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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