Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors
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 supraven...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-12-01
|
| Series: | Cardiovascular Digital Health Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666693621001158 |
| _version_ | 1819179139803906048 |
|---|---|
| author | Thomas Hilbel, MD, Dipl. Inform. (FH) Taha Alhersh, PhD Wolfram Stein, PhD Leon Doman, BSc Jobst-Hendrik Schultz, MD, MME |
| author_facet | Thomas Hilbel, MD, Dipl. Inform. (FH) Taha Alhersh, PhD Wolfram Stein, PhD Leon Doman, BSc Jobst-Hendrik Schultz, MD, MME |
| author_sort | Thomas Hilbel, MD, Dipl. Inform. (FH) |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T21:53:42Z |
| format | Article |
| id | doaj.art-c4454390ef62488d96ba4497048ea778 |
| institution | Directory Open Access Journal |
| issn | 2666-6936 |
| language | English |
| last_indexed | 2024-12-22T21:53:42Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cardiovascular Digital Health Journal |
| spelling | doaj.art-c4454390ef62488d96ba4497048ea7782022-12-21T18:11:18ZengElsevierCardiovascular Digital Health Journal2666-69362021-12-0126323330Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendorsThomas Hilbel, MD, Dipl. Inform. (FH)0Taha Alhersh, PhD1Wolfram Stein, PhD2Leon Doman, BSc3Jobst-Hendrik Schultz, MD, MME4Department of Cardiology, University Hospital, Heidelberg, Germany; Department of Biomedical Engineering, University of Applied Sciences, Gelsenkirchen, Germany; Address reprint requests and correspondence: Dr Thomas Hilbel, Heidelberg University Hospital, Department of Cardiology, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany.Department of Cardiology, University Hospital, Heidelberg, GermanyDepartment of Cardiology, University Hospital, Heidelberg, Germany; MED3D GmbH, Heidelberg, GermanyDepartment of Biomedical Engineering, University of Applied Sciences, Gelsenkirchen, GermanyDepartment of General Internal Medicine and Psychosomatics, University Hospital Heidelberg, GermanyBackground: 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.http://www.sciencedirect.com/science/article/pii/S2666693621001158Ambulatory electrocardiographic monitoringBiomedical sensorsCardiac arrhythmiasCardiologyDrug safetyElectrocardiography |
| spellingShingle | Thomas Hilbel, MD, Dipl. Inform. (FH) Taha Alhersh, PhD Wolfram Stein, PhD Leon Doman, BSc Jobst-Hendrik Schultz, MD, MME 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 Ambulatory electrocardiographic monitoring Biomedical sensors Cardiac arrhythmias Cardiology Drug safety Electrocardiography |
| title | Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors |
| title_full | Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors |
| title_fullStr | Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors |
| title_full_unstemmed | Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors |
| title_short | Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors |
| title_sort | analysis and postprocessing of ecg or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors |
| topic | Ambulatory electrocardiographic monitoring Biomedical sensors Cardiac arrhythmias Cardiology Drug safety Electrocardiography |
| url | http://www.sciencedirect.com/science/article/pii/S2666693621001158 |
| work_keys_str_mv | AT thomashilbelmddiplinformfh analysisandpostprocessingofecgorheartratedatafromwearabledevicesbeyondtheproprietarycloudandappinfrastructureofthevendors AT tahaalhershphd analysisandpostprocessingofecgorheartratedatafromwearabledevicesbeyondtheproprietarycloudandappinfrastructureofthevendors AT wolframsteinphd analysisandpostprocessingofecgorheartratedatafromwearabledevicesbeyondtheproprietarycloudandappinfrastructureofthevendors AT leondomanbsc analysisandpostprocessingofecgorheartratedatafromwearabledevicesbeyondtheproprietarycloudandappinfrastructureofthevendors AT jobsthendrikschultzmdmme analysisandpostprocessingofecgorheartratedatafromwearabledevicesbeyondtheproprietarycloudandappinfrastructureofthevendors |