Detecting Four-Limb Blood Oxygen Saturation and Heart Rate based on Reflex Photoplethysmography

The study purpose is to construct a reflective Oxygen Saturation (SpO2) and Heart Rate (HR) four-limb detective device, improve transmission SpO2 device only to measure finger, toe and earlobe. Using Silicon Labs Si1143, Arduino Nano, self-calibrated SpO2 algorithm and mobile application software constitute a mobile reflective SpO2 and HR detective device. Static four parts and post-exercise experiment had been carried out to test our device, the result can achieve comparable performance to a clinical device with no significant difference revealed by paired t-tests. This study has applied for clinical trial permission, the schedule will improve the calibration curve and compensation factor of unverifiable body parts by blood draw comparison. Provide clinical staff for immediate local SpO2 and HR information, evaluate the effectiveness of vascular suture and hyperbaric oxygen therapy.

[1]  Shu-Jung Chen,et al.  A new oxygen saturation images of iris tissue , 2010, 2010 IEEE Sensors.

[2]  G. Başaranoglu,et al.  Comparison of SpO2 values from different fingers of the hands , 2015, SpringerPlus.

[3]  F. Scholkmann,et al.  Measuring tissue hemodynamics and oxygenation by continuous-wave functional near-infrared spectroscopy—how robust are the different calculation methods against movement artifacts? , 2014, Physiological measurement.

[4]  Franco Fummi,et al.  A Single-Chip CMOS Pulse Oximeter with On-Chip Lock-In Detection , 2015, Sensors.

[5]  P. Kyriacou.  Pulse oximetry in the oesophagus , 2006, Physiological measurement.

[6]  Yuan-Hsiang Lin,et al.  A Pulse Rate Detection Method for Mouse Application Based on Multi-PPG Sensors , 2017, Sensors.

[7]  Adelina Pellicer,et al.  Near-infrared spectroscopy: a methodology-focused review. , 2011, Seminars in fetal & neonatal medicine.

[8]  Zhiyuan Lu,et al.  A Prototype of Reflection Pulse Oximeter Designed for Mobile Healthcare , 2016, IEEE Journal of Biomedical and Health Informatics.

[9]  A. Murray,et al.  Effects of filtering on multisite photoplethysmography pulse waveform characteristics , 2004, Computers in Cardiology, 2004.

[10]  Mehrdad Nourani,et al.  A Motion-Tolerant Adaptive Algorithm for Wearable Photoplethysmographic Biosensors , 2014, IEEE Journal of Biomedical and Health Informatics.

[11]  Toshiyo Tamura,et al.  Wearable Photoplethysmographic Sensors—Past and Present , 2014 .

[12]  J. Edelsberg,et al.  Hyperbaric-oxygen therapy. , 1996, The New England journal of medicine.

[13]  Jun Hu,et al.  Study of Artifact-Resistive Technology Based on a Novel Dual Photoplethysmography Method for Wearable Pulse Rate Monitors , 2015, Journal of Medical Systems.

[14]  Ravi Sankar,et al.  Alternate pulse oximetry algorithms for SpO/sub 2/ computation , 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Panayiotis A. Kyriacou,et al.  Reflectance Photoplethysmography as Noninvasive Monitoring of Tissue Blood Perfusion , 2015, IEEE Transactions on Biomedical Engineering.