A wearable smart wristband that continuously measures blood flow at the wrist may be able to detect cardiac arrest and automatically trigger emergency alerts, according to findings from the DETECT-1b study published in the journal Circulation: Arrhythmia and Electrophysiology. Researchers at Radboud University Medical Center found that the technology detected shockable cardiac arrest events with 92% sensitivity during controlled clinical procedures in patients with ventricular arrhythmias. The findings are an early indication that monitoring the condition via a wearable device technology could eventually help reduce delays in providing care for out-of-hospital cardiac arrest by automatically alerting emergency medical systems or nearby responders.
“Our findings are important because many out-of-hospital cardiac arrests are unwitnessed. A smart technology wristband capable of automatically detecting cardiac arrest and triggering an alert could function as a digital witness,” said senior author Judith Bonnes, MD, PhD, a cardiologist at Radboud University Medical Center in the Netherlands. “With the device automatically notifying emergency services or nearby trained responders, help could arrive sooner, which may significantly improve survival chances.”
The DETECT-1b study was designed to evaluate a medically certified smart wristband that uses a light-based sensing method called photoplethysmography (PPG) that is capable of measuring blood flow changes in the wrist. The wearable device, called CardioWatch, continuously monitored pulse-related blood flow signals during procedures in which dangerous heart rhythms were intentionally induced under controlled conditions in people known to have abnormal heart rhythms.
The research is a follow-on of the DETECT-1a study. “In the DETECT-1a, we developed a wrist-derived photoplethysmography (PPG) algorithm for cardiac arrest detection using patient data from induced short-lasting circulatory arrests, achieving 98% sensitivity,” the researchers wrote.
DETECT-1b was developed as a prospective multicenter validation study involving adults undergoing ventricular tachycardia ablation or subcutaneous implantable cardioverter-defibrillator implantation. During these procedures, pulseless ventricular tachycardia or ventricular fibrillation was induced briefly to test cardiac function and device response. While this was occurring, the researchers recorded electrocardiogram and invasive blood pressure measurements as reference standards while patients wore the CardioWatch.
The study enrolled 49 adults in the Netherlands. Participants had a median age of 66 years, 84% were men, and many had existing cardiovascular disease. Seven participants had a prior history of cardiac arrest, 69% had experienced myocardial infarction, and approximately half had moderately or severely reduced left ventricular function.
For this study, the researchers evaluated 125.5 hours of data from the wristbands of the participant and identified 59 shockable cardiac arrest events among 26 patients. Fifty of the identified events were pulseless ventricular tachycardia and nine involved ventricular fibrillation. The algorithm detected 92% of all cardiac arrest events overall, including 100% of ventricular fibrillation episodes and 90% of pulseless ventricular tachycardia events.
“This is the first external validation in patients of a wearable-based cardiac arrest detection model, demonstrating that wrist-derived PPG reliably detects shockable cardiac arrest, with 100% sensitivity for VF,” the researcher wrote.
The algorithm developed to detect these events works by continuously monitoring the amplitude of PPG signals collected at the wrist. When signal amplitude decreases, the embedded algorithm evaluates signal quality to determine whether pulse-related peaks remain detectable. If pulse signals disappear, the algorithm triggers a cardiac arrest alarm.
The researchers also uncovered a number of false-positive alerts. Thirty-three alerts occurred in the absence of pulseless ventricular tachycardia or ventricular fibrillation. Nevertheless, of the 33 alert, 24 occurred during hemodynamically tolerated ventricular tachycardia and were considered clinically relevant. In total, nine of the alerts from 125.5 hours of monitoring were classified as false positives.
Lead study author Roos Edgar, a technical physician at Radboud, noted that the technology differs from prior cardiac arrest detection methods because the wrist-based design allows continuous monitoring during routine daily life. While many commercially available smart watches contain similar PPG sensors, they are not equipped to detect cardiac arrest.
The technology has the potential to be used for patients at elevated risk for cardiac arrest, including patients with ventricular arrhythmias or implantable cardioverter-defibrillators. The researchers said future deployment could also involve directly integrating the wristband’s alerts with emergency dispatch systems.
“The goal is to connect the wristband to emergency dispatch centers and volunteer responder networks in the Netherlands so that nearby rescuers and ambulance services can be alerted immediately when cardiac arrest is detected,” Bonnes said.
Future studies are expected to evaluate how the system performs during everyday activities, exercise and sleep, conditions that may create additional signal noise and complicate detection.
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