Developing A Smartwatch To Detect Unwitnessed Outofhospital Cardiac Arrests
The University of Twente and its partners are developing a smart wearable device to automatically and reliably detect out-of-hospital cardiac arrest (OHCA) and provide immediate emergency care. The UT (Medical Technical Center) will test the effectiveness of the proposed platform using simulation models and measure its impact on survival and response time. The study was published in the journal Resuscitation Plus .
Around 17,000 people suffer an out-of-hospital cardiac arrest (OHCA) in the Netherlands every year. Many die or have bad neurological consequences (uncontrolled cardiac arrest) because the emergency services (EMS) are not called or are called too late.
lecturer dr UT's Deria Demirtas explains its state-of-the-art solution: “We offer a technical solution for the automatic and reliable detection of OHCA and immediate emergency response. Our solution will drastically reduce the time it takes to perform cardiopulmonary resuscitation (CPR), saving thousands of lives each year and improving neurological outcomes. »
Artificial intelligence
“We are developing an open-source cardiac arrest detection algorithm based on photoplethysmography (PPG) signals and commercial smartwatches. PPG is a well-known medical technology. It can continuously monitor heart rate and oxygen saturation.”
“By measuring changes in light absorption during a heartbeat-induced pulsatile hemorrhage. Clinical experience and pilot data show that PPG can reliably detect the absence of pulsatile blood flow. Additional sensors, including accelerometer and GPS, improve diagnostic accuracy and provide important information about it. .."
Device independent interface
“We provide a device-independent interface (“engine block”) between cardiac arrest detection technology and the HartslagNu civil rescue system and medical emergency centers. As part of the engine block, we are developing the HeartSafe app. See – audible warning to users and false alarms. Provides a stop button to cancel the alarm."
“The engine block also offers GDPR-compliant profile storage, providing emergency responders with basic medical information and additional information needed to access a patient. Technical developments are accompanied by extensive research. User research, research signal data collection, field lab and simulation Research will be conducted to understand user needs, train the AI algorithm, evaluate the technology and assess its impact on survival and quality of life. .
Citation : Smartwatch developed to detect cardiac arrests outside of the hospital (November 25, 2022) Retrieved on November 26, 2022 from https://medicalxpress.com/news/2022-11-smartwatch-unwitnessed-out-of-hospital-. . heart.html
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