Debdeep Sikdar

ORCID: 0000-0002-5524-5318
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Complex Systems and Time Series Analysis
  • Fractal and DNA sequence analysis
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Functional Brain Connectivity Studies
  • Chaos control and synchronization
  • Muscle activation and electromyography studies
  • Gaze Tracking and Assistive Technology
  • Photoreceptor and optogenetics research
  • Blind Source Separation Techniques
  • Time Series Analysis and Forecasting

Indian Institute of Technology Kharagpur
2017-2020

Indian Institute of Technology Delhi
2018

Jadavpur University
2016

Grasping objects is one of the most important hand utilisation in everyday life. Due to neuromuscular ailments or injury, some people are unable move their hands. Though myoelectrically controlled prostheses widely available market, they require muscle based control points which hardly for many. Motor Imagination (MI) will surpass this shortcomings them. However, restoring human grasping from MI a challenging task. In study, we have decoded two major types (Power and Precision) along with...

10.1109/ner.2017.8008384 article EN 2017-05-01

Common Spectral Pattern (CSP) algorithm remains predominant for feature extraction from multichannel EEG motor imagery data. However, multiclass classification of this featureset has been a challenging job. Different approaches have proposed to be applied on different subbands achieve significant accuracy. Ensemble learning is very effective in context higher accuracy Brain-Computer Interface (BCI) domain. In study, we enhanced algorithms accuracies. The methods were evaluated against the...

10.1109/embc.2018.8513421 article EN 2018-07-01

Brain computer interface based assistive technology are currently promoted for motor rehabilitation of the neuromuscular ailed individuals. Recent studies indicate a high potential utilising electroencephalography (EEG) to extract related intentions. Limbic movement intentions already exhaustively studied by researchers with accuracy rate. But, capturing fingers from EEG is still in nascent stage. In this study, we have proposed an ensemble learning approach distinguishing between movements...

10.48550/arxiv.1903.10154 preprint EN other-oa arXiv (Cornell University) 2019-01-01

Verbal communication makes human unique from other species. People use different modalities of speech while communicating with others. Widely practised are speak loudly (utter), whispering and mumbling closed lips. Apart speaking, people also in their mind. Due to ailments or injury, some have lost ability forced take means communicate. Speech restoration through Brain Computer Interfacing (BCI) is still at nascent stage. Through this study, we explored the contrast between these it will...

10.1109/ner.2017.8008432 article EN 2017-05-01

In this work, we have studied the EEG signals of different persons under same protocol. The aim article is to perform a non-linear analysis signal get pattern due similar brain activity. signals' long scaling behaviour by Multifractal Detrended Fluctuation Analysis (MFDFA). Five bands namely, Delta, Theta, Alpha, Beta, Gamma, are first segregated before fractal and results compiled for each on parameters - spectrum width, skewness maxima multifactral spectra generalized Hurst's exponent.

10.1109/icsmb.2016.7915116 article EN 2016-01-01

Understanding of the evoked neural discharges from retinal tissues is vital for designing any prosthesis. In this study, ganglion cell activity to light and electrical stimulus recorded using multielectrode arrays. For an effective epiretinal prosthetic device, through prosthesis should be able evoke responses similar those response in normal condition. This pilot study was intended design experimental protocol in-vitro stimulation. Light same duration goat retina different responses....

10.1109/embc.2017.8037020 article EN 2017-07-01

In Brain Computer Interfacing (BCI), speech imagery is still at nascent stage of development. There are few studies reported considering mostly vowels or monosyllabic words. However, language specific words made it harder to standardise the whole analysis electroencephalography (EEG) while distinguishing between them. Through this study, we have explored significance multifractal parameters for different imagined chosen from International Phonetic Alphabets (IPA). The were categorised into...

10.1109/embc.2018.8512579 article EN 2018-07-01

The retina mediates vision while encoding various features of a visual such as brightness, color, motion, direction, etc. An epiretinal prosthesis, directed towards restoring in the blind, intend to incorporate these parameters input stimulus. output neurons retina, retinal ganglion cells (RGC), convey perceptible information brain. wavelength primary colors received by cones are expected have characteristic RGC responses before being perceived Thus from RGCs recorded with multielectrode...

10.1109/icsens.2018.8589756 article EN IEEE Sensors 2018-10-01

One of the primary difference mankind from other species is his ability to communicate verbally. Our brain upon framing a sentence, coordinates with oro-pharyngeal-laryngeal muscle groups produce speech help vocal cord and mouth aperture. However, some individuals due congenital or illness, may loose their speak in spite speech. Research on restoration through computer interface (BCI) still at an early stage. Through this study, we have explored regression between chaos parameters acoustic...

10.1109/embc.2019.8856839 article EN 2019-07-01
Coming Soon ...