AIMC Topic: Nervous System Diseases
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The Experiences of Robot-Assisted Gait Training in Patients With Neurological Disorders: A Qualitative Study.
Rehabilitation nursing : the official journal of the Association of Rehabilitation Nurses
Mar 29, 2022
PURPOSE: The aim of this study was to explore the rehabilitation experiences and perceptions of patients with neurological disorders who have used the Lokomat Augmented Feedback module, a robot-assisted gait training device.
Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions.
Sensors (Basel, Switzerland)
Jan 24, 2022
Neurodevelopmental disorders (NDD) are impairments of the growth and development of the brain and/or central nervous system. In the light of clinical findings on early diagnosis of NDD and prompted by recent advances in hardware and software technolo...
Integration of gene co-expression analysis and multi-class SVM specifies the functional players involved in determining the fate of HTLV-1 infection toward the development of cancer (ATLL) or neurological disorder (HAM/TSP).
PloS one
Jan 18, 2022
Human T-cell Leukemia Virus type-1 (HTLV-1) is an oncovirus that may cause two main life-threatening diseases including a cancer type named Adult T-cell Leukemia/Lymphoma (ATLL) and a neurological and immune disturbance known as HTLV-1 Associated Mye...
Comparative Study of Artificial Intelligence Techniques for the Diagnosis of Chronic Nerve Diseases.
Computational and mathematical methods in medicine
Jan 13, 2022
Farming is essential to the long-term viability of any economy. It differs in each country, but it is essential for long-term economic success. Only a few of the agricultural industry's issues include a lack of suitable irrigation systems, weeds, and...
Detection of EEG burst-suppression in neurocritical care patients using an unsupervised machine learning algorithm.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Aug 5, 2021
OBJECTIVE: The burst suppression pattern in clinical electroencephalographic (EEG) recordings is an important diagnostic tool because of its association with comas of various etiologies, as with hypoxia, drug related intoxication or deep anesthesia. ...
Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network.
International journal of computer assisted radiology and surgery
Jun 5, 2021
PURPOSE: Transcranial magnetic stimulation (TMS) is a growing therapy for a variety of psychiatric and neurological disorders that arise from or are modulated by cortical regions of the brain represented by singular 3D target points. These target poi...
Batch enrollment for an artificial intelligence-guided intervention to lower neurologic events in patients with undiagnosed atrial fibrillation: rationale and design of a digital clinical trial.
American heart journal
May 24, 2021
BACKGROUND: Clinical trials are a fundamental tool to evaluate medical interventions but are time-consuming and resource-intensive.
Artificial intelligence extension of the OSCAR-IB criteria.
Annals of clinical and translational neurology
May 19, 2021
Artificial intelligence (AI)-based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big data ...
A New Dataset for Facial Motion Analysis in Individuals With Neurological Disorders.
IEEE journal of biomedical and health informatics
Apr 6, 2021
We present the first public dataset with videos of oro-facial gestures performed by individuals with oro-facial impairment due to neurological disorders, such as amyotrophic lateral sclerosis (ALS) and stroke. Perceptual clinical scores from trained ...
Optimization of the ASPIRE Spherical Parallel Rehabilitation Robot Based on Its Clinical Evaluation.
International journal of environmental research and public health
Mar 22, 2021
The paper presents the design optimization of the ASPIRE spherical parallel robot for shoulder rehabilitation following clinical evaluation and clinicians' feedback. After the development of the robotic structure and the implementation of the control...
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