David Jimmy Lin

According to our database, David Jimmy Lin authored at least 18 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Characterizing Central-Autonomic Dynamics During an Episodic Memory Task Using Multi-Modal Neural and Cardiomechanical Signals.

Vikram Abbaraju, Ty Lees, Michael J. Cho, Ryan Emadi, David Jimmy Lin, John A. Berkebile, Nigel Lee, Jena L. Nawfel, Ryan M. Dougherty, Rebecca Dunayev, Michelle A. Karker, Lia M. Bonacci, Daniel Mathew, Tayler D. Mauk, Jason B. Goodman, Anna Wexler, Paola Pedrelli, Diego A. Pizzagalli, Daniel G. Dillon, Andrea K. Webb, Omer T. Inan

IEEE Trans. Biomed. Eng., June, 2026

Modeling Latent Dynamics of the Autonomic Nervous System in Response to Trauma Recall and Non-Invasive Vagus Nerve Stimulation.

Asim Hossain Gazi, Sungtae An, Jesus Antonio Sanchez-Perez, Michael Chan, Mohammad Nikbakht, David Jimmy Lin, Shlok Natarajan, Kyle A. Johnsen, J. Douglas Bremner, Jin-Oh Hahn, Omer T. Inan, Christopher J. Rozell

IEEE Trans. Biomed. Eng., January, 2026

2025

Denoising Motion-Corrupted Seismocardiogram Signals Using Score-Based Generative Diffusion Models.

David Jimmy Lin, Mohammad Nikbakht, Omer T. Inan

IEEE J. Biomed. Health Informatics, November, 2025

Enabling Robust Online Processing of Physiological Signals Corrupted by External Vibrations.

David Jimmy Lin

PhD thesis, 2025

BallistoBud: Heart Rate Variability Monitoring using Earbud Accelerometry for Stress Assessment.

Md Saiful Islam, Md Mahbubur Rahman, Mehrab Bin Morshed, David Jimmy Lin, Yunzhi Li, Hao Zhou, Wendy Berry Mendes, Jilong Kuang

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity.

Mohammad Nikbakht, Michael Chan, David Jimmy Lin, Asim Hossain Gazi, Omer T. Inan

IEEE J. Biomed. Health Informatics, July, 2024

Ballistocardiogram-Based Heart Rate Variability Estimation for Stress Monitoring using Consumer Earbuds.

David Jimmy Lin, Md Mahbubur Rahman, Li Zhu, Viswam Nathan, Jungmok Bae, Christina Rosa, Wendy Berry Mendes, Jilong Kuang, Jun Alex Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Early Prediction of Impending Exertional Heat Stroke With Wearable Multimodal Sensing and Anomaly Detection.

Cem Okan Yaldiz, Mark J. Buller, Kristine L. Richardson, Sungtae An, David Jimmy Lin, Aprameya Satish, Kyla Driver, Emma Atkinson, Timothy Mesite, Christopher King, Max Bursey, Meghan Galer, Mindy L. Millard-Stafford, Michael N. Sawka, Alessio Medda, Omer T. Inan

IEEE J. Biomed. Health Informatics, December, 2023

Real-Time Seismocardiogram Feature Extraction Using Adaptive Gaussian Mixture Models.

David Jimmy Lin, Asim Hossain Gazi, Jacob Kimball, Mohammad Nikbakht, Omer T. Inan

IEEE J. Biomed. Health Informatics, August, 2023

Synthetic seismocardiogram generation using a transformer-based neural network.

Mohammad Nikbakht, Asim Hossain Gazi, Jonathan Zia, Sungtae An, David Jimmy Lin, Omer T. Inan, Rishikesan Kamaleswaran

J. Am. Medical Informatics Assoc., June, 2023

Leveraging Physiological Markers to Quantify the Transient Effects of Traumatic Stress and Non-Invasive Neuromodulation.

Asim Hossain Gazi, Jesus Antonio Sanchez-Perez, Shlok Natarajan, Michael Chan, Mohammad Nikbakht, David Jimmy Lin, J. Douglas Bremner, Jin-Oh Hahn, Omer T. Inan, Christopher J. Rozell

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

KneeMS: A Low-Cost Wireless Wearable System to Monitor Knee Acoustic Emissions.

Mohammad Nikbakht, Quentin Goossens, Goktug Cihan Ozmen, Markella Bibidakis, David Jimmy Lin, Omer T. Inan

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

SeismoNet: A Multi-Node Wireless Wearable Platform for Enhanced Physiological Sensing.

Mohammad Nikbakht, Michael Chan, David Jimmy Lin, Christopher J. Nichols, Markella Bibidakis, Moamen Soliman, Omer T. Inan

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Enabling Robust Detection of Cardiac Timing Intervals During Hemorrhage While in the Presence of Military Vehicle Vibrations.

David Jimmy Lin, Mohammad Nikbakht, Ryan Lewis, Alessio Medda, Omer T. Inan

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Physiological Markers Reveal Confounding Effects of Apprehension and Habituation During Stress Protocol.

Asim Hossain Gazi, Jesus Antonio Sanchez-Perez, Michael Chan, Mohammad Nikbakht, David Jimmy Lin, Shlok Natarajan, J. Douglas Bremner, Jin-Oh Hahn, Omer T. Inan, Christopher J. Rozell

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Learning Seismocardiogram Beat Denoising Without Clean Data.

Mohammad Nikbakht, David Jimmy Lin, Omer T. Inan

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

Reducing the Impact of External Vibrations on Fiducial Point Detection in Seismocardiogram Signals.

David Jimmy Lin, Jacob Kimball, Jonathan Zia, Venu G. Ganti, Omer T. Inan

IEEE Trans. Biomed. Eng., 2022

A Synthetic Seismocardiogram and Electrocardiogram Generator Phantom.

Mohammad Nikbakht, David Jimmy Lin, Asim Hossain Gazi, Omer T. Inan

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022