Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Joshi, Amit M"'
For glucose electrochemical sensors, a comprehensive electronics interface is designed and constructed in 0.18 um, CMOS process technology, and 1.5 V supply voltage. This interface includes a programmable readout amplifier and bandgap reference volta
Externí odkaz:
http://arxiv.org/abs/2305.12503
The point of care services and medication have become simpler with efficient consumer electronics devices in a smart healthcare system. Cardiovascular disease is a critical illness which causes heart failure, and early and prompt identification can l
Externí odkaz:
http://arxiv.org/abs/2212.08022
Autor:
Jain, Sushil Kumar, Joshi, Amit M.
A dielectric-modulated double gate bilayer electrodes organic thin-film transistor (DMDGBE-OTFT) based sensor is proposed for label-free biomolecule detection. The double gate of DMDGBE-OTFT is used for creating two symmetrical gates underlap regions
Externí odkaz:
http://arxiv.org/abs/2205.15041
Autor:
Sharma, Geetanjali, Joshi, Amit M.
In the field of neuroscience, Brain activity analysis is always considered as an important area. Schizophrenia(Sz) is a brain disorder that severely affects the thinking, behaviour, and feelings of people all around the world. Electroencephalography
Externí odkaz:
http://arxiv.org/abs/2111.11298
The upper limb of the body is a vital for various kind of activities for human. The complete or partial loss of the upper limb would lead to a significant impact on daily activities of the amputees. EMG carries important information of human physique
Externí odkaz:
http://arxiv.org/abs/2109.04194
The Brain-Computer Interface system is a profoundly developing area of experimentation for Motor activities which plays vital role in decoding cognitive activities. Classification of Cognitive-Motor Imagery activities from EEG signals is a critical t
Externí odkaz:
http://arxiv.org/abs/2107.08514
In EMG based pattern recognition (EMG-PR), deep learning-based techniques have become more prominent for their self-regulating capability to extract discriminant features from large data-sets. Moreover, the performance of traditional machine learning
Externí odkaz:
http://arxiv.org/abs/2106.02463
Publikováno v:
IEEE Consumer Electronics Magazine-2021
Diabetes is a chronicle disease where the body of a human is irregular to dissolve the blood glucose properly. The diabetes is due to lack of insulin in human body. The continuous monitoring of blood glucose is main important aspect for health care.
Externí odkaz:
http://arxiv.org/abs/2101.08996
Diabetes is considered as an critical comorbidity linked with the latest coronavirus disease 2019 (COVID-19) which spreads through Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Cov-2). The diabetic patients have higher threat of infection fro
Externí odkaz:
http://arxiv.org/abs/2008.11153
Publikováno v:
IEEE Transactions on Consumer Electronics-2020
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 measurement, serum glucose value has always been considered precise blood
Externí odkaz:
http://arxiv.org/abs/2001.09182