Molecool:Journal

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Weekly Plan

Week 1

Objective

• Understand the basics of HRV
• Research on the clinical applications of HRV and related field
• Find databases that we can use to actually test our programs on
• Think about the relevant customers that we can interview (e.g. Diabetics for diabetes, clinicians to ask about what is useful for doctors/clinicians)

Week 2

Objective

• Further research on HRV with different diseases
  • Diabetes
  • Parkinson’s Diseases
  • Anxiety and mental disorder levels
  • COVID-19
  • Lifestyle

Week 3

Objective

• Considering to do monitoring of certain diseases to present novelty of our project
• Compare the findings on different diseases, and select the most reasonable ones for our project direction

Week 4

Objective

• Start to work on the mind map
  • Figure out the layout of our ideas in terms of HRV basics, data acquisition, and applications etc.
• Narrow down directions to diabetes and Parkinson's Disease
  • The relationship between HRV and these two diseases are more clearly understood
  • Database does not available for other diseases

Week 5

Objective

• Try to focus on HRV measurements for diabetic patients to predict the progression of coronary artery calcium
• Start to research on steps of data processing presented through the block diagram
• Learn how to process data through Jupyter and pandas
• Understand how to conduct R peak detection
• Summarize current literature research into a literature review for reference

Week 6

Objective

• Clarify overall data processing steps
• Break down pre-processing steps
• Understand Pan Tompkins algorithm in R peak Detection

Deliverables

• Project Mind Map
• Individual Literature Highlight

Week 7

Objective

• Clean the database and present team's understanding of the database
• Achieve R peak detection for ECG signals

Week 8

Objective

• Initiate to build up wiki
• Perform parameter correlation matrix analysis for the diabetes ECG database
• Keep working on Pan Tompkins algorithm to detect R peaks and pre-processing

Week 9

Objective

• Continue the buildup of wiki
• Research on the abnormal peaks for the time-domain graph and come up with algorithms to clean the noise

Week 10

Objective

• Modify Pan Tompkins algorithm and perform Fast Fourier Transform on synthesized data to test algorithm

Week 11

Objective

• Detect the defects of the Pan Thompkins in the 5min snippets and the raw signal
• Seek more databases to expand our scope of data and to test the algorithm

Week 12

Objective

• Prepare the interview with the clinician by providing background introduction of HRV and interview questions
• Look into the database and investigate the potential correlation of HRV and certain parameters

Week 13

Objective

• Conduct deep research into cardiac autonomic neuropathy (CAN) in diaebetic patients
  • Risk factors for CAN
  • Current methods for diagnosing, classifying and treating CAN
  • Effects of CAN on HRV
• Begin thinking about an end application to begin working towards
  • An application which screens patients at risk for CAN
  • Regularly records ECGs and extracts HRV data
  • Analyses HRV data to assess whether the patient should see a clinician for a proper CAN check up
• Research current methods and applications for monitoring diabetes and HRV
• Test frequency domain signal processing
• Re-structuring database

Week 14

Objective

• Plan for Project Pitch
• Search for more databases
• Fill in wiki
• Investigate signal processing methods of current HRV applications