A Cloud-Based Machine Learning Approach to Reduce Noise in ECG Arrhythmias for Smart Healthcare Services

Table 1

LFM radar values of scenario I and scenario II used for simulation.

S.N.	Quantity	Values for scenario 1	Values for scenario 2
1	Number of pulses (M)	10	20
2	Number of frequency intervals (L)	500	500
3	Frequency increment (∆f)	10 MHz	10 MHz
4	Pulse duration (T0)	5 us	200 us
5	Pulse repetition interval (Tpri)	1 ms	0.4 ms
6	Centre frequency (fc)	10 GHz	9 GHz

Modified NCs. Two monostatic ECG with different parameter values were studied and are listed in Table 1 for scenarios 1 and 2, which refer to the two ECG [34]. Scenario 1 depicts realistic LFM ECG, where parameter values differ from those of scenario 2’s ECG.