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20122026
most citediGLU 2.0: A new non-invasive, accurate serum glucometer for smart healthcare

123 citations · 362 across the 41 of their papers we have counts for

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6 papers · 1 filter

eess.SP2020

MyWear: A Smart Wear for Continuous Body Vital Monitoring and Emergency Alert

Sibi C. Sethuraman, Pranav Kompally, Saraju P. Mohanty +1

Smart healthcare which is built as healthcare Cyber-Physical System (H-CPS) from Internet-of-Medical-Things (IoMT) is becoming more important than before. Medical devices and their…

eess.SP2020★ 6 cited

sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction

Venkanna Udutalapally, Saraju P. Mohanty, Vishal Pallagani +1

Internet-of-Things (IoT) is omnipresent, ranging from home solutions to turning wheels for the fourth industrial revolution. This article presents the novel concept of Internet-of-…

eess.SP2020★ 123 cited

iGLU 2.0: A new non-invasive, accurate serum glucometer for smart healthcare

Prateek Jain, Amit M Joshi, Navneet Agrawal +1

To best of the authors knowledge, this article presents the first-ever non-invasive glucometer that takes into account serum glucose for high accuracy. In case of blood glucose mea…

eess.SP2019★ 94 cited

iGLU 1.0: An Accurate Non-Invasive Near-Infrared Dual Short Wavelengths Spectroscopy based Glucometer for Smart Healthcare

Prateek Jain, Amit M. Joshi, Saraju P. Mohanty

In the case of diabetes, fingertip pricking for a blood sample is inconvenient for glucose measurement. Invasive approaches like laboratory test and one-touch glucometer enhance th…

eess.SP2019★ 5 cited

cSeiz: An Edge-Device for Accurate Seizure Detection and Control for Smart Healthcare

Md Abu Sayeed, Saraju P. Mohanty, Elias Kougianos

Epilepsy is one of the most common neurological disorders affecting up to 1% of the world's population and approximately 2.5 million people in the United States. Seizures in more t…

eess.SP2019★ 1 cited

iVAMS 2.0: Machine-Learning-Metamodel-Integrated Intelligent Verilog-AMS for Fast and Accurate Mixed-Signal Design Optimization

Saraju P. Mohanty, Elias Kougianos

The gap between abstraction levels in analog design is a major obstacle for advancing analog and mixed-signal (AMS) design automation and computer-aided design (CAD). Intelligent m…