brianhill11/ABPImputation
Package for imputing the arterial blood pressure (ABP) waveform from non-invasive physiological waveforms (PPG & ECG) using a deep neural network
This project helps clinicians and researchers obtain a continuous arterial blood pressure (ABP) waveform without invasive arterial lines. By inputting non-invasive physiological measurements like photoplethysmogram (PPG) and electrocardiogram (ECG/EKG) data, it outputs a detailed, imputed ABP waveform. Biomedical engineers, data scientists in healthcare, and clinical researchers focused on patient monitoring would find this useful.
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Use this if you need to estimate continuous arterial blood pressure from non-invasive ECG and PPG signals, especially when direct arterial line measurements are unavailable or undesirable.
Not ideal if you require real-time, high-stakes clinical decision support where validated, direct arterial line measurements are the standard of care.
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Python
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Last pushed
Jul 24, 2022
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