Increasing demand of using everyday clothing in wearable sensing and display has
synergistically advanced the field of electronic textiles, or e-textiles. A variety of types of e …

Gesture recognition has become a research hotspot in the fields of human–computer
interaction, sign language recognition, rehabilitation training, sports medicine, etc. The …

Parkinson's disease is a progressive neurodegenerative disorder caused by dopaminergic
neuron degeneration. Parkinsonian speech impairment is one of the earliest presentations …

Multimodal data fusion in healthcare platforms aligns with the principles of predictive,
preventive, and personalized medicine (3PM) by harnessing the power of diverse data …

Although deep learning models are growingly being employed in medical image
segmentation, directly using images to train them may violate patient privacy and data …

People around the globe are suffering from different types of brain–heart disorders. Early
detection of these disorders may increase the lifespan of humans. Numerous inherited and …

░ ABSTRACT-It is difficult to run delay-sensitive applications and the cloud simultaneously
due to performance metrics such as latency, energy consumption, bandwidth, and response …

Wearable devices are often used to diagnose arrhythmia, but the electrocardiogram (ECG)
monitoring process generates a large amount of data, which will affect the detection speed …

Wearable technology including sensors, sensor networks, and the associated devices have
opened up space in a variety of applications. Long-term, noninvasive, and nonintrusive …

Alcohol use disorders (AUDs) are associated with alterations in EEG patterns that reflect
underlying neural dysfunctions, such as impaired cognitive processing, reduced neural …