Search Results - "Narayana Dutt, D"
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1
Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment
Published in Brain informatics (26-11-2020)“…Various machine-learning classification techniques have been employed previously to classify brain states in healthy and disease populations using functional…”
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2
A note on fractal dimensions of biomedical waveforms
Published in Computers in biology and medicine (01-11-2009)“…Abstract In this paper, we study performance of Katz method of computing fractal dimension of waveforms, and its estimation accuracy is compared with Higuchi's…”
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Study of wrist pulse signals using time domain spatial features
Published in Computers & electrical engineering (01-07-2015)“…•Wrist pulse signals are analyzed using spatial features obtained from a bi-modal Gaussian model.•Statistically significant group differences are found for two…”
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Complexity analysis of EEG in patients with schizophrenia using fractal dimension
Published in Physiological measurement (01-08-2009)“…We computed Higuchi's fractal dimension (FD) of resting, eyes closed EEG recorded from 30 scalp locations in 18 male neuroleptic-naïve, recent-onset…”
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5
Multiple transmitter localization and communication footprint identification using energy measurements
Published in Physical communication (01-12-2013)“…Whitespace identification is a crucial first-step in the implementation of cognitive radios, where the problem is to determine the communication footprint of…”
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A dynamic nonlinear time domain model for reconstruction and compression of cardiovascular signals with application to telemedicine
Published in Computers in biology and medicine (2003)“…A new nonlinear time domain model is proposed in this paper for signals of cardiovascular origin. An equation of the dynamic nonlinear model has been obtained…”
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7
EEG seizure in bilateral ECT is different between low and high stimulus doses
Published in Clinical EEG electroencephalography (01-10-1998)“…Melancholic depressive patients referred for ECT were randomized to receive either low dose (n = 20) or high dose (n = 20) stimulus applied bifrontotemporally…”
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8
Nonlinear measures of heart rate time series: influence of posture and controlled breathing
Published in Autonomic neuroscience (02-10-2000)“…In this study, we investigated measures of nonlinear dynamics and chaos theory in regards to heart rate variability in 27 normal control subjects in supine and…”
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9
Analysis of wrist pulse signals using spatial features in time domain
Published in 2014 International Conference on Communication and Signal Processing (01-04-2014)“…Wrist pulse signal contains more important information about the health status of a person and pulse signal diagnosis has been employed in oriental medicine…”
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Conference Proceeding -
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Post-seizure EEG fractal dimension of first ECT predicts antidepressant response at two weeks
Published in Journal of affective disorders (1999)“…Background: Duration of seizure by itself is an insufficient criterion for a therapeutically adequate seizure in ECT. Therefore, measures of seizure EEG other…”
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11
Computer processing of heart rate variability signals for detection of patient status in cardiac care units
Published in Current science (Bangalore) (10-04-2000)“…High-performance computing has made a great impact in recent times in achieving practical solutions to problems in health care. This paper is concerned with…”
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12
Use of running fractal dimension for the analysis of changing patterns in electroencephalograms
Published in Computers in biology and medicine (01-09-1993)“…Running fractal dimensions were measured on four channels of an electroencephalogram (EEG) recorded from a normal volunteer. The changes in the background…”
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13
A chaos-based model for low complexity predictive coding scheme for compression and transmission of electroencephalogram data
Published in Medical & biological engineering & computing (01-05-1999)“…A method for low complexity, low bit rate transmission of EEG (electroencephalogram) data, based on chaotic principles, is presented. The EEG data is assumed…”
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14
A nonlinear perspective in understanding the neurodynamics of EEG
Published in Computers in biology and medicine (01-11-1993)“…The developments in nonlinear dynamics and the theory of chaos have considerably altered our perception and analysis of many complex systems, including the…”
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15
A study of long-range correlations in schizophrenia EEG using detrended fluctuation analysis
Published in 2010 International Conference on Signal Processing and Communications (SPCOM) (01-07-2010)“…In this paper, we have studied electroencephalogram (EEG) activity of schizophrenia patients, in resting eyes closed condition, with detrended fluctuation…”
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Conference Proceeding -
16
Use of finite wordlength FIR digital filter structures with improved magnitude and phase characteristics for reduction of muscle noise in EEG signals
Published in Medical & biological engineering & computing (01-05-1995)“…One of the main disturbances in EEG signals is EMG artefacts generated by muscle movements. In the paper, the use of a linear phase FIR digital low-pass filter…”
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17
Application of LMS adaptive predictive filtering for muscle artifact (noise) cancellation from EEG signals
Published in Computers & electrical engineering (1996)“…The presence of muscle artifact (noise) affects the electroencephalograph (EEG) analysis. This paper deals with the filtering of the muscle artifact (noise)…”
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18
Minimization of EOG artefacts from corrupted EEG signals using a neural network approach
Published in Computers in biology and medicine (01-11-1994)“…In this paper, we propose a neural network (NN) approach to the enhancement of EEG signals in the presence of EOG artefacts. We recast the EEG enhancement…”
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19
Autoregressive spectral array for graphical display of EEG data
Published in Computer methods and programs in biomedicine (01-11-1994)“…A graphical display of the frequency content of background electroencephalogram (EEG) activity is obtained by calculating the spectral estimates using…”
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20
Data compression by linear prediction for storage and transmission of EEG signals
Published in International journal of bio-medical computing (01-04-1994)“…The EEG time series has been subjected to various formalisms of analysis to extract meaningful information regarding the underlying neural events. In this…”
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