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Predict blood pressure (systolic and diastolic) rythm from ECG and pulse oximeter signals

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ecgPpg2Art

Deep learning to predict blood pressure (systolic and diastolic) from ECG (QRS) and pulse oximeter signals.

The samples were taken every 125 Mhz. The two input and output signals have a duration of 10 seconds.

Several architectures were built (e.g. NN, 1CNN, RNN (LSTM and GRU), as well as autoencoders) to address this problem.

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Predict blood pressure (systolic and diastolic) rythm from ECG and pulse oximeter signals

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