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.

Journal Articles & Preprints

• A Novel Approach to Characterize Dynamics of ECG-Derived Skin Nerve Activity via Time-Varying Spectral Analysis
  Y Kong, F Baghestani, W D’Angelo, I Chen, KH Chon
  arXiv preprint arXiv:2411.08308

• Automatic motion artifact detection in electrodermal activity signals using 1D U-net architecture
  Y Kong, MB Hossain, A Peitzsch, HF Posada-Quintero, KH Chon
  Computers in Biology and Medicine 182, 109139

• Sex differences in autonomic functions and cognitive performance during cold-air exposure and cold-water partial immersion
  Y Kong, MB Hossain, R McNaboe, HF Posada-Quintero, M Daley, K Diaz, …
  Frontiers in Physiology 15, 1463784

• ECG classification via integration of adaptive beat segmentation and relative heart rate with deep learning networks
  J Lim, D Han, MPS Nejad, KH Chon
  Computers in Biology and Medicine 181, 109062

• Electrodermal activity in pain assessment and its clinical applications
  Y Kong, KH Chon
  Applied Physics Reviews 11 (3)

• Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a cascade of CNNEDs
  MPS Nejad, V Kargin, S Hajeb-M, D Hicks, M Valentine, KH Chon
  Computers in Biology and Medicine 172, 108180

• Analysis of sympathetic responses to cognitive stress and pain through skin sympathetic nerve activity and electrodermal activity
  F Baghestani, Y Kong, W D’Angelo, KH Chon
  Computers in Biology and Medicine 170, 108070

• Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder
  F Mohagheghian, D Han, O Ghetia, D Chen, A Peitzsch, N Nishita, …
  Expert Systems With Applications 237, 121611

• Minimax Rao-blackwellized particle filtering in 2D LIDAR SLAM
  J Lim, KH Chon
  International Journal of Control, Automation and Systems 22 (6), 1947-1957

• Tracking Tidal Volume From Holter and Wearable Armband Electrocardiogram Monitoring
  J Lázaro, N Reljin, R Bailón, E Gil, Y Noh, P Laguna, KH Chon
  IEEE Journal of Biomedical and Health Informatics

• Prediction of central nervous system oxygen toxicity symptoms using electrodermal activity and machine learning
  MB Hossain, K Golzari, Y Kong, BJ Derrick, RE Moon, MJ Natoli, MC Ellis, …
  Biocybernetics and Biomedical Engineering 44 (2), 304-311

• Visions for digital integrated cardiovascular care: HRS Digital Health Committee perspectives
  SM Narayan, EY Wan, JG Andrade, JNA Silva, NK Bhatia, T Deneke, …
  Cardiovascular Digital Health Journal 5 (2), 37-49

• 21 Electrodermal Activity: Applications and Challenges
  MB Hossain, Y Kong, HF Posada-Quintero, KH Chon

Conference Papers (IEEE & Others)

• Development and Verification of an Electrode for Recording Electrodermal Activity Underwater
  AG Peitzsch, MPS Nejad, KH Chon
  IEEE 20th International Conference on Body Sensor Networks (BSN), 1-4

• Toward Effective Sleepiness Simulation: Validation Using Perceptual and Physiological Measures
  J Moon, Y Gupta, KH Chon
  IEEE 20th International Conference on Body Sensor Networks (BSN), 1-4

• Classification of Sensory Nerve Fiber Stimulation Using Electrodermal Activity
  AG Peitzsch, Y Kong, M Mahjabin, KH Chon
  IEEE 20th International Conference on Body Sensor Networks (BSN), 1-4

• Smartwatch Photoplethysmogram-Based Atrial Fibrillation Detection with Premature Atrial and Ventricular Contraction Differentiation Using Densely Connected Convolutional Neural Networks
  D Chen, D Han, LR Mercado-Díaz, J Moon, KH Chon
  IEEE 20th International Conference on Body Sensor Networks (BSN), 1-4

• Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noise
  F Baghestani, MPS Nejad, Y Kong, KH Chon
  IEEE 20th International Conference on Body Sensor Networks (BSN), 1-4

• Objective Assessment of Acute Stress Disorder in Female Subjects Using Wearable Measures of Electrodermal Activity
  AG Peitzsch, Y Kong, HF Posada-Quintero, KH Chon
  46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

• Acute Stress Disorder Detection using Machine Learning based on resting-state fMRI
  Y Kong, A Peitzsch, HF Posada-Quintero, KH Chon
  46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

• Toward Accurate Sleepiness Estimation Modeling from Speech: A Preliminary Study of 25-Hour Sleep Deprivation
  J Moon, Y Kong, KH Chon
  46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

• Skin Sympathetic Nerve Activity Driver Extraction through Non-Negative Sparse Decomposition
  F Baghestani, Y Kong, KH Chon
  46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society