AIMC Topic: Wearable Electronic Devices

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Superelastic, Antifreezing, Antidrying, and Conductive Organohydrogels for Wearable Strain Sensors.

ACS applied materials & interfaces
Sensors based on conductive hydrogels have received extensive attention in various fields, such as artificial intelligence, electronic skin, and health monitoring. However, the poor resilience and fatigue resistance, icing, and water loss of traditio...

Mobile 5P-Medicine Approach for Cardiovascular Patients.

Sensors (Basel, Switzerland)
Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of severa...

HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms.

Sensors (Basel, Switzerland)
Human activity recognition (HAR) based on wearable sensors is a promising research direction. The resources of handheld terminals and wearable devices limit the performance of recognition and require lightweight architectures. With the development of...

Prediction of viral symptoms using wearable technology and artificial intelligence: A pilot study in healthcare workers.

PloS one
Conventional testing and diagnostic methods for infections like SARS-CoV-2 have limitations for population health management and public policy. We hypothesize that daily changes in autonomic activity, measured through off-the-shelf technologies toget...

Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends.

Sensors (Basel, Switzerland)
Wearable assistive robotics is an emerging technology with the potential to assist humans with sensorimotor impairments to perform daily activities. This assistance enables individuals to be physically and socially active, perform activities independ...

A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors.

Sensors (Basel, Switzerland)
Falling represents one of the most serious health risks for elderly people; it may cause irreversible injuries if the individual cannot obtain timely treatment after the fall happens. Therefore, timely and accurate fall detection algorithm research i...

Wearable RF Near-Field Cough Monitoring by Frequency-Time Deep Learning.

IEEE transactions on biomedical circuits and systems
Coughing is a common symptom for many respiratory disorders, and can spread droplets of various sizes containing bacterial and viral pathogens. Mild coughs are usually overlooked in the early stage, not only because they are barely noticeable by the ...

A Bioinspired Stretchable Sensory-Neuromorphic System.

Advanced materials (Deerfield Beach, Fla.)
Conventional stretchable electronics that adopt a wavy design, a neutral mechanical plane, and conformal contact between abiotic and biotic interfaces have exhibited diverse skin-interfaced applications. Despite such remarkable progress, the evolutio...

AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove.

Nature communications
Sign language recognition, especially the sentence recognition, is of great significance for lowering the communication barrier between the hearing/speech impaired and the non-signers. The general glove solutions, which are employed to detect motions...

Gait training with a wearable curara® robot for cerebellar ataxia: a single-arm study.

Biomedical engineering online
BACKGROUND: Ataxic gait is one of the most common and disabling symptoms in people with degenerative cerebellar ataxia. Intensive and well-coordinated inpatient rehabilitation improves ataxic gait. In addition to therapist-assisted gait training, rob...