The institute has been engaged in a collaborative research to find out the digital signature of lung sound (both normal and abnormal) to diagnose different lung diseases non invasive way. Despite logistic constraints, the institute has sponsored the work and we have been able to make it possible to identify DPLD patients successfully on digital signature of lung sounds from normal people.
(The Scientific World Journal,2014:10.1155). (Springer Plus, 2013: 2:512). 2013 Indian Conference on Medical Informatics and Telemedicine (ICMIT) page-43-47. (IEEE Proceedings of 4th International Conference on Intelligent Human Computer Interaction, Kharagpur, India, December 27-29, 2012). (Journal of Medical Engineering & Technology, 2011, 1-10). Respirology 2015; 20 : 633-639.