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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.
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.
Research Interests
Papers共 331 篇Author StatisticsCo-AuthorSimilar Experts
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Cardiovascular Digital Health Journal (2024)
Md-Billal Hossain,Kia Golzari,Youngsun Kong,Bruce J. Derrick,Richard E. Moon,Michael J. Natoli, M. Claire Ellis,Christopher Winstead-Derlega, Sara I. Gonzalez, Christopher M. Allen, Mathew S. Makowski, Brian M. Keuski,
Biocybernetics and Biomedical Engineeringno. 2 (2024): 304-311
IEEE journal of biomedical and health informaticsno. 6 (2024): 3457-3465
2023 IEEE 19th International Conference on Body Sensor Networks (BSN)pp.1-4, (2023)
PHYSIOLOGYno. S1 (2023)
Neural networks : the official journal of the International Neural Network Society (2023): 562-595
Fahimeh Mohagheghian,Dong Han, Om Ghetia,Andrew Peitzsch,Nishat Nishita, Mahdi Pirayesh Shirazi Nejad,Eric Y Ding,Kamran Noorishirazi,Alexander Hamel,Edith Mensah Otabil,Danielle DiMezza,Emily L Dickson,
FRONTIERS IN DIGITAL HEALTH (2023): 1243959-1243959
JMIR Cardio (2023): e45137-e45137
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