Application of an electrocardiography device ( iECG ) for heart rhythm analysis after exercise in Thoroughbred horses

Author(s):  
LC Nath ◽  
G Forbes ◽  
AD Elliott ◽  
V Tomren ◽  
A Ryan ◽  
...  
JAMA ◽  
1973 ◽  
Vol 226 (11) ◽  
pp. 1362
Author(s):  
Massimo Calabresi
Keyword(s):  

2021 ◽  
Vol 62 (08) ◽  
pp. 415-423 ◽  
Author(s):  
SH Lim ◽  
TS Chee ◽  
FC Wee ◽  
SH Tan ◽  
JH Loke ◽  
...  

Basic Cardiac Life Support and Automated External Defibrillation (BCLS+AED) refers to the skills required in resuscitating cardiac arrest casualties. On recognising cardiac arrest, the rescuer should call for ‘995’ for Emergency Ambulance and immediately initiate chest compressions. Good-quality chest compressions are performed with arms extended, elbows locked, shoulders directly perpendicular over the casualty’s chest, and the heel of the palm placed on the lower half of the sternum. The rescuer compresses hard and fast at 4–6 cm depth for adults at a compression rate of 100–120 per minute, with complete chest recoil after each compression. Two quick ventilations of 400–600 mL each can be delivered via a bag-valve-mask after every 30 chest compressions. Alternatively, a trained, able and willing rescuer can provide mouth-to-mouth ventilation. Cardiopulmonary resuscitation should be stopped only when the casualty wakes up, the emergency team takes over care, or when an automated external defibrillator prompts for heart rhythm analysis or delivery of a shock.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Edvard Liljedahl Sandberg ◽  
Bjørnar Leangen Grenne ◽  
Trygve Berge ◽  
Jostein Grimsmo ◽  
Dan Atar ◽  
...  

Background. Heart rhythm disorders, especially atrial fibrillation (AF), are increasing global health challenges. Conventional diagnostic tools for assessment of rhythm disorders suffer from limited availability, limited test duration time, and usability challenges. There is also a need for out-of-hospital investigation of arrhythmias. Therefore, the Norwegian ECG247 Smart Heart Sensor has been developed to simplify the assessment of heart rhythm disorders. The current study aimed to evaluate the diagnostic accuracy and usability of the ECG247 Smart Heart Sensor compared to conventional Holter monitors. Methods. Parallel tests with ECG247 Smart Heart Sensor and a Holter monitor were performed in 151 consecutive patients referred for out-of-hospital long-term ECG recording at Sorlandet Hospital Arendal, Norway. All ECG data were automatically analysed by both systems and evaluated by hospital physicians. Participants were asked to complete a questionnaire scoring usability parameters after the test. Results. A total of 150 patients (62% men, age 54 (±17) years) completed the study. The ECG quality from both monitors was considered satisfactory for rhythm analysis in all patients. AF was identified in 9 (6%) patients during the period with parallel tests. The diagnostic accuracy for automatic AF detection was 95% (95% CI 91–98) for the ECG247 Smart Heart Sensor and 81% (95% CI 74–87) for the Holter system. The proportion of false-positive AF was 4% in tests analysed by the ECG247 algorithm and 16% in tests analysed by the Holter algorithm. Other arrhythmias were absent/rare. The system usability score was significantly better for ECG247 Smart Heart Sensor compared to traditional Holter technology (score 87.4 vs. 67.5, p < 0.001 ). Conclusions. The ECG247 Smart Heart Sensor showed at least comparable diagnostic accuracy for AF and improved usability compared to conventional Holter technology. ECG247 allows for prolonged monitoring and may improve detection of AF. This trial is registered with https://clinicaltrials.gov/ct2/show/NCT04700865.


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