Abstract
Patients’ telemetry deals with remote follow-up of vital parameters and clinical conditions without continuous direct contact between physician and patient. This study presents a telemetry system for real-time monitoring of cardiac patients and investigates its accuracy, reliability and applicability. The system includes personal analyzer (PA) for continuous acquisition and analysis of single-channel electrocardiogram (ECG), central unit and a console for the cardiologist. PA transfers to the central unit 10 s ECG segments on regular basis (5/10/15 min), on demand or when an alarm based on rhythm disorders and/or heartbeat abnormalities is generated.
The ECG telemetry system is tested on 85 hospitalized patients with cardiovascular diseases. In parallel, the patients’ ECGs have been recorded by a Holter device Signa-Lyzer SD. An experienced cardiologist has compared the ECG segments that have provoked an alarm to the respective ECG segments in the Holter recording in order to judge about the correctness (accuracy) of the alarm, as well as has checked the Holter ECG recording for events that are missed by the PA (reliability).
Full correspondence between the PA alarms and the rhythms recorded via the Holter has been observed (100% accuracy). Considering the witnessed Holter events, PA reliably warns for 80.6% of the rhythm disorders. In the remaining 19.4% an alarm is not generated mainly due to the fact that the patients have been out of the telemetry range.
The observed results show that the tested PA could support timely diagnosis, prompt reaction and adequate therapeutic treatment in potentially life-threatening clinical conditions.
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Acknowledgement
This work was supported by the Bulgarian National Science Fund under Grant Ref. No. КП-06-H37/9 “Audio transformation (sonification) of the electrocardiogram – a new approach for remote monitoring of the heart activity” and the European Regional Development Fund within the Operational Programme “Science and Education for Smart Growth 2014–2020” under the Project CoE “National center of mechatronics and clean technologies“ BG05M2OP001-1.001-0008.
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Iliev, I., Jekova, I., Tabakov, S., Koshtikova, K., Runev, N., Manov, E. (2022). High-Risk Cardiac Patients’ Follow-Up via Portable Telemonitoring Personal Analyzer: Applicability, Reliability and Accuracy. In: Sotirov, S.S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E., Staneva, G. (eds) Contemporary Methods in Bioinformatics and Biomedicine and Their Applications. BioInfoMed 2020. Lecture Notes in Networks and Systems, vol 374. Springer, Cham. https://doi.org/10.1007/978-3-030-96638-6_33
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