Andrew Peitzsch
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Explore the profile of Andrew Peitzsch including associated specialties, affiliations and a list of published articles.
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5
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20
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Recent Articles
1.
Kong Y, Peitzsch A, Posada-Quintero H, Chon K
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40040221
Early diagnosis of Acute Stress Disorder (ASD) is important, given its potential progression to post-traumatic system disorder (PTSD). The current diagnostic tool has some degree of subjectiveness in assessing emotional...
2.
Moon J, Peitzsch A, Kong Y, Seshadri P, Chon K
Comput Biol Med
. 2024 Nov;
184:109320.
PMID: 39581122
Accurate assessment of sleepiness is pivotal in managing the fatigue-associated risks stemming from sleep deprivation. Speech signals are easy to obtain, allowing detection of sleepiness anywhere. Previous machine learning (ML)...
3.
Kong Y, Hossain M, Peitzsch A, Posada-Quintero H, Chon K
Comput Biol Med
. 2024 Sep;
182:109139.
PMID: 39270456
We developed a method for automated detection of motion and noise artifacts (MNA) in electrodermal activity (EDA) signals, based on a one-dimensional U-Net architecture. EDA has been widely employed in...
4.
Mohagheghian F, Han D, Ghetia O, Peitzsch A, Nishita N, Pirayesh Shirazi Nejad M, et al.
IEEE Trans Biomed Eng
. 2023 Sep;
71(2):456-466.
PMID: 37682653
Objective: We propose an efficient approach based on a convolutional denoising autoencoder (CDA) network to reduce motion and noise artifacts (MNA) from corrupted atrial fibrillation (AF) and non-AF photoplethysmography (PPG)...
5.
Mohagheghian F, Han D, Peitzsch A, Nishita N, Ding E, Dickson E, et al.
IEEE Trans Biomed Eng
. 2022 Mar;
69(9):2982-2993.
PMID: 35275809
Objective: With the increasing use of wearable healthcare devices for remote patient monitoring, reliable signal quality assessment (SQA) is required to ensure the high accuracy of interpretation and diagnosis on...
6.
Han D, Bashar S, Lazaro J, Mohagheghian F, Peitzsch A, Nishita N, et al.
Biosensors (Basel)
. 2022 Feb;
12(2).
PMID: 35200342
Objective: We have developed a peak detection algorithm for accurate determination of heart rate, using photoplethysmographic (PPG) signals from a smartwatch, even in the presence of various cardiac rhythms, including...