Journal: IEEE journal of biomedical and health informatics
Article Title: Automatic Detection of Target Engagement in Transcutaneous Cervical Vagal Nerve Stimulation for Traumatic Stress Triggers
doi: 10.1109/JBHI.2020.2981116
Figure Lengend Snippet: (a) ECG, PPG, SCG, RSP signals were processed and HR, PAT, PEP, PPG amplitude, RR, RW, RP were extracted as physiological parameters. (b) Using the extracted parameters, dataset constructed after normalization, resampling, and windowing. (c) After standardization, dimensionality reduction methods were applied for dataset visualization. Then, feature selection and machine learning were conducted. PATF: PATFOOT; PATP: PATPEAK; AO: Aortic opening; PPGA: PPG amplitude.
Article Snippet: D emographics and B aseline P hysiological P arameters C. Physiological Monitoring ECG, SCG, PPG, RSP signals were collected continuously throughout the protocol using wireless amplifiers for 3-lead ECG, RSP, and transmissive PPG signals (Bionomadix RSPEC-R and PPGED-R, Biopac Systems, Goleta, CA).
Techniques: Construct, Selection