Potential for Health Screening Using Long-Term Cardiovascular Parameters Measured by Finger Volume-Oscillometry: Pilot Comparative Evaluation in Regular and Sleep-Deprived Activities

Yamakoshi, Takehiro; Matsumura, Kenta; Rolfe, P.; Hanaki, Shota; Ikarashi, Akira; Lee, Jihyoung; Yamakoshi, Ken-ichi

doi:10.1109/jbhi.2013.2274460

Cited by 10 publications

(6 citation statements)

References 30 publications

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“…Subsequently, pulsation signals are converted from the analog to digital form. Since the oscillometric device directly measures the arterial pulsation oscillation, the peak-to-peak intervals of the digitized pulsation signals are used for the calculation of the pulse rate (Yamakoshi et al, 2014). The calculated PR is displayed on the LCD.…”

Section: Oscillometric Methodsmentioning

confidence: 99%

Contact and Non-contact Heart Beat Rate Measurement Techniques: Challenges and Issues

Khong¹,

Mariappan²,

Chong³

2021

JST

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The heart is the most important organ in the human body as it circulates the blood throughout the body through blood vessels. In the human circulatory system, the heart beats according to the body’s physical needs. Therefore, the physical condition of a person can be determined by observing the heartbeat rate (HBR). There are plenty of methods that can be used to measure the HBR. Among the methods, photoplethysmography (PPG), electrocardiogram (ECG) and the oscillometric method are the standard methods utilised in medical institutes for continuous measurement of the HBR of a patient. Out of these three methods, PPG is the only method which has evolved to a non-contact imaging-based method from the conventional contact sensory based method. The incentive for developing the non-contact-based imaging PPG method in measuring the HBR provides the advantage of excluding the direct contact of sensors on specific body parts. This brings huge improvements to remote monitoring of healthcare especially for the purpose of social distancing. Moreover, the rapid progression of technology (particularly the interactive electronic gadgets advancement) also motivates researchers and engineers to create a mobile application using the PPG imaging method, which is feasible in measuring the HBR. Hence, this study seeks to review and present the fundamental concept, the present research and the evolution of the aforementioned methods in measuring the HBR.

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Section: Oscillometric Methodsmentioning

confidence: 99%

Contact and Non-contact Heart Beat Rate Measurement Techniques: Challenges and Issues

Khong¹,

Mariappan²,

Chong³

2021

JST

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“…2.2. Both spectral powers were obtained through the FFT (BIMUTUS II, Kissei Comtec Inc., Tokyo, Japan) using 2 14 With this S∕N value, we evaluated the quality of the PPG λ ac waveforms.…”

Section: Procedures and Experimental Designmentioning

confidence: 99%

“…At present, there is interest in using photoplethysmography for the measurement of such physiological indices as pulse rate, 8,9 blood pressure, [10][11][12][13][14] pulse volume, normalized pulse volume as an indication of peripheral vascular tone, [15][16][17] peripheral arterial stiffness, 18 tissue and skin blood flow, 19,20 blood oxygen saturation, 21,22 and cardiac output based on pulse dyedensitometry. 23 In these applications, a variety of wavelengths, from red (610 nm) through to near-infrared (∼1200 nm) have been chosen for the light source, although recent studies have demonstrated some benefits from the use of green light (about 530 nm) to achieve less motion artifact.…”

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confidence: 99%

Side-scattered finger-photoplethysmography: experimental investigations toward practical noninvasive measurement of blood glucose

et al. 2017

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The aim of this study was to discover a simple/convenient geometrical arrangement of radiation sources and detector to acquire finger-photoplethysmograms (PPGs) with wavelength regions of blood glucose (BGL) absorption, toward practical noninvasive BGL measurement. First, we compared PPGs with three wavelengths: 808 nm (without water absorption), 1160 nm (with weak water absorption), and 1600 nm (with nearly peak BGL absorption and strong water absorption), while the source-detector spacing was successively increased circumferentially around a fingertip. In 10 healthy subjects, we observed clear cardiac-related pulsatile components of PPG signals at 808 and 1160 nm in any incident positions with more than 15 dB of signal-to-noise ratio ( S / N ), but reliable PPG detections at 1600 nm with more than 10 dB of S / N was only possible when the source-detector distance was less than 3 mm around the fingertip circumference. Second, with this arrangement, an experiment was performed using six wavelengths to cover glucose absorption bands (from 1550 to 1749 nm), obtaining pulsatile PPG signals with more or less 15 dB of S / N . Through the present experiments, this orthogonal arrangement of the source and detector to detect forward- and side-scattered radiation through the tissue is appropriate for PPG measurements with wavelength regions where there is potential for BGL measurement.

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“…However, because BP can fluctuate by a significant amount ( Parati et al, 2013 ) both on a beat-by-beat basis and in the long-term, it is important that it is checked frequently, especially in the case of the hypertensive subject. Non-invasive methods for checking beat-by-beat or intermittently obtained BP are preferred, and several are currently available, such as variations of the well-known Riva-Rocci mercury sphygmomanometer, as well as volume oscillometry ( Yamakoshi et al, 1982 ; Parati et al, 2013 ; Yamakoshi et al, 2014 ), volume compensation ( Yamakoshi, Shimazu & Togawa, 1980 ; Matsumura et al, 2017 ) and tonometry ( Hansen & Staber, 2006 ).…”

Section: Introductionmentioning

confidence: 99%

Cuffless blood pressure estimation based on haemodynamic principles: progress towards mobile healthcare

Yamakoshi

Rolfe

Yamakoshi

2021

PeerJ

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Background Although cuff-sphygmomanometry is used worldwide in medical and healthcare fields, it is a fact that the use of an occlusive cuff to obtain blood pressure (BP) is troublesome and inconvenient. There have therefore been on-going efforts to devise methods that do not require the use of a cuff, almost all being based on the measurement of pulse wave velocity or pulse transit time, but so far few significant developments have been made, especially regarding measurement accuracy. We have previously reported a smartphone-based cuffless method using a linear multiple regression calibration model comprising of BP obtained with a cuff-sphygmomanometer as an objective variable and modified normalized pulse volume (mNPV: a measure of vasoconstrictive activity in a finger) and pulse rate (PR) as explanatory variables. This requires a number of subjects to construct a calibration model and thus is largely dependent on the accuracy due to the model. To address these drawbacks, we report here a new cuffless method to surpass considerably the results of our previous study as well as earlier works. Methods With this method we can estimate BP, with much higher accuracy, using mNPV and PR, both also obtained from a smartphone-derived photoplethysmogram. The subject firstly performs a cuff-based BP measurement in parallel with the acquisition of mNPV and PR from a smartphone. These parameters are set as initial values (BPc0, mNPV0 and PR0; initial calibration procedure). Then, the estimated BP (BPe) can be calculated from the relation: “BPe = (BPc0·PR·mNPV)/(PR0·mNPV0)”, which is derived from the so-called haemodynamic Ohm’s law. To validate this method, preliminary experiments using 13 volunteers were carried out to compare results from the new method with those from the cuff-sphygmomanometry, used as a reference. Results Altogether 299 paired data sets were analyzed: A good agreement was found between the cuff-based and the estimated BP values, with correlation coefficients of 0.968 for systolic BP (SBP), 0.934 for mean BP (MBP) and 0.844 for diastolic BP (DBP). Bland-Altman analyses for the BPe (SBPe, MBPe, DBPe) and the BPc (SBPc, MBPc, DBPc) values also supported these comparison results. Mean absolute differences between the BPe and the BPc values in total subjects were less than 5 mmHg. Fairly good tracking availability in terms of time series data of the BPc against the corresponding BPe values was also confirmed in each subject during the study periods (1–2 weeks for 12 subjects and about 4 months for one subject). Discussion The present study reported the successful development of the new cuffless BP estimation method, given as the status of a trial stage of investigation. This method could easily be used with various smartphones, smart watches, and finger-based devices, and it appears to have significant potential as a convenient substitute for conventional cuff-sphygmomanometers as well as for practical application to mobile healthcare.

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Potential for Health Screening Using Long-Term Cardiovascular Parameters Measured by Finger Volume-Oscillometry: Pilot Comparative Evaluation in Regular and Sleep-Deprived Activities

Cited by 10 publications

References 30 publications

Contact and Non-contact Heart Beat Rate Measurement Techniques: Challenges and Issues

Contact and Non-contact Heart Beat Rate Measurement Techniques: Challenges and Issues

Side-scattered finger-photoplethysmography: experimental investigations toward practical noninvasive measurement of blood glucose

Cuffless blood pressure estimation based on haemodynamic principles: progress towards mobile healthcare

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