cell-therapy-public-health-congress-2019-tracks

3 / 12

Page 23
April 15-16, 2019 | Milan, Italy
OF EXCELLENCE
IN INTERNATIONAL
MEETINGS
YEARS
Joint Event on &
PUBLIC HEALTH,
EPIDEMIOLOGY AND NUTRITION
2nd World Congress on
CELL AND GENE THERAPY
2nd International Conference on
Cell and Gene Therapy 2019 & Public Health Congress 2019 Archives of General Internal Medicine | ISSN: 2591-7951 | Volume 3
USINGWAVE AND ENERGY THEORIES ON FINE-TUNING FOOD AND EXERCISE TO
CONTROL PPG (MATH-PHYSICAL MEDICINE)
Gerald C Hsu
EclaireMD Foundation, USA
Introduction: The author conduct big data analytics of food exercise and derived practical tips for controlling
postprandial plasma glucose wave.
Methods: He used both optical physics and signal processing techniques to develop PPG prediction model.
He realized weight is merely a physical representation of internal energy exchange in human body. The energy
infusion comes mainly from food, whereas energy diffusion mainly via exercise and activities. We should avoid
having energy imbalance (disequilibrium); otherwise, the excessive (left-over) energy will damage our internal
organs. In addition to his collected ~1.5M metabolism data and ~8M food/meal data, he further collected ad-
ditional 14,400 glucose data during 174 days (5/5/2018-10/25/2018 with 80 measurements / day). He observed
and analyzed these glucose waveforms and phenomena in detail using wave and energy theories from physics
and engineering and also calculated their associated energy levels. Finally, he identified some practical ways
to either avoid the building-up of ultrahigh amplitude of glucose wave or wearing off its cumulative energy
quickly.
Results: He developed a few computational formulas and practical tips as stated below to “fine-tune” both
energy infusions by food and energy diffusion through exercise in order to “wear-off” the excessive energy
generated by glucose. He also identified a reasonable energy perturbation range (-7% to +17%); Predict PPG
level before eatingmeal; don’t eat >30 grams of carbs/sugar eachmeal. It can push PPG peak above 160 mg/dL;
walk minimum 1500 steps after each meal, 4,000 steps for severe diabetes patients. More rigorous exercise can
bring down PPG peak value, but stretch walking period can wear off energy to make glucose waveform look
like a “Grand Canyon” shape which still has a high amplitude but contains much less energy; don’t eat snacks
too close to next meal to avoid building a glucose waveform similar to “Himalaya Mountain” shape which indi-
cates massive energy.
Conclusion: His method and practical tips can“fine-tune”the energy infusion caused by food and energy diffu-
sion (post-meal walking) and provide guidance to T2D patients for achieving a better PPG control.
Gerald C Hsu, Arch Gen Intern Med 2019, Volume 3 | DOI: 10.4066/2591-7951-C2-026
Gerald C Hsu received an honorable PhD in Mathematics and majored in Engineering at MIT. He attended different universities over
17 years and studied seven academic disciplines. He has spent 20,000 hours in T2D research. First, he studied six metabolic diseases
and food nutrition during 2010-2013, then conducted research during 2014-2018. His approach is “math-physics and quantitative
medicine”based on mathematics, physics, engineering modelling, signal processing, computer science, big data analytics, statistics,
machine learning and AI. His main focus is on preventive medicine using prediction tools. He believes that the better the prediction,
the more control you have.
BIOGRAPHY