We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Autonomous Drones Deliver Defibrillators in Sweden

By HospiMedica International staff writers
Posted on 25 May 2020
Print article
Image: An Everdrone delivering its AED over Gothenburg (Photo courtesy of Everdrone)
Image: An Everdrone delivering its AED over Gothenburg (Photo courtesy of Everdrone)
An innovative drone system delivers automated external defibrillators (AEDs) to the scene of cardiac arrests, helping bystanders initiate life-saving measures while awaiting professional medical care.

Developed by Everdrone (Säve, Sweden), the AED drone system is now available to more than 80,000 residents in the Gothenburg area of Sweden as part of a clinical study being held in collaboration with national emergency call center SOS Alarm (Stockholm, Sweden) and the Centre for Resuscitation Science at the Karolinska Institutet (KI; Solna, Sweden). The study, which will launch in June 2020, will run through the end of September 2020. Outcomes will be continuously evaluated by KI.

During the study period, three drone systems will be placed in designated locations, ready to respond to emergency 112-calls occurring within a radius of six kilometers. Obstacle avoidance functionality is built on Intel RealSense technology, intelligent route planning is built-in to significantly reduce flight time over people, and an onboard parachute system is designed to mitigate risk in the case of a bird strike or critical propulsion failure. When the drone arrives at the designated location, the AED will be lowered to the ground while the drone remains hovering in place at 30 meters altitude.

“The collaboration with SOS Alarm and KI has been absolutely crucial for the realization of the concept in terms of being able to perform a swift alarm response, and to manage the medical and ethical issues involved,” said Mats Sällström, CEO of Everdrone. “The method of lowering the defibrillator from the drone with the help of a winch is something we have been developing and testing for a long time. We have performed countless test deliveries in recent months, and the results show that the method works very well.”

"In the event of a cardiac arrest, the drone is dispatched at the same time as the ambulance and will certainly be the first to arrive on the scene. Our operators are ready to instruct bystanders on how to initiate the life-saving device," said Mattias Regnell, head of innovation and research at SOS Alarm.

An AED is a portable electronic device that automatically diagnoses the potentially life threatening cardiac arrhythmias of ventricular fibrillation and ventricular tachycardia (VT) and is able to treat them through defibrillation, the application of electrical therapy which stops the arrhythmia, allowing the heart to reestablish an effective rhythm.

Related Links:
Everdrone
SOS Alarm
Centre for Resuscitation Science at the Karolinska Institutet


Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Ultrasonic Cleaner
Cole-Parmer Ultrasonic Cleaner with Digital Timer
New
Transcatheter Heart Valve
SAPIEN 3 Ultra

Print article

Channels

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.