Methods for Left Ventricle Segmentation
por: Shoaib, Muhammad Ali, et al.
Publicado: (2023)

Multiclass Convolution Neural Network for Classification of COVID-19 CT Images
por: Woan Ching, Serena Low, et al.
Publicado: (2022)

Occupational Injury Risk Mitigation: Machine Learning Approach and Feature Optimization for Smart Workplace Surveillance
por: Khairuddin, Mohamed Zul Fadhli, et al.
Publicado: (2022)

Critical Device Reliability Assessment in Healthcare Services
por: Abd Rahman, Noorul Husna, et al.
Publicado: (2023)

Emergence of Deep Learning in Knee Osteoarthritis Diagnosis
por: Yeoh, Pauline Shan Qing, et al.
Publicado: (2021)

Predicting occupational injury causal factors using text-based analytics: A systematic review
por: Khairuddin, Mohamed Zul Fadhli, et al.
Publicado: (2022)

The Promise for Reducing Healthcare Cost with Predictive Model: An Analysis with Quantized Evaluation Metric on Readmission
por: Teo, Kareen, et al.
Publicado: (2021)

Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
por: Teoh, Yun Xin, et al.
Publicado: (2022)

Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies
por: Loo, Wei Kit, et al.
Publicado: (2022)

Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network
por: Shoaib, Muhammad Ali, et al.
Publicado: (2023)

Comparative studies of deep learning segmentation models for left ventricle segmentation
por: Shoaib, Muhammad Ali, et al.
Publicado: (2022)

Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review
por: Neo, En Xin, et al.
Publicado: (2022)

Microcalcification Discrimination in Mammography Using Deep Convolutional Neural Network: Towards Rapid and Early Breast Cancer Diagnosis
por: Leong, Yew Sum, et al.
Publicado: (2022)

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review
por: Zhao, Zhen, et al.
Publicado: (2023)

Artificial intelligence-assisted air quality monitoring for smart city management
por: Neo, En Xin, et al.
Publicado: (2023)

Performance Analysis of Machine Learning and Deep Learning Architectures on Early Stroke Detection Using Carotid Artery Ultrasound Images
por: Latha, S., et al.
Publicado: (2022)

A Low-Cost Multistage Cascaded Adaptive Filter Configuration for Noise Reduction in Phonocardiogram Signal
por: Pauline, S. Hannah, et al.
Publicado: (2022)

Soft Attention Based DenseNet Model for Parkinson’s Disease Classification Using SPECT Images
por: Thakur, Mahima, et al.
Publicado: (2022)

Editorial: Emerging applications of text analytics and natural language processing in healthcare
por: Hasikin, Khairunnisa, et al.
Publicado: (2023)

Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images
por: Latha, S., et al.
Publicado: (2022)

Discernment on assistive technology for the care and support requirements of older adults and differently-abled individuals
por: Muthu, P., et al.
Publicado: (2023)

Deep Learning Model for Prediction of Progressive Mild Cognitive Impairment to Alzheimer’s Disease Using Structural MRI
por: Lim, Bing Yan, et al.
Publicado: (2022)

Radiological Analysis of COVID-19 Using Computational Intelligence: A Broad Gauge Study
por: Vineth Ligi, S., et al.
Publicado: (2022)

Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative
por: Yeoh, Pauline Shan Qing, et al.
Publicado: (2023)

Reliability of Motor Evoked Potentials Induced by Transcranial Magnetic Stimulation: The Effects of Initial Motor Evoked Potentials Removal
por: Hashemirad, Fahimeh, et al.
Publicado: (2017)

Brain Tumour Temporal Monitoring of Interval Change Using Digital Image Subtraction Technique
por: Khalil, Azira, et al.
Publicado: (2021)

Children’s Physiological and Perceptual Responses to Sports Exergames When Played in Different Positions
por: Mohd Sidek, Nur Nashruha, et al.
Publicado: (2023)

A Systematic Review of Medical Equipment Reliability Assessment in Improving the Quality of Healthcare Services
por: Zamzam, Aizat Hilmi, et al.
Publicado: (2021)

Conditioning effect of transcranial magnetic stimulation evoking motor‐evoked potential on V‐wave response
por: Grosprêtre, Sidney, et al.
Publicado: (2014)

Different Effects of Implicit and Explicit Motor Sequence Learning on Latency of Motor Evoked Potential Evoked by Transcranial Magnetic Stimulation on the Primary Motor Cortex
por: Hirano, Masato, et al.
Publicado: (2017)

Iatrogenic Seizures during Intraoperative Transcranial Motor-Evoked Potential Monitoring
por: Sokhal, Suman, et al.
Publicado: (2019)

Can the Recording of Motor Potentials Evoked by Transcranial Magnetic Stimulation Be Optimized?
por: Garcia, Marco A. C., et al.
Publicado: (2017)

Onset Latency of Motor Evoked Potentials in Motor Cortical Mapping with Neuronavigated Transcranial Magnetic Stimulation
por: Kallioniemi, Elisa, et al.
Publicado: (2015)

Sensitivity and specificity in transcranial motor-evoked potential monitoring during neurosurgical operations
por: Tanaka, Satoshi, et al.
Publicado: (2011)

Comparing the Efficacy of Excitatory Transcranial Stimulation Methods Measuring Motor Evoked Potentials
por: Moliadze, Vera, et al.
Publicado: (2014)

Threshold variation of transcranial motor evoked potential with threshold criterion in frontotemporal craniotomy
por: Kanaya, Kohei, et al.
Publicado: (2019)

Direct Cortical Motor Evoked Potentials Versus Transcranial Motor Evoked Potentials for the Detection of Cortical Ischemia During Supratentorial Craniotomy: Case Report
por: Silverstein, Justin W, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_v8li976g32s43044jhikimlpmh