Audiometric Analysis of Cough Sounds

Enabling millions with respiratory healthcare through

Audiometric Analysis

Enabling millions with respiratory healthcare through

Machine Learning

Enabling millions with respiratory healthcare through

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Swaasa processes cough sounds to
provide valuable results

We have successfully harnessed technologies like audiometric analysis and machine learning to decipher the information and provide actionable recommendations, valuable to medical practitioners.

Conducted at Apollo, India, under the ICH-GCP norms

Summary Clinical Validation of Swaasa

Dashboards for Health Administrators

Tracking healthcare and administration metrics through real-time cloud-based dashboards

Patient Reports

The reports generated for patients and accessible to doctors and medical practitioners to help for their assessment and diagnosis.

Patient Longitudinal View

  • Statistics
  • Profiles & Reports
  • Longitudinal Data
  • Differential Diagnosis

Conducted at Apollo, India, under the ICH-GCP norms

Summary Clinical Validation of Swaasa

During the clinical validations, investigation team rigorously analysed the respiratory sound characteristics. Through collated data, the team was able to validate the correlation with PFT clinical tests & clinical diagnosis. On the basis of observations, we could confirm the similarity of data patterns from different sources of recording and convincing evaluate the suitability for the technology for public consumption vs clinical utility.

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