AI Medical Compendium Journal:
Sensors (Basel, Switzerland)

Showing 91 to 100 of 4729 articles

Gesture Recognition Achieved by Utilizing LoRa Signals and Deep Learning.

Sensors (Basel, Switzerland) Feb 27, 2025
This study proposes a novel gesture recognition system based on LoRa technology, integrating advanced signal preprocessing, adaptive segmentation algorithms, and an improved SS-ResNet50 deep learning model. Through the combination of residual learnin...
Pattern Recognition, Automated Deep Learning Humans Gestures Algorithms Signal Processing, Computer-Assisted
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A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images.

Sensors (Basel, Switzerland) Feb 26, 2025
Our research introduces a framework that integrates edge computing, quantum transfer learning, and federated learning to revolutionize pain level assessment through ECG signal analysis. The primary focus lies in developing a robust, privacy-preservin...
Algorithms Electrocardiography Signal Processing, Computer-Assisted Pain Pain Measurement Humans Neural Networks, Computer Machine Learning Wavelet Analysis Federated Learning
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Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal.

Sensors (Basel, Switzerland) Feb 26, 2025
Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimation of RRs for cardiopulmonary function is essential for home health monitoring systems. However, machine learning (ML) algorithm errors embedded in hea...
Respiratory Rate Uncertainty Signal Processing, Computer-Assisted Dyspnea Humans Female Machine Learning Photoplethysmography Aged Algorithms Male Monitoring, Physiologic
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A Review of Machine Learning and Deep Learning Methods for Person Detection, Tracking and Identification, and Face Recognition with Applications.

Sensors (Basel, Switzerland) Feb 26, 2025
This paper provides a comprehensive analysis of recent developments in face recognition, tracking, identification, and person detection technologies, highlighting the benefits and drawbacks of the available techniques. To assess the state-of-art in t...
Humans Machine Learning Deep Learning Biometric Identification Facial Recognition Automated Facial Recognition Face
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Deep Learning Approach for Automatic Heartbeat Classification.

Sensors (Basel, Switzerland) Feb 25, 2025
Arrhythmia is an irregularity in the rhythm of the heartbeat, and it is the primary method for detecting cardiac abnormalities. The electrocardiogram (ECG) identifies arrhythmias and is one of the methods used to diagnose cardiac issues. Traditional ...
Heart Rate Signal Processing, Computer-Assisted Humans Arrhythmias, Cardiac Deep Learning Algorithms Electrocardiography
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MRI-Based Meningioma Firmness Classification Using an Adversarial Feature Learning Approach.

Sensors (Basel, Switzerland) Feb 25, 2025
The firmness of meningiomas is a critical factor that impacts the surgical approach recommended for patients. The conventional approaches that couple image processing techniques with radiologists' visual assessments of magnetic resonance imaging (MRI...
Meningioma Meningeal Neoplasms Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging Algorithms
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Hybrid CNN-GRU Models for Improved EEG Motor Imagery Classification.

Sensors (Basel, Switzerland) Feb 25, 2025
Brain-computer interfaces (BCIs) based on electroencephalography (EEG) enable neural activity interpretation for device control, with motor imagery (MI) serving as a key paradigm for decoding imagined movements. Efficient feature extraction from raw ...
Movement Imagination Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Brain-Computer Interfaces Electroencephalography Humans
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Non-Invasive Biomarkers in the Era of Big Data and Machine Learning.

Sensors (Basel, Switzerland) Feb 25, 2025
Invasive diagnostic techniques, while offering critical insights into disease pathophysiology, are often limited by high costs, procedural risks, and patient discomfort. Non-invasive biomarkers represent a transformative alternative, providing diagno...
Humans Machine Learning Biomarkers Precision Medicine Big Data
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Novel Robotic Balloon-Based Device for Wrist-Extension Therapy of Hemiparesis Stroke Patients.

Sensors (Basel, Switzerland) Feb 23, 2025
Upper-limb paresis is one of the main complications after stroke. It is commonly associated with impaired wrist-extension function. Upper-limb paresis can place a tremendous burden on stroke survivors and their families. A novel soft-actuator device,...
Male Middle Aged Pilot Projects Female Stroke Robotics Humans Paresis Aged Wrist Stroke Rehabilitation
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Content-Based Histopathological Image Retrieval.

Sensors (Basel, Switzerland) Feb 22, 2025
Feature descriptors in histopathological images are an important challenge for the implementation of Content-Based Image Retrieval (CBIR) systems, an essential tool to support pathologists. Deep learning models like Convolutional Neural Networks and ...
Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted Deep Learning
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