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

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...