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Health Analytics:

  1. The technology is based on the foundation of more than 30 years ofresearch. Decades of animal studies[1-5], lab simulations[6-9], mathematical modeling[10-17] and human clinical trials[18-23] have established the correlation between the arterial pulse spectrum and the driving force on the arterial tree of each major organ. When a heart pumps limited amount of blood carrying oxygen and nutrients, the distribution of the resource is triaged based on the feedback of the sensors in the body at that very moment.

  2. This information can be collected in just under a few minutes using a finger scan. It is commonly known that the arterial radial motion can be sensed at the ends of the ventricular-arterial system and that enables us to measure the blood pressure in our arms, wrists and hands. After the kinetic energy of the blood ejected from the heart converts to the elastic potential energy of the aortic wall, the arterial wall possesses most of the transferable energy and conducts a steady distributed under-damped forced oscillation in the radial direction[6,10,11]. The entire ventricular-arterial system performs collectively and its overall character is reflected in the blood pressure at any of the body parts[11-13]. The blood pressure is governed by the low dissipation radial momentum equation of the elastic arterial wall which makes the pulse exists even at the ends of the ventricular-arterial system[14]. The frequency analysis of the pulse contains information correlated with the force source acting on organs of specific natural frequencies[2,5,14,17].

  3. The key to the accuracy of our advanced health monitoring system is the rigorous scientific research underlying the analysis. Since 1985, researchers Dr. Wei-Kung Wang and Dr. Yuh-Ying Lin Wang have studied the relationship between the pulse waveform and blood flow throughout the body. Publications in the Journal of Medical and Biological Engineering, the Journal of Applied Physics, and the Journal of Physiology, form the foundation of the analysis used for each reading. With advances in computing technology, we are dedicated to putting that research in the hands of people around the world.

Decades of Research
Decades of Research

Granted Patents

  1. Patent Number: 5730138

    Method and apparatus for diagnosing and monitoring the circulation of blood

  2. Patent Number: US20100099957A1

    Physiological parameter monitoring device

  3. Patent Number: 7389132

    Mold-in method and apparatus

  4. Patent Number: 9149217

    Apparatus monitoring signal in situ

  5. Patent Number: 6537229

    Method and apparatus for monitoring and improving blood circulation by resonance

A List of Some Peer Reviewed Publications

  1. Animal Studies:

    • Wang SH, Jan MY, Wang WK, Wang YY. Effects of antihypertensive drugs on specific harmonic indices of the pulse waveform in normotensive Wistar Kyoto rats. Clin Exp Hypertens. 2012;34:74-8.
    • Hsu TL, Chao PT, Hsiu H, Wang WK, Li SP, Wang YY. Organ-specific ligation-induced changes in harmonic components of the pulse spectrum and regional vasoconstrictor selectivity in Wistar rats. Exp Physiol. 2006;91:163-70.
    • Hsiu H, Jan MY, Wang WK, Wang YY. Effects of whole-body mechanical stimulation at double the heart rate on the blood pressure waveform in rats. Physiol Meas. 2006;27:131-44.
    • Hsu TL, Chao PT, Jan MY, Wang WK, Li SP, Wang YY. Effects of angiotensin II on flux rise time in rats (a time index of laser Doppler flowmetry) and its relation with microvascular structures. Microvasc Res. 2008;75:211-6.
    • Jan M-Y, Hsiu H, Hsu T-L, Wang W-K, Wang Y-YL. The Physical Conditions of Different Organs Are Reflected Specifically in the Pressure Pulse Spectrum of the Peripheral Artery. Cardiovascular Engineering. 2003;3:21-9.

  2. Lab Simulations:

    • Wang Y-YL, Sze W-K, Lin C-C, Chen J-M, Houng C-C, Chang C-W, et al. Examining the response pressure along a fluid-filled elastic tube to comprehend Frank’s arterial resonance model. Journal of Biomechanics. 2015.
    • Wang YY, Wang GC, Chen YH, Guo DJ, Wang WK. The eccentric position of the heart in the mammalian body and optimal energy transfer in single tube models. Physiol Meas. 2005;26:99-108.
    • Hsu TL, Hsiu H, Chao PT, Li SP, Wang WK, Wang YY. Three-block electrical model of renal impedance. Physiol Meas. 2005;26:387-99.
    • Wang YY, Jan MY, Wang GC, Bau JG, Wang WK. Pressure pulse velocity is related to the longitudinal elastic properties of the artery. Physiol Meas. 2004;25:1397-403.

  3. Mathematical Modeling:

    • Lin Wang YY, Wang WK. From a basic principle of evolution to the heart rate of mammals. J Physiol. 2015;593:2241-2.
    • Lin Wang YY, Wang WK. Anatomy of arterial systems reveals that the major function of the heart is not to emit waves associated with the axial blood motion. The Journal of physiology. 2014;592:409.
    • Wang Y-YL, Wang W-K. A hemodynamics model to study the collective behavior of the ventricular-arterial system. J Appl Phys. 2013;113:024702.
    • Wang YYL, Hsu TL, Jan MY, Wang WK. Theory and Applications of the Harmonic Analysis of Arterial Pressure Pulse Waves. J Med Biol Eng. 2010;30:125-31.
    • Wang YYL, Sze WK, Bau JG, Wang SH, Jan MY, Hsu TL, et al. The ventricular-arterial coupling system can be analyzed by the eigenwave modes of the whole arterial system. Appl Phys Lett. 2008;92.
    • Wang YYL, Chiu WB, Jan MY, Bau JG, Li SP, Wang WK. Analysis of transverse wave as a propagation mode for the pressure pulse in large arteries. J Appl Phys. 2007;102.
    • Wang YYL, Jan MY, Shyu CS, Chiang CA, Wang WK. The natural frequencies of the arterial system and their relation to the heart rate. Ieee T Bio-Med Eng. 2004;51:193-5.
    • Wang YY, Chang SL, Wu YE, Hsu TL, Wang WK. Resonance. The missing phenomenon in hemodynamics. Circ Res. 1991;69:246-9.

  4. Human Clinical Trials:

    • Hsiu H, Hsu CL, Chen CT, Hsu WC, Lin FC. Effects of acupuncture on the harmonic components of the radial arterial blood-pressure waveform in stroke patients. Biorheology. 2013;50:69-81
    • Hsiu H, Hsu WC, Hsu CL, Huang SM. Assessing the effects of acupuncture by comparing needling the hegu acupoint and needling nearby nonacupoints by spectral analysis of microcirculatory laser Doppler signals. Evidence-based complementary and alternative medicine : eCAM. 2011;2011:435928.
    • Hsu TL, Chiang Y, Wang WK, Chao PT, Bao JG, Wang YY. Pulse Analysis as a Possible Real-Time Biomarker Complementary to SGPT and SGOT for Monitoring Acute Hepatotoxicity. Toxicol Mech Methods. 2003;13:181-6.
    • Wang WK, Tsuei J, Chang HC, Hsu TL, Wang YY. Pulse spectrum analysis of chemical factory workers with abnormal blood test. The American journal of Chinese medicine. 1996;24:199-203.
    • Lu WA, Cheng CH, Lin Wang YY, Wang WK. Pulse spectrum analysis of hospital patients with possible liver problems. The American journal of Chinese medicine. 1996;24:315-20.
    • Chen CY, Wang WK, Kao T, Yu BC, Chiang BC. Spectral analysis of radial pulse in patients with acute, uncomplicated myocardial infarction. Jpn Heart J. 1993;34:131-43.
    • Wang Y-YL, Wang W-K. Why the cardiovascular studies should start with the radial oscillation of arterial wall rather than from axial flow motion of blood. International journal of cardiology 2018.
    • Lin Wang YY, Wang WK. Did you know How the cardiovascular system achieves its high efficiency as a compound irrigation device and why this is relevant to future cardiovascular studies. Acta Physiologica 2018.
    • Chang C-W, Liao K-M, Chen Y-C, Wang S-H, Jan M-Y, Wang G-C. Radial pulse spectrum analysis as risk markers to improve the risk stratification of silent myocardial ischemia in Type 2 diabetic patients. IEEE journal of translational engineering in health and medicine 2018.
    • Chang C-W, Liao K-m, Chang Y-T, Wang S-H, Chen Y-c, Wang G-C. The effect of radial pulse spectrum on the risk of major adverse cardiovascular events in patients with type 2 diabetes. Journal of diabetes and its complications 2018.
    • Chang C-W, Liao K-m, Chang Y-T, Wang S-H, Chen Y-c, Wang G-C. The First Harmonic of Radial Pulse as an Early Predictor of Silent Coronary Artery Disease and Adverse Cardiac Events in Type 2 Diabetic Patients. Cardiology research and practice 2018.

  5. Media Reporting