https://github.com/jtb21091/moni

non-invasive blood glucose monitoring
https://github.com/jtb21091/moni

diabetes

Last synced: 18 days ago
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non-invasive blood glucose monitoring

• Host: GitHub
• URL: https://github.com/jtb21091/moni
• Owner: jtb21091
• Created: 2024-08-03T16:36:44.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-11-14T01:43:27.000Z (2 months ago)
• Last Synced: 2024-11-14T02:31:06.016Z (2 months ago)
• Topics: diabetes
• Language: Jupyter Notebook
• Homepage:
• Size: 1.75 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Moni; updated 8-26-2024

Project: to see if any data points are statistically significant in predicting interstitial fluids

Non-invasive blood glucose / interstitial fluids predictor (if any x variables are statistically significant)

Project issues: I don't have any electrical spectroscopy to measure wrist data (I used apple and fitbit watches for heart rate)

## if you want to help; please reach out; I am looking for other variables/devices to test on ~ electrical signals on wrist would be ideal

Products used:

[Link](https://www.amazon.com/gp/product/B0D456ZHQQ/ref=ppx_yo_dt_b_asin_title_o00_s00?ie=UTF8&psc=1)

![image](https://github.com/user-attachments/assets/5b2bc504-a235-41d4-b86b-ae5c81cbd7ae)

[Link](https://www.amazon.com/gp/product/B0B2ZM4PXG/ref=ppx_yo_dt_b_asin_title_o01_s00?ie=UTF8&psc=1)

![image](https://github.com/user-attachments/assets/52784e48-2504-41cf-a380-8b54ce9d8c75)

[Link](https://www.amazon.com/gp/product/B0CXSNG2W4/ref=ppx_yo_dt_b_asin_title_o01_s00?ie=UTF8&psc=1)

![image](https://github.com/user-attachments/assets/043a4b75-9fd7-4b8c-97f6-05b401cfae87)

[Link](https://www.amazon.com/gp/product/B07PQ8WTC4/ref=ppx_yo_dt_b_asin_title_o01_s00?ie=UTF8&psc=1)

![image](https://github.com/user-attachments/assets/17a3e31b-6e5c-4d44-86c4-bacc0c26a3c0)

Measure these with interstitial fluids of Medtronic 780G pump > document data in spreadsheet > run predictive analysis equations

Model(s) used: multivariate linear regression, ridge regression, polynomial regression, lasso regression, elastic net regression; Adjusted R-squared:; 

No variables show statistical significance as of today; p value < .05

=-1161.0931709756671 + (6.216162514840597 * A2) + (-0.6844709384640743 * B2) + (-0.8752494043432677 * C2) + (0.03745623235827271 * D2) + (0.7220013292763969 * E2) + (1.2956058505741308 * F2) + (12.742887131883645 * G2)

R-squared:                       0.144

Adj. R-squared:                  0.004

A2: Acetone ketones ppm

B2: Blood Pressure Top

C2: Blood Pressure Bottom

D2: Pulse

E2: Heart Rate

F2: Temperature

G2: Pulse Oxygen

![image](https://github.com/user-attachments/assets/06fdfbea-4a15-4891-9af9-4a7c5090f3c9)

Arduino using infrared data to predict interstitial fluids

Products used:

![618AQOe0NKL _AC_SL1100_](https://github.com/user-attachments/assets/2399472b-61ae-41e0-8b87-3d8eca41b736)

[https://www.amazon.com/dp/B0CD719R4M?ref=ppx_yo2ov_dt_b_fed_asin_title

](https://www.amazon.com/dp/B081CSJV2V?ref=ppx_yo2ov_dt_b_fed_asin_title&th=1)

![71+6rfcO+DL _SL1500_](https://github.com/user-attachments/assets/1bdba1cf-9245-485e-a37e-699bee3d91ff)

https://www.amazon.com/dp/B0CD719R4M?ref=ppx_yo2ov_dt_b_fed_asin_title

This method showed strong p value but low r square which shows some promise.

https://github.com/user-attachments/assets/d5aa779c-29b8-4b05-bfbd-93402fec3b7b

Blood glucose=152.93+0.0008×IR data

P-value for the model: 0.00151

Adjusted R-squared (Adj. R²): 0.111

(999.7440627574921,

 0.6610514928733869,

 '5549950781761.6504 + -168180325243.0623*Age + 0.0000*Gender + -0.7622*Acetone_ppm + -0.0468*Blood_Pressure_Top + -0.5050*Blood_Pressure_Bottom + 0.2330*Pulse + -0.1593*Heart_Rate + -0.6113*Temperature + 0.0854*Pulse_Oxygen + 0.0000*Age^2 + 0.0000*Age Gender + -25.1530*Age Acetone_ppm + -1.5437*Age Blood_Pressure_Top + -16.6643*Age Blood_Pressure_Bottom + 7.6885*Age Pulse + -5.2563*Age Heart_Rate + -20.1722*Age Temperature + 2.8191*Age Pulse_Oxygen + -0.0000*Gender^2 + -0.7622*Gender Acetone_ppm ')