B. Geethanjali

Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India

Are you B. Geethanjali?

Claim your profile

Publications (3)0 Total impact

  • N. Gobi · A. Srinivas · B. Geethanjali · S.P. Kumar

    No preview · Article · Jan 2014
  • [Show abstract] [Hide abstract]
    ABSTRACT: This report describes the EEG based switching system that uses voluntary eye blinks extracted from EEG signals for activation purpose. Here 2 surface electrodes are placed over the frontal region of the skull and the 3rd one near the auricular region for reference, for the purpose of extraction of EEG wave from the patient. It was found that EEG signal obtained during voluntary eye blink, produces clearer signals with larger amplitude and with a frequency differing from that of the normal EEG. An ARM processor is programmed for efficient extraction of eye blinks. Our system is operated in 2 modes--Voice mode which is used by the patient to express what they want and control mode which helps the patient in switching ON or OFF a particular device. These modes helps in reducing the paralytic subject's burden to a great extent. In the first mode, the extracted pulse is transmitted wirelessly to the relay circuit using Zig bee technology. A relay circuit is activated to turn ON the desired device. Whereas in the second mode, the extracted blink will be used to select and lay the necessary voice file for the paralytic patient (these voice files are some pre-defined recordings of a person's basic needs).
    No preview · Conference Paper · Apr 2013
  • A. Rajan · R. Sri logeshwaran · S.P. Kumar · B. Geethanjali
    [Show abstract] [Hide abstract]
    ABSTRACT: Doppler Ultrasound has been widely used in the measurement of blood flow parameters such as blood velocity, blood pressure etc. Success of the automated quantification algorithms for these variables depends on the interference or noise free strength of the signal and position of the base line with respect to zero. Preprocessing and baseline correction techniques suitable for accurate measurement of these parameters are compared in this work. A 1 KHz calibration signal from the vascular Doppler recorder is used as a reference signal for this purpose. Performances of Butterworth low pass filters with different orders and detrending methods employing different wavelets are compared in terms of mean square error (MSE) in this paper. This has resulted in successful measurements of blood velocity of brachial, DorsalisPedis and post tibial vein.
    No preview · Conference Paper · Jul 2012