David Jimmy Lin

Orcid: 0000-0002-9369-2362

According to our database1, David Jimmy Lin authored at least 11 papers between 2022 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Early Prediction of Impending Exertional Heat Stroke With Wearable Multimodal Sensing and Anomaly Detection.
IEEE J. Biomed. Health Informatics, December, 2023

Real-Time Seismocardiogram Feature Extraction Using Adaptive Gaussian Mixture Models.
IEEE J. Biomed. Health Informatics, August, 2023

Synthetic seismocardiogram generation using a transformer-based neural network.
J. Am. Medical Informatics Assoc., June, 2023

Leveraging Physiological Markers to Quantify the Transient Effects of Traumatic Stress and Non-Invasive Neuromodulation.
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.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

SeismoNet: A Multi-Node Wireless Wearable Platform for Enhanced Physiological Sensing.
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.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Physiological Markers Reveal Confounding Effects of Apprehension and Habituation During Stress Protocol.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Learning Seismocardiogram Beat Denoising Without Clean Data.
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.
IEEE Trans. Biomed. Eng., 2022

A Synthetic Seismocardiogram and Electrocardiogram Generator Phantom.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022


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