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Tommy Peng
Tommy Peng
Post-doctoral Research Fellow, The Bionics Institute of Australia
Verified email at aucklanduni.ac.nz
Title
Cited by
Cited by
Year
A machine learning approach to reconstruction of heart surface potentials from body surface potentials
A Malik, T Peng, ML Trew
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
182018
Predictive modeling of drug effects on electrocardiograms
T Peng, ML Trew, A Malik
Computers in biology and medicine 108, 332-344, 2019
82019
Deep learning neural nets for detecting heart activity
J Horvath, L Shien, T Peng, A Malik, M Trew, L Bear
arXiv preprint arXiv:1901.09831, 2019
62019
Parametric modeling of electrocardiograms using particle swarm optimization
T Peng, M Trew, A Malik
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
62018
Impulse data models for the inverse problem of electrocardiography
T Peng, A Malik, LR Bear, ML Trew
IEEE Journal of Biomedical and Health Informatics 26 (3), 1353-1361, 2021
32021
Predicting drug-mediated pro-arrhythmic effects using pre-drug electrocardiograms
T Peng, A Malik, ML Trew
Biomedical Signal Processing and Control 68, 102712, 2021
12021
Resting-state Functional Connectivity Predicts Cochlear-Implant Speech Outcomes
J Esmaelpoor, T Peng, B Jelfs, D Mao, M Shader, C McKay
medRxiv, 2024.01. 30.24301908, 2024
2024
Comparing patient-specific variations in intra-cochlea neural health estimated using psychophysical thresholds and panoramic electrically evoked compound action potentials (PECAPs)
T Peng, C Garcia, M Haneman, M Shader, RP Carlyon, C McKay
OSF, 2023
2023
A Parametric Model for Characterizing Time-Variant Single Trials of Block-Design fNIRS Experiments
T Peng, J Esmaelpoor, D Mao, OW Lee, M Haneman, G Balasubramanian, ...
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
2023
Brain Functional Connectivity Networks do not Return to Resting-state During Control Trials in Block Design Experiments*
J Esmaelpoor, T Peng, B Jelfs, MJ Shader, CM McKay, D Mao
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
2023
Data Driven Models of Electrocardiographic Signals
T Peng
PhD Thesis-University of Auckland, 2021
2021
Development and Validation for a Mobile Speech-in-Noise Audiometric Task
T Peng
2017
Development and Validation for a Mobile Speech-in-noise Audiometric Task (semantic Auditory Search)
TQ Peng
Washington University in St Louis, 2017
2017
Semantic Auditory Search as a Speech-in-Noise Diagnostic Tool
T Peng
2016
Semantic Search as a Novel Auditory Training Paradigm
T Peng
https://openscholarship.wustl.edu/vol10/110, 2015
2015
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Articles 1–15