Dinesh Bhatia

ORCID: 0000-0001-5412-8868
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About
Contact & Profiles
Research Areas
  • Muscle activation and electromyography studies
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • ECG Monitoring and Analysis
  • Prosthetics and Rehabilitation Robotics
  • Sports Performance and Training
  • Motor Control and Adaptation
  • IoT and Edge/Fog Computing
  • COVID-19 diagnosis using AI
  • Biosensors and Analytical Detection
  • Wireless Body Area Networks
  • Gaze Tracking and Assistive Technology
  • Additive Manufacturing and 3D Printing Technologies
  • Hand Gesture Recognition Systems
  • Sports injuries and prevention
  • Radiomics and Machine Learning in Medical Imaging
  • Control and Dynamics of Mobile Robots
  • AI in cancer detection
  • Additive Manufacturing Materials and Processes
  • Advanced Neural Network Applications
  • Photonic and Optical Devices
  • Artificial Intelligence in Healthcare and Education
  • VLSI and FPGA Design Techniques
  • Low-power high-performance VLSI design
  • Medical Imaging and Analysis

North Eastern Hill University
2016-2025

The University of Texas at Dallas
2004-2024

RMIT Vietnam
2024

University of Glasgow Singapore
2023

Malaviya National Institute of Technology Jaipur
2022

Tezpur University
2018

University of Glasgow
2015

Deenbandhu Chhotu Ram University of Science and Technology
2010-2013

Florida International University
2012-2013

Overseas Chinese University
2007

'Give a man biosensor, and you enable him to unlock world of cost-effective solutions for research, diagnosis, personalized healthcare'. Biosensors have emerged as game-changer in the realms research sciences healthcare, offering exceptional value money. The integration biosensors into these fields holds immense promise, empowering researchers medical practitioners intricate mysteries food water safety, human biology, health assessment. These state-of-the-art technologies are breath fresh...

10.1016/j.sintl.2023.100257 article EN cc-by-nc-nd Sensors International 2023-11-14

Fused Deposition Modelling is the most popular additive manufacturing technique. Its ability to build complex designs in limited time and money makes it more accessible than other AM techniques. Many Industries employ this technique Prototyping, tooling, mold design. However, dimensional accuracy of printed part susceptible deviations with changes print settings, drawback FDM affects its employability large scale manufacturing, where repeatability paramount importance. Therefore, paper...

10.1016/j.sintl.2021.100149 article EN cc-by-nc-nd Sensors International 2021-11-28

One of the most popular techniques Additive Manufacturing (AM) being used currently is Fused Deposition Modelling (FDM). FDM a nascent technology and has significant scope for improvement, particularly when it comes to dimensional accuracy printed parts. The parts governs usability product. These products in assemblies need have very tight tolerances. tolerances play vital role quality finished For become commercially viable, ability predict this variation caused by different print...

10.1016/j.sintl.2022.100194 article EN cc-by-nc-nd Sensors International 2022-01-01

Advancements are being made towards a cheap and effective means for health monitoring. A mobile monitoring system is proposed bicycle rider using light weight, low power wireless sensors. Biometric environmental information pertaining to the captured, transmitted to, stored in remote database with little user interaction required. Remote users have real time access captured through web application. Possible applications this include of soldier battlefield patient during an ambulance ride.

10.1109/iembs.2009.5334583 article EN Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2009-09-01

Biomaterials are materials that primarily made or engineered for biological compatibility with the tissue and cells so they can be used healing repairing purposes on living organism. They widely nowadays therapeutic diagnostic purposes. Due to their biodegradability eco-friendly nature, offer a wide domain of application not only in medicinal but also platforms technological advancement. The most biomaterial is Titanium due its high biocompatibility ability inert chemicals present inside...

10.1016/j.mset.2020.11.002 article EN cc-by-nc-nd Materials Science for Energy Technologies 2020-01-01

Biomaterials are materials that primarily made or engineered for biological compatibility with the tissue and cells so they can be used healing repairing purposes on a living organism. They widely nowadays therapeutic diagnostic purposes. Due to their biodegradability eco-friendly nature, offer wide domain of application not only in medicinal applications but also platforms technological advancement. The interaction biomaterials body organs, resiliency cellular activity, matchless quality...

10.1016/j.sintl.2020.100055 article EN cc-by-nc-nd Sensors International 2020-01-01

Persons, who are paralysed due to accidents, use mechanical devices for their rehabilitation, as drugs really do not cure them. These could be passive or active having own disadvantages of size, weight and overall complexity providing limited degrees freedom. As such, none the available orthotic aid patients with long term rehabilitation. This has led a new area studies, wherein combination body energy sophisticated electronic devices, called Functional Electrical Stimulation (FES) is used...

10.1504/ijbet.2011.038474 article EN International Journal of Biomedical Engineering and Technology 2011-01-01

Wheelchair usage in India is increasing rapidly due to higher ageing population, road accidents etc. In case of nuclear families, the elder people those who are unable do their regular activities without assistance, left alone at home. Manual propelling difficult for aged population which they employ use motorized wheelchair, but costs quite high making it middle income procure it. order overcome above challenge, we proposed a novel wheel chair design "low cost local-mapnavigation based...

10.1109/iacc.2017.0129 article EN 2017-01-01

A novel scheme to control upper-limb prosthesis with toe gesture sensing system is presented in this paper. In the proposed system, copper/polymer stack capacitive touch sensors fabricated on a flexible substrate, interfaced electronics and wireless transmitters forms smart insole. The takes advantage of user making various gestures their left right hallux digits form Morse code. results change capacitance from 56 ±2 pF 75±3 pF, which readout by an interface circuitry. This transmitted...

10.1109/icsens.2015.7370369 article EN IEEE Sensors 2015-11-01

Previously, for high security areas or in locker rooms banks, traditional lock systems, passwords, etc., were employed. However, these systems found to be not perfectly secure. After advancements technology RFID cards used. These however much useful the user due chances of getting lost, stolen and forgotten. The purpose this study is provide such end applications. aim design a smart door access system using finger print module. use device only authorised persons. Both hardware software are...

10.1504/ijmei.2014.063175 article EN International Journal of Medical Engineering and Informatics 2014-01-01

A low power, microcontroller based patient bed monitoring system is discussed in this paper. The resistive bend sensor approach provides an effective cost alternative for minimizing the harmful effects of bedsores which prevalent hospital intensive care units and assisted living environments during rehabilitation. ZigBee wireless interface pressure detection aimed at reducing hassles existing complex wired setup to provide continuous by enabling mobility as essentially required patients...

10.1109/biocas.2008.4696956 article EN 2008-01-01

Even though extensive research have been done on electromyogram (EMG) based prosthetic hand control, relatively lesser attention received for control of individual fingers. An EMG recognition finger movements will enable a more dexterous hands. This paper reports the index movements: flexion-extension and abduction-adduction two channel EMG. The focus was deriving an feature vector through combination features higher rate stability index. Feature derived linear discriminant analysis average...

10.1016/j.procs.2018.07.012 article EN Procedia Computer Science 2018-01-01

This paper emphasizes on the hand movement recognition using artificial neural network (ANN). It shows methodology that analyses and classifies electromyography (EMG) signals networks to control multifunction prostheses. The of these prostheses can be made myoelectric taken from surface electrodes. linear was employed in EMG signal classification system as contain many artifacts noise, so helps give accurate results which further used for controls. experimental show a promising performance...

10.1080/03772063.2019.1638316 article EN IETE Journal of Research 2019-09-09

Wheelchair usage in India is increasing day by because of ageing population, road accidents and injuries etc. In case nuclear families, the elder people those who are unable to do their regular activities without assistance, left alone at home. Manual propelling difficult for aged people, so avoid it they choose motorized wheelchair. However, cost wheelchair quite high middle class afford it. order above obstacles we propose a novel wheel chair named as "Design low-cost manual cum...

10.1109/ngct.2016.7877411 article EN 2016-10-01

An essential prerequisite for any material to classify as biomaterial is biocompatibility with the human body which could be utilized wound healing or repair on a living organism. Due their exceptional properties comprising of and environmental nature, they offer broad variety medical applications aid in technological developments. The commonly employed Titanium due its high inertness chemical environment present body. Severe Plastic Deformation (SPD) process enables improvement metal...

10.1016/j.mset.2021.08.005 article EN cc-by-nc-nd Materials Science for Energy Technologies 2021-01-01

<p>Nanomedicine, which is blazing new trails in modern healthcare, exploits the distinctive attributes of nanoparticles (NPs) to reimagine diagnosis and therapy. With imaging, this “magic ammunition” enhances capability MRI, a noninvasive, high-resolution technology that can pinpoint cancers with astonishing precision. Unlike traditional treatments, muddle distinction between diseased healthy tissue, gold (AuNPs) directly target tumors, using increased permeability retention (EPR)...

10.3934/biophy.2024026 article EN cc-by AIMS Biophysics 2024-01-01

For the upper limb amputees and disabled persons, human hand is a marvel of strength, sensitivity discrimination due to innumerable tasks it can perform more importantly brain controls these tasks. Presently researchers are focusing on developing bio-signals based natural gesture, which one most active thrust areas in field rehabilitation robotics. The robotics actively being employed develop computer interface for person with disabilities. work reported this paper presents statistical...

10.1109/spin.2016.7566678 article EN 2016-02-01
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