Respiratory Conditions

Chronic respiratory conditions such as asthma can be monitored by measuring airflow and airway inflammation using tests including spirometry and fractional exhaled nitric oxide (FeNO).  Evidence-based medical guidelines also recommend using signs and symptoms, such as coughs and wheezes, for disease assessment [1].  Lung sound analysis can be used to capture abnormal lung sounds and to assess airway inflammation and airflow [2-6].  The Strados platform is designed for real-time lung sound analysis outside of the laboratory.

Real-world data integration is a growing trend in clinical research efforts. Real-world data capture using Strados wearable technology and digital platform can help improve the quality of data capture, augment patient compliance efforts, and save money on clinical research and data analysis.

Strados offers research insights by integrating respiratory data with other physiological data captured outside of the laboratory.

Request more information on research with Strados Labs by contacting us.

[1] Global Initiative for Asthma (GINA) guidelines.

[2] Uwaoma, C., & Mansingh, G. (2015, January). Towards Real-Time Monitoring and Detection of Asthma Symptoms on Resource-Constraint Mobile Device. In Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE (pp. 47-52). IEEE.

[3] Gurung, A., Scrafford, C. G., Tielsch, J. M., Levine, O. S., & Checkley, W. (2011). Computerized lung sound analysis as diagnostic aid for the detection of abnormal lung sounds: A systematic review and meta-analysis. Respiratory medicine, 105(9), 1396-1403.

[4] Que, C. L., Kolmaga, C., Durand, L. G., Kelly, S. M., & Macklem, P. T. (2002). Phonospirometry for noninvasive measurement of ventilation: methodology and preliminary results. Journal of Applied Physiology, 93(4), 1515-1526

[5] Abeyratne, U. R., Swarnkar, V., Setyati, A., & Triasih, R. (2013). Cough sound analysis can rapidly diagnose childhood pneumonia. Annals of biomedical engineering, 41(11), 2448-2462.

[6] Shimoda, T., Nagasaka, Y., Obase, Y., Kishikawa, R., & Iwanaga, T. (2014). Prediction of airway inflammation in patients with asymptomatic asthma by using lung sound analysis. The Journal of Allergy and Clinical Immunology: In Practice, 2(6), 727-732.

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