Use Case – Hospitals


  • Cardiovascular disease is the leading cause (26%) of death in India
  • Follow-up and monitoring of patients who are known to be at risk of cardiovascular diseases or for those who are recovering from surgery or other medical procedures is unavailable or inadequate. This leads to unwarranted complications, poor patient outcomes, high readmission rates and increased mortality.
  • With Elastic Care, physicians and clinicians continuously monitor ambulatory ECG and other cardiac parameters to obtain valuable information on patient condition and/or recovery.
  • Analyzing reliable cardiac data and combining them with other parameters (e.g. respiration, blood pressure) leads to improved diagnoses and better patient outcomes.


  • Early detection, adequate oxygenation and prompt intervention is vital to the health and survival of patients with respiratory illnesses such as COPD, pneumonia and sleep apnea.
  • Elastic Care monitors a range of respiratory parameters, with more on the way, so that physicians can interpret trends and statistics to gain a deeper understanding of patients’ respiratory condition.
  • Using patient-specific thresholds and changes in respiratory status, physicians can be notified to impending respiratory distress or acute exacerbations early, and in real-time. Correlating this information with data from other lightweight, portable devices such as ECG and spirometry, physicians obtain a clearer and early picture of true status.
  • Diabetes/Endocrinology

  • Given the seriousness of diabetic complications, early identification of comorbidities is essential. The Elastic Care platform allows easy and accurate tracking of patient status 24 hours a day. By using a low-cost, wireless glucometer, blood glucose levels, notifications and reminders are available to patient, caregiver and the attending physician. Other measured parameters provides clinicians with a more complete picture of how the patient is managing the disease.
  • Cardiac

    One, four or full 12-lead ECG trace, heart rate and HR variability, QRS timing parameters.


    Fall detection, posture identification, activity level; step count, calories.

    Blood chemistry

    Blood glucose, cholesterol, ketones and hematocrit

    FeNo (Fractional Exhaled Nitric Oxide)

    COPD exacerbation


    Respiration trace, respiration rate, tidal volume and TV variability, inspiration and expiration ratio.

    Blood oxygen

    SpO2, SaO2, Arterial pulse trace.


    COPD and asthma

    Impedance cardiography

    Multiple cardiac pathologies


    Skin temperature, time-based temperature trends.

    Blood pressure


    Portable sonogram

    Multiple conditions (cardiac, other)

    Thoracic fluid level (impedance based)

    CHF (Congestive Heart Failure)

    Advanced diagnostics and predictions

    Using additional machine learning, AI, sensor fusion