INTELLIGENT DIAGNOSTICS

Auscultation is an important diagnostic indicator for cardiovascular analysis. Heart sound classification and analysis play an important role in the auscultative diagnosis. This study uses a combination of Mel-frequency cepstral coefficient (MFCC) and hidden Markov model (HMM) to efficiently extract the features for pre-processed heart sound cycles for the purpose of classification. A system was developed to interpret heart sounds acquired by phonocardiography using pattern recognition. The task of feature extraction was performed using three methods: time-domain feature, short-time Fourier transforms (STFT) and MFCC.

 

G-LOC: The loss of consciousness due to high gravitational force (G-Force) acting on human body has always been a problem in the aviation field, especially for the pilots of the high performance aircrafts. When a person is subjected to high gravitational force, there will be ischemic insult to the brain due to the large drop of the blood pressure going to the brain. During the insult, the brain will debar some of its neural activity as its survival mechanism, and this process may lead to the loss of consciousness.  We developed a Doppler ultrasound based sensing system in order to predict the body state pertinent to the G-LOC. The system measures the cerebral blood flow which is the main somatic reason for the ischemic insult that leads to the G-LOC.

 

Current/Available Projects:  

 

  • Sensors and Transducers Development:

         1. Tactile Sensors and Haptics;

         2. Intelligent Stethoscope and other primary diagnostic tools;

  • Prediction and Control Strategies:

         1. Intelligent surgical planning;

         2. Modelling and predicting G-LOC;

3. Intelligent diagnostics in:

a. Aerospace Applications;

b. Process Control;

c. Home Healthcare;

d. Environmental Pollution;

 

 

 

 

 

 

Our relevant publications:

 

 

  • Pourabbas, S., Chauhan, S., 2014, Spring-based tactile array for assistive robotic surgical applications, Maejo International Journal of Science and Technology [P], vol 8, issue 2, Maejo University, Chiang Mai Thailand, pp. 165-180.

 

  • Modelling and Analysis of Breathing Induced Lung Motion on Athletic Performance, Sunita Chauhan, Ranjaka De Mel, Jason Andraos, International Conference in Sports Science & Technology, December 11-12, 2014, Singapore

 

  • Vision-based Robot-assisted Biological Cell Micromanipulation, Fatemeh Karimirad, Sunita Chauhan, Bijan Shirinzadeh, Tom Drummond, Saeid Nahavandi, Proc. Of the 23rd IEEE International Symposium on Robot and Human Interactive Communication August 25-29, 2014. Edinburgh, Scotland, UK, pp 347-352.

 

  • Karimirad F, Chauhan S, Shirinzadeh B, Vision-based Force Measurement Using Neural Networks for Biological Cell Microinjection, Journal of Biomechanics, 2013 Dec 14. S0021-9290(13)00628-3.

 

  • Swandito Susanto, M Skote and S Chauhan, In Vitro Assessment of Combined Doppler Ultrasound and CFD modeling in Arterial Blood Flow Quantification, Flow Measurement and Instrumentation journal, Volume 33, October 2013, Pages 218–227.

 

  • Hamed Keramati, Martin Skote, Swandito, Sunita Chauhan, A Grid Study and Comparison of Convergence of Tetrahedral and Polyhedral Mesh for Blood Flow Simulation in the Aortic Arc, submitted to Progress in Computational fluid Dynamics – under review.

 

  • Sunita Chauhan, Dynamic Registration and Calibration Challenges during Minimally Invasive and Non-invasive Robotic Surgery, Proc. of AdMET, 8th Intl’ Conference on Advances in Metrology, Feb.21-23, 2013, NPL, New Delhi, India – Invited Paper

 

  • S Chauhan, Y Li, AC Ritchie* and M Skote, Modeling and Monitoring Cerebral Perfusion in Predicting G-LOC, in Proc. of UIA 2011, June 22-25th, Glasgow UK.

 

  • Safar Pour Abbas, Sunita Chauhan, Gih Keong Lau and Soo Jay Phee, Real-time, Non-vision Sensory Feedback during Minimally Invasive Surgery, Proceedings of the IEEE, TENCON-09, November 2009, Singapore.

 

  • Safar Pour Abbas, Sunita Chauhan, Real-time, Non-vision Sensory Feedback during Minimally Invasive Surgery, presented at The Asia-Oceania Top University League on Engineering, AOTULE, 2-3 Dec. 2009, Taiwan.

 

  • Chauhan S, Wang P et al., A computer-aided MFCC-based HMM system for automatic auscultation, Computers in Biology and Medicine, Volume 38, Issue 2 , pp 221-233, 2008.

 

  • Wang P, Lim CS, Chauhan S, et al.  Phonocardiographic signal analysis method using a modified hidden Markov model, Annals of Biomedical Engineering 35 (3): 367-374 MAR, 2007.

 

  • Sunita Chauhan, Image Acquisition and Data Fusion for Planning and Feedback during Image Guided Surgery, Proceedings of the 9th Intl’ conference on Information FUSION 06, 10-13 July’ 06, Florence, Italy.

 

  • Wang Ping, Sunita Chauhan, Lim Chu Sing, Heiko Schroeder, V. Anantharaman,  Hidden Markov Model Based Intelligent Stethoscope, 4th Annual NTU-SGH BME Symposium, Singapore, 25th April, 2002.

 

  • Heiko Schroeder, Wong Mun Tuck, Widya Widjoj, Sunita Chauhan, The Electronic Streo Stethoscope – A Feasibility Study, 4th Annual NTU-SGH BME Symposium, Singapore, 26th April, 2001.

 

  • Chauhan Sunita,  Lim Chu Sing, V.Anantharaman  Li Hongli,  Design And Development Of A Digital Intelligent Stethoscope, 3rd Annual NTU-SGH BME Symposium, Singapore, 14th April, 2000.

 

 

 

 

 

Last Updated : January 2019

Website Administrator : Ranjaka De Mel