# Respiratory Motion Forecasting on Cyberknife SNR

Source: [Respiratory Motion Forecasting on Cyberknife SNR](<https://www.sota2.com/research/sota/respiratory-motion-forecasting-on-cyberknife-snr>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:11:11.251Z

Evaluation of models performing respiratory motion forecasting using the Cyberknife SNR dataset, assessed using metrics like RMSE, MAE, Max error, and nRMSE.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Respiratory motion forecasting |
| Dataset (including any stated split) | Cyberknife SNR |
| Metric | nRMSE |
| Unit | PERCENT |
| Direction | Lower is better |
| Results loaded | 2 of 2 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [nRMSE](<https://www.sota2.com/research/sota/respiratory-motion-forecasting-on-cyberknife-snr.md?metric=nRMSE>): Lower is better; unit: PERCENT.

- [RMSE](<https://www.sota2.com/research/sota/respiratory-motion-forecasting-on-cyberknife-snr.md?metric=RMSE>): Lower is better; unit: SCALAR.

- [MAE](<https://www.sota2.com/research/sota/respiratory-motion-forecasting-on-cyberknife-snr.md?metric=MAE>): Lower is better; unit: SCALAR.

- [Max Error](<https://www.sota2.com/research/sota/respiratory-motion-forecasting-on-cyberknife-snr.md?metric=Max%20Error>): Lower is better; unit: SCALAR.

## Recorded results

| Method | nRMSE | Result date | Report paper |
| --- | --- | --- | --- |
| Jöhl \[13\] | 38 | Not recorded | 68fa6e031e209131cea3d6a5 |
| Jöhl \[13\] | 66 | Not recorded | 68fa6e031e209131cea3d6a5 |

### Jöhl \[13\]

nRMSE: 38. Result ID: 698fff403a6c314849fd59ff.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d6a5.md>)

Recorded evaluation configuration: {"Network":"3-layer MLP","Training method":"Levenberg-Marq.","Sampling rate":"25 Hz","Amount of data":"95 records","Signal amplitude":"up to 12mm","Response time":"160ms","Breathing data SNR":"30dB"}. This record does not assert independent reproduction.

### Jöhl \[13\]

nRMSE: 66. Result ID: 698fff403a6c314849fd5a00.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d6a5.md>)

Recorded evaluation configuration: {"Network":"3-layer MLP","Training method":"Levenberg-Marq.","Sampling rate":"25 Hz","Amount of data":"95 records","Signal amplitude":"up to 12mm","Response time":"160ms","Breathing data SNR":"20dB"}. This record does not assert independent reproduction.

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