Respiratory motion forecasting on Implanted markers
0.57RMSEMafi [24]
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Mafi [24]Network=RNN-FCL, Training method=RTRL, Sampling rate=7.5 Hz, Amount of data=43 records, Response time=665ms2021.06 | 0.57 | 0.54 | — | — | |
| Teo [50]Network=1-layer MLP, Training method=Backprop. & adapt. training, Sampling rate=7.5 Hz, Amount of data=27 records of 1 min, Signal amplitude=2mm to 16mm, Response time=650ms2021.06 | 0.95 | 0.65 | 3.94 | — | |
| Jiang [12]Network=1-layer NARX, Training method=RTRL, Sampling rate=30 Hz, Amount of data=7 records, Signal amplitude=2.5mm to 26.5mm, Response time=600ms2021.06 | 0.97 | — | — | — | |
| Jiang [12]Network=1-layer NARX, Training method=RTRL, Sampling rate=30 Hz, Amount of data=7 records, Signal amplitude=2.5mm to 26.5mm, Response time=1.0s2021.06 | 1.18 | — | — | — | |
| Sharp [45]Network=1-layer MLP, Sampling rate=10 Hz, Amount of data=14 records, Signal amplitude=9.1mm to 31.6mm, Response time=200ms2021.06 | 2.6 | — | — | — | |
| Sharp [45]Network=1-layer MLP, Sampling rate=10 Hz, Amount of data=14 records, Signal amplitude=9.1mm to 31.6mm, Response time=1s2021.06 | 5.3 | — | — | — |