Journal of Healthcare Engineering / 2020 / Article / Tab 2

Research Article

Influence of Optimization Design Based on Artificial Intelligence and Internet of Things on the Electrocardiogram Monitoring System

Table 2

Accuracy of different methods in each functional module.

IndexFast-CNNQRS based by P&T
SePPVAccF1SePPVAccF1

10.99530.99080.98630.99310.99580.99220.98810.994
20.97160.99410.9660.98450.98570.98340.96950.9827
30.97520.98570.96160.98040.90790.91280.83540.9103
40.99530.99950.99480.99740.99950.99910.99860.9993
50.9860.97540.96210.98070.98080.95860.9410.9696
60.96450.98280.94840.97350.97740.97380.95240.9756
70.99190.9860.97810.98890.99530.9790.97450.9871
80.98810.98510.97360.98660.99020.98680.97720.9885
90.98270.95960.94370.9710.96370.95290.91990.9583
100.95920.99290.95260.98950.98650.99240.97910.9757
110.99390.97470.96880.98420.98980.90990.90150.9482
120.99780.99740.99520.99760.99580.99080.98660.9933
130.9910.99590.98690.99340.99430.97620.97080.9852
140.9830.98620.96970.98460.98980.97280.96310.9812
150.97960.95720.93840.96820.9850.98060.96620.9828
160.94020.94610.89240.9740.97490.97310.94930.9432
170.98440.98180.96680.98310.97570.96360.9410.9696
180.94890.96440.91680.95660.97580.96340.94090.9696
190.98150.99230.9740.98690.98340.98140.96540.9824
200.98110.99070.97210.98580.98140.98160.96370.9815
AVR0.97960.98190.96240.98070.98140.9710.95420.9762

Convolutional Neural Network, CNN. Sensitivity, Se. Positive predictive value, PPV. Accuracy, Acc. F1- measure, change the value of F function by adjusting alpha, F1 when alpha = 1.

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.