Establishing data correlations with powerful data insights​

Medical Equipment Manufacturing customer delivering Next-generation non-invasive neuromodulation treatment system for patients suffering from overactive bladder(OAB) syndrome​

Challenges​

  • Extracting meaningful insights from the data collected to guide treatment adjustments by analyzing and interpreting the data derived from Impedance, EMG strength, and Pulse width during therapy sessions. ​
  • Provide accurate feedback for personalized neuromodulation was challenging due to data variability and noise ​
  • Exploring the relationship between Impedance, Pulse Width, and EMG Strength to uncover correlations and enhance understanding.​

Solution​

  • Automated Snowflake data Pipeline to process stimulator (STIM) data
  • Scalable ​transitioning to Snowflake enabled generating insights for a larger date range (Previously done manually)​
  • Created tailored dashboards and reports using PowerBI. These reports provided customer with real-time and historical insights​
  • Key features include:​​
  • Interactive data visualizations, allowing users to drill down into specific metrics and timeframes​
  • Trend analysis in the session data for OAB patients for Impedance, Pulse Width and EMG strength.
  • Tech Stack​
  • Pipelines: Snowflake – External tables + SnowPark, S3, Python/PySpark​
  • Reporting: Power BI

​​

IMPACT​ GENERATED​

  • Improved data quality – Real-time monitoring of STIM Session data for OAB patients, thereby enhancing data quality and mitigating outlier values.​​
  • Powerful data insights – Providing insightful trend analyses into therapy sessions received by OAB patients, revealing the corresponding impact on the patient.​
  • Data standardization – Generating Data Quality reports aimed at identifying and mitigating noise and outliers within the STIM data.​​
  • Establishing data correlations​ – Identified correlations between impedance, EMG strength, and pulse width, offering valuable insights into the interplay of these factors.​

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