A N I R U D D H A   J.   J O S H I

E-mail: joshi.aniruddha[at]gmail.com

Tel: +91 988-147-2945

 

  • I am currently a PhD student in the CSE Dept at IIT Bombay.

  • I am Working on the Quantitative Acquisition and Analysis of the Arterial Pulse. Please also refer to Nadi Tarangini for further details.

  • I've received CSIR fellowship under CSIR-GATE catagory, where I worked at NCL Pune as a Senior Research Fellow.

Publications:

  • Papers:

    • Joshi, A.J., Chandran, S., Jayaraman, V.K. and Kulkarni, B.D.
      Nadi Tarangini: A Pulse Based Diagnostic System
      In proceeding of the 29th Annual International Conference of the IEEE EMBS, pages 2207-2210, 2007
      Also in Microsoft Techvista Doctoral Presentations 2007 (Third Prize)
      [Paper about our system Nadi Tarangini to acquire accurate, clean arterial pulse waveforms at root of thumb on wrist of a person using pressure sensors.]

    • Joshi, A.J., Chandran, S., Jayaraman, V.K. and Kulkarni, B.D.
      Arterial Pulse System: Modern Methods For Traditional Indian Medicine
      In proceeding of the 29th Annual International Conference of the IEEE EMBS, pages 608-611, 2007
      [Paper about the scope in classification of disorders using various machine learning algorithms on pulse data obtained from Nadi Tarangini.]

    • Joshi, A.J., Chandran, S., Jayaraman, V.K. and Kulkarni, B.D.
      Arterial Pulse Rate Variability Analysis for Diagnoses
      In proceeding of the 19th International Conference on Pattern Recognition, 2008
      [Paper about the peak-to-peak variations in a pulse waveform. We compute the time-domain, frequency-domain and poincare-based features. These variations are equally important as the average values in pulse.]

    • Joshi, A.J., Chandran, S., Jayaraman, V.K. and Kulkarni, B.D.
      Multifractality In Arterial Pulse
      In proceeding of the 19th International Conference on Pattern Recognition, 2008
      [Paper about the self-similarity hidden in arterial pulse interval (API) time series. We use the wtmm-based approach to compute the multifractal spectrum which capture the number of exponents to define the scaling in the pulse.]

    • Joshi, A.J., Jog, A., Chandran, S., Jayaraman, V.K. and Kulkarni, B.D.
      Topological invariants of the arterial pulse
      In PAKDDWorkshop on Data Mining for Healthcare Management (2010)
      [Paper about the inherent structure of the pulse in 3D embedded attractors. We use contour diagrams of Linking numbers and Relative rotation rates to observe different patterns.]

       
    • Joshi, A.J., Chandran, S., Jayaraman, V.K. and Kulkarni, B.D.
      Hybrid-SVM for Multiclass Arrhythmia Classification
      In International Journal of Functional Informatics and Personalised Medicine (IJFIPM) (2010)
      Also in proceeding of the IEEE International Conference on Bioinformatics & Biomedicine, 2009.
      [Paper about the novel arrangement of binary and multiclass SVMs to reduce the false negatives in detection, when the data is imbalanced.]
       
    • Joshi, A.J., Rajshekhar, Chandran, S., Phadke, S., Jayaraman, V.K. and Kulkarni, B.D.
      Arrhythmia classification using local holder exponents and support vector machine
      In Lecture Notes in Computer Science 3776 (2005) 242--247
      Also in the proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI) (2009).
      [Paper about computing strengths of singularities in terms of local Holder exponents of the Arrhythmia signals to classify multiple classes efficiently.]

    • Jog, A., Joshi, A.J., Chandran, S., and Madabhushi, A.
      Classifying ayurvedic pulse signals via consensus locally linear embedding
      In proceedings of Biosignal (2009)


  • Presentations and Posters: