Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors

Cardiovascular Digital Health Journal

Wolfram Stein, PhD¹  Taha Alhersh, PhD²  Thomas Hilbel, MD, Dipl. Inform. (FH)³  Jobst-Hendrik Schultz, MD, MME³  Leon Doman, BSc³ 

[1] Address reprint requests and correspondence: Dr Thomas Hilbel, Heidelberg University Hospital, Department of Cardiology, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany.;Department of Biomedical Engineering, University of Applied Sciences, Gelsenkirchen, Germany;Department of Cardiology, University Hospital, Heidelberg, Germany;

关键词: Ambulatory electrocardiographic monitoring;    Biomedical sensors;    Cardiac arrhythmias;    Cardiology;    Drug safety;    Electrocardiography;   

DOI  :  

来源: DOAJ

【 摘 要 】

Background: The impact of medical-grade wearable electrocardiographic (ECG) recording technology is increasing rapidly. A wide range of different portable smartphone-connected ECG and heart rate trackers is available on the market. Smart ECG devices are especially valuable to monitor either supraventricular arrhythmias or prolonged QT intervals to avoid drug-induced life-threatening arrhythmias. However, frequent false alarms or false-positive arrhythmia results from wearable devices are unwanted. Therefore, for clinical evaluation, it should be possible to measure and evaluate the biosignals of the wearables independent of the manufacturer. Objective: Unlike radiological devices that do support the universal digital imaging and communications in medicine standard, these medical-grade devices do not yet support a secure standardized exchange pathway between sensors, smartphones/smartwatches, and end services such as cloud storage or universal Web-based application programming interface (API) access. Consequently, postprocessing of recorded ECGs or heart rate interval data requires a whole toolbox of customized software technologies. Methods/Results: Various methods for measuring and analyzing nonstandardized ECG and heart rate data are proposed, including online measurement of ECG waveforms within a PDF, access to data using manufacturer-specific software development kits, and access to biosignals using modern Web APIs. Conclusion: With the appropriate workaround, modern software technologies such as JavaScript and PHP allow health care providers and researchers to easily and instantly access necessary and important signal measurements on demand.

【 授权许可】

Unknown