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Project Plan

Weekly Plan

Week 1


  • 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


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

Week 3


  • 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


  • 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


  • 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


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


  • Project Mind Map
  • Individual Literature Highlight

Week 7


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

Week 8


  • 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


  • 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


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

Week 11


  • 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


  • 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


  • 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


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