HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

New Algorithm Increases Resuscitation Effectiveness

By HospiMedica International staff writers
Posted on 29 Mar 2018
Print article
Image: Dr. Digna María González-Otero (R) and colleagues testing the algorithm on a mannequin model (Photo courtesy of UPV/EHU).
Image: Dr. Digna María González-Otero (R) and colleagues testing the algorithm on a mannequin model (Photo courtesy of UPV/EHU).
A new study describes how an algorithm that accurately computes the frequency and depth of chest compressions can improve the quality of cardiopulmonary resuscitation (CPR).

Developed at the University of the Basque Country (UPV/EHU; Vizcaya, Spain), the algorithm uses a CPR feedback device in order to compute both acceleration and compression signals during CPR in patients with cardiorespiratory arrest. In a validation study of the algorithm, the depth and rate values during actual CPR were estimated every two seconds from the acceleration data in order to guide compressions at the appropriate frequency of 100-120 compressions per minute (CPM) and at a depth between 5 and 6 cm.

The researchers also conducted a further study to assess the performance of the algorithm in terms of sensitivity and positive predictive value (PPV) for detecting compressions, and in terms of its accuracy through the analysis of measurement error. The results showed that the algorithm reported a global sensitivity of 99.98% and a PPV of and 99.79%. The median unsigned error in depth was just 0.9 mm, and the median unsigned error in compression rate was 1 CPM. The study was published on February 14, 2018, in PLOS One.

“The device functions when it is connected to the defibrillator, which tells the rescuer whether he/she has to press harder, work faster, etc.,” said app developer and lead author Digna María González-Otero, PhD. “We could say that it is a straightforward, intuitive accessory of the defibrillator and which is geared, above all, towards the emergency services. In fact, some emergency services are already using it to validate its use in actual patients, to see whether it works as expected, whether it is convenient for the rescuer, whether it meets expectations, etc.”

People suffering from a nonshockable out-of-hospital cardiac arrest (OHCA) are likelier to survive if given CPR. The 2010 American Heart Association (AHA) guidelines for hands-only CPR call for at least 100 chest compressions per minute for at least two minutes, at a depth of at least five centimeters in the center of the victim's chest.

Related Links:
University of the Basque Country

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
12-Channel ECG
CM1200B
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Illuminator
Trimline Basic

Print article

Channels

Surgical Techniques

view channel
Image: The multi-sensing device can be implanted into blood vessels to help physicians deliver timely treatment (Photo courtesy of IIT)

Miniaturized Implantable Multi-Sensors Device to Monitor Vessels Health

Researchers have embarked on a project to develop a multi-sensing device that can be implanted into blood vessels like peripheral veins or arteries to monitor a range of bodily parameters and overall health status.... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... 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 Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more