The Value of the Wearable Single-lead Remote Monitoring Device with the Scatterplot in Chronic Disease Management
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DOI

10.26689/jcnr.v4i3.1219

Submitted : 2020-04-23
Accepted : 2020-05-08
Published : 2020-05-23

Abstract

Objective: To study the value of the wearable single-lead remote monitoring device with the scatterplot in chronic disease management. Methods: dmitted into 435 residents accord with the inclusion criteria of 20 primary medical institutions of Yinchuan city, and grouped voluntarily by the implementation schemes were grouped voluntarily according to the implementation schemes. According to one of the three implementation schemes selected, the general practitioner guided the subjects to take on the wearable single-lead remote monitoring device, collecting and uploading the EEG data, then diagnosed and analyzed by the synchronously generated ECG scatterplot, finally, summarized the incidence and the categories, analyzed the differences among these three groups.Results: Among 435 subjects, there were 61 normal patients and 374 arrhythmias with the detection rate of 85.98%; and among the 1672 data collected, there were 606 normal data and 1066 arrhythmia with the detection rate of 63.76%; 880 data in total 333 cases with atrial premature beat; 442 data in total 215 cases with occasional ventricular premature beat; 37 data of 22 cases with frequent atrial beat; 65 data of 28 cases with frequent ventricular premature beat; 13 data of 6 cases with atrial fibrillation; 25 data of 15 cases with excitation conduction disorder; 2 data of 2 cases with atrial flutter; 31 data of 19 cases with ventricular tachycardia; 30 data of 16 cases with conduction block; and 14 data of 8 cases with Para systolic rhythm. comparing the detection rate of arrhythmia in three groups, the difference was not statistically significant (P>0.05). Conclusion: The wearable single-lead remote monitoring device with the scatterplot has high application value in cardiovascular chronic disease management.Its effectively screening, validly diagnosing and detailed classifying are helpful to the early intervention , and the protection of the patients’ lives.