Farnoush Baghestani

Orcid: 0000-0002-5712-2872

According to our database1, Farnoush Baghestani authored at least 11 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions.
CoRR, May, 2026

Experimental investigation of ECG-derived skin nerve activity in sympathetic tone assessment.
Biomed. Signal Process. Control., 2026

2025
Autoencoder-Based Denoising of Muscle Artifacts in ECG to Preserve Skin Nerve Activity (SKNA) for Cognitive Stress Detection.
CoRR, September, 2025

A New Approach to Characterize Dynamics of ECG-Derived Skin Nerve Activity via Time-Varying Spectral Analysis.
IEEE Trans. Affect. Comput., 2025

Detecting Sympathetic Discharges: Comparison of Electrodermal Activity and Skin Sympathetic Nerve Activity in Stimulation-to-Response Time and Recovery Time to Baseline.
IEEE Trans. Affect. Comput., 2025

Tuning In to Nerve Activity: Audio-Inspired Features for Sympathetic State Detection.
Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

2024
Analysis of sympathetic responses to cognitive stress and pain through skin sympathetic nerve activity and electrodermal activity.
Comput. Biol. Medicine, March, 2024

Skin Sympathetic Nerve Activity Driver Extraction through Non-Negative Sparse Decomposition.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noise.
Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

2023
Comparative Analysis of ECG-derived Skin Nerve Activity and Electrodermal Activity for Assessing Sympathetic Activity.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022
Dictionary learning for sparse representation of signals with hidden Markov model dependency.
Digit. Signal Process., 2022


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