Search Results - "Prateek, G V"

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  1. 1

    Modeling, Detecting, and Tracking Freezing of Gait in Parkinson Disease Using Inertial Sensors by Prateek, G. V., Skog, Isaac, McNeely, Marie E., Duncan, Ryan P., Earhart, Gammon M., Nehorai, Arye

    “…In this paper, we develop new methods to automatically detect the onset and duration of freezing of gait (FOG) in people with Parkinson disease (PD) in real…”
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    Journal Article
  2. 2

    Automated, high-dimensional evaluation of physiological aging and resilience in outbred mice by Chen, Zhenghao, Raj, Anil, Prateek, G V, Di Francesco, Andrea, Liu, Justin, Keyes, Brice E, Kolumam, Ganesh, Jojic, Vladimir, Freund, Adam

    Published in eLife (11-04-2022)
    “…Behavior and physiology are essential readouts in many studies but have not benefited from the high-dimensional data revolution that has transformed molecular…”
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    Journal Article
  3. 3

    Gait Cycle Validation and Segmentation Using Inertial Sensors by Prateek, G. V., Mazzoni, Pietro, Earhart, Gammon M., Nehorai, Arye

    “…In this paper, we develop an algorithm to automatically validate and segment a gait cycle in real time into three gait events, namely midstance, toe-off, and…”
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    Journal Article
  4. 4
  5. 5

    A personalized semi-automatic sleep spindle detection (PSASD) framework by Kafashan, MohammadMehdi, Gupte, Gaurang, Kang, Paul, Hyche, Orlandrea, Luong, Anhthi H., Prateek, G.V., Ju, Yo-El S., Palanca, Ben Julian A.

    Published in Journal of neuroscience methods (01-07-2024)
    “…Sleep spindles are distinct electroencephalogram (EEG) patterns of brain activity that have been posited to play a critical role in development, learning, and…”
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    Journal Article
  6. 6

    Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series Data by Prateek, G. V., Ju, Yo-El, Nehorai, Arye

    “…We address the problem of signal denoising and pattern recognition in processing batch-mode time-series data by combining linear time-invariant filters,…”
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    Journal Article
  7. 7

    Target detection using weather radars and electromagnetic vector sensors by Prateek, G.V., Hurtado, Martin, Nehorai, Arye

    Published in Signal processing (01-08-2017)
    “…•We propose a passive bistatic network, with weather surveillance radar as the transmitter and electromagnetic vector sensor as the receiver.•No previous work…”
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    Journal Article
  8. 8

    Classification of vehicles using magnetic dipole model by Prateek, G. V., Rajkumar, V., Nijil, K., Hari, K. V. S.

    Published in TENCON 2012 IEEE Region 10 Conference (01-11-2012)
    “…This paper presents an efficient approach to the modeling and classification of vehicles using the magnetic signature of the vehicle. A database was created…”
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    Conference Proceeding
  9. 9

    Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series Data by Prateek, G. V, Ju, Yo-El, Nehorai, Arye

    Published 26-06-2019
    “…We address the problem of signal denoising and pattern recognition in processing batch-mode time-series data by combining linear time-invariant filters,…”
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    Journal Article
  10. 10

    A Novel Carry-Look Ahead Approach to a Unified BCD and Binary Adder/Subtractor by Veeramachaneni, Sreehari, Krishna M., Kirthi, Prateek, G.V., Subroto, S., Bharat, S., Srinivas, M.B.

    “…Increasing prominence of commercial, financial and Internet-based applications, which process decimal data, there is an increasing interest in providing…”
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    Conference Proceeding
  11. 11

    Fusing the navigation information of dual foot-mounted zero-velocity-update-aided inertial navigation systems by Girisha, R., Prateek, G. V., Hari, K. V. S., Handel, Peter

    “…A range constraint method viz. centroid method is proposed to fuse the navigation information of dual (right and left) foot-mounted Zero-velocity-UPdaTe…”
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    Conference Proceeding
  12. 12

    Data Fusion of Dual Foot-Mounted INS to Reduce the Systematic Heading Drift by Prateek, G. V., Girisha, R., Hari, K. V. S., Handel, P.

    “…In this report, we investigate the problem of applying a range constraint in order to reduce the systematic heading drift in a foot-mounted inertial navigation…”
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    Conference Proceeding
  13. 13

    Classification of Vehicles Using Magnetic Field Angle Model by Prateek, G. V., Nijil, K., Hari, K. V. S.

    “…This paper presents an efficient approach to the modeling and classification of vehicles using the magnetic signature of the vehicle. A database was created…”
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    Conference Proceeding