An improved design of optical sensor for long-term measurement of arterial blood flow waveform

We present here the improved design and development of optical sensor for non-invasive measurements of arterial blood flow waveform. The sensor is based on a physical principle of reflective photoplethysmography (PPG). As the light source we used serially connected infrared diodes whereas NPN silicon phototransistors were used as light detectors. The electronic components were molded into square package and poured with silicone. Such preparation produced an elastic superficies that allowed excellent attachment of the sensor on the skin’s surface. Moreover, a serial connection of infrared diodes and phototransistors completely eliminated signal artifacts caused by minor muscle contractions. The sensor recording performances were examined at the photoplethysmographic sites on three different arteries; the commune carotid, femoral and radial and, on each site the sensor demonstrated remarkable capability to make a consistent, reproducible measurements. Because of the advantageous physical and electrical properties, the new sensor is suitable for various cardiovascular diagnostics procedures, especially when long-term measurements of arterial blood flow waveform are required, for monitoring of different parameters in cardiovascular units and for research.

[1]  D. Žikić,et al.  An improved reflective photoplethysmograph probe design for detection of an arterial blood flow , 2008, Journal of medical engineering & technology.

[2]  V. Mohsenin,et al.  Sleep-Related Breathing Disorders and Risk of Stroke , 2001, Stroke.

[3]  Christopher J. Arthurs,et al.  A mathematical model of coronary blood flow control: simulation of patient-specific three-dimensional hemodynamics during exercise , 2016, American journal of physiology. Heart and circulatory physiology.

[4]  D. Chaffin Localized muscle fatigue--definiton and measurement. , 1973, Journal of occupational medicine. : official publication of the Industrial Medical Association.

[5]  M. Lambert,et al.  Autonomic Control of Heart Rate during and after Exercise , 2008, Sports medicine.

[6]  P. Samet,et al.  Hemodynamic Sequelae of Cardiac Arrhythmias , 1973, Circulation.

[7]  John Allen Photoplethysmography and its application in clinical physiological measurement , 2007, Physiological measurement.

[8]  T David,et al.  3D models of blood flow in the cerebral vasculature. , 2006, Journal of biomechanics.

[9]  G. Lip,et al.  Atrial flutter and thromboembolic risk: a systematic review , 2015, Heart.

[10]  C. Carlsson,et al.  Thrombosis following percutaneous radial artery cannulation , 1986, Acta anaesthesiologica Scandinavica.

[11]  Christos P. Loizou,et al.  A review of ultrasound common carotid artery image and video segmentation techniques , 2014, Medical & Biological Engineering & Computing.

[12]  R S Cobbold,et al.  Relation of the flow field distal to a moderate stenosis to the Doppler power. , 1997, Ultrasound in medicine & biology.

[13]  F. Ponziani,et al.  New modalities of ultrasound-based intima-media thickness, arterial stiffness and non-coronary vascular calcifications detection to assess cardiovascular risk. , 2015, European review for medical and pharmacological sciences.

[14]  Arterial Blood Flow Sensor , 2009 .

[15]  E. Frezza,et al.  Indications and complications of arterial catheter use in surgical or medical intensive care units: analysis of 4932 patients. , 1998, The American surgeon.

[16]  J. Lubbers,et al.  Calf blood flow and posture: Doppler ultrasound measurements during and after exercise. , 1992, Journal of applied physiology.

[17]  J. Goldberger,et al.  Assessment of autonomic function in cardiovascular disease: physiological basis and prognostic implications. , 2008, Journal of the American College of Cardiology.

[18]  J. Volpe,et al.  Seizures in the preterm infant: effects on cerebral blood flow velocity, intracranial pressure, and arterial blood pressure. , 1983, The Journal of pediatrics.

[19]  Silvia Born,et al.  Visual Analysis of Cardiac 4D MRI Blood Flow Using Line Predicates , 2013, IEEE Transactions on Visualization and Computer Graphics.

[20]  D. Holdsworth,et al.  Characterization of common carotid artery blood-flow waveforms in normal human subjects , 1999, Physiological measurement.

[21]  J. Reiber,et al.  Ultrasound Assessment of Atherosclerotic Vessel Wall Changes: Reproducibility of Intima-Media Thickness Measurements in Carotid and Femoral Arteries , 2000, Investigative radiology.