A photoplethysmography (PPG) platform integrated with a miniaturized force-regulator is proposed in this study. Because a thermo-pneumatic type regulator maintains a consistent contact-force between the PPG probe and the measuring site, a consistent and stable PPG signal can be obtained. We designed and fabricated a watch-type PPG platform with an overall size of 35 mm × 19 mm. In the PPG measurement on the radial artery wrist while posture of the wrist is changed to extension, neutral, or flexion, regulation of the contact-force provides consistent PPG measurements for which the variations in the PPG amplitude (PPGA) was 7.2 %. The proposed PPG platform can be applied to biosignal measurements in various fields such as PPG-based ANS monitoring to estimate nociception, sleep apnea syndrome, and psychological stress.

Photoplethysmography (PPG)1 is an optical measurement technique that can be used to monitor volumetric changes in the microvascular bed of tissue. The intensity of light reflected from or transmitted to the tissue is proportional or inversely proportional to the microvascular volume. PPG is generally used for real-time physiological status monitoring1 such as blood oxygen level, heart rate, blood pressure and cardiac output. Because the PPG signal contains information related to the peripheral blood circulation, including skin vasomotion, which is controlled by the sympathetic nervous system,2 behavior of blood vessels are closely related to the autonomous nervous system (ANS).3,4 Therefore, a PPG signal that includes the amplitude (PPGA) and the interval (PPGI) can also be used to analyze and estimate nociception,2,5,6 sleep apnea syndrome,7 and psychological stress.8,9 For example, nociception stimulates the ANS, causing higher heat rate and peripheral vasoconstriction.6 Psychological stress also induces the increases in ANS-related cardiovascular responses such heart rate and blood pressure.10 Such PPG signals, however, are affected by a number of factors,11–13 such as optical absorption and reflection of the skin tissue, motion artifacts, respiratory status, environmental light, etc.

Over the other factors, the contact-force between the PPG probe and the tissue greatly influences the PPG signals.14–17 In particular, an external force with a contact-force range of 0.2 ∼ 1.8 N applied by the PPG probe deforms the blood vessels causing a change in the PPGA in the amount of about 70 %.18 Although conventional PPG sensors are pressed against the skin with a spring-chip19,20 or a stretchable band,21–23 the contact-force still changes due to the subject’s slight posture changes24 such as wrist extensions or flexions. Because of this vulnerability from the contact-force, an ANS monitor based on PPG has been mainly applicable to patients under general anesthesia who are motionless.2,5 To increase the reliability of the PPG signals, effective methods that reduce the dependency of the contact-force are required.

In previous studies,25–28 contact-force compensation for a PPG signal using correction factors had been proposed. However, the correction factors have wide variations among individuals due to the differences in the elastic characteristics of the skin tissue and the blood vessel compliance, etc. In this paper, we propose a PPG platform integrated with a thermo-pneumatic type regulator to regulate the contact-force during the measurement. The platform monitors the contact-force between the PPG probe and the skin and adjusts the displacement of the probe to maintain a constant contact-force, thus providing reliable PPG signals even during changes in body posture.

Figure 1 shows the overall structure of the force-regulator integrated PPG platform. The present PPG platform, designed to measure PPG signal on the wrist, consists of a force-regulator, a main body, a force sensor, and a PPG probe (see Fig. 1(a)). A wrist is the most common site offering high comfortability for patients. We chose a radial artery showing highest PPG measurement sensitivity among the measuring sites on wrist. A thermo-pneumatic actuator29–32 for which thermal energy is converted to mechanical energy by an expansion fluid is chosen as a force-regulator. It has the advantages of being able to generate a force up to 2 N and is easily integrated into the portable PPG platform. The force-regulator consists of an expansion cavity, a heater layer, and a deformable membrane. The fluid expansion in the cavity is controlled by the electrical power at the heater. The phase transition of the fluid between liquid and gas causes a significant change in the pressure in the cavity and consequently, the force at the deformable membrane.30,31 The expansion fluid is a performance fluid (PF-5060, 3M, USA), which is a clear, colorless, and non-toxic liquid with a low boiling temperature of 56 °C. The micromachined gold electrode on a glass substrate with a resistance of 30 Ω serves as a heater with an effective heating size of 5 mm × 22 mm. The deformable membrane is a stretchable latex rubber (G5, Kimberly-Clark, USA) with a thickness of 0.2 mm. The contact-force is measured by the conductance change at a flexible sensor (FlexiForce A201, Tekscan, USA) with a thickness of 0.2 mm. The conductance of the force sensor was measured as proportional to the applied force in the range of 0.2 ∼ 4.0 N. For the measurement of the PPG signal, a reflective-type module (RP520, LAXTHA Inc., Korea) was placed at the bottom of the platform.

FIG. 1.

Force-regulator integrated PPG platform: (a) schematic view of the overall structure; (b) contact-force regulation.

FIG. 1.

Force-regulator integrated PPG platform: (a) schematic view of the overall structure; (b) contact-force regulation.

Close modal

Figure 1(b) shows the operation procedure of the PPG platform. Initially, the PPG probe is above the measuring site. As the gold electrode is heated, deformation of the membrane begins, and the PPG probe moves down. During the PPG measurement, the force sensor continuously monitors the contact-force, and the electric power supplied to the heater is controlled to maintain a constant force. Figure 2 shows the fabricated force-regulator integrated PPG platform. The total size of the current PPG platform is 35 mm in diameter and 19 mm in thickness. The PPG platform can be worn on the wrist like a watch (Fig. 2(b)). A programmable sourcemeter (2459, Keithley Instruments, USA) was connected to the electrode and supplied electrical power up to 3 W. A data acquisition (DAQ) board (NI-USB-6212, National Instruments, USA) was connected to the force sensor and the PPG modules. A customized Labview (National Instruments, USA) based program was developed to control the contact-force and signal analysis.

FIG. 2.

Fabricated PPG platform: (a) top and bottom views; (b) a human wrist wearing the PPG platform.

FIG. 2.

Fabricated PPG platform: (a) top and bottom views; (b) a human wrist wearing the PPG platform.

Close modal

To verify the effect of regulating the contact-force on the PPG measurement, we compared two PPG signals from a healthy subject (IRB approval number: KRISS-IRB-2017-04) for two cases: 1) without and 2) with contact-force regulation. The PPG platform was placed on the radial artery wrist (see Fig. 2(b)), and the subject sat on a chair comfortably and placed his arm on a desk at the height of his chest. To change the contact-force condition, the wrist changed its posture according to the measurement stages shown in Figure 3(a). At the same time, the PPG platform measured the contact-force and PPG signal, simultaneously. For the contact force regulation, the target contact force was determined as 0.6 N which showed the highest amplitude for the subject. We analyzed PPGA and PPGI through the experimenter’s eye-inspections based on the general guidelines of PPG waveform configurations.3 As shown in Figure 3(b), the contact-force showed a significant difference depending on the wrist posture without contact-force regulation. Average contact-forces for each measurement stage were measured as 0.45 ± 0.01, 1.01 ± 0.01, 0.40 ± 0.02, 0.56 ± 0.03, and 0.30 ± 0.01 N, respectively. Coefficient of variation (CV), defined as a ratio of the standard deviation to the average, was calculated as 50.9 % for the five stages. Even in each posture, the contact-force showed noticeable variation with a maximum difference of 0.154 N. This amount of difference in the contact-force could result in over a 10 % change in the PPGA.17 Due to the variation in the contact-force, the PPG signal exhibits an inconsistent profile through the measurement stages (Fig. 3(b)).

FIG. 3.

Measured contact-force and PPG signal depending on the wrist posture: (a) five different measurement stages categorized by wrist postures: neutral, extension, flexion; (b) measurement without the contact-force regulation; (c) measurement with the contact-force regulation, where the target force was set as 0.6 N.

FIG. 3.

Measured contact-force and PPG signal depending on the wrist posture: (a) five different measurement stages categorized by wrist postures: neutral, extension, flexion; (b) measurement without the contact-force regulation; (c) measurement with the contact-force regulation, where the target force was set as 0.6 N.

Close modal

The regulation of the contact-force, however, provided a constant contact-force of 0.6 N between the PPG module and the skin shown in Fig. 3(c). The contact-forces for each measurement stage were measured as 0.60 ± 0.01, 0.62 ± 0.03, 0.61 ± 0.01, 0.60 ± 0.02, and 0.62 ± 0.01 N, respectively, with 1.8% of CV. During the regulation of the contact-force, the PPGA level also appeared to be consistent at every stage because the contact-force was consistent despite the changes in the wrist posture. Figure 4 shows a detailed comparison of the PPG signals between the two cases. For each measurement stage, average PPGAs without and the regulation of the contact-force were 43.2 % and 7.2% of the CV, respectively, (Fig. 4(a)). When comparing the PPGI (Fig. 4(b)), regulating the contact-force also reduced the CV from 8.4 % to 1.0 %. In the case of PPGI, no significant effects were observed when regulating the contact-force. Generally, the interval of the PPG (PPGI) was less sensitive to the signal intensity variation the than the amplitude (PPGA), but the variation near the PPG peak point causes an error in the PPGI detection.

FIG. 4.

PPG signals depending on the wrist posture changes (Stage 1∼5 in Fig. 3): (a) PPG amplitude (PPGA); (b) PPG interval (PPGI).

FIG. 4.

PPG signals depending on the wrist posture changes (Stage 1∼5 in Fig. 3): (a) PPG amplitude (PPGA); (b) PPG interval (PPGI).

Close modal

In order to confirm the contact force dependency of the PPGI and PPGA, PPG signals were additionally measured for the 4 subjects, where the PPG platform was placed on the radial artery wrist changing its posture according to the measurement stages shown in Figure 3(a). Table I shows the measurement values and coefficient of variation (CV). From the results, CV of PPGA showed significantly high value with 82.6 % ± 67.1 %, meaning that PPGA is highly dependent on the contact force. On the other hand, CV of PPGI showed 5.7 % ± 3.2 %, indicating that PPGI does not critically affected by the contact force. This variation can be because of the subject’s physiological states.

TABLE I.

Coefficient of Variation (CV) of PPGA and PPGI of the 4 different subjects for the wrist posture changes of Fig. 3(a).

Subject 1Subject 2Subject 3Subject 4Average ± St. dev
CV of PPGA 43.2 % 181.6 % 39.3 % 66.2 % 82.6 % ± 67.1 % 
CV of PPGI 8.4 % 4.1 % 1.9 % 8.2 % 5.7 % ± 3.2 % 
Subject 1Subject 2Subject 3Subject 4Average ± St. dev
CV of PPGA 43.2 % 181.6 % 39.3 % 66.2 % 82.6 % ± 67.1 % 
CV of PPGI 8.4 % 4.1 % 1.9 % 8.2 % 5.7 % ± 3.2 % 

This paper focused on contact force between the probe and the skin when the condition of wrist posture is changed. To obtain the more constant conditions for PPG measurement, anatomical factors such as tissue tension, artery vessel tension, artery vessel diameter, local blood volume/velocity should be further investigated in order to obtain better measurement conditions.

Previous contact force compensation studies corrected the measurement value based on the correction coefficients which are different person to person. Therefore, the compensation methods required individualization process, limiting the measurement accessibility for the broad population of users. Meanwhile, the present method using contact force regulation prevents contact force variation in advance, capable to effectively cancel the contact force effect without any individual specific coefficient factors.

In conclusion, we proposed a force-regulator integrated PPG platform capable of maintaining a consistent contact-force during a measurement. By using contact-force regulation based on a feedback algorithm, the proposed PPG platform shows an improved PPG measurement for which the variation in the PPGA was reduced from 43.2 % to 7.2 % despite the changes in the wrist posture. The proposed PPG platform can be applied to biosignal measurements in various fields such as PPG-based ANS monitoring to estimate nociception, sleep apnea syndrome, and psychological stress.

This work was supported by the Korea Research Institute of Standards and Science under the project “Establishment of measurement standards for medical metrology”, grant 18011083, and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (grant 17442002).

1.
J.
Allen
, “
Photoplethysmography and its application in clinical physiological measurement
,”
Physiol. Meas.
28
,
R1
R39
(
2007
).
2.
I.
Korhonen
and
A.
Yli-Hankala
, “
Photoplethysmography and nociception: Review article
,”
Acta Anaesthesiol. Scand.
53
,
975
985
(
2009
).
3.
R.
Cowen
,
M. K.
Stasiowska
,
H.
Laycock
, and
C.
Bantel
, “
Assessing pain objectively: The use of physiological markers
,”
Anaesthesia
70
,
828
847
(
2015
).
4.
M.
Nitzan
,
A.
Babchenko
,
B.
Khanokh
, and
D.
Landau
, “
The variability of the photoplethysmographic signal—A potential method for the evaluation of the autonomic nervous system
,”
Physiol. Meas.
19
,
93
102
(
1998
).
5.
M.
Gruenewald
and
C.
Ilies
, “
Monitoring the nociception-anti-nociception balance
,”
Best Pract. Res. Clin. Anaesthesiol.
27
,
235
247
(
2013
).
6.
K.
Hamunen
 et al., “
Effect of pain on autonomic nervous system indices derived from photoplethysmography in healthy volunteers
,”
Br. J. Anaesth.
108
,
838
844
(
2012
).
7.
E.
Gil
,
J.
María Vergara
, and
P.
Laguna
, “
Detection of decreases in the amplitude fluctuation of pulse photoplethysmography signal as indication of obstructive sleep apnea syndrome in children
,”
Biomed. Signal Process. Control
3
,
267
277
(
2008
).
8.
M.
Abbod
,
Y. R.
Chiou
,
S. H.
Yang
,
S. Z.
Fan
, and
J. S.
Shieh
, “
Developing a monitoring psychological stress index system via photoplethysmography
,”
Artif. Life Robot.
16
,
430
433
(
2011
).
9.
A. K. A.
Verma
,
Robust Algorithm for Estimating the Balance of Autonomic Nervous System with Application to Mental Fatigue Detection using Photoplethysmographic (PPG) Signals
(
The University of Texas at El Paso
,
2014
).
10.
R.
Sloan
 et al., “
Effect of mental stress throughout the day on cardiac autonomic control
,”
Biol. Psychol.
37
,
89
99
(
1994
).
11.
A. Y. K.
Timimi
and
M. A. M.
Ali
, “
Sensor factors influencing photoplethysmography
,”
IEEE Asia-Pacific Conf. Circuits Syst. Proceedings, APCCAS 2015–Febru
,
415
418
(
2015
).
12.
K.
Pilt
,
K.
Meigas
,
R.
Ferenets
,
K.
Temitski
, and
M.
Viigimaa
, “
Photoplethysmographic signal waveform index for detection of increased arterial stiffness
,”
Physiol. Meas.
35
,
2027
2036
(
2014
).
13.
T.
Tamura
,
Y.
Maeda
,
M.
Sekine
, and
M.
Yoshida
, “
Wearable photoplethysmographic sensors—Past and present
,”
Electronics
3
,
282
302
(
2014
).
14.
H.
Hsiu
,
C.-L.
Hsu
, and
T.-L.
Wu
, “
Effects of different contacting pressure on the transfer function between finger photoplethysmographic and radial blood pressure waveforms
,”
Proc. Inst. Mech. Eng. Part H J. Eng. Med.
225
,
575
583
(
2011
).
15.
R. P.
Dresher
and
Y.
Mendelson
, “
Reflectance forehead pulse oximetry: Effects of contact pressure during walking
,” in
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
3529
3532
(
2006
).
16.
A.
Grabovskis
,
Z.
Marcinkevics
,
U.
Rubins
, and
E.
Kviesis-Kipge
, “
Effect of probe contact pressure on the photoplethysmographic assessment of conduit artery stiffness
,”
J. Biomed. Opt.
18
,
27004
(
2013
).
17.
X.-F.
Teng
and
Y.-T.
Zhang
, “
Theoretical study on the effect of sensor contact force on pulse transit time
,”
IEEE Trans. Biomed. Eng.
54
,
1490
1498
(
2007
).
18.
X. F.
Teng
and
Y. T.
Zhang
, “
The effect of contacting force on photoplethysmographic signals
,”
Physiol. Meas.
25
,
1323
1335
(
2004
).
19.
S.
Rhee
,
B.-H.
Yang
, and
H. H.
Asada
, “
Artifact-resistant, power-efficient design of finger-ring plethysmographic sensors. I. Design and analysis
,” in
Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143)
4
,
2792
2795
(
2000
).
20.
D.-H.
Lee
,
Y.-S.
Hong
, and
S.-S.
Lee
, “
Development of oriental-western fusion patient monitor by using the clip-type pulsimeter equipped with a Hall sensor, the electrocardiograph, and the photoplethysmograph
,”
J. Korean Magn. Soc.
23
,
135
(
2013
).
21.
M.
Ghamari
 et al., “
Design and prototyping a wristband-type wireless photoplethsmograph device for heart rate variability signal analysis
,”
IEEE
4967
4970
(
2016
).
22.
X.
Teng
,
Y.
Zhang
,
C.
Poon
, and
P.
Bonato
, “
Wearable medical systems for p-health
,”
IEEE Rev. Biomed. Eng.
1
,
62
74
(
2008
).
23.
S. S.
Thomas
,
V.
Nathan
,
C.
Zong
,
K.
Soundarapandian
, and
X.
Shi
, “
BioWatch: A non-invasive wrist-based blood pressure monitor that incorporates training techniques for posture and subject variability
” (
2015
).
24.
D. B.
McCombie
,
A. T.
Reisner
, and
H. H.
Asada
, “
Motion based adaptive calibration of pulse transit time measurements to arterial blood pressure for an autonomous, wearable blood pressure monitor
,” in
Conference proceedings : 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
2008
,
989
92
(
2008
).
25.
P.
Santos
,
V.
Almeida
,
J.
Cardoso
, and
C.
Correia
, “
Photoplethysmographic logger with contact force and hydrostatic pressure monitoring
,”
3rd Port. Bioeng. Meet. ENBENG 2013-B. Proc.
(
2013
).
26.
J. K.
Sim
,
S.
Youn
, and
Y.-H.
Cho
, “
A thermal peripheral blood flowmeter with contact force compensation
,”
J. Micromechanics Microengineering
22
,
125014
(
2012
).
27.
F.
Miele
,
R.
Mucci
, and
S.
Gallant
, “
Method and apparatus for assessing hemodynamic parameters within the circulatory system of a living subject
” (
2003
).
28.
J.
Lee
 et al., “
Compensation of PPG signal distortion due to pressure using FSR sensors
,” in
Proceedings of the Korean Society of Computer Information Conference
(ed. The Korean Society Of Computer And Information)
281
282
(
2013
).
29.
J. K.
Sim
,
S.
Yoon
, and
Y.
Cho
, “
Wearable sweat rate sensors for human thermal comfort monitoring
,”
Sci. Rep.
in press, (
2018
).
30.
H. J.
Kwon
,
S. W.
Lee
, and
S. S.
Lee
, “
Braille dot display module with a PDMS membrane driven by a thermopneumatic actuator
,”
Sensors Actuators, A Phys.
154
,
238
246
(
2009
).
31.
J. K.
Sim
and
Y. H.
Cho
, “
Portable sweat rate sensors integrated with air ventilation actuators
,”
Sensors Actuators, B Chem.
234
,
176
183
(
2016
).
32.
C. H.
Je
,
T. G.
Kang
, and
Y. H.
Cho
, “
Droplet-volume-adjustable microinjectors using a digital combination of multiple current paths connected to single microheater
,”
J. Microelectromechanical Syst.
18
,
884
891
(
2009
).