Strados Labs will be at ATS 2024 in San Diego - Booth #1131

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Manage Lung Health from Hospital to Home

A first-of-its-kind technology to help clinicians and patients take control of their chronic lung disease 

FDA 510(k) Class II Device | CE Mark | HIPAA Compliant

 

Wearable Asthma Monitoring Device - RESP Biosensor

Technology Overview

  • The RESP  Biosensor offers clinicians an objective approach to monitoring early warning symptoms of exacerbations such as coughing and wheezing in high-risk patients
  • Clinicians can view cough and wheeze data from patients in real-time to better understand respiratory status
  • Patient and clinician-friendly, the RESP Biosensor reduces the burden on patients while improving clinician effectiveness

RESP Biosensor Measurements

Identify changes in early warning signs of a COPD or Asthma flareup

Configure

Cough 

Configure

Wheeze, Rhonchi & Crackles

Configure

Respiratory Rate*

*Not cleared by FDA and for investigational use only.

Why Monitor Cough and Wheeze?

 

  • 1 in every 5 patients discharged for COPD are readmitted within 30 days (source)
  • Increases in cough have been shown to predict exacerbations (source)
  • Studies show patients have difficulty tracking early warning signs such as cough and wheezing
  • The gold standard for diagnosing COPD and asthma (auscultation with a stethoscope) is limited to in-person visits, prone to interobserver variability and not archivable
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. Our passive, ‘set and forget’ device captures 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.

Data Reporting

Patient recordings are transferred to the cloud for processing and analysis by our team. Proprietary machine learning algorithms are used to provide varying levels of automation in the annotation process.*

*Machine learning algorithms not cleared by FDA

Let’s Talk.

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