AIMC Journal:
ieee-embc

Showing 111 to 120 of 1686 articles

Personality Trait Recognition using ECG Spectrograms and Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper presents an innovative approach to recognizing personality traits using deep learning (DL) methods applied to electrocardiogram (ECG) signals. The research explores the potential of ECG-derived spectrograms as informative features in detec...
Personality Electrocardiography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Female Male Deep Learning
View on PubMed DOI

GaitObserver: Robotic Solution Unveiling Human Walking Dynamics in Motor-Cognitive Dual Tasks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The Motor Cognitive Dual-Task (MCDT) protocols have experienced a positive impact due to the increasing accessibility of new technologies for gait assessment. This study proposes the adoption of a novel hybrid system composed of wearable sensors and ...
Wearable Electronic Devices Cognition Robotics Humans Female Adult Walking Male Gait
View on PubMed DOI

Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
While deep learning methods are increasingly applied in research contexts for neuropsychiatric disorder diagnosis, small dataset size limits their potential for clinical translation. Data augmentation (DA) could address this limitation, but the utili...
Signal Processing, Computer-Assisted Deep Learning Electroencephalography Algorithms Depressive Disorder, Major Diagnosis, Computer-Assisted Humans
View on PubMed DOI

Lightweight Neural-Network-Based Trajectory Estimation for Low-Cost Inertial Measurement Units.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Generally, inertial measurement unit can measure the acceleration and angular velocity of an object in three-dimensional space, and use this to calculate the object's attitude and movement trajectory. In particular, motion trajectories can be applied...
Accelerometry Convolutional Neural Networks Wearable Electronic Devices
View on PubMed DOI

Hip Hiking Gait Improvement with Electrohydraulic Robotic Knee: Preliminary Results.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Individuals with Transfemoral Amputation (TFA) usually exhibit hip hiking walking with passive prostheses due to insufficient knee flexion. Powered knee prostheses can provide net-positive energy in the knee joint with improved gait symmetry. However...
Humans Adult Biomechanical Phenomena Male Robotics Hip Walking Gait Torque Electromyography Knee Joint
View on PubMed DOI

Advancements in Continuous Glucose Monitoring: Integrating Deep Learning and ECG Signal.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardiograms (ECG) from an extensive database comprising 1119 subjects. Previous research on hyperglycemia or glucose detection using ECG has been constraine...
Monitoring, Physiologic Signal Processing, Computer-Assisted Continuous Glucose Monitoring Electrocardiography Hyperglycemia Humans Algorithms Neural Networks, Computer Deep Learning Blood Glucose
View on PubMed DOI

Exploring Random Forest Machine Learning for Fetal Movement Detection using Abdominal Acceleration and Angular Rate Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Fetal movement is a commonly monitored indicator of fetal wellbeing with reductions in fetal movement being associated with poor perinatal outcomes. However, more informative datasets of fetal movement are required for improved clinical decision maki...
Abdomen Random Forest Acceleration Adult ROC Curve Accelerometry Fetal Monitoring Fetal Movement Humans Machine Learning Algorithms Pregnancy Female
View on PubMed DOI

Advancing SSVEP-BCI Decoding: Cross-Subject Transfer Learning and Short Calibrated Approach with ELM-AE.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The Steady-State Visually Evoked Potential (SSVEP) is a robust paradigm for developing a high-speed Brain-Computer Interface (BCI). However, one of the challenges of BCI is to face the variability of EEG signals between subjects to reduce or eliminat...
Humans Machine Learning Algorithms Brain-Computer Interfaces Evoked Potentials, Visual Electroencephalography Signal Processing, Computer-Assisted Calibration Adult Male
View on PubMed DOI

Assessing the Impact of Federated Learning and Differential Privacy on Multi-centre Polyp Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Federated Learning (FL) is emerging in the medical field to address the need for diverse datasets while complying with data protection regulations. This decentralised learning paradigm allows hospitals (clients) to train machine learning models local...
Polyps Federated Learning Privacy Computer Security Machine Learning Humans Algorithms Image Processing, Computer-Assisted
View on PubMed DOI

Cough Sound Based Deep Learning Models for Diagnosis of COVID-19 Using Statistical Features and Time-Frequency Spectrum.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper presents a deep learning model that can classify COVID-19 patients through cough sounds. The cough sound data were selected from the Cambridge data set which is a crowedsourced data set collected from the Cambridge COVID-19 sounds applicat...
Humans ROC Curve COVID-19 Cough SARS-CoV-2 Sound Spectrography Deep Learning
View on PubMed DOI
Popular Topics
Popular Journals