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IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 54
Problems in Getting Ambulatory Blood Pressure Monitoring using
Infrared PPG
Dr. B. B. Godbole1
Shailaja P. Vedpathak2
1
Assistant Professor 2
Student
1,2
K.B.P.College of Engineering, Satara
Abstract— In the current study, a non-invasive technique for
blood pressure (BP) measurement based on the detection of
Photoplethysmographic (PPG) pulses during pressure-cuff
deflation was compared to sphygmomanometry—the
Korotkoff sounds technique. The PPG Senor used to
measure blood pressure using the technique of correlation of
volume and pressure. The performance of portable and
wearable biosensorsis highly influenced by motion artifact,
artery stiffness, measurement sites, light wavelength, sensor
pressure, A novel real time system is proposed for accurate
motion-tolerant extraction of heart rate (HR) and pulse
oximeter oxygen saturation (SpO2) from wearable
Photoplethysmographic (PPG) biosensors. Recently,
monitoring of blood pressure fluctuation in the daily life is
focused on in the hypertension care area to predict the risk
of cardiovascular and cerebrovascular disease events. The
main problem is using with digital BP monitoring machine
is Doctors are not believe on digital machines they believe
with only sphygmomanometer. In this paper, in order to
propose an alternative system to the existed ambulatory
blood pressure monitoring (ABPM) sphygmomanometer, to
sort out the problems using small wearable device consisting
of photoplethysmograph (PPG) sensors. Recent advances in
optical technology have facilitated the use of high-intensity
green LEDs for PPG, increasing the adoption of this
measurement technique. In this paper, we briefly present the
problems of PPG sensor and recent developments in
wearable pulse rate sensors with green LEDs.
Key words: Infrared Light; Photoplethysmograph (PPG),
Pulse Rate; Reflectance; Transmittance
I. INTRODUCTION
Wearable biosensors have the potential to become the
attraction in healthcare technology by offering their
capabilities for low-cost, weightless, small size, non-
invasive and long term biosignal monitoring
.Photoplethysmography (PPG) biosensors is one of the main
sensors with many applications in monitoring, diagnosis and
assessment. The signal quality is specifically critical for
wearable PPG-based systems [1]. PPG is a signal obtained
by an optical sensor consisting of an emitting LED and a
receiving photodiode. A light is emitted towards blood
vessels and the optical density received by photodiode
reflects change of blood flow. Despite various applications
and proper form factor for wearable applications, PPG
signal is highly susceptible to motion [2]. Overcoming
motion artifacts presents one of the most challenging
problems. Addition of a reflectance PPG sensor as the
reference signal is also implemented in [3] but the
reflectance PPG sensor is also susceptible to motion.
Every time Doctors are not considering digital BP
machine as a standard machine they always refer
sphygmomanometer. Our contribution in this paper is first,
we have proposed for PPG signal and related survey
analyzed the problems using PPG Sensor. Second, we have
solved the problems of biosensors like Infrared PPG Sensor,
and discuss the solution.
II. SCOPE AND RELATED SURVEYS
A. PPG Measurement Principle:
Photoplethysmography (PPG) is one of the most important
noninvasive techniques for diagnostics and monitoring of
the Cardiovascular digital system. The measuring technique
is based on an optical detection of tissue blood pulsations.
PPG signal consists of two components: slowly alternating
DC component and pulsatile AC component, which takes
only 0.5-2%, of the DC offset [4]. The AC component
reflects the vascular pulsations with each heart cycle, while
the DC component reflects the total blood volume and its
changes due to respiration, and neural activity, the peak
shows different blood pressure at different peak (Fig.1) [3].
Fig. 1: AC Component of A Typical PPG Signal
The DC component of the PPG waveform
corresponds to the detected transmitted or reflected optical
signal from the tissue, and depends on the structure of the
tissue and the average blood volume of both arterial and
venous blood. Note that the DC component changes slowly
with respiration. The AC component shows changes in the
blood volume that occurs between the systolic and diastolic
phases of the cardiac cycle; the fundamental frequency of
the AC component depends on the heart rate and is
superimposed onto the DC component (Fig.2) [6].
Fig. 2: Variation In Light Attenuation By Tissue
Problems in Getting Ambulatory Blood Pressure Monitoring using Infrared PPG
(IJSRD/Vol. 3/Issue 10/2015/011)
All rights reserved by www.ijsrd.com 55
When Measure the blood pressure consider the AC as well
as DC components which is most important so small
variation will affect the results of Plethysmograph.
B. Reflected and Transmitted Signals:
The wearable PPG has two modes—transmission and
reflectance—as shown in Fig. 3. In transmission mode, the
light transmitted through the medium is detected by a PD
opposite the LED source, while in reflectance mode, the PD
detects light that is back-scattered or reflected from tissue,
bone and/or blood vessels. Generally transmission type PPG
is used for BP monitoring also in ICU for measuring SPO2.
Fig.3: Light-Emitting Diode (LED) And Photodetectors
(PD) Placement For Transmission-Mode And Reflectance-
Mode Photoplethysmography (PPG).
C. Light Wavelength:
The Plethysmography concept is mainly depending on the
light wavelength. Blood absorbs more light than the
surrounding tissue. Therefore, a reduction in the amount of
blood is detected as an increase in the intensity of the
detected light. The wavelength and distance between the
light source and photodetector (PD) determine the
penetration depth of the light. Green light is suitable for the
measurement of superficial blood flow in skin. Light with
wavelengths between 500 and 600 nm (the green-yellow
region of the visible spectrum) exhibits the largest
modulation depth with pulsatile blood absorption. IR or
near-IR wavelengths are better for measurement of deep-
tissue blood flow (e.g., blood flow in muscles). Thus, IR
light has been used in PPG devices for some time [7].
However, green-wavelength PPG devices are now a days
popular due to the large intensity variations in modulation
observed during the cardiac cycle for these wavelengths are
necessary [8–9].
A absorptivity is also important factor for
measuring BP infrared light has less absorptivity for both
oxyhaemoglobin and deoxyhaemoglobin compared to green
LED. Therefore, the change in reflected green light is
greater than that in reflected infrared light when blood
pulses through the skin, resulting in a better signal-to-noise
ratio for the green light source. Sometimes using IR LED we
could not get the proper wavelength but this light is no
harmful for us. But green LED gives the proper wavelength
for correct result.
D. Factors Affecting PPG Recordings:
The factors affect PPG recordings, including the
measurement site (i.e., probe attachment site), the contact
force, mechanical movement artifacts, subject posture, and
breathing.
1) Measurement Site:
In recent years, different measurement sites for PPG sensors
have been explored widely, including the ring finger, wrist,
and earlobe. Commercial clinical PPG sensors commonly
use the finger, earlobe and forehead because it gives noise
free result as compared to the other sites [10]. The most
common commercially available PPG sensor is based on
finger measurement sites. Finger sites are easily accessed
and provide good signal for PPG sensor probes also. And
Finger sensor is also easy to carry for person.
2) Probe Contact Force:
Contact force is for getting proper amplitude of sensor so
the contact force ranging from 0.2 to 1.8 N was applied to
the finger [8]. As a result, the AC amplitude increased and
then decreased with increasing contact force. For different
arterial stiffness with gender and age, the pulse amplitude
and the AC/DC ratio peaked at different contact forces
ranging from 0.2 to 1.0 N; most subjects achieved their
maximum pulse amplitude within 0.2–0.4 N. Note that a
calibration load of 0.65 N was applied to the fingertip skin
to provide a uniform pressure force during the experiment.
If we compare a PPG peak amplitude for IR and green light
sources A similar contact force study was conducted on the
upper arm [9]; an average compression pressure of 30
mmHg (4 kPa) . Wrist pressure and figure sensor pressure is
same.
III. PPG MODEL AND MOTION ARTIFACT
On working of PPG sensor there is lot of problem in their
research the main problem is motion artifacts. We are
working on a model and a processing algorithm to reduce
motion artifact on a PPG sensor system. This model enables
us to characterize relation between PPG and motion artifact.
Moreover, we will build an experimental platform to
measure/reduce the effect of motion and noise reduction
techniques and adjust their parameters according to
standerds. Here, we first introduce the model for PPG signal
and then do experimentation with and without motion to see
how motion artifact affects mining and evaluation of model
parameters. One method is using with smart phones there is
effect of motion artifact and also green LED.
Using transmittance type PPG sensor there is less
insertion of noise because nature of sensor is like clamp.
And because of clamp the sensor contact force will be
proper for sensor output instead of reflectance type PPG
Sensor. The easy pulse HRM 2511 sensor is used for
measuring PPG and BP. For removal of distortion in sensor
circuitry op amp is used to amplify the incoming PPG signal
and filter that signal which is to be amplified.
Fig. 4: Stage I filtering and amplification
Problems in Getting Ambulatory Blood Pressure Monitoring using Infrared PPG
(IJSRD/Vol. 3/Issue 10/2015/011)
All rights reserved by www.ijsrd.com 56
Fig. 5: Stage II Instrumentation Circuit
Fig. 6: Voltage Comparator
Above Fig .4,5,6 Shows how to illuminate noise
from incoming PPG signal. The PPG signal coming from
the photodetector is weak and noisy. So we need an
amplifier and filter circuits to boost and clean the signal. In
Stage I instrumentation, the signal is first passed through a
passive (RC) high-pass filter (HPF) to block the DC
component of the PPG signal. The second stage also
consists similar HPF and LPF circuits. The two-step
amplified and filtered signal is now fed to a third Opamp,
which is configured as a non-inverting buffer with unity
gain. The output of the buffer provides the required analog
PPG signal. The potentiometer P1 can be used to control the
amplitude of the PPG signal appearing at the output of the
buffer stage. The fourth Opamp inside the MCP6004 device
is used as a voltage comparator. The analog PPG signal is
fed to the positive input and the negative input is tied to a
reference voltage (VR). The magnitude of VR can be set
anywhere between 0 and Vcc through potentiometer P2
(shown below). Every time the PPG pulse wave exceeds the
threshold VR, the output of the comparator goes high. Thus,
this arrangement provides an output digital pulse
synchronous to heart beat. Note that the width of the pulse is
also determined by VR.
IV. CONCLUSION
Wearable PPG sensors have become very popular. Although
a great deal of progress has been made in the hardware and
signal processing, an acceptable wearable PPG sensor
device has yet to be developed. Wearable sensor like
Infrared PPG sensors are easy to carry without disturbing
our daily life, but these sensors gives more distortion with
motion artifacts, light wavelength, contact pressure, artery
stiffness. Green light sources in PPG sensors minimize
motion artifacts and other problem . Different types of filters
and algorithms are used to examine daily activities on
limited time scale. For getting better accuracy and
reproducibility of results are required to eliminate motion
artifacts. Instead of Infrared PPG sensor Green LED,s gives
proper results during motion artifact problem. Also it is
small in size ,weightless, less in prize.
ACKNOWLEDGMENTS
This work was partly supported by a Dr.A.G.Joshi Sir,
Krishna Hospital, Department Of Physiology, Karad 2015.
REFERENCES
[1] H.H. Asada, P. Shaltis, A. Reisner, S. Rhee, R.C.
Hutchinson, ―Mobile monitoring with wearable
photoplethysmographic biosensors,‖ IEEE Engineering
in Medicine and Biology Magazine, vol. 22, no. 3, pp.
28-40, May-June 2003.
[2] S. Rhee, B.H. Yang, H.H. Asada, ―Artifact-resistant
power efficient design of finger-ring plethysmographic
sensors,‖ IEEE Trans. Biomed. Eng., vol. 48, no. 7, pp.
795-805, July 2001.
[3] Alen, J. Photoplethysmography and its application in
clinical physiological measurement. Physiol. Meas.
2007, 28, R1–R39.
[4] Lin, C.-H. et al.Chaos Synchronization Detector
Combining Radial Basis Network for Estimation of
Lower Limb Peripheral
[5] Vascular Occlusive Disease. Medical Biometrics:
Second International Conference, Hong-Kong, 2010.
[6] Giltvedt, J.; Sita, A.; Helme, P. Pulsed multifrequency
photoplethysmograph. Med. Biol. Eng. Comput. 1984,
22, 212–215.
[7] Cui, W.; Ostrander, L.E.; Lee, B.Y. In vivo reflectance
of blood and tissue as a function of light wavelength.
IEEE Trans. Biomed. Eng. 1990, 37, 632–639.
[8] Spigulis, J. Optical non-invasive monitoring of skin
blood pulsations. Appl. Opt. 2005, 44, 1850–1857.
[9] Rhee, S.; Yang, B.-H.; Asada, H.H. Artifact-resistant,
power-efficient design of finger-ring plethysmographic
sensors. IEEE Trans. Biomed. Eng. 2001, 48, 795–805.
[10]Hertzman, A.B. The blood supply of various skin areas
as estimated by the photoelectric plethysmograph.
Amer. J. Physiol. 1938, 124, 328–340.

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Problems in Getting Ambulatory Blood Pressure Monitoring using Infrared PPG

  • 1. IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613 All rights reserved by www.ijsrd.com 54 Problems in Getting Ambulatory Blood Pressure Monitoring using Infrared PPG Dr. B. B. Godbole1 Shailaja P. Vedpathak2 1 Assistant Professor 2 Student 1,2 K.B.P.College of Engineering, Satara Abstract— In the current study, a non-invasive technique for blood pressure (BP) measurement based on the detection of Photoplethysmographic (PPG) pulses during pressure-cuff deflation was compared to sphygmomanometry—the Korotkoff sounds technique. The PPG Senor used to measure blood pressure using the technique of correlation of volume and pressure. The performance of portable and wearable biosensorsis highly influenced by motion artifact, artery stiffness, measurement sites, light wavelength, sensor pressure, A novel real time system is proposed for accurate motion-tolerant extraction of heart rate (HR) and pulse oximeter oxygen saturation (SpO2) from wearable Photoplethysmographic (PPG) biosensors. Recently, monitoring of blood pressure fluctuation in the daily life is focused on in the hypertension care area to predict the risk of cardiovascular and cerebrovascular disease events. The main problem is using with digital BP monitoring machine is Doctors are not believe on digital machines they believe with only sphygmomanometer. In this paper, in order to propose an alternative system to the existed ambulatory blood pressure monitoring (ABPM) sphygmomanometer, to sort out the problems using small wearable device consisting of photoplethysmograph (PPG) sensors. Recent advances in optical technology have facilitated the use of high-intensity green LEDs for PPG, increasing the adoption of this measurement technique. In this paper, we briefly present the problems of PPG sensor and recent developments in wearable pulse rate sensors with green LEDs. Key words: Infrared Light; Photoplethysmograph (PPG), Pulse Rate; Reflectance; Transmittance I. INTRODUCTION Wearable biosensors have the potential to become the attraction in healthcare technology by offering their capabilities for low-cost, weightless, small size, non- invasive and long term biosignal monitoring .Photoplethysmography (PPG) biosensors is one of the main sensors with many applications in monitoring, diagnosis and assessment. The signal quality is specifically critical for wearable PPG-based systems [1]. PPG is a signal obtained by an optical sensor consisting of an emitting LED and a receiving photodiode. A light is emitted towards blood vessels and the optical density received by photodiode reflects change of blood flow. Despite various applications and proper form factor for wearable applications, PPG signal is highly susceptible to motion [2]. Overcoming motion artifacts presents one of the most challenging problems. Addition of a reflectance PPG sensor as the reference signal is also implemented in [3] but the reflectance PPG sensor is also susceptible to motion. Every time Doctors are not considering digital BP machine as a standard machine they always refer sphygmomanometer. Our contribution in this paper is first, we have proposed for PPG signal and related survey analyzed the problems using PPG Sensor. Second, we have solved the problems of biosensors like Infrared PPG Sensor, and discuss the solution. II. SCOPE AND RELATED SURVEYS A. PPG Measurement Principle: Photoplethysmography (PPG) is one of the most important noninvasive techniques for diagnostics and monitoring of the Cardiovascular digital system. The measuring technique is based on an optical detection of tissue blood pulsations. PPG signal consists of two components: slowly alternating DC component and pulsatile AC component, which takes only 0.5-2%, of the DC offset [4]. The AC component reflects the vascular pulsations with each heart cycle, while the DC component reflects the total blood volume and its changes due to respiration, and neural activity, the peak shows different blood pressure at different peak (Fig.1) [3]. Fig. 1: AC Component of A Typical PPG Signal The DC component of the PPG waveform corresponds to the detected transmitted or reflected optical signal from the tissue, and depends on the structure of the tissue and the average blood volume of both arterial and venous blood. Note that the DC component changes slowly with respiration. The AC component shows changes in the blood volume that occurs between the systolic and diastolic phases of the cardiac cycle; the fundamental frequency of the AC component depends on the heart rate and is superimposed onto the DC component (Fig.2) [6]. Fig. 2: Variation In Light Attenuation By Tissue
  • 2. Problems in Getting Ambulatory Blood Pressure Monitoring using Infrared PPG (IJSRD/Vol. 3/Issue 10/2015/011) All rights reserved by www.ijsrd.com 55 When Measure the blood pressure consider the AC as well as DC components which is most important so small variation will affect the results of Plethysmograph. B. Reflected and Transmitted Signals: The wearable PPG has two modes—transmission and reflectance—as shown in Fig. 3. In transmission mode, the light transmitted through the medium is detected by a PD opposite the LED source, while in reflectance mode, the PD detects light that is back-scattered or reflected from tissue, bone and/or blood vessels. Generally transmission type PPG is used for BP monitoring also in ICU for measuring SPO2. Fig.3: Light-Emitting Diode (LED) And Photodetectors (PD) Placement For Transmission-Mode And Reflectance- Mode Photoplethysmography (PPG). C. Light Wavelength: The Plethysmography concept is mainly depending on the light wavelength. Blood absorbs more light than the surrounding tissue. Therefore, a reduction in the amount of blood is detected as an increase in the intensity of the detected light. The wavelength and distance between the light source and photodetector (PD) determine the penetration depth of the light. Green light is suitable for the measurement of superficial blood flow in skin. Light with wavelengths between 500 and 600 nm (the green-yellow region of the visible spectrum) exhibits the largest modulation depth with pulsatile blood absorption. IR or near-IR wavelengths are better for measurement of deep- tissue blood flow (e.g., blood flow in muscles). Thus, IR light has been used in PPG devices for some time [7]. However, green-wavelength PPG devices are now a days popular due to the large intensity variations in modulation observed during the cardiac cycle for these wavelengths are necessary [8–9]. A absorptivity is also important factor for measuring BP infrared light has less absorptivity for both oxyhaemoglobin and deoxyhaemoglobin compared to green LED. Therefore, the change in reflected green light is greater than that in reflected infrared light when blood pulses through the skin, resulting in a better signal-to-noise ratio for the green light source. Sometimes using IR LED we could not get the proper wavelength but this light is no harmful for us. But green LED gives the proper wavelength for correct result. D. Factors Affecting PPG Recordings: The factors affect PPG recordings, including the measurement site (i.e., probe attachment site), the contact force, mechanical movement artifacts, subject posture, and breathing. 1) Measurement Site: In recent years, different measurement sites for PPG sensors have been explored widely, including the ring finger, wrist, and earlobe. Commercial clinical PPG sensors commonly use the finger, earlobe and forehead because it gives noise free result as compared to the other sites [10]. The most common commercially available PPG sensor is based on finger measurement sites. Finger sites are easily accessed and provide good signal for PPG sensor probes also. And Finger sensor is also easy to carry for person. 2) Probe Contact Force: Contact force is for getting proper amplitude of sensor so the contact force ranging from 0.2 to 1.8 N was applied to the finger [8]. As a result, the AC amplitude increased and then decreased with increasing contact force. For different arterial stiffness with gender and age, the pulse amplitude and the AC/DC ratio peaked at different contact forces ranging from 0.2 to 1.0 N; most subjects achieved their maximum pulse amplitude within 0.2–0.4 N. Note that a calibration load of 0.65 N was applied to the fingertip skin to provide a uniform pressure force during the experiment. If we compare a PPG peak amplitude for IR and green light sources A similar contact force study was conducted on the upper arm [9]; an average compression pressure of 30 mmHg (4 kPa) . Wrist pressure and figure sensor pressure is same. III. PPG MODEL AND MOTION ARTIFACT On working of PPG sensor there is lot of problem in their research the main problem is motion artifacts. We are working on a model and a processing algorithm to reduce motion artifact on a PPG sensor system. This model enables us to characterize relation between PPG and motion artifact. Moreover, we will build an experimental platform to measure/reduce the effect of motion and noise reduction techniques and adjust their parameters according to standerds. Here, we first introduce the model for PPG signal and then do experimentation with and without motion to see how motion artifact affects mining and evaluation of model parameters. One method is using with smart phones there is effect of motion artifact and also green LED. Using transmittance type PPG sensor there is less insertion of noise because nature of sensor is like clamp. And because of clamp the sensor contact force will be proper for sensor output instead of reflectance type PPG Sensor. The easy pulse HRM 2511 sensor is used for measuring PPG and BP. For removal of distortion in sensor circuitry op amp is used to amplify the incoming PPG signal and filter that signal which is to be amplified. Fig. 4: Stage I filtering and amplification
  • 3. Problems in Getting Ambulatory Blood Pressure Monitoring using Infrared PPG (IJSRD/Vol. 3/Issue 10/2015/011) All rights reserved by www.ijsrd.com 56 Fig. 5: Stage II Instrumentation Circuit Fig. 6: Voltage Comparator Above Fig .4,5,6 Shows how to illuminate noise from incoming PPG signal. The PPG signal coming from the photodetector is weak and noisy. So we need an amplifier and filter circuits to boost and clean the signal. In Stage I instrumentation, the signal is first passed through a passive (RC) high-pass filter (HPF) to block the DC component of the PPG signal. The second stage also consists similar HPF and LPF circuits. The two-step amplified and filtered signal is now fed to a third Opamp, which is configured as a non-inverting buffer with unity gain. The output of the buffer provides the required analog PPG signal. The potentiometer P1 can be used to control the amplitude of the PPG signal appearing at the output of the buffer stage. The fourth Opamp inside the MCP6004 device is used as a voltage comparator. The analog PPG signal is fed to the positive input and the negative input is tied to a reference voltage (VR). The magnitude of VR can be set anywhere between 0 and Vcc through potentiometer P2 (shown below). Every time the PPG pulse wave exceeds the threshold VR, the output of the comparator goes high. Thus, this arrangement provides an output digital pulse synchronous to heart beat. Note that the width of the pulse is also determined by VR. IV. CONCLUSION Wearable PPG sensors have become very popular. Although a great deal of progress has been made in the hardware and signal processing, an acceptable wearable PPG sensor device has yet to be developed. Wearable sensor like Infrared PPG sensors are easy to carry without disturbing our daily life, but these sensors gives more distortion with motion artifacts, light wavelength, contact pressure, artery stiffness. Green light sources in PPG sensors minimize motion artifacts and other problem . Different types of filters and algorithms are used to examine daily activities on limited time scale. For getting better accuracy and reproducibility of results are required to eliminate motion artifacts. Instead of Infrared PPG sensor Green LED,s gives proper results during motion artifact problem. Also it is small in size ,weightless, less in prize. ACKNOWLEDGMENTS This work was partly supported by a Dr.A.G.Joshi Sir, Krishna Hospital, Department Of Physiology, Karad 2015. REFERENCES [1] H.H. Asada, P. Shaltis, A. Reisner, S. Rhee, R.C. Hutchinson, ―Mobile monitoring with wearable photoplethysmographic biosensors,‖ IEEE Engineering in Medicine and Biology Magazine, vol. 22, no. 3, pp. 28-40, May-June 2003. [2] S. Rhee, B.H. Yang, H.H. Asada, ―Artifact-resistant power efficient design of finger-ring plethysmographic sensors,‖ IEEE Trans. Biomed. Eng., vol. 48, no. 7, pp. 795-805, July 2001. [3] Alen, J. Photoplethysmography and its application in clinical physiological measurement. Physiol. Meas. 2007, 28, R1–R39. [4] Lin, C.-H. et al.Chaos Synchronization Detector Combining Radial Basis Network for Estimation of Lower Limb Peripheral [5] Vascular Occlusive Disease. Medical Biometrics: Second International Conference, Hong-Kong, 2010. [6] Giltvedt, J.; Sita, A.; Helme, P. Pulsed multifrequency photoplethysmograph. Med. Biol. Eng. Comput. 1984, 22, 212–215. [7] Cui, W.; Ostrander, L.E.; Lee, B.Y. In vivo reflectance of blood and tissue as a function of light wavelength. IEEE Trans. Biomed. Eng. 1990, 37, 632–639. [8] Spigulis, J. Optical non-invasive monitoring of skin blood pulsations. Appl. Opt. 2005, 44, 1850–1857. [9] Rhee, S.; Yang, B.-H.; Asada, H.H. Artifact-resistant, power-efficient design of finger-ring plethysmographic sensors. IEEE Trans. Biomed. Eng. 2001, 48, 795–805. [10]Hertzman, A.B. The blood supply of various skin areas as estimated by the photoelectric plethysmograph. Amer. J. Physiol. 1938, 124, 328–340.