Intelligent Stethoscope

JRF at CAS over DST project

Project Title: Intelligent Stethoscope: A Low Cost Device Based on Body Auscultation for Early Medical Diagnosis of Heart Lung and Prenatal Health

Developed device:Intelligent Stethoscope

Publications:

1) Neeraj Baghel, Malay Kishore Dutta, Radim Burget, “Automatic Diagnosis of Multi-Cardiovascular Diseases from PCG Signals using Deep Convolutional Neural Network”, Computer Methods and Programs in Biomedicine, Elsevier [2020] [Q1-SCI-7.027] [Link]. [PDF]

2) Neeraj Baghel, Vivek Nangia, Malay Kishore Dutta, “ALSDNET: Automatic Lungs Sound Diagnosis Network from Pulmonary Signals” Neural Computing & Applications, Springer. [Q1-SCI-5.606] [Link].[PDF]

3) Neeraj Baghel, Malay Kishore Dutta, Radim Burget, “FHR-Net: Automatic Diagnosis of Fetal Acidosis from Fetal Heart Rate Signals using 1D-CNN”, Biomedical Signal Processing and Control [2021]. [Q2-SCI-5.076] [Link]. [PDF]

Dataset: Pulmonary (Lungs) Sound: Link.

Patent: Neeraj Baghel, Malay Kishore Dutta “Automatic Detection of Lungs Disease using Machine Learning from Respiratory Sound” Application number: 202011009043 (Submitted:03.03.2020, Published:10.09.2021), Status: Published.

Research Team:

1) Prof. M. K. Dutta (Principal Investigator)

2) Dr. Vivek Nangia (Co-PI)

3) Prof. Radim Burget (Collaborator)

4) Anjali Yadav (JRF)

5) Neeraj Baghel (JRF)

6) Juwairiya Khan (JRF)