Our Faculty, Staff & Students

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Krenicki Professor of Biomedical Engineering and Department Chair

Dr. Ki Chon
Phone: (860) 486-4767
Email: kchon@engr.uconn.edu

Staff

Lisa Ephraim
Undergraduate Academic Advisor
Phone: (860) 486-0163
E-mail: lisae@engr.uconn.edu

Jennifer Desrosiers
Financial Assistant II
Phone: (860) 486-0116
E-mail: jennd@engr.uconn.edu

Amanda Sierpinski
Financial Assistant II (Grants and Contracts) 
Phone: (860) 486-3869
E-mail: ams13020@engr.uconn.edu

 

Main Office Address

Biomedical Engineering Department
A.B. Bronwell Building, Room 217
260 Glenbrook Road, Unit 3247
University of Connecticut
Storrs, CT 06269-3247
Phone: (860) 486-5838
Fax: (860) 486-2500

Chon, Ki

New_Ki-Chon-228x300
Ki Chon, Ph.D.
Krenicki Professor of Biomedical Engineering & Department Head
Research Interests:  
Medical instrumentation, biomedical signal processing, and identification and modeling of physiological systems.
Address:   
Bronwell 217C, 260 Glenbrook Road, Unit 3247 
University of Connecticut
Storrs, CT 06269-3247
Office Phone: (860) 486-4767
Office Fax: (860) 486-4767
Education:
BS University of Connecticut
MS University of Iowa
MS University of Southern California
PhD University of Southern California
Postdoc MIT  

Research Summary:

Research in my laboratory involves medical instrumentation, biosignal processing, modeling, simulation and development of novel algorithms to understand dynamic processes and extract distinct features of physiological systems.  Currently, there are six research projects ongoing in my laboratory:

  • Evaluation of the effects of oxygen toxicity and hyperbaric environments on the autonomic nervous system:  The goal is to develop noninvasive approaches for early detection of and differentiation between fatal and non-fatal decompression sickness (DCS).  Both swine and human experiments are being conducted to test the robustness of our algorithm for early detection and prediction of DCS.
  • Real-time detection of atrial fibrillation, atrial flutter and atrial tachycardia from surface ECG:  The goal is to develop real-time algorithms for accurate detection of atrial fibrillation, flutter and tachycardia that are especially applicable for Holter monitoring devices.
  • Spatio-temporal analysis of renal autoregulation:  The goal is to understand how nephrons synchronize to autoregulate renal blood flow using laser speckle imaging techniques.  
  • Noninvasive assessment of diabetic cardiovascular autonomic neuropathy (DCAN) from surface ECG or pulse oximeter:  The goal is to develop noninvasive approaches for early detection of DCAN. Diabetic and control mice are used to collect ECG data and validation of computational data analysis results is measured against Western blot and immunohistochemistry.
  • Vital sign monitoring from optical recordings with a mobile phone: The goal is to utilize a mobile phone video camera to extract vital sign and physiological parameters, which may include heart rate, oxygen saturation, respiratory rate, atrial fibrillation detection, blood loss detection, and the dynamics of the autonomic nervous system.
  • Wearable devices for vital sign monitoring: The goal is to develop wearable devices (e.g., chest strap, wearable shirt and watches) and new sensors (e.g., dry ECG, skin conductance and EMG electrodes) to measure vital sign and physiological parameters for both dry and water immersion conditions.

Honors and Awards:

  • Fellow, International Academy of Medical and Biological Engineering (IAMBE)
  • Fellow, American Institute for Medical and Biological Engineering (AIMBE)
  • Program Co-Chair, 28th International Conference of the IEEE EMBS, 2006, NYC.
  • Krenicki Endowed Chair Professor at UConn
Selected Publications:

Google Scholar Citations Link

PubMed Citations Link

  1. Chong, J, D.K. Dao, S.M.A. Salehizadeh, D.D. McManus, C.E. Darling, K.H. Chon, and Y. Mendelson, Photoplethysmograph signal reconstruction based on a novel hybrid motion artifact dection-reduction approach- Part I: motion and noise artifact detection, Annals of BME, 42:2238-2250, 2014.
  2. Chon, K.H., B. Yang, H. Posada-Quintero, M. Rolle, P.R. Brink, and L.C. Moore, A novel quantitative method for diabetic cardiovascular autonomic neuropathy assessment in type 1 diabetic mice.  J. Diabetes Science & Technology, 8:1157-1167, 2014.
  3. Salehizadeh, S.M.A., D.K. Dao, J. Chong, Y. Mendelson, D.D. McManus, C. Darling and K.H. Chon, Photoplethysmograph signal reconstruction based on a novel motion artifact detection- reduction approach- Part II: motion and noise artifact removal.  Annals of BME, 42:2238-2250, 2014.
  4. Reyes, B., N. Reljin, and K.H. Chon, Tracheal sounds acquisition using smartphones, Sensors, 14(8): 13830-13850, 2014.
  5. Reyes, B., H.F. Posada-Quintero, J. Bales, A. Clement, G.P. Pins, A. Swiston, J.P. Florian, B. Shykoff, M. Qin and K.H. Chon, Novel electrodes for underwater ECG monitoring.  IEEE Trans BME, 61:1863-1876, 2014.