H
Harsh Sohal
Researcher at Jaypee University of Information Technology
Publications - 35
Citations - 350
Harsh Sohal is an academic researcher from Jaypee University of Information Technology. The author has contributed to research in topics: Computer science & Very-large-scale integration. The author has an hindex of 6, co-authored 30 publications receiving 218 citations. Previous affiliations of Harsh Sohal include Chitkara University & Kyung Hee University.
Papers
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Journal ArticleDOI
Multi-Frequency Electrical Impedance Tomography System With Automatic Self-Calibration for Long-Term Monitoring
TL;DR: A clear degradation in performance results with increasing time between automatic calibrations allowing the tailoring of calibration to suit the performance requirements of each application.
Journal ArticleDOI
Considerations for Ultra-Low-Power VLSI Design—A Survey
Anjali Sharma,Harsh Sohal +1 more
Journal ArticleDOI
Performance evaluation of wideband bio-impedance spectroscopy using constant voltage source and constant current source
Youssoufa Mohamadou,Tong In Oh,Hun Wi,Harsh Sohal,Adnan Farooq,Eung Je Woo,Alistair McEwan,Alistair McEwan +7 more
TL;DR: In this paper, the performance of a current source-based bio-impedance spectroscopy (BIS) measurement system was compared with a voltage source based BIS, which use common components.
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Design of a microscopic electrical impedance tomography system for 3D continuous non-destructive monitoring of tissue culture.
Eunjung Lee,Hun Wi,Alistair McEwan,Alistair McEwan,Adnan Farooq,Harsh Sohal,Eung Je Woo,Jin Keun Seo,Tong In Oh +8 more
TL;DR: The experimental results showed that the new micro-EIT system with a reduced set of injection current patterns and a large number of voltage sensing electrodes can be potentially used for tissue culture monitoring and numerical simulations demonstrated that the spatial resolution could be improved to the scale required for tissueculture monitoring.
Journal ArticleDOI
Electrical impedance imaging system using FPGAs for flexibility and interoperability
TL;DR: Details of the FPGA-based fully parallel EIT system called the KHU Mark2.5 with numerous functions needed for clinical applications are described and two kinds of FPGAs described can be used as a basis for future EIT digital ASIC designs for better application-specific human interface as well as hardware performance.