|Name||:||Dr. Karan Jain|
|Department||:||Instrumentation & Control Engg.|
Ph.D. Broad research area: Biomedical Engineering (Indian Institute of Technology Kharagpur)
M.Tech Instrumentation (Indian Institute of Technology Kharagpur)
B.Tech Instrumentation and Control Engineering (Dr B R Ambedkar National Institute of Technology Jalandhar)
Office # 504 A, Department of Instrumentation and Control Engineering,
Dr B R Ambedkar National Institute of Technology Jalandhar,
Jalandhar City (Punjab) - 144027
|Research Interests||:||Modeling of physiological systems and associated diseased conditions; cardiovascular system dynamics; applications of machine learning in clinical predictions; brain-computer interface.|
|Brief Research Profile:||:||
In the last few years, we have mainly worked on lumped parameter modeling of the human cardiovascular system for the purpose of diagnosing associated pathological conditions such as coronary artery disease (CAD) and atherosclerosis.
In recent times, we have made attempts to develop a hybrid approach that combines the advantages of data-driven and model-based approaches for cardiac screening. The following publications showcase this hybrid approach:
 Karan Jain, Suchi Jain, Arijit Guha, Amit Patra, "An approach to early stage detection of atherosclerosis using arterial blood pressure measurements", Biomedical Signal Processing and Control, Vol. 68, Year 2021.
 Ashutosh Dash, Karan Jain, Nirmalya Ghosh, Amit Patra, "Non-invasive detection of coronary artery disease from photoplethysmograph using lumped parameter modelling", Biomedical Signal Processing and Control, Vol. 77, Year 2022.
In , arterial compliance and ventricular elastance are marked as key indices of atherosclerosis. These indices are tracked while employing unscented Kalman filter-based framework; arterial blood pressure taken from radial artery is considered as the measurement signal. Clinical quantities (e.g. stroke volume) are then derived from the model-based estimates. Finally, machine learning (ML) based classifiers are employed to screen atherosclerosis while utilizing the clinical quantities.
In , clinical information along with cardiovascular model parameters have been used to detect coronary artery disease; this time, PPG signal has been considered as the measurement. State-of-the-art ML classifiers have been employed to carry out the necessary screening.
NOTE: The recent work  has free access until 30th June 2022 via the following link:
Thanks for showing interest in our research.
|2022||Biomedical Signal Processing and Control, Vol. 77, pp. 103781||Ashutosh Dash, Karan Jain, Nirmalya Ghosh, and Amit Patra, "Non-invasive detection of coronary artery disease from photoplethysmograph using lumped parameter modelling."|
|2021||Biomedical Signal Processing and Control, vol. 68||Karan Jain, Suchi Jain, Arijit Guha, and Amit Patra, "An approach to early stage detection of atherosclerosis using arterial blood pressure measurements."|
|2019||International Journal of Prognostics and Health Management, vol. 10 (Special Issue PHM for Human Health and Performance) 002, pages: 9.||Karan Jain, Arijit Guha, and Amit Patra. "A particle filter based framework for the prognosis of atherosclerosis via lumped cardiovascular modeling."|
|2018||Mathematical Biosciences, vol. 304, pp. 79-88.||Karan Jain, Srinivasu Maka, and Amit Patra. "Modeling of cardiovascular circulation for the early detection of coronary arterial blockage."|
|2019||41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Berlin, Germany.||Ashutosh Dash, Karan Jain, Nirmalya Ghosh, Amit Patra, Anirban D. Choudhury. "Blood Pressure Estimation Based on Pulse Arrival Time and Heart Rate: A Correlation Analysis for Critically Ill Patients."|
|2018||18th IFAC Symposium on System Identification (SYSID), Stockholm, Sweden.||Karan Jain, Amit Patra, and Srinivasu Maka. "Modeling of the human cardiovascular system for detection of atherosclerosis."|
|2016||Systems in Medicine and Biology (ICSMB), 2016 International Conference on. IEEE. Kharagpur, India.||Karan Jain, and Srinivasu Maka. "Sensitivity analysis and parameter estimation of cardiovascular model."|
|2016||Systems in Medicine and Biology (ICSMB), 2016 International Conference on. IEEE. Kharagpur, India.||Tanmay Pal, Karan Jain, and Srinivasu Maka. "Delay dependent analysis of respiratory system- Application to obstructive sleep apnea."|
|2014||Students' Technology Symposium (TechSym), 2014 IEEE. Kharagpur, India.||Karan Jain, Tanmay Pal, and Srinivasu Maka. "Stability issues in a cardiovascular circulation."|
|2014||Students' Technology Symposium (TechSym), 2014 IEEE. Kharagpur, India.||Tanmay Pal, Karan Jain, and Srinivasu Maka. "Stability analysis of Human Respiratory System."|
|Role||Project Type||Title||Funding Agency||From||To||Amount||Status||Co-Investigator|
|STC||National||Modeling and Identification of Physiological Systems (MIPS-2020)||Online Mode||27-07-20||31-07-20||Convener|
|STC||National||Cryogenics & Composites: Theory & Applications (CCTA-2020)||Online Mode||03-08-20||07-08-20||Coordinator|
|STC||National||Recent Advances in Sensor Design and Interface Circuits (RASIC-2020)||Online Mode||15-10-20||19-10-20||Coordinator|
|STC||National||Modeling and Identification of Physiological Systems (MIPS-2021)||Online Mode||20-10-21||24-10-21||Coordinator|
|STC||National||Optimization and Control Design Techniques Innovations and Challenges (OCDT-2022)||Online Mode||23-05-22||27-05-22||Coordinator|
|Scholar Name||Research Topic||Status||Year||Co-Supervisor|
|Pankaj Kumar Sahu||Development of Affordable Artificial Intelligence based Brain Machine Interface for Real Time R.P.M. Control of BLDC Motor for Industrial Applications||Comprehensive seminar (Done)||2019|
|Student Name||Dissertation Title||Status||Year||Co-Supervisor|
|Sagar Saha||Detecting cardiac conditions using ECG measurements||On-going||2021-22|
|Amandeep Minhas||An approach to detect coronary artery disease using arterial blood pressure and PPG signals||On-going||2021-22|
|Name||Reg./Ref. No.||Date of Award/Filling||Organization||Status|
|SYSTEM FOR MODELLING BAROREFLEX MECHANISM OF A HUMAN SUBJECT DURING POSTURAL CHANGES||202031015867||7-9-2019||INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR and TATA CONSULTANCY SERVICES LIMITED||Application number allotted on 13.4.2020; Patent initially filed on 7th September 2019|
|Associate Lab. Incharge, Procees Control Lab., ICE Dept.||Dr B R Ambedkar NIT Jalandhar||2020||Present|
|Co-cordinator, UG Accreditation (ICE Dept.)||Dr B R Ambedkar NIT Jalandhar||2020||Present|
|Co-cordinator, Departmental information, newsletter and website (ICE Dept.)||Dr B R Ambedkar NIT Jalandhar||2020||Present|
|Co-coordinator, Alumni Relations (Department-level)||Dr B R Ambedkar NIT Jalandhar||2020||Present|