Search Results - "Narayana Dutt, D"

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  1. 1

    Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment by Rangaprakash, D., Odemuyiwa, Toluwanimi, Narayana Dutt, D., Deshpande, Gopikrishna

    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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    Journal Article
  2. 2

    A note on fractal dimensions of biomedical waveforms by Raghavendra, B.S, Narayana Dutt, D

    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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    Journal Article
  3. 3

    Study of wrist pulse signals using time domain spatial features by Rangaprakash, D., Narayana Dutt, D.

    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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    Journal Article
  4. 4

    Complexity analysis of EEG in patients with schizophrenia using fractal dimension by Raghavendra, B S, Dutt, D Narayana, Halahalli, Harsha N, John, John P

    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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    Journal Article
  5. 5

    Multiple transmitter localization and communication footprint identification using energy measurements by Y.R., Venugopalakrishna, Murthy, Chandra R., Narayana Dutt, D.

    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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    Journal Article
  6. 6

    A dynamic nonlinear time domain model for reconstruction and compression of cardiovascular signals with application to telemedicine by Dutt, D.Narayana, Krishnan, S.M., Srinivasan, N.

    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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    Journal Article
  7. 7

    EEG seizure in bilateral ECT is different between low and high stimulus doses by Motreja, S, Janakiramaiah, N, Gangadhar, B N, Dutt, D N, Devaragudi, T S, Subbakrishna, D K

    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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    Journal Article
  8. 8

    Nonlinear measures of heart rate time series: influence of posture and controlled breathing by Radhakrishna, R.K.A., Narayana Dutt, D., Yeragani, Vikram Kumar

    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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    Journal Article
  9. 9

    Analysis of wrist pulse signals using spatial features in time domain by Rangaprakash, D., Dutt, D. Narayana

    “…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
  10. 10

    Post-seizure EEG fractal dimension of first ECT predicts antidepressant response at two weeks by Gangadhar, B.N, Subbakrishna, D.K, Janakiramaiah, N, Motreja, S, Narayana Dutt, D, Paramehwara, G

    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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    Journal Article
  11. 11

    Computer processing of heart rate variability signals for detection of patient status in cardiac care units by Dutt, D. Narayana, Krishnan, S. M.

    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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    Journal Article
  12. 12

    Use of running fractal dimension for the analysis of changing patterns in electroencephalograms by Pradhan, N, Dutt, D N

    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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    Journal Article
  13. 13

    A chaos-based model for low complexity predictive coding scheme for compression and transmission of electroencephalogram data by KAVITHA, V, DUTT, D. N

    “…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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    Journal Article
  14. 14

    A nonlinear perspective in understanding the neurodynamics of EEG by Pradhan, N, Dutt, D N

    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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    Journal Article
  15. 15

    A study of long-range correlations in schizophrenia EEG using detrended fluctuation analysis by Raghavendra, B S, Dutt, D N

    “…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. 16

    Use of finite wordlength FIR digital filter structures with improved magnitude and phase characteristics for reduction of muscle noise in EEG signals by SADASIVAN, P. K, NARAYANA DUTT, D

    “…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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    Journal Article
  17. 17

    Application of LMS adaptive predictive filtering for muscle artifact (noise) cancellation from EEG signals by Narasimhan, S.V., Dutt, D.Narayana

    “…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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    Journal Article
  18. 18

    Minimization of EOG artefacts from corrupted EEG signals using a neural network approach by Sadasivan, P K, Dutt, D N

    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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    Journal Article
  19. 19

    Autoregressive spectral array for graphical display of EEG data by Pradhan, N, Dutt, D N, Rangalakshmi, S

    “…A graphical display of the frequency content of background electroencephalogram (EEG) activity is obtained by calculating the spectral estimates using…”
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    Journal Article
  20. 20

    Data compression by linear prediction for storage and transmission of EEG signals by Pradhan, N, Dutt, D N

    “…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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    Journal Article