Detection of motion artifacts in electrical impedance plethysmography signals using neural networks

Detection of motion artifacts in electrical impedance plethysmography signals using neural networks

An artificial neural network was developed to detect patient motion artifacts in electrical impedance plethysmography signals. The network was trained using back propagation, and could differentiate between motion free waveforms and waveforms corrupted by motion artifacts. The use of such a network...

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Hauptverfasser: Haryadi, D.G., Sastry, K.L.A., Boreda, R., Timmons, W.D., Taylor, B.C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial neural networks
Band pass filters
Data acquisition
Feedforward neural networks
Frequency
Impedance
Intelligent networks
Motion detection
Neural networks
Plethysmography
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Zusammenfassung:An artificial neural network was developed to detect patient motion artifacts in electrical impedance plethysmography signals. The network was trained using back propagation, and could differentiate between motion free waveforms and waveforms corrupted by motion artifacts. The use of such a network in a continuous data acquisition system may result in considerable savings in physician's time and computer memory.
DOI:10.1109/IEMBS.1993.978552