Detalhe da pesquisa
1.
ZnO nanoparticles-copper metal-organic framework composite on 3D porous nickel foam: a novel electrochemical sensing platform to detect serotonin in blood serum.
Nanotechnology
; 34(40)2023 Jul 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-37399793
2.
Printed and Flexible ECG Electrodes Attached to the Steering Wheel for Continuous Health Monitoring during Driving.
Sensors (Basel)
; 22(11)2022 May 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-35684817
3.
Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review.
Sensors (Basel)
; 22(11)2022 May 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-35684717
4.
A data driven learning approach for the assessment of data quality.
BMC Med Inform Decis Mak
; 21(1): 302, 2021 11 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34724930
5.
Automatic Detection of Atrial Fibrillation in ECG Using Co-Occurrence Patterns of Dynamic Symbol Assignment and Machine Learning.
Sensors (Basel)
; 21(10)2021 May 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-34069717
6.
Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network.
J Med Syst
; 45(4): 49, 2021 Mar 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33660087
7.
Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning.
Stud Health Technol Inform
; 302: 73-77, 2023 May 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-37203612
8.
Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals.
Stud Health Technol Inform
; 305: 40-43, 2023 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-37386952
9.
Assessment of Driver's Stress using Multimodal Biosignals and Regularized Deep Kernel Learning.
Annu Int Conf IEEE Eng Med Biol Soc
; 2023: 1-4, 2023 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-38083362
10.
A protocol for a systematic review of electronic early warning/track-and-trigger systems (EW/TTS) to predict clinical deterioration: Focus on automated features, technologies, and algorithms.
PLoS One
; 18(3): e0283010, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36920960
11.
Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning.
Stud Health Technol Inform
; 305: 52-55, 2023 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-37386956
12.
Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression.
Stud Health Technol Inform
; 305: 81-84, 2023 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-37386963
13.
Phenotypes based Classification of Blood-Brain-Barrier Drugs using Feature Selection Methods and Extreme Gradient Boosting.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 1346-1349, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-36085687
14.
Extreme Gradient Boosting Based Improved Classification of Blood-Brain-Barrier Drugs.
Stud Health Technol Inform
; 294: 872-873, 2022 May 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-35612231
15.
Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 280-283, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-36085917
16.
Classification of Dichotomous Emotional States Using Electrodermal Activity Signals and Multispectral Analysis.
Stud Health Technol Inform
; 294: 941-942, 2022 May 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-35612249
17.
Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features.
Stud Health Technol Inform
; 294: 943-944, 2022 May 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-35612250
18.
Automated Segmentation of Lateral Ventricles in Alzheimer's Conditions Using UNET++ Model.
Stud Health Technol Inform
; 295: 511-514, 2022 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35773923
19.
Human activity recognition from textile electrocardiograms.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 3434-3437, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-36086499
20.
FAIR4Health: Findable, Accessible, Interoperable and Reusable data to foster Health Research.
Open Res Eur
; 2: 34, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-37645268