Strados™ Respiratory Care Platform
Enabling clinicians to monitor pulmonary health from hospital to home.
- FDA 510(k) cleared and CE marked
- Patient and clinician friendly
- Clinically validated
More than five million patients are discharged from the hospital each year with a primary diagnosis of asthma, COPD or heart failure, with readmissions for COPD often exceeding 20% within 30 days. Methods for improved monitoring of patients with advanced cardiopulmonary disease are needed to allow for better patient communication of symptoms and earlier interventions. The Strados Respiratory Care Platform, which includes our FDA-cleared wearable device, uses machine learning to identify lung sounds and capture respiratory rate, offering clinicians better insight into patient lung health.
Albert Rizzo, MD | Chief Medical Officer at American Lung Society
Data Collection Capabilities
RESP™ Biosensor captures biomarkers associated with worsening respiratory health
Cough Frequency & Type
Allows for identification of cough frequency, severity, and other characteristics
Wheeze, Rhonchi & Crackles
Frequency of adventitious lung sounds
Measures shortness of breath via respiratory rate as well as activity level
*Not yet cleared by the FDA
How it works
The Strados Respiratory Care Platform is clinician and patient-friendly
Our technology can be configured to fit your organizational needs–integrating with existing EHR clinical workflows.
Easily attach the RESP Biosensor with our medical grade adhesive and begin assessing patient lung sounds.
Clinical teams can seamlessly review patient lung sounds via a clinical portal as an aid to diagnose and care for patients.
The RESP Biosensor is small, unobtrusive and hands-free—patients even forget they’re wearing it. ‘Set it and forget it’, the device records lung sounds continuously whether patients are sleeping, working out or enjoying time with family. That translates into more patient compliance and more complete data for clinicians and care teams.
Strados™ Clinician Portal
Supported by machine learning* with archivable patient data
Our machine learning algorithms* including CoughCheck™ and WheezeCheck™ identify and track events with high clinical accuracy.
*Machine learning algorithms not cleared by FDA
Lung recordings are depicted visually as spectrograms. Recordings are also available for playback.
Technologies such as machine learning have the potential to break the cycle of COPD-related readmissions and provide respiratory patients a better quality of life.
After the pandemic especially, we know that many patients are not always able to come into the hospital. Having the ability to see and monitor patients remotely is key.
We’d love to know how we can help you and your patients.