Clinical Study Confirms Effectiveness of CardioSecur® in Pre-Clinical Deployment in Ambulances

CardioSecurThe study "CardioSecur® in the preclinical setting - When time does matter" of the University of Heidelberg confirms the advantages of the mobile ECG in acute cases. This was demonstrated by applying CardioSecur during a period of more than 7 months in ambulances in the area of Heidelberg, Germany.

85.7 % of participating emergency physicians stated that CardioSecur's 4 electrode system was much faster and easier to position in emergency situations and would prefer using it over a conventional 12-lead ECG. Additionally, CardioSecur's 22-leads provide more data (12 leads + V7-9, VR3-VR9) than a standard ECG. The 360° view of the heart enables more comprehensive diagnoses, for example of a posterior myocardial infarction, and can be vital in acute situations. Consequently, the study confirms the efficiency of CardioSecur in time-critical preclinical settings. The system also significantly reduces the risk of electrode misplacement in obese patients and women.

Time plays a crucial role in patients with suspected acute coronary syndrome, as the heart muscle begins to die off only 20 - 60 minutes after the coronary vessel’s blood supply has ceased. During the so-called "golden hour" immediate action is essential to minimize heart muscle damage and optimize patient recovery. Conventional 12 lead ECG systems require 10 electrodes and their placement affects the quality of the ECG significantly. Placement of the 6 chest leads can be particularly complex and time-consuming due to very different body anatomies. CardioSecur’s 4 electrode based 22-lead ECG is faster and easier to position, while also providing more data to detect posterior, lateral and anterior myocardial infarctions.

"Currently, 12-lead ECG systems provide insufficient data to detect posterior myocardial infarctions because in practice the electrodes are rarely placed on the patient's back - even though the ESC guidelines require it," says Felix Brand, founder and CEO of CardioSecur. "The repositioning of the dorsal electrodes also results in an asynchronous ECG (anterior and posterior). CardioSecur is currently the only ECG that meets the cardiological guidelines of the ESC without need for repositioning the electrodes. CardioSecur has already helped to detect posterior myocardial infarctions that were not visible on conventional 12-lead ECGs."

For further information, please visit:
http://www.mobile-ecg.com

About Personal MedSystems GmbH

Personal MedSystems GmbH develops and sells ECG systems and services for private users and healthcare professionals under the name CardioSecur. CardioSecur Active is an innovative, 15-lead, clinical-grade ECG for personal use. In a few seconds, it generates personalized feedback regarding changes in the heart's health and provides a simple recommendation to act regarding whether to see a doctor or not. The entire system consists of a 50g light cable with four electrodes, the complimentary CardioSecur Active App and the user's smartphone or tablet. CardioSecur Pro is the mobile, clinical ECG solution for physicians and medical professionals. CardioSecur Pro operates based upon guidelines from the European Society of Cardiology by providing 22 leads, making a 360° view of the heart possible. It is the only system that thereby recognizes infarctions of the anterior, lateral and posterior walls of the heart.

Most Popular Now

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

Using AI to Treat Infections more Accura…

New research from the Centres for Antimicrobial Optimisation Network (CAMO-Net) at the University of Liverpool has shown that using artificial intelligence (AI) can improve how we treat urinary tract infections...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...