Andrew Peitzsch

Orcid: 0000-0002-4933-6432

According to our database1, Andrew Peitzsch authored at least 10 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Towards real-world wearable sleepiness detection: Electrodermal activity data during speech can identify sleep deprivation.
Comput. Biol. Medicine, 2025

2024
Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder.
Expert Syst. Appl., March, 2024

Noise Reduction in Photoplethysmography Signals Using a Convolutional Denoising Autoencoder With Unconventional Training Scheme.
IEEE Trans. Biomed. Eng., February, 2024

Automatic motion artifact detection in electrodermal activity signals using 1D U-net architecture.
Comput. Biol. Medicine, 2024

Objective Assessment of Acute Stress Disorder in Female Subjects Using Wearable Measures of Electrodermal Activity<sup>*</sup>.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Acute Stress Disorder Detection using Machine Learning based on resting-state fMRI.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Development and Verification of an Electrode for Recording Electrodermal Activity Underwater.
Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

Classification of Sensory Nerve Fiber Stimulation Using Electrodermal Activity.
Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

2022
Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection.
IEEE Trans. Biomed. Eng., 2022

2020
Verification of accuracy of an algorithmic image-based dental pulp vitality test.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020


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