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: 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

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: Dimensionality reduction and classification outcomes for separating the stimulus types: active tcVNS and sham. (a) Dimensionality reduction applied to the high-dimensional feature matrix using t-SNE constructed from features from ECG and PPG. (b) Number of Top features selected using ANOVA F-score-based feature selection versus receiver operator characteristics (ROC) area under curve (AUC). ROC AUC is robust to Top Features from 70 to 88. c) Confusion matrix for the classifier, obtained with LOSO-CV and minimum number of features (71). (d) Receiver operator characteristics (ROC) for the classifier. A ROC area under curve (AUC) of 0.96 was obtained. Classification outcomes vary minorly with Top Features from 70 to 88.

Article Snippet: 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

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: Top 5 features sorted by ANOVA F-values and their boxplots grouped by sham and active tcVNS classes. The top features were calculated from the full feature set obtained from ECG and PPG sensors.

Article Snippet: 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:

Journal: ... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics

Article Title: Transcutaneous Cervical Vagus Nerve Stimulation Lengthens Exhalation in the Context of Traumatic Stress

doi: 10.1109/bhi50953.2021.9508534

Figure Lengend Snippet: Transcutaneous cervical vagus nerve stimulation (tcVNS) targets the vagus nerve non-invasively with electrical stimulation; the putative mechanism of action for resultant cardiorespiratory variations involves tcVNS-induced afferent signaling, followed by efferent modulation. (Right) In this double-blind, sham-controlled study, stimulation is delivered to the left side of the neck, targeting the cervical projection of the vagus nerve. The electrocardiogram (ECG) and respiratory effort (RSP) are sensed at the locations depicted.

Article Snippet: B. Physiological Sensing Respiratory effort (RSP) and electrocardiogram (ECG) signals were measured at the locations shown in (right) from subjects in a supine position using the Biopac RSPEC-R (Biopac Systems, Goleta, CA, USA).

Techniques:

Journal: ... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics

Article Title: Transcutaneous Cervical Vagus Nerve Stimulation Lengthens Exhalation in the Context of Traumatic Stress

doi: 10.1109/bhi50953.2021.9508534

Figure Lengend Snippet: High-Level signal processing and feature extraction block diagram. Two electrocardiogram (ECG)-derived respiration signals were fused with the respiration belt (RSP) signal for robust respiration time interval (e.g., exhalation time) estimation.

Article Snippet: B. Physiological Sensing Respiratory effort (RSP) and electrocardiogram (ECG) signals were measured at the locations shown in (right) from subjects in a supine position using the Biopac RSPEC-R (Biopac Systems, Goleta, CA, USA).

Techniques: Extraction, Blocking Assay, Derivative Assay

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Schematic diagram of proposed context-aware electrocardiogram (ECG) monitoring system.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Screenshot of smartphone ( a ) abnormal ECG signal; ( b ) the brief report.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: ( a ) The micro photograph; ( b ) Experiment of proposed AFE in ECG Acquisition device.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Photograph of proposed ECG Acquisition device.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: ECG acquisition sensor hardware validation procedure.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques: Biomarker Discovery

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Performance summary of the ECG sensor hardware.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques: Sampling

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Power consumption of the proposed ECG acquisition device.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques: Battery

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Performance comparison between our system and other recent similar works.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques: Comparison, Battery

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Average signal cross correlation between ECG generator device and the proposed sensor.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Average QRS amplitude ratio between ECG generator device and the proposed sensor.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: The experiment of ECG Acquisition system with physical activity recognition on a treadmill.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques: Activity Assay

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Statistical analysis on the performance of proposed context-aware ECG system.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

doi: 10.3390/s150511465

Figure Lengend Snippet: Discrimination ability comparison between the proposed context-aware ECG system and single ECG sensor. TP: true positive, FN: false negative, TN: true negative, FP: false positive.

Article Snippet: We compared the acquired ECG signals between the BIOPAC and the proposed sensor in terms of QRS detection error, QRS amplitude ratio, QRS cross correlation and QRS detection delay, which were defined in [ ].

Techniques: Comparison