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Wearable Electronic Devices

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Occupational therapists' evaluation of the perceived usability and utility of wearable soft robotic exoskeleton gloves for hand function rehabilitation following a stroke.

Disability and rehabilitation. Assistive technology
PURPOSE: To evaluate the perceived usability and utility of using a soft robotic glove to rehabilitate hand function following a stroke.

Smart Healthcare System Based on Cloud-Internet of Things and Deep Learning.

Journal of healthcare engineering
INTRODUCTION: Health monitoring and remote diagnosis can be realized through Smart Healthcare. In view of the existing problems such as simple measurement parameters of wearable devices, huge computing pressure of cloud servers, and lack of individua...

Development and Application of Medicine-Engineering Integration in the Rehabilitation of Traumatic Brain Injury.

BioMed research international
The rapid progress of the combination of medicine and engineering provides better chances for the clinical treatment and healthcare engineering. Traumatic brain injury (TBI) and its related symptoms have become a major global health problem. At prese...

Personalized machine learning of depressed mood using wearables.

Translational psychiatry
Depression is a multifaceted illness with large interindividual variability in clinical response to treatment. In the era of digital medicine and precision therapeutics, new personalized treatment approaches are warranted for depression. Here, we use...

Digital electronics in fibres enable fabric-based machine-learning inference.

Nature communications
Digital devices are the essential building blocks of any modern electronic system. Fibres containing digital devices could enable fabrics with digital system capabilities for applications in physiological monitoring, human-computer interfaces, and on...

Comparing stress prediction models using smartwatch physiological signals and participant self-reports.

Computer methods and programs in biomedicine
Recent advances in wearable technology have facilitated the non-obtrusive monitoring of physiological signals, creating opportunities to monitor and predict stress. Researchers have utilized machine learning methods using these physiological signals ...

Development of a Wearable Camera and AI Algorithm for Medication Behavior Recognition.

Sensors (Basel, Switzerland)
As many as 40% to 50% of patients do not adhere to long-term medications for managing chronic conditions, such as diabetes or hypertension. Limited opportunity for medication monitoring is a major problem from the perspective of health professionals....

Development and validation of smartwatch-based activity recognition models for rigging crew workers on cable logging operations.

PloS one
Analysis of high-resolution inertial sensor and global navigation satellite system (GNSS) data collected by mobile and wearable devices is a relatively new methodology in forestry and safety research that provides opportunities for modeling work acti...

Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis.

IEEE journal of biomedical and health informatics
Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention interventions are not often prescribed until after a fall has been reported to a healthcare provider. While still nascent, objective fall risk assessments...

Is machine learning and automatic classification of swimming data what unlocks the power of inertial measurement units in swimming?

Journal of sports sciences
Researchers have heralded the power of inertial sensors as a reliable swimmer-centric monitoring technology, however, regular uptake of this technology has not become common practice. Twenty-six elite swimmers participated in this study. An IMU (100H...