A 2016 study found that heart disease is the leading cause of death worldwide, accounting for 26.7% of deaths. It is important to regularly monitor vital signs, such as heart rate, to counteract this trend. Thanks to technological advancement, wearable devices such as smartwatches allow new and real-time monitoring of vital signs, providing health information and supporting average personnel decisions. Between wearable devices, The heart holter is used to monitor the heartbeat for a period of time ranging from 24 to 48 hours. The collected data is then analysed and used for diagnosis by a specialist. The purpose of the study is to evaluate the accuracy and accuracy of a wireless electrocardiograph called WECG, comparing it with a reference electrocardiograph known as ADI. The analysis focuses on the evaluation of heart rate values obtained by both instruments. In the experimental phase, the electrocardiograms of 10 subjects were recorded, positioned supine and completely relaxed. The signals were captured simultaneously by both instruments and then processed using MATLAB. Appropriate filters were applied to the recordings and R peaks were detected using the Pan-Tompkins algorithm. For each recording the heart rate for the first and second derivation was extracted and a statistical analysis was then carried out, calculating the mean value and the standard deviation, the 95% confidence interval and the Pearson correlation coecient. The results show that WECG provides an accurate estimate of heart rate (derivation I: bias= -0.23 bpm, derivation II: bias=0.06), with good accuracy (deri- ation I: standard deviation=0.54 bpm, derivation II: standard deviation=0.53 bpm) and high correlation with reference values (Pearson correlation coecient: 0.99 for WECG and ADI).
Uno studio del 2016 ha rilevato che le problematiche cardiache rappresentano la principale causa di morte nel mondo, corrispon- dendo al 26,7% dei decessi. È importante monitorare regolarmente i parametri vitali, come la frequenza cardiaca, per contrastare questa tendenza. Grazie all’avanzamento tecnologico, i dispositivi indossabili come gli smartwatch consentono il monitoraggio conti- nuo e in tempo reale dei parametri vitali, fornendo informazioni sullo stato di salute e supportando le decisioni del personale medi- co. Tra i dispositivi indossabili, l’holter cardiaco viene utilizzato per monitorare il battito cardiaco per un periodo di tempo che varia dalle 24 alle 48 ore. I dati raccolti vengono successivamente analizzati e utilizzati per la diagnosi da parte di uno specialista. Lo scopo dello studio condotto è quello di valutare l’accuratezza e la precisione di un elettrocardiografo wireless chiamato WECG, confrontandolo con un elettrocardiografo di riferimento noto co- me ADI. L’analisi si concentra sulla valutazione dei valori della frequenza cardiaca ottenuti da entrambi gli strumenti. Nella fase sperimentale, sono stati registrati gli elettrocardiogrammi di 10 soggetti, posizionati in posizione supina e completamente rilassati. I segnali sono stati acquisiti contemporaneamente da entrambi gli strumenti e successivamente sono stati elaborati utilizzando MATLAB. Sono stati applicati opportuni filtri alle registrazioni e sono stati individuati i picchi R utilizzando l’algoritmo di Pan- Tompkins. Per ogni registrazione è stata estratta la frequenza cardiaca per la prima e la seconda derivazione ed è stata quindi condotta un’analisi statistica, calcolando il valore medio e la deviazione standard, l’intervallo di confidenza al 95% e il coeciente di correlazione di Pearson. I risultati mostrano che WECG fornisce una stima accurata della frequenza cardiaca (derivazione I: bias= -0,23 bpm, derivazione II: bias=0,06), con buona precisione (deri- vazione I: standard deviation=0,54 bpm, derivazione II: standard deviation=0,53 bpm) e alta correlazione con i valori di riferimento (Coeciente di correlazione di Pearson: 0,99 per WECG e ADI).
Sviluppo di un sistema senza fili di misura ed analisi di dati elettrocardiografici
BULLO, LINDA
2021/2022
Abstract
A 2016 study found that heart disease is the leading cause of death worldwide, accounting for 26.7% of deaths. It is important to regularly monitor vital signs, such as heart rate, to counteract this trend. Thanks to technological advancement, wearable devices such as smartwatches allow new and real-time monitoring of vital signs, providing health information and supporting average personnel decisions. Between wearable devices, The heart holter is used to monitor the heartbeat for a period of time ranging from 24 to 48 hours. The collected data is then analysed and used for diagnosis by a specialist. The purpose of the study is to evaluate the accuracy and accuracy of a wireless electrocardiograph called WECG, comparing it with a reference electrocardiograph known as ADI. The analysis focuses on the evaluation of heart rate values obtained by both instruments. In the experimental phase, the electrocardiograms of 10 subjects were recorded, positioned supine and completely relaxed. The signals were captured simultaneously by both instruments and then processed using MATLAB. Appropriate filters were applied to the recordings and R peaks were detected using the Pan-Tompkins algorithm. For each recording the heart rate for the first and second derivation was extracted and a statistical analysis was then carried out, calculating the mean value and the standard deviation, the 95% confidence interval and the Pearson correlation coecient. The results show that WECG provides an accurate estimate of heart rate (derivation I: bias= -0.23 bpm, derivation II: bias=0.06), with good accuracy (deri- ation I: standard deviation=0.54 bpm, derivation II: standard deviation=0.53 bpm) and high correlation with reference values (Pearson correlation coecient: 0.99 for WECG and ADI).File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12075/13407