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 
respiratory monitoring devices - Strados RESP platform

Technology Overview

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


Respiratory Dynamics*

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.

respiratory monitoring devices patient wearing resp

Patient-Centered Design

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.

Albert Rizzo, MD

Chief Medical Officer, American Lung Association

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.

Sadia Benzaquen, MD

Chair of Pulmonary Critical Care, Einstein Health Network

Let’s Talk.

We’d love to know how we can help you and your patients.

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