Intelligent heartsound diagnostics on a cellphone using a hands-free kit

AAAI Spring Symposium - Technical Report

Volumn SS-10-01, Issue , 2010, Pages 26-31

  Chen, T ^a   Kuan, K ^a   Celi, L ^a,b   Clifford, G D ^a,b,c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; FREQUENCY RESPONSE; SUPPLY CHAINS; TELEPHONE SETS;

AUDIO CHANNELS; DIAGNOSTIC EQUIPMENT; HANDS FREE KITS; HEART RATE VARIABILITY; HEART SOUND ANALYSIS; LOW-FREQUENCY RESPONSE; NOISE REJECTION; SCREENING SYSTEM;

HEART;

EID: 77957938300     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (32)

1. Babybeat Inc. Fetal Doppler for Monitoring at Home. Web, 20 Oct. 2009, Online: http://www.babybeat.com/.
2. Bai, Y-W, and Lu, C-L., Web-based remote digital stethoscope. Proc. of IASTED International Conference, Internet and Multimedia Systems Applications, Grindelwald, Switzerland. 2005. 423-28.
3. Bhatikar, S.R., DeGroff, C., Mahajan, R.L., A classifier based on the artificial neural network approach for cardiologie auscultation in pediatrics, Artificial Intelligence in Medicine, March 2005, 33(3) 251-260, DOI:10.1016/j.artmed.2004.07.008 (Pubitemid 40462459)
4. Black, J., Sonenberg, L., and Scheepers, R. Cell Phone Technology Is Key to Better Health in Africa, Web. 20 Oct. 2009. http://research.microsoft.com/en- us/collaboration/focus/health/smartphone-clinical-diagnosis.aspx
5. Blad, S., Welin, A.-K., Kjellmer, I., Rosen, K.G., Mallard, C., ECG and Heart Rate Variability Changes in Preterm and Near-Term Fetal Lamb Following LPS Exposure, Reproductive Sciences 2008 15: 572-583.
6. Celi, L.A., Sarmenta, L., Rotberg, J., Marcelo, A., and Clifford, G.D. Mobile Care (Moca) for Remote Diagnosis and Screening. Journal Health Informatics in Developing Countries June 2009, 3(1): 17-21.
7. Chen, J., Phua, K., Song, Y., and Shue, L. Fetal Heart Signal Monitoring with Confidence Factor, Multimedia and Expo, 2006 IEEE International Conference 1937-940.
8. Comon, P., Independent Component Analysis: a new concept?, Signal Processing, 1994, 36(3):287-314.
9. Dokur, Z. and Olmez, T., Heart sound classification using wavelet transform and incremental self-organizing map, Digital Signal Processing, Nov 2008, 18(6): 951-959.
10. Frasch, M.G., Muller, T., Weiss, C. Schwab, K., Schubert, H., and Schwab M., Heart Rate Variability Analysis Allows Early Asphyxia Detection in Ovine Fetus., Reproductive Sciences, May 1, 2009; 16(5): 509-517.
11. GSMArena Team. Apple iPhone 3GS review: Same clothes, new feel. Web. 20 Oct. 2009. http://www.gsmarena.com/apple-iphone-3gs-review-369p6.php
12. GSMArena Team. T-Mobile Gl review: The whole cagoogle, Web. 20 Oct. 2009. http://www.gsmarena.com/t-mobile-gl-review-337p7.php
13. Hamilton, P.S. and Tompkins, W.J., Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database, IEEE Trans. Biomed. Eng., BME-1986, 33(12):1157-1165.
14. Hutchinson, J. and Wyatt, J. Freeplay Fetal Heart Rate Monitor, Web. 20 Oct. 2009. http://www.designtoimprovelife.dk/index.php?option=com-content- custom&view=article&id=373:free-play-fetal-heart-reat-monitor&catid= 9:winners-2009&Itemid=20-
15. Jin, Z., Sun, Y., and Cheng, A.C., Predicting Cardiovascular Disease from Real-Time Electrocardiographic Monitoring: An Adaptive Machine Learning Approach on a Cell Phone, In Proceedings of the 31th International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), September 2009, Minneapolis, MN, in press.
16. Kovatchev, B.P., Farhy, L.S., Cao, H., Griffin, M.P., Lake D.E., Moorman, J.R. Sample asymmetry analysis of heart rate characteristics with application to neonatal sepsis and systemic inflammatory response syndrome. Pediatr Res. 2003; 54:892-898.
17. Li, Q., Mark, R.G. and Clifford, G.D., Artificial arterial blood pressure artifact models and an evaluation of a robust blood pressure and heart rate estimator. BioMedical Engineering OnLine 8 July 2009, 8:13. doi.10.1186/1475- 925X-8-13.
18. Li, Q., Mark, R.G. and Clifford, G.D. Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kaiman filter, IOP Physiol. Meas. Dec 2008; 29: 15-32.
19. Mittra, A.K., System simulation for a novel fetal monitoring methodology, Int. J. Engineering Systems Modelling and Simulation, 2009, 1, 92-100.
20. Nemati, S., Abdala, O.T. and Clifford, G.D. Data Fusion for Improved Respiration Rate Estimation. MIT Technical Report, January 2009.
21. Oresko, J., Cheng, J., Duschl, H., and Cheng, A.C., Transplanting a Resting ECG Machine to a Cell Phone for Real-Time ECG Acquisition, Feature Extraction, and Statistical Cardiac Summary Reports, In Proceedings of the 2009 Biomedical Engineering Society Annual Scientific Meeting (BMES), October 2009, Pittsburgh, PA, in press.
22. Pan, J. and Tompkins, W.J, A real-time QRS detection algorithm. IEEE Trans. Biomed. Eng., BME-32 (3):230-236, 1985.
23. Richards, O. UNICEF report: Half a million women die from pregnancy complications each year, World Socialist Web Site. 20 Jan. 2009. Web. 30 Oct. 2009. http://www.wsws.org/articles/2009/jan2009/chil-j20.shtml
24. Rosqvist, T., E. Paajanen, K. Kallio, H. M. Rajala, and T. Katila. Toolkit for lung sound analysis. Medical and Biological Engineering and Computing 1995; 33.2:190-95.
25. R.A.L.E. Repository. Web. 14 Aug. 2009. http://www.rale.ca/,
26. Sameni, R., Jutten, C., Shamsollahi, M.B, Multichannel Electrocardiogram Decomposition using Periodic Component Analysis, IEEE Trans. on Biomed. Eng., Aug. 2008, 55(8), 1935-40.
27. Sung, M., Marci, C. and Pentland, A., Objective Physiological and Behavioral Measures for Tracking Depression, Masters Thesis (excerpt), Massachusetts Institute of Technology, October 2005. http://vismod.media.mit. edU//tech-reports/TR-595.pdf
28. Syed, Z.H. MIT Automated Auscultation System, Masters Thesis. Massachusetts Institute of Technology, 2003.
29. Tan., A. and Masek, M., Fetal Heart Rate and Activity Monitoring via Smart Phones. mHealth Summit 2009, Washington DC, 29 Oct. 2009 - 30 Oct. 2009. Online: http://research.microsoft.com/en-us/events/mhealth2009/tan-masek- presentation.pdf
30. Thomas F. Budinger, Biomonitoring with Wireless Communications, Biomed. Eng. 2003. 5:383-412. doi:10.1146/annurev.bioeng.5.040202.121653 (Pubitemid 40125317)
31. United Nations. It's Your World. United Nations Millennium Development Goals, Web. 14 Aug. 2009. http://www.un.org/millenniumgoals/maternal.shtml
32. Universal Access- how mobile can bring communications to all. Intelecon for GSMA for Asia Congress, Singapore, Oct. 2006. Web. Oct. 2009. http://www.gsmworld.com/documents/universal-accessfull-report.pdf