scholarly journals Type 2 Diabetes Nursing Guidelines based on Wave and Energy Theories Associated with Three Distinctive Postprandial Plasma Glucose Waveforms (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 5 (2) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Medical Research ◽  
Plasma Glucose ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Metabolic Conditions ◽  
Nursing Guidelines ◽  
Diabetes Nursing

This paper summarizes tips and guidelines of optimized combination of food and exercise for type 2 diabetes (T2D) patients to control their glucoses. The dataset is provided by the author, who uses his own type 2 diabetes metabolic conditions control, as a case study via the “math-physical medicine” approach of a non-traditional methodology in medical research.

scholarly journals Using GH-Method: Math-Physical Medicine to Investigate Different Contribution Margins of Fasting Plasma Glucose vs. Postprandial Plasma Glucose on HbA1C

2020 ◽  
Vol 3 (3) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Medical Research ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Fasting Plasma ◽  
Metabolic Conditions

This paper displays results of the contribution margin calculation of fasting plasma glucose (FPG) vs. postprandial plasma glucose (PPG) on HbA1C. The dataset is provided by the author, who uses his own type 2 diabetes metabolic conditions control, as a case study via the “math-physical medicine” approach of a nontraditional methodology in medical research.

scholarly journals Using GH-Method: Math-Physical Medicine to Conduct Segmentation Analysis to Investigate the Impact of Weather Temperatures on Glucose (Both FPG And PPG)

2020 ◽  
Vol 5 (3) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Big Data ◽  
Plasma Glucose ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Segmentation Analysis ◽  
Metabolic Conditions ◽  
The Impact

This paper is based on big data collected from a period of 1,420daysfrom 6/1/2015 to 4/21/2019 with a total of 4,260 data, including highest ambient temperature (weather) of each day in degree Fahrenheit (°F), fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) in mg/dL. The dataset is provided by the author, who uses his own type 2 diabetes metabolic conditions control, as a case study via the “math-physical medicine” approach of a non-traditional methodology in medical research.

scholarly journals Using GH-Method: Math-Physical Medicine to Conduct the Accuracy Comparison of Two different Postprandial Plasma Glucosa Prediction Methods

2020 ◽  
Vol 3 (2) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Test Strip ◽  
Prediction Methods ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Accuracy Comparison ◽  
Metabolic Conditions

This paper describes the accuracy of two different methods of postprandial plasma glucose (PPG) prediction in comparison with the actual measured PPG by using the finger-piercing and test-strip (Finger) method. The dataset is provided by the author, who uses his own type 2 diabetes metabolic conditions control, as a case study via the “math-physical medicine” approach of a non-traditional methodology in medical research.

scholarly journals Using GH-Method: Math-Physical Medicine to Investigate the Impact of Different Intensity of Exercise on Postprandial Plasma Glucose (No. 65)

2020 ◽  
Vol 5 (3) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Physical Medicine ◽  
Data Set ◽  
Postprandial Plasma Glucose ◽  
Metabolic Conditions ◽  
Intensity Of Exercise ◽  
The Impact

Introduction The data-set is provided by the author, who uses his own type 2 diabetes (T2D) metabolic conditions control, as a case study via the “math-physical medicine” approach of a non-traditional methodology in medical research.

Guesstimate Probable Partial Self-Recovery of Pancreatic Beta Cells Using Calculations of Annualized Glucose Data Using GH-Method: Math-Physical Medicine

2020 ◽  
pp. 1-4
Author(s):  
Gerald C. Hsu
Keyword(s):  
Type 2 Diabetes ◽  
Beta Cells ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Pancreatic Beta Cells ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Fasting Plasma ◽  
Regeneration Capability

In this paper, the author describes his hypothesis on the probable partial self-recovery of some insulin regeneration capability of pancreatic beta cells on a Type 2 Diabetes (T2D) patient via his collected data of both Postprandial Plasma Glucose (PPG) and Fasting Plasma Glucose (FPG) during the period of 1/1/2014 to 11/23/2019.

scholarly journals Understanding glucose via postprandial plasma glucose sensor data segmentation analysis (GH-Method: math-physical medicine)

2020 ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Glucose Sensor ◽  
Sensor Data ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Data Segmentation ◽  
Segmentation Analysis ◽  
Key Characteristics

In this paper, the author analyzed and interpreted a type 2 diabetes (T2D) patient’s postprandial plasma glucose (PPG) waveforms (i.e. curve sets), data, and key characteristics, with mathematical tools to study the physical behaviors of glucose in detail, utilizing his developed GH-Method: math-physical medicine approach.

scholarly journals Biomedical Research Methodology Based on GH-Method: MathPhysical Medicine (No. 310)

2020 ◽  
pp. 1-8
Author(s):  
Gerald C Hsu ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Biomedical Research ◽  
Research Methodology ◽  
Research Work ◽  
Physical Medicine ◽  
The Past ◽  
Metabolic Conditions ◽  
Biochemical Approach

This paper discusses the author’s biomedical research work based on the GH-Method: math-physical medicine (MPM) approach over the past decade. This is significantly different from the traditional medical research using biochemical approach and simple statistical methods. He uses his own type 2 diabetes (T2D) metabolic conditions as a case study including several application examples as illustrations and explanations of the MPM methodology

scholarly journals Probable Partial Self-Recovery of Pancreatic Beta Cells Using Various Glucose Data (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Beta Cells ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Pancreatic Beta Cells ◽  
Regeneration Capacity ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Fasting Plasma

In this paper, the author describes his hypothesis on the probable self-recovery of partial insulin regeneration capacity of pancreatic beta cells of a type 2 diabetes (T2D) patient via his collected data of both postprandial plasma glucose (Finger PPG and Sensor extended baseline PPG) and fasting plasma glucose (Finger FPG) during the period of 1/1/2014 to 4/5/2020.

scholarly journals Probable Partial Self-Recovery of Pancreatic Beta Cells Using Various Glucose Data (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Beta Cells ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Pancreatic Beta Cells ◽  
Regeneration Capacity ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Fasting Plasma

In this paper, the author describes his hypothesis on the probable self-recovery of partial insulin regeneration capacity of pancreatic beta cells of a type 2 diabetes (T2D) patient via his collected data of both postprandial plasma glucose (Finger PPG and Sensor extended baseline PPG) and fasting plasma glucose (Finger FPG) during the period of 1/1/2014 to 4/5/2020.

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