AIMC Topic: Wearable Electronic Devices

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An Ultra-Low Power Wearable BMI System With Continual Learning Capabilities.

IEEE transactions on biomedical circuits and systems
Driven by the progress in efficient embedded processing, there is an accelerating trend toward running machine learning models directly on wearable Brain-Machine Interfaces (BMIs) to improve portability and privacy and maximize battery life. However,...

Ultra-Low Power Analog Folded Neural Network for Cardiovascular Health Monitoring.

IEEE journal of biomedical and health informatics
Wearable sensors are increasingly used for continuous health monitoring, but their small size limits battery capacity, affecting user experience and monitoring capabilities. To overcome this, we introduce an ultra-low power analog Folded Neural Netwo...

Revolutionizing stroke prediction: a systematic review of AI-powered wearable technologies for early detection of stroke.

Neurosurgical review
Wearable technology, combined with artificial intelligence (AI) and machine learning (ML) algorithms, opens up new frontiers for continuously monitoring physiological or behavioural data, allowing the identification of stroke risk factors at an earli...

Feasibility and Effects of a Gait Assistance and Gait Resistance Training Program Using a Walking-Assist Wearable Robot for Community-Dwelling Older Adults: Single-Group, Pre-, and Posttest Study.

JMIR mHealth and uHealth
BACKGROUND: Two-thirds of people aged 65 years and older may require help with daily activities such as eating, bathing, and getting in and out of bed or a chair. Walking-assist wearable robots have shown significant improvements in physical function...

Natural AlO Nanodielectric-Based Flexible Sensor with Triple Insensitivity for Healthcare and Robotics.

ACS applied materials & interfaces
Flexible pressure sensors are critical for advanced systems such as electronic skins and human-machine interaction. Among them, ionic capacitive pressure sensors have attracted widespread attention due to their exceptional flexibility and sensitivity...

Artificial intelligence to improve cardiovascular population health.

European heart journal
With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthcare delivery and improve population health. This review provides a state-of-the-art overview of recent advancements in AI technologies and their applic...

Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping.

Translational psychiatry
Heightened negative affect is a core feature of serious mental illness. Over 90% of American adults own a smartphone, equipped with an array of sensors which can continuously and unobtrusively measure behaviors (e.g., activity levels, location, and p...

Wearable Sensors and Artificial Intelligence for Sleep Apnea Detection: A Systematic Review.

Journal of medical systems
Sleep apnea, a prevalent disorder affecting millions of people worldwide, has attracted increasing attention in recent years due to its significant impact on public health and quality of life. The integration of wearable devices and artificial intell...

An ensemble deep learning framework for emotion recognition through wearable devices multi-modal physiological signals.

Scientific reports
The widespread availability of miniaturized wearable fitness trackers has enabled the monitoring of various essential health parameters. Utilizing wearable technology for precise emotion recognition during human and computer interactions can facilita...

MyWear revolutionizes real-time health monitoring with comparative analysis of machine learning.

Scientific reports
This paper facilitates proactive health management, advanced patient care, and early identification of possible health hazards by using MyWear. It is a wearable T-shirt that continuously monitors and predicts physiological parameters such as stress a...