AIMC Topic: Signal Processing, Computer-Assisted

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RVDLAHA: An RISC-V DLA Hardware Architecture for On-Device Real-Time Seizure Detection and Personalization in Wearable Applications.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
Epilepsy is a globally distributed chronic neurological disorder that may pose a threat to life without warning. Therefore, the use of wearable devices for real-time detection and treatment of epilepsy is crucial. Additionally, personalizing disease ...
Wearable Electronic Devices Rats Electroencephalography Animals Deep Learning Seizures Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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AI Accelerator With Ultralightweight Time-Period CNN-Based Model for Arrhythmia Classification.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
This work proposes a classification system for arrhythmias, aiming to enhance the efficiency of the diagnostic process for cardiologists. The proposed algorithm includes a naive preprocessing procedure for electrocardiography (ECG) data applicable to...
Neural Networks, Computer Artificial Intelligence Algorithms Humans Signal Processing, Computer-Assisted Arrhythmias, Cardiac Databases, Factual Electrocardiography
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Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
Deep neural network (DNN) models have shown remarkable success in many real-world scenarios, such as object detection and classification. Unfortunately, these models are not yet widely adopted in health monitoring due to exceptionally high requiremen...
Neural Networks, Computer Algorithms Wearable Electronic Devices Humans Electrocardiography Monitoring, Physiologic Signal Processing, Computer-Assisted
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MorphBungee: A 65-nm 7.2-mm 27-µJ/Image Digital Edge Neuromorphic Chip With on-Chip 802-Frame/s Multi-Layer Spiking Neural Network Learning.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
This paper presents a digital edge neuromorphic spiking neural network (SNN) processor chip for a variety of edge intelligent cognitive applications. This processor allows high-speed, high-accuracy and fully on-chip spike-timing-based multi-layer SNN...
Equipment Design Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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Supervised Contrastive Learning Framework and Hardware Implementation of Learned ResNet for Real-Time Respiratory Sound Classification.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
This paper presents a supervised contrastive learning (SCL) framework for respiratory sound classification and the hardware implementation of learned ResNet on field programmable gate array (FPGA) for real-time monitoring. At the algorithmic level, m...
Humans Signal Processing, Computer-Assisted Neural Networks, Computer Supervised Machine Learning Algorithms Respiratory Sounds Bayes Theorem
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PhysioEx: a new Python library for explainable sleep staging through deep learning.

Physiological measurement Feb 10, 2025
Sleep staging is a crucial task in clinical and research contexts for diagnosing and understanding sleep disorders. This work introduces PhysioEx (Physiological Signal Explainer), a Python library designed to support the analysis of sleep stages usin...
Deep Learning Electroencephalography Signal Processing, Computer-Assisted Sleep Stages Humans Software
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Pseudo-HFOs Elimination in iEEG Recordings Using a Robust Residual-Based Dictionary Learning Framework.

IEEE journal of biomedical and health informatics Feb 10, 2025
High-frequency oscillations (HFOs) in intracranial EEG (iEEG) recordings are critical biomarkers for localizing the seizure onset zone (SOZ) in patients with focal refractory epilepsy. Despite their clinical significance, HFO analysis is often compro...
Electrocorticography Young Adult Algorithms Humans Adult Male Brain Artifacts Machine Learning Female Epilepsies, Partial Electroencephalography Signal Processing, Computer-Assisted
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WaveSleepNet: An Interpretable Network for Expert-Like Sleep Staging.

IEEE journal of biomedical and health informatics Feb 10, 2025
Although deep learning algorithms have proven their efficiency in automatic sleep staging, their "black-box" nature has limited their clinical adoption. In this study, we propose WaveSleepNet, an interpretable neural network for sleep staging that re...
Sleep Stages Humans Signal Processing, Computer-Assisted Neural Networks, Computer Polysomnography Male Algorithms Deep Learning Female Electroencephalography Adult
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Multiclass Classification Framework of Motor Imagery EEG by Riemannian Geometry Networks.

IEEE journal of biomedical and health informatics Feb 10, 2025
In motor imagery (MI) tasks for brain computer interfaces (BCIs), the spatial covariance matrix (SCM) of electroencephalogram (EEG) signals plays a critical role in accurate classification. Given that SCMs are symmetric positive definite (SPD), Riema...
Humans Imagination Neural Networks, Computer Electroencephalography Algorithms Signal Processing, Computer-Assisted Brain Brain-Computer Interfaces
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SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis.

IEEE journal of biomedical and health informatics Feb 10, 2025
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to cardiovascular morbidity. Polysomnography, the standard diagnostic approach, faces challenges in accessibility and complexity, leading to underdiagno...
Sleep Apnea Syndromes Sleep Apnea, Obstructive Polysomnography Child Electrocardiography Signal Processing, Computer-Assisted Adolescent Child, Preschool Humans Female Male Diagnosis, Computer-Assisted Deep Learning
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