Greetings, everyone.
I am a bit curious to know how the sampling frequency of the device that captures the physiological signals impact the deep learning process.
For example, if a device abc captures ECG signals at a frequency of 512 Hz, and all the training data belongs to this device. Can the deep learning model trained on signals of 512 hz is able to predict the signal which is captured at a frequency of let say 348 Hz?