A novel online method for identifying motion artifact and photoplethysmography signal reconstruction using artificial neural networks and adaptive neuro-fuzzy inference system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-018-3767-8.pdf
Reference59 articles.
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3. Johnston W, Mendelson Y (2005) Extracting heart rate variability from a wearable reflectance pulse oximeter. In: Proceedings of the IEEE 31st annual northeast bioengineering conference, 2005, pp 157–158
4. Bolanos M, Nazeran H, Haltiwanger E (2006) Comparison of heart rate variability signal features derived from electrocardiography and photoplethysmography in healthy individuals. In: 28th Annual international conference of the IEEE engineering in medicine and biology society, 2006, EMBS’06, pp 4289–4294
5. Sukor JA, Redmond SJ, Lovell NH (2011) Signal quality measures for pulse oximetry through waveform morphology analysis. Physiol Meas 32(3):369
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