Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Gel-Free ECG System to Transform Heart Health Diagnosis

By HospiMedica International staff writers
Posted on 17 Dec 2025

Electrocardiogram monitoring is essential for detecting heart rhythm disorders, yet current systems rely on disposable gel-based electrodes that can dry out, fall off, and generate significant medical waste. More...

The process is often uncomfortable for patients and requires manual interpretation by clinicians, slowing diagnosis and limiting long-term monitoring. Now, a new wearable approach has demonstrated that heart signals can be captured comfortably, reused safely, and analyzed automatically to support faster and more accessible arrhythmia detection.

The system, developed by researchers at Simon Fraser University (Burnaby, BC, Canada), integrates reusable dry electrodes produced through 3D printing and embedded into a soft, adjustable chest belt intended for extended wear. Each electrode uses an origami-inspired suction structure that gently adheres to the skin without adhesives. Carbon-based conductive ink replaces traditional electrolyte gel, transmitting cardiac electrical signals to a wearable unit equipped with artificial intelligence (AI) software capable of pre-screening multiple types of heart rhythm abnormalities.

Evaluation of the technology showed that the dry electrodes performed with accuracy comparable to conventional gel-based ECG sensors while improving ease of use and patient comfort. In findings published in Biosensors and Bioelectronics, nurses reported that the belt-based system could improve compliance during long-term monitoring, which is typically performed using bulky Holter monitors. If an electrode loses contact, users can simply press the origami structure to restore suction rather than replacing patches or reapplying gel.

With arrhythmias expected to affect one in three people globally and atrial fibrillation rates projected to rise sharply, the system could support scalable and personalized heart monitoring. Its reusable design may reduce waste and costs while enabling deployment in emergency rooms, hospital wards, senior care facilities, and remote or underserved communities. The team plans to further refine the AI algorithm and reduce the physical size of the electrode to improve wearability. Future iterations are expected to enhance early detection and remote sharing of results with physicians for confirmation.

“Current ECG testing relies on single-use sticky patches and gel, which can dry out and fall off, and then the data must be manually interpreted by a doctor,” said Professor Woo Soo Kim, who led the research. “Our dry electrodes are just as accurate as gel-based sensors, but they’re more comfortable for patients, easier to use, and they can be sanitized and reused to significantly reduce waste.”

Related Links:
Simon Fraser University 


Gold Member
12-Channel ECG
CM1200B
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Wound Irrigation Solution
Prontosan®
Medical Examination & Procedure Light
Vega 80
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Surgical Techniques

view channel
Image: Researchers developed a handheld photothermal mid-infrared spectroscopic imaging (MIRSI) system that measures just 8 square inches. Probe light from a visible (red) diode laser and pump light from a modulated quantum cascade laser (QCL) are coupled into optical fibers and delivered to a flexible, handheld imager (blue dashed box). The beams are combined at a short-pass dichroic mirror and focused onto the sample using an off-axis parabolic mirror (OAP). (Image Credit:Rohith Reddy, University of Houston)

Handheld Infrared Imaging Device Supports Tumor Margin Assessment During Surgery

Accurately determining tumor margins during surgery remains challenging. Frozen-section pathology takes time and can miss residual disease, potentially leading to repeat surgery and delayed therapy.... Read more

Point of Care

view channel
Image Credit: 123RF

Continuous Glucose Monitoring Identifies Cardiometabolic Risk in Adults Without Diabetes

Dysglycemia—abnormal blood glucose regulation—can fluctuate throughout the day and often escape conventional screening. Clinicians typically rely on fasting plasma glucose and hemoglobin A1c, which offer... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.