We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Events

27 Jan 2025 - 30 Jan 2025
15 Feb 2025 - 17 Feb 2025

First and Only Technology Uses Smartphone to Detect Heart Disease in One Minute at POC

By HospiMedica International staff writers
Posted on 25 Jan 2024
Print article
Image: A patented technology utilizes motion sensors to detect signs of heart disease (Photo courtesy of 123RF)
Image: A patented technology utilizes motion sensors to detect signs of heart disease (Photo courtesy of 123RF)

Atrial fibrillation, the most common cardiac arrhythmia, is symptomless in about 40% of patients. Even without symptoms, untreated atrial fibrillation can significantly increase the risk of stroke, heart failure, and death. Traditional detection methods, like ECG recordings in medical facilities, often miss atrial fibrillation due to its intermittent nature. This leads to a majority of cases remaining undiagnosed until severe complications, such as strokes, occur. Now, a groundbreaking technology can detect several major heart diseases with high accuracy using just a single clinical modality, without the need for specialized medical equipment.

CardioSignal’s (Turku, Finland) technology utilizes motion data from smartphone gyroscopes and accelerometers to monitor specific rotational movements of the heart. This innovative approach enables the precise detection of abnormal heart functions. The process involves placing a smartphone on the patient’s chest for one minute to gather data. A clinically validated algorithm then analyzes the motion data in a secure cloud service, delivering immediate results. The CardioSignal technology offers a non-invasive, accurate one-minute measurement for detecting atrial fibrillation signs. When atrial fibrillation indicators are found in two consecutive measurements, patients can be promptly referred for an ECG.

This method is patient-friendly, requiring no skin contact and offering comfort during the measurement. Early detection of atrial fibrillation in various healthcare settings, including clinics, pharmacies, and hospitals, can lead to timely medical intervention. Currently, CardioSignal's technology can generate digital biomarkers for atrial fibrillation and heart failure, validated in clinical studies, with further research underway to expand its capabilities to include detection of aortic stenosis, coronary artery disease, and pulmonary artery hypertension.

“Currently, primary care has very limited tools to detect heart diseases, like heart failure patients who are often already experiencing symptoms,” said cardiologist Dr. Juuso Blomster, founder and CEO of CardioSignal. “We can support the shift in cardiovascular care from treating complications to earlier detection and prevention.”

New
Gold Member
X-Ray QA Meter
T3 AD Pro
Gold Member
12-Channel ECG
CM1200B
New
Mobile Barrier
Tilted Mobile Leaded Barrier
New
Plasma Freezer
iBF125-GX

Print article

Channels

Surgical Techniques

view channel
Image: The surgical team and the Edge Multi-Port Endoscopic Surgical Robot MP1000 surgical system (Photo courtesy of Wei Zhang)

Endoscopic Surgical System Enables Remote Robot-Assisted Laparoscopic Hysterectomy

Telemedicine enables patients in remote areas to access consultations and treatments, overcoming challenges related to the uneven distribution and availability of medical resources. However, the execution... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.