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Multimodal sleep staging network based on obstructive sleep apnea.
Front Comput Neurosci
December 2024
School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing, China.
Article Synopsis
- Automatic sleep staging is important for diagnosing sleep disorders, but existing methods mainly focus on healthy populations, neglecting conditions like Obstructive Sleep Apnea (OSA).
- The study introduces a new deep learning model called MSDC-SSNet, which utilizes electroencephalogram (EEG) and electrooculogram (EOG) signals to improve classification through advanced techniques like Transformer encoders and Multi-Scale Feature Extraction Modules.
- The model demonstrated an 80.4% accuracy on OSA data and outperformed other leading methods, enhancing its practicality for diverse sleep populations.
Inadvertent higher rate atrial pacing after dual chamber pacemaker implantation - What is the underlying mechanism?
Indian Pacing Electrophysiol J
November 2024
Department of Cardiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, 226014, Uttar Pradesh, India. Electronic address:
Unexplained change in parameters, despite good lead positions or odd ECG patterns following implant should lead to suspicion of lead swap, amongst other possibilities. An easy way to confirm this is by paying careful attention to device EGMs and recording the ECG by switching off one channel, and pacing single channel (in either AAI or VVI mode).
View Article and Find Full Text PDFAccurate and 30-plus days reliable cuffless blood pressure measurements with 9-minutes personal photoplethysmograph data and mixed deduction learning.
Sci Rep
October 2024
Research Center for Applied Sciences, Academia Sinica , 128 Academia Rd., Sec. 2, 115-29, Nankang, Taipei City, Taiwan.
Cuffless blood pressure (BP) measurements have long been anticipated, and the PPG (Photoplethysmography)-only method is the most promising one since already embedded in many wearable devices. To further meet the clinical accuracy requirements, PPG-only BP predictions with personalized modeling for overcoming personal deviations have been widely studied, but all required tens to hundreds of minutes of personal PPG measurements for training. Moreover, their accurate test periods without calibration practice were not reported.
View Article and Find Full Text PDFSelf-Sensing Cavitation Detection for Pulsed Cavitational Ultrasound Therapy.
IEEE Trans Biomed Eng
September 2024
Objectives: Monitoring cavitation during ultrasound therapy is crucial for assessing the procedure safety and efficacy. This work aims to develop a self-sensing and low-complexity approach for robust cavitation detection in moving organs such as the heart.
Methods: An analog-to-digital converter was connected onto one channel of the therapeutic transducer from a clinical system dedicated to cardiac therapy, allowing to record signals on a computer.
Investigation of Electrical Signals in the Brain of People with Autism Using Effective Connectivity Network.
J Med Signals Sens
August 2024
Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.
Unlike other functional integration methods that examine the relationship and correlation between two channels, effective connection reports the direct effect of one channel on another and expresses their causal relationship. In this article, we investigate and classify electroencephalographic (EEG) signals based on effective connectivity. In this study, we leverage the Granger causality (GC) relationship, a method for measuring effective connectivity, to analyze EEG signals from both healthy individuals and those with autism.
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