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

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...