Search Results for: Wearable Electronic Devices

February 22, 2025February 22, 2025

Usage Trends and Data Sharing Practices of Healthcare Wearable Devices Among US Adults: Cross-Sectional Study.

Publication date: Feb 21, 2025 Health care wearable devices can transform health care delivery by enabling real-time, continuous monitoring that facilitates early disease detection, personalized treatments, and improved patient engagement. ... Read more

February 13, 2025February 13, 2025

From fingers to toes, wearable and vibrating technology could help Parkinson’s patients

Parkinson's Disease News

Publication date: Feb 11, 2025 The new technology could help Parkinson’s patients, as well as people with other peripheral nervous system impairments, improve their gait, balance and motor skills. The ... Read more

February 8, 2025February 8, 2025

Detecting Freezing of Gait in Parkinson Disease Using Multiple Wearable Sensors Sets During Various Walking Tasks Relative to Medication Conditions (DetectFoG): Protocol for a Prospective Cohort Study.

Parkinson's Disease Literature

Publication date: Feb 06, 2025 Freezing of gait (FoG) is one of the most disabling symptoms of Parkinson disease (PD). Detecting and monitoring episodes of FoG are important in the ... Read more

February 3, 2025February 3, 2025

A synchronized event-cue feedback loop integrating a 3D printed wearable flexible sensor-tactor platform.

Parkinson's Disease Literature

Publication date: Apr 01, 2025 Wearable devices designed for the somatosensory system aim to provide event-cue feedback electronics and therapeutic stimulation to the peripheral nervous system. This prompts a neurological ... Read more

January 23, 2025January 23, 2025

Eco-sustainable point-of-care devices: Progress in paper and fabric based electrochemical and colorimetric biosensors.

Coronavirus Literature

Publication date: Apr 01, 2025 Monitoring real-time health conditions is a rinsing demand in a pandemic prone era. Wearable Point-of-Care (POC) devices with paper and fabric-based sensors are emerging as ... Read more

January 14, 2025January 14, 2025

Wearable, self-administered transcranial photobiomodulation for major depressive disorder and sleep: A randomized, double blind, sham-controlled trial.

Major Depressive Disorder Literature

Publication date: Mar 01, 2025 Device-based treatments exist in psychiatry for decades, but are usually operated by clinicians and require multiple office visits. Near-infrared transcranial photobiomodulation (tPBM) is a safe ... Read more

January 4, 2025January 4, 2025

Wearable electrodriven switch actively delivers macromolecular drugs to fundus in non-invasive and controllable manners.

Melanoma Literature

Publication date: Jan 02, 2025 Current treatments for fundus disorders, such as intravitreal injections, pose risks, including infection and retinal detachment, and are limited in their ability to deliver macromolecular ... Read more

December 28, 2024December 28, 2024

Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study.

Coronavirus Literature

Publication date: Dec 26, 2024 Telehealth programs and wearable sensors that enable patients to monitor their vital signs have expanded due to the COVID-19 pandemic. The electronic National Early Warning ... Read more

December 27, 2024December 27, 2024

Wearable Surface Electromyography System to Predict Freeze of Gait in Parkinson’s Disease Patients.

Parkinson's Disease Literature

Publication date: Dec 09, 2024 Freezing of gait (FOG) is a disabling yet poorly understood paroxysmal gait disorder affecting the vast majority of patients with Parkinson’s disease (PD) as they ... Read more

March 21, 2025March 21, 2025

Multi-Scale and Multi-Level Feature Assessment Framework for Classification of Parkinson’s Disease State From Short-Term Motor Tasks.

Parkinson's Disease Literature

Publication date: Apr 01, 2025 Recent quantification research on Parkinson’s disease (PD) integrates wearable technology with machine learning methods, indicating a strong potential for practical applications. However, the effectiveness of ... Read more