Using GH-Method: math-physical medicine and signal processing techniques to predict PPG

NO. 019

Comparison of Characteristics between FPG and PPG via both Time-Series and Frequency Domain Analyses of GH-Method: math-physical medicine

NO. 020

Revaluation of FPG Prediction & Major Contributing Factor Using Frequency Domain Analysis of GH-Method: math-physical medicine

NO. 021

Re-evaluation of FPG & PPG Predictions and their Major Contributing Factors Using Frequency Domain Analysis of GH-Method: math-physical medicine

NO. 022

Re-evaluation of Both FPG and PPG Predictions and Their Major Contributing Factors Using Frequency Domain Analysis of GH-Method: math-physical medicine

NO. 023

A Clinical Case of Using GH-Method: math-physical medicine to Control Metabolic Conditions and Complications via Lifestyle Management

Using GH-Method: math-physical medicine and energy theory to re-examine the relationship with food, exercise, and postprandial plasma glucose

NO. 038

Using GH-Method: math-physical medicine and Wave/Energy Theories to identify practical tips of diet & exercise associated with three distinctive PPG waveform patterns

Investigating wave and energy of glucose waveforms to control glucose fluctuation via optimized combination of food and exercise (GH-Method: math-physical medicine)

Comparison of two postprandial plasma glucose measurements including finger-piercing and continuous sensor monitoring (GH-Method: Math-Physical Medicine)

Using GH-Method: math-physical medicine to Conduct Segmentation Analysis to Investigate the Impact of both Weight and Weather Temperatures on Fasting Plasma Glucose (FPG)

Using GH-Method: math-physical medicine to Conduct Segmentation Analysis to Investigate the Impact of both Weight and Weather Temperatures on Fasting Plasma Glucose (FPG)

Using GH-Method: Math-Physical Medicine to Conduct Segmentation Analysis to Investigate the Impact of Low-Carbs and High-Carbs Diets on Postprandial Plasma Glucose (PPG)

Using GH-Method: Math-Physical Medicine to Conduct Segmentation Analysis to Investigate the Impact of Different Intensity of Exercise on Postprandial Plasma Glucose (PPG)

Using GH-Method: Math-Physical Medicine to develop a simple yet practical guidelines of carbs/sugar intake amount and post-meal walking steps in order to control Postprandial Plasma Glucose (PPG)

Using Candlestick Charting, Segmentation Pattern Analysis, and GH-Method: Math-Physical Medicine to calculate Effective Glucoses based on Finger-Piercing Glucose Measurement

Using GH-Method: Math-Physical Medicine, Fourier Transform, and Frequency Segmentation Pattern Analysis to Investigate Relative Energy Associated with Glucose

Using three analysis methods: Time-Series, Spatial, and Frequency-Domain to analyze and forecast key diabetes biomedical variables (GH-Method: Math-Physical Medicine)

Using a Modified Candlestick Charting Technique, OHCA Model, and the Synthesized PPG Waveform to Develop Two Simple Formulas for PPG Prediction (GH-Method: Math-Physical Medicine)

Four clinic cases regarding estimation of PPG upper-bound values from sensor measurements to include both different stages of initial condition of type 2 diabetes and hyperglycemia control efforts (GH-Method: Math-Physical Medicine)

NO. 091B

Four clinic cases regarding estimation of PPG upper-bound values from sensor measurements (OHCA model) to include both different stages of initial condition of type 2 diabetes and hyperglycemia control efforts (GH-Method: Math-Physical Medicine)

Using two clinical glucose measurement datasets (finger glucose as lower bound and sensor glucose as upper bound) to establish a rational range of HbA1C values for T2D patients (GH-Method: math-physical medicine)

A case study of the impact on glucose, particularly postprandial plasma glucose based on the 14-day sensor device reliability (using GH-Method: math-physical medicine)

Applying segmentation pattern analysis to investigate postprandial plasma glucose characteristics and behaviors of the carbs/sugar intake amounts in different eating places (GH Method: math-physical medicine)

NO. 151

Geographical segmentation analysis of Sensor PPG data by nations and eating places (GH Method: math-physical medicine)

HbA1C conversion using ADA formula of eAG (based on both finger glucose and sensor glucose) and comparison with eclaireMD mathematically developed A1C model results (GH-Method: math-physical medicine)

The analysis of the ADA defined TIR, TAR, and TBR based on 5-minute measurement intervals of the CGM sensor glucose data using GH-Method: Math-physical medicine

Predicting Finger PPG by using Sensor PPG waveform and data via regression analysis with two different methods, matching time and matching glucose (GH-Method: math-physical medicine)

Comparison of glucoses and HbA1C values between finger-piercing and sensor collected at 15-minute and 5-minute intervals using GH-Method: math-physical medicine

Segmentation and pattern analyses for three meals of postprandial plasma glucose values and associated carbs/sugar amounts using GH-Method: math-physical medicine

Influences from medication and lifestyle on glucose and metabolism during two equal length of 4-years but different sub-periods, one with-medication and the other without-medication using GH-Method: math-physical medicine

A detailed illustration on the prediction accuracy of postprandial plasma glucose value using a sample lunch meal via GH-Method: math-physical medicine

Extended comparison study among lab-tested HbA1C, ADA’s eAG HbA1C conversion model, and eclaireMD mathematical HbA1C prediction model based on the lower bound and higher bound of measured glucoses using GH-Method: math-physical medicine

Continuous Glucose Monitoring Sensor postprandial plasma glucose waveform study of breakfasts at McDonald’s using the GH-Method: math-physical medicine

A case report of observational comparison sensor study of US cooked meals postprandial plasma glucose and worldwide fasting plasma glucose between pre-Virus and Virus periods using GH-Method: math-physical medicine

NO. 345

Application of linear equations to predict sensor and finger based postprandial plasma glucoses and daily glucoses during pre-Covid-19, Covid-19, and total periods using GH-Method: math-physical medicine

NO. 348

A Case Study on the Prediction of A1C Variances over Seven Periods with guidelines Using GH-Method: math-physical medicine

Lifestyle medicine practice to diagnose the relationship between sleep patterns and glucoses of three type 2 diabetes patients using GH-Method: math-physical medicine

Applying linear elastic glucose behavior theory and AI auto-correction to predict A1C Variances over the ninth period using GH-Method: math-physical medicine

The differences in characteristics and energy levels associated with different glucose frequency components of 5-minute and 15-minute measurement time intervals from the continuous glucose monitor device using GH-Method: math-physical medicine

Study of triglyceride and glucose index biomarker (TyG) for diabetes control through improvement on insulin resistance using GH-Method: math-physical medicine

Using a newly redefined biomarker, triglyceride and glucose index biomarker (New TyG), as an alternative tool for diabetes patients to control their insulin resistance conditions based on GH-Method: math-physical medicine

A study on the relationships between body weight versus triglyceride, fasting plasma glucose, along with triglyceride and glucose index biomarker based on GH-Method: math-physical medicine

A summary report of two biomarkers for triglyceride and glucose index (TyG) and accuracy sensitivity analysis in estimating the insulin resistance status based on GH-Method: math-physical medicine

NO. 393

Time In Range, Time Above Range, and Time Below Range analyses of the sensor collected glucoses for a period of approximately 3 years covering the pre-virus and COVID-19 periods using GH-Method: math-physical medicine