Table 2.

Results comparison of different respiratory prediction models.

Prediction model	Latency (ms)	MAE (mm)	RMSE (mm)	R2 (None)
EMD-SEnet-TCN	80	0.008797	0.01814	0.993157
	150	0.016442	0.026901	0.985422
	240	0.021495	0.033960	0.975841
	300	0.028391	0.042698	0.960636
	400	0.031789	0.0491499	0.951819
	450	0.038560	0.058295	0.928711
	520	0.045638	0.064746	0.910043
CNN-BiLSTM	80	0.013164	0.020244	0.994183
	150	0.015645	0.021739	0.989963
	240	0.026275	0.032612	0.966891
	300	0.040191	0.051979	0.939334
	400	0.044840	0.060412	0.917064
	450	0.051416	0.071154	0.890039
	520	0.059593	0.080446	0.857721
CNN-TCN	80	0.007193	0.009572	0.997983
	150	0.020939	0.028718	0.985953
	240	0.022003	0.031190	0.978862
	300	0.029881	0.045487	0.961351
	400	0.040356	0.054568	0.932332
	450	0.048732	0.070259	0.893678
	520	0.054356	0.077895	0.869860
EMD-CNN-BiLSTM	80	0.010331	0.022604	0.989376
	150	0.017215	0.025713	0.986681
	240	0.0257432	0.038429	0.969060
	300	0.029316	0.045936	0.954440
	400	0.037918	0.054366	0.937525
	450	0.040603	0.060994	0.911850
	520	0.048301	0.065581	0.907710