AIMC Journal:
ieee-embc

Showing 291 to 300 of 1686 articles

Smartphone-Based Balance Assessment Using Machine 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 study explores the potential of smartphones to objectively assess balance, which is crucial for the elderly and individuals recovering from various medical conditions. We propose an innovative methodology to estimate the Modified Clinical Test o...
Smartphone Postural Balance Telemedicine Male Middle Aged Algorithms Accelerometry Female Reproducibility of Results Humans Aged Aged, 80 and over Machine Learning Young Adult Adult
View on PubMed DOI

Development of Mobile Application Based on AI for Predicting the Suitable Height of High Heels.

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
As high heels become increasingly popular in everyday attire, their impact on foot and lower limb health has garnered widespread attention. Wearing high heels of inappropriate height over a long period can cause damage to an individual's ankles, knee...
Artificial Intelligence Mobile Applications Foot Humans
View on PubMed DOI

Enhancing Wearable based Real-Time Glucose Monitoring via Phasic Image Representation Learning based 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
In the U.S., over a third of adults are pre-diabetic, with 80% unaware of their status. This underlines the need for better glucose monitoring to prevent type 2 diabetes and related heart diseases. Existing wearable glucose monitors are limited by th...
Blood Glucose Image Processing, Computer-Assisted Blood Glucose Self-Monitoring Signal Processing, Computer-Assisted Algorithms Deep Learning Wearable Electronic Devices Humans Machine Learning
View on PubMed DOI

Automated Intraoperative Visual Detection of Pediatric Epileptogenic Brain Lesions Using a Machine Learning Classifier.

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
450,000 children with epilepsy in the United States suffer lifelong disability and are at risk of sudden death. Surgical treatment of epilepsy is limited by the ability to visually discriminate between normal and abnormal brain tissue using visual li...
Humans Child Machine Learning Epilepsy Brain
View on PubMed DOI

Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring.

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
Sensor-based remote healthcare monitoring is a promising approach for timely detection of adverse health events such as falls or infections in people living with dementia (PLwD) in the home, and reducing preventable hospital admissions. Current anoma...
Supervised Machine Learning Machine Learning Algorithms Humans Dementia Monitoring, Physiologic Remote Sensing Technology
View on PubMed DOI

Pneumatic Relaxation Oscillator with Passive Components for Continuous Toes Movement.

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
Continuous passive motion of the toes improves blood circulation and may help ankle injuries heal faster. Soft devices are more appropriate than rigid devices to accommodate a variety of foot shapes. Most conventional pneumatic soft robots are actuat...
Movement Toes Robotics Equipment Design Torque Humans
View on PubMed DOI

CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases.

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
U-Net has been demonstrated to be effective for the task of medical image segmentation. Additionally, integrating attention mechanism into U-Net has been shown to yield significant benefits. The Shape Attentive U-Net (SAUNet) is one such recently pro...
Magnetic Resonance Imaging Heart Ventricles Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
View on PubMed DOI

Robotically adjustable kinematics in a wrist-driven orthosis eases grasping across 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
Without finger function, people with C5-7 spinal cord injury (SCI) regularly utilize wrist extension to passively close the fingers and thumb together for grasping. Wearable assistive grasping devices often focus on this familiar wrist-driven techniq...
Humans Male Hand Strength Robotics Adult Biomechanical Phenomena Spinal Cord Injuries Orthotic Devices Equipment Design Wrist
View on PubMed DOI

Evolutionary learning-derived lncRNA signature with biomarker discovery for predicting stage of colon adenocarcinoma.

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
In recent years, long non-coding RNAs (lncRNAs) have emerged as potential regulators of biological processes and genes, with the potential to serve as valuable biomarkers for cancer diagnosis and prognosis prediction. This work proposes an evolutiona...
Colonic Neoplasms RNA, Long Noncoding Neoplasm Staging Machine Learning Algorithms Humans Gene Expression Profiling Adenocarcinoma Biomarkers, Tumor
View on PubMed DOI

Enhancing sleep stage classification with 2-class stratification and permutation-based channel selection.

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
We present a method that uses a convolutional neural network (CNN) called EEGNeX to extract and classify the characteristics of sleep-related waveforms from electroencephalographic (EEG) signals in different stages of sleep. Our results showed that t...
Humans Neural Networks, Computer Electroencephalography Signal Processing, Computer-Assisted Sleep Stages Algorithms ROC Curve
View on PubMed DOI
Popular Topics
Popular Journals