141 related articles for article (PubMed ID: 36113446)
1. An unsupervised automated paradigm for artifact removal from electrodermal activity in an uncontrolled clinical setting.
Subramanian S; Tseng B; Barbieri R; Brown EN
Physiol Meas; 2022 Nov; 43(11):. PubMed ID: 36113446
[No Abstract] [Full Text] [Related]
2. Unsupervised Machine Learning Methods for Artifact Removal in Electrodermal Activity.
Subramanian S; Tseng B; Barbieri R; Brown EN
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():399-402. PubMed ID: 34891318
[TBL] [Abstract][Full Text] [Related]
3. A Preliminary Study on Automatic Motion Artifact Detection in Electrodermal Activity Data Using Machine Learning.
Hossain MB; Posada-Quintero HF; Kong Y; McNaboe R; Chon KH
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():6920-6923. PubMed ID: 34892695
[TBL] [Abstract][Full Text] [Related]
4. A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity Signals: A Preliminary Study.
Hossain MB; Posada-Quintero HF; Chon KH
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():325-328. PubMed ID: 36085929
[TBL] [Abstract][Full Text] [Related]
5. Wavelet-based motion artifact removal for electrodermal activity.
Chen W; Jaques N; Taylor S; Sano A; Fedor S; Picard RW
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():6223-6. PubMed ID: 26737714
[TBL] [Abstract][Full Text] [Related]
6. Simulation of ambulatory electrodermal activity and the handling of low-quality segments.
Pattyn E; Thammasan N; Lutin E; Tourolle D; Van Kraaij A; Kosunen I; De Raedt W; Van Hoof C
Comput Methods Programs Biomed; 2023 Dec; 242():107859. PubMed ID: 37863009
[TBL] [Abstract][Full Text] [Related]
7. Breathe Easy EDA: A MATLAB toolbox for psychophysiology data management, cleaning, and analysis.
Ksander JC; Kark SM; Madan CR
F1000Res; 2018; 7():216. PubMed ID: 30647904
[TBL] [Abstract][Full Text] [Related]
8. Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning.
Sriram Kumar P ; Govarthan PK; Ganapathy N; Agastinose Ronickom JF
Stud Health Technol Inform; 2023 May; 302():73-77. PubMed ID: 37203612
[TBL] [Abstract][Full Text] [Related]
9. A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity.
Hossain MB; Posada-Quintero HF; Chon KH
IEEE Trans Biomed Eng; 2022 Dec; 69(12):3601-3611. PubMed ID: 35544485
[TBL] [Abstract][Full Text] [Related]
10. Automatic identification of artifacts in electrodermal activity data.
Taylor S; Jaques N; Chen W; Fedor S; Sano A; Picard R
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():1934-7. PubMed ID: 26736662
[TBL] [Abstract][Full Text] [Related]
11. Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices' Quality and Robustness against Motion Artifact.
Hossain MB; Kong Y; Posada-Quintero HF; Chon KH
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590866
[TBL] [Abstract][Full Text] [Related]
12. Model- based filtering for artifact and noise suppression with state estimation for electrodermal activity measurements in real time.
Tronstad C; Staal OM; Saelid S; Martinsen OG
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():2750-3. PubMed ID: 26736861
[TBL] [Abstract][Full Text] [Related]
13. A Comparison of Five Algorithmic Methods and Machine Learning Pattern Recognition for Artifact Detection in Electronic Records of Five Different Vital Signs: A Retrospective Analysis.
Maleczek M; Laxar D; Kapral L; Kuhrn M; Abulesz YT; Dibiasi C; Kimberger O
Anesthesiology; 2024 Jul; 141(1):32-43. PubMed ID: 38466210
[TBL] [Abstract][Full Text] [Related]
14. Analysis of sympathetic responses to cognitive stress and pain through skin sympathetic nerve activity and electrodermal activity.
Baghestani F; Kong Y; D'Angelo W; Chon KH
Comput Biol Med; 2024 Mar; 170():108070. PubMed ID: 38330822
[TBL] [Abstract][Full Text] [Related]
15. Influence of ambient temperature on tonic and phasic electrodermal activity components.
Qasim MS; Bari DS; Martinsen ØG
Physiol Meas; 2022 Jun; 43(6):. PubMed ID: 35609614
[No Abstract] [Full Text] [Related]
16. Automated Pain Assessment using Electrodermal Activity Data and Machine Learning.
Susam BT; Akcakaya M; Nezamfar H; Diaz D; Xu X; de Sa VR; Craig KD; Huang JS; Goodwin MS
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():372-375. PubMed ID: 30440413
[TBL] [Abstract][Full Text] [Related]
17. Car Driver's Sympathetic Reaction Detection Through Electrodermal Activity and Electrocardiogram Measurements.
Zontone P; Affanni A; Bernardini R; Piras A; Rinaldo R; Formaggia F; Minen D; Minen M; Savorgnan C
IEEE Trans Biomed Eng; 2020 Dec; 67(12):3413-3424. PubMed ID: 32305889
[TBL] [Abstract][Full Text] [Related]
18. The Five Basic Human Senses Evoke Electrodermal Activity.
Bari DS; Rammoo MNS; Aldosky HYY; Jaqsi MK; Martinsen ØG
Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37837011
[TBL] [Abstract][Full Text] [Related]
19. Unsupervised EEG Artifact Detection and Correction.
Saba-Sadiya S; Chantland E; Alhanai T; Liu T; Ghassemi MM
Front Digit Health; 2020; 2():608920. PubMed ID: 34713069
[TBL] [Abstract][Full Text] [Related]
20. A Model-Based Framework for Assessing the Physiologic Structure of Electrodermal Activity.
Subramanian S; Purdon PL; Barbieri R; Brown EN
IEEE Trans Biomed Eng; 2021 Sep; 68(9):2833-2845. PubMed ID: 33822719
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]