New oscillometric method for indirect measurement of systolic and mean arterial pressure in the human finger. Part 2: correlation study

Yamakoshi, Ken-ichi; Shimazu, Hideaki; Shibata, Masahiro; Kamiya, Akira

doi:10.1007/bf02442798

Cited by 100 publications

(42 citation statements)

References 12 publications

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“…It has also been known that a lot of factors influence arterial wall compliance, such as arterial pressure, temperature and age [4][5]. Among them, pressure is one of the most sensitive factors [6][7][8], which is the difference between the internal pressure (Pi) and external pressure (Po), called transmural pressure. Internal pressure is the same as the blood pressure.…”

Section: Introductionmentioning

confidence: 99%

Effect of external cuff pressure on arterial compliance

Zheng

Allen

Murray

2005

Computers in Cardiology, 2005

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Section: Introductionmentioning

confidence: 99%

Effect of external cuff pressure on arterial compliance

Zheng

Allen

Murray

2005

Computers in Cardiology, 2005

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“…Systolic and mean blood pressure (SBP and MBP, respectively) were measured from the right index finger artery using the volume-oscillometric method [13]- [15]. The volume-oscillometric method is based on the nonlinear nature of the pressure-volume characteristics in the artery.…”

Section: B Measurement Principlementioning

confidence: 99%

“…The volume-oscillometric method is based on the nonlinear nature of the pressure-volume characteristics in the artery. When applying a gradual change in counter-pressure externally to the anatomical segment, characteristic changes in the amplitude of arterial volume pulsations produced by the pulse pressure are observed due to the arterial tube law [14], [15]. The determination of SBP and MBP by this method is given as the P c values corresponding to the systolic end point and the point of maximum amplitude of volume pulsation, respectively (see Fig.…”

Section: B Measurement Principlementioning

confidence: 99%

“…Briefly, measurements are taken from a single finger, using photo-plethysmography for the detection of peripheral pulse volume signals. The instrument then calculates: 1) systolic, mean and diastolic blood pressure (SBP, MBP and DBP, respectively) using the volume-oscillometric method [13] - [15]; 2) pulse pressure (PP), which is a strong predictor of increased large artery stiffness and high cardiovascular risk [16]; 3) heart rate (HR); 4) normalized pulse volume (NPV), which reflects !-adrenalin-mediated sympathetic control of the finger arteriolar vessels [17], [18]; and 5) the finger-artery elasticity index (FEI) derived from a simple descriptive model of the exponential pressure-volume function for the finger vascular bed [17], [19], modified by the volume elastic modulus [20]. These cardiovascular indices are simultaneously obtained using the present instrument and, whilst each is of interest and significant in itself, the adoption of a comprehensive method for handling the combined datasets is necessary if they are to be of practical use.…”

Section: Introductionmentioning

confidence: 99%

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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

Yamakoshi

Matsumura

Rolfe³

et al. 2014

IEEE J. Biomed. Health Inform.

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Abstract-We explored the potential of health screening based on the long-term measurement of cardiovascular parameters using the finger volume-oscillometric technique. An automated instrument made simultaneous measurements of key cardiovascular parameters, including blood pressure, pulse pressure, heart rate, normalized pulse volume as an index of α-adrenalin-mediated sympathetic activity, and finger arterial elasticity. These were derived from finger photoplethysmographic signals during application of cuff pressure. To assess the feasibility of achieving a screening function, measurements were made in ten healthy volunteers during 10 days of day-to-day living (normal condition), and carried out several times at a fixed time every day. During successive 10-day measurements, a 30-hour period of total sleep deprivation was introduced as a physiological challenge (abnormal condition). A linear discriminant analysis of the data was conducted to determine whether these two conditions could be discriminated. Periodic data collection was performed rapidly and easily, and the %-correct classifications of normal and abnormal conditions T. Yamakoshi is with the School of Mechanical Engineering, College of Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa 920-1192 Japan (e-mail: takey@staff.kanazawa-u.ac.jp).K. Matsumura and K. Yamakoshi are with the School of Mechanical Engineering, College of Science and Engineering, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa 920-1192 Japan (e-mail: kenta16moon @se.kanazawa-u.ac.jp; kyama@staff.kanazawa-u.ac.jp).P. Rolfe is with the Oxford BioHorizons Ltd., 31-33 Albion Place, Maidstone ME14 5DZ UK and the Department of Automatic Measurement and Control, Harbin Institute of Technology, 92 West Dazhi Street, Nan Gang District, Harbin 150001 China (e-mail: PeterRolfe@aol.com).S. Hanaki and J. Lee are with the Graduate School of Natural Science and Technology, Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa 920-1192 Japan (e-mail: shanaki@gmail.com; jihyoung@stu.kanazawa-u.ac. jp).A. Ikarashi is with the Department of Medical Engineering, Aino University, 4-5-4 Higashioota, Ibaraki-shi, Osaka 567-0012 Japan (e-mail: a-ikarashi@me-u.aino.ac.jp).were 78.2% and 77.5%, respectively. This ability of the method to discriminate between regular and sleep-deprived activities demonstrates its potential for healthcare screening during day-to-day living. Further investigations using larger age and gender groups of subjects including patients with cardiovascular diseases under real-life situations are required.Index Terms-blood pressure, finger-artery elasticity index, pulse pressure, heart rate, normalized pulse volume, healthcare.

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“…Using a device based on that reported by Yamakoshi et al [13,14], we attempted to show that the maximum oscillations determined by photoelectric sensors rather accurately reflect the true mean arterial pressure under a variety of conditions.…”

mentioning

confidence: 99%