Parkinson’s disease Archives - Journal of Biomedical and Health Informatics (JBHI)

Discovering consensus regions for interpretable identification of RNA N6-methyladenosine modification sites via graph contrastive clustering

April 24, 2024

April 2024 Highlights

April 2024 Highlights https://www.embs.org/jbhi/wp-content/uploads/sites/18/2024/04/JBHI-April-2024-Highlights-RNA.jpg 1271 638 Journal of Biomedical and Health Informatics (JBHI) Journal of Biomedical and Health Informatics (JBHI) //www.embs.org/jbhi/wp-content/uploads/sites/18/2022/06/ieee-jbhi-logo2x.png April 24, 2024 April 24, 2024

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2024 10 – 13 November 2024 Houston, TX USA Discovering consensus regions for interpretable identification of RNA N6-methyladenosine modification sites via…

March 25, 2024

March 2024 Highlights

March 2024 Highlights https://www.embs.org/jbhi/wp-content/uploads/sites/18/2024/03/Picture1.jpg 1270 635 Journal of Biomedical and Health Informatics (JBHI) Journal of Biomedical and Health Informatics (JBHI) //www.embs.org/jbhi/wp-content/uploads/sites/18/2022/06/ieee-jbhi-logo2x.png March 25, 2024 March 27, 2024

Enhancing Motor Sequence Learning via Transcutaneous Auricular Vagus Nerve Stimulation (taVNS): An EEG Study C. Tang, L. Chen, Z. Wang, L. Zhang, B. Gu, X. Liu, D. Ming, Dong Motor…

Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification

February 20, 2024

February 2024 Highlights

February 2024 Highlights https://www.embs.org/jbhi/wp-content/uploads/sites/18/2024/02/Noise-Factorized-Disentangled-Representation-Learning-for-Generalizable-Motor-Imagery-EEG-Classification.jpg 1024 600 Journal of Biomedical and Health Informatics (JBHI) Journal of Biomedical and Health Informatics (JBHI) //www.embs.org/jbhi/wp-content/uploads/sites/18/2022/06/ieee-jbhi-logo2x.png February 20, 2024 February 20, 2024

Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification Gu, J. Han, G-Z Yang, B. Lo, Motor Imagery (MI) Electroencephalography (EEG) is one of the most common Brain-Computer Interface…

Virtual Human Twin: a moon-shot project for digital health research

February 9, 2024

January 2024 Highlights

January 2024 Highlights https://www.embs.org/jbhi/wp-content/uploads/sites/18/2024/02/January-Highlights-Virtual-Human-Twin.png 1271 1038 Journal of Biomedical and Health Informatics (JBHI) Journal of Biomedical and Health Informatics (JBHI) //www.embs.org/jbhi/wp-content/uploads/sites/18/2022/06/ieee-jbhi-logo2x.png February 9, 2024 February 9, 2024

Position paper From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research Viceconti, Marco; De Vos, Maarten; Mellone, Sabato; Geris, Liesbet. The…

January 3, 2024

A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG

A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG https://www.embs.org/jbhi/wp-content/uploads/sites/18/2024/01/A-High-Rate-Hybrid-BCI-System-Based-on-High-Frequency-SSVEP-and-sEMG.png 1271 638 Journal of Biomedical and Health Informatics (JBHI) Journal of Biomedical and Health Informatics (JBHI) //www.embs.org/jbhi/wp-content/uploads/sites/18/2022/06/ieee-jbhi-logo2x.png January 3, 2024 January 3, 2024

A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG Cui, Hongyan; Chi, Xinyi; Wang, Lei; Chen, Xiaogang Hybrid brain-computer interfaces (BCIs) that combine more than two modes are…

October 30, 2015

Special Section: Enabling Technologies for Parkinson’s Disease Management

Special Section: Enabling Technologies for Parkinson’s Disease Management https://www.embs.org/jbhi/wp-content/uploads/sites/18/2015/10/Thumbnail1.png 170 177 Journal of Biomedical and Health Informatics (JBHI) Journal of Biomedical and Health Informatics (JBHI) //www.embs.org/jbhi/wp-content/uploads/sites/18/2022/06/ieee-jbhi-logo2x.png October 30, 2015 March 4, 2022

Parkinson’s disease is the most common neurological movement disorder, with a prevalence of up to 2% in the elderly. The new research published in this Special issue represents the edge…

October 30, 2015

Prediction of Freezing of Gait in Parkinson’s from Physiological Wearables: An Exploratory Study

Author(s)3: Sinziana Mazilu, Alberto Calatroni, Eran Gazit, Anat Mirelman, Jeffrey M. Hausdorff, Gerhard Tröster

Prediction of Freezing of Gait in Parkinson’s from Physiological Wearables: An Exploratory Study https://www.embs.org/jbhi/wp-content/uploads/sites/18/2015/10/Thumbnail2.png 170 177 Journal of Biomedical and Health Informatics (JBHI) Journal of Biomedical and Health Informatics (JBHI) //www.embs.org/jbhi/wp-content/uploads/sites/18/2022/06/ieee-jbhi-logo2x.png October 30, 2015 March 4, 2022

Freezing of gait (FoG) is a common and severe gait impairment among patients with advanced Parkinson’s disease. FoG is associated with falls and negatively impacts the patient’s quality of life.…

October 30, 2015

Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques

Author(s)3: Diane J. Cook, Maureen Schmitter-Edgecombe, Prafulla Dawadi

Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques https://www.embs.org/jbhi/wp-content/uploads/sites/18/2015/10/thumbnail3.png 170 177 Journal of Biomedical and Health Informatics (JBHI) Journal of Biomedical and Health Informatics (JBHI) //www.embs.org/jbhi/wp-content/uploads/sites/18/2022/06/ieee-jbhi-logo2x.png October 30, 2015 March 4, 2022

One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. This study uses smart homes and…

October 30, 2015

An Emerging Era in the Management of Parkinson’s Disease: Wearable Technologies and the Internet of Things

Author(s)3: Cristian F. Pasluosta, Heiko Gassner, Juergen Winkler, Jochen Klucken, Bjoern M. Eskofier

An Emerging Era in the Management of Parkinson’s Disease: Wearable Technologies and the Internet of Things https://www.embs.org/jbhi/wp-content/uploads/sites/18/2015/10/thumbnail4.png 170 177 Journal of Biomedical and Health Informatics (JBHI) Journal of Biomedical and Health Informatics (JBHI) //www.embs.org/jbhi/wp-content/uploads/sites/18/2022/06/ieee-jbhi-logo2x.png October 30, 2015 March 4, 2022

This review highlights the technological aspects of an emerging healthcare platform designed to cope with the increasing global prevalence of chronic neurological disorders associated with the elderly. Wearable technologies connected…