Mohammad Nikbakht

Orcid: 0000-0002-5124-684X

According to our database1, Mohammad Nikbakht authored at least 12 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity.
IEEE J. Biomed. Health Informatics, July, 2024

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

Dual-Mode Chest Wearable E-Tattoo for the Mobile Detection of Cardiac Time Intervals.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

Estimating Heart Rate from Seismocardiogram Signal using a Novel Deep Dominant Frequency Regressor and Domain Adversarial Training.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022


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