Title :
Lead quality monitoring for detection of the Optimal Snapshot Time to record resting ECG
Author :
Jekova, Irena ; Leber, Remo ; Krasteva, Vessela ; Schmid, Ramun ; Abacherli, Roger
Author_Institution :
Inst. of Biophys. & Biomed. Eng., Sofia, Bulgaria
Abstract :
This study presents a multichannel ECG quality monitoring system, which continuously scans the leads´ status (valid/lead-off) and quality (0-100%), according to the ECG components in the low, medium and high frequency bands. The system aims to detect the optimal moment to start the record of a 10s resting ECG within the 1st minute of signal acquisition - the earliest in time, the best in all leads´ quality, named `Optimal Snapshot Time´ (OST) and `Best Snapshot Quality´ (BestSQ). The system compares the current leads´ quality to an adaptive quality threshold (AQT) whose decreasing trend is trained on 375 ECGs. The validation over 267 ECGs in the test database shows that: 87.2% of the ECGs would be recorded with a quality ≥ 95%BestSQ; 33.1% at the optimal moment OST±2.5s; 29.3% would be started earlier due to their sufficient quality >AQT; 37.2% would be recorded with a delay >2.5s due to their compromised BestSQ, not reaching the AQT level in the vicinity of OST.
Keywords :
electrocardiography; medical signal detection; medical signal processing; patient monitoring; AQT; BestSQ; OST; adaptive quality threshold; best snapshot quality; lead quality monitoring; multichannel ECG quality monitoring system; optimal snapshot time detection; resting ECG recording; Abstracts; Databases; Electrocardiography; Lead; Market research; Monitoring; Training;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
Print_ISBN :
978-1-4799-4346-3