Journal: Journal of Arrhythmia

Article Title: Portable out‐of‐hospital electrocardiography: A review of current technologies

doi: 10.1002/joa3.12035

Figure Lengend Snippet: Single‐lead electrocardiography ( ECG ) devices

Article Snippet: 14 , Nuvant mobile cardiac telemetry , 3‐lead ECG device, Wireless patch Automatically detects and transmits ECG to external lab , Requires prolonged application by individuals to obtain true readings.

Techniques:

Journal: Journal of Arrhythmia

Article Title: Portable out‐of‐hospital electrocardiography: A review of current technologies

doi: 10.1002/joa3.12035

Figure Lengend Snippet: Multiple‐lead electrocardiography ( ECG ) devices

Article Snippet: 14 , Nuvant mobile cardiac telemetry , 3‐lead ECG device, Wireless patch Automatically detects and transmits ECG to external lab , Requires prolonged application by individuals to obtain true readings.

Techniques:

Journal: Journal of Arrhythmia

Article Title: Portable out‐of‐hospital electrocardiography: A review of current technologies

doi: 10.1002/joa3.12035

Figure Lengend Snippet: Summary of published evidence for single‐lead and multiple‐lead portable electrocardiography (ECG) devices

Article Snippet: 14 , Nuvant mobile cardiac telemetry , 3‐lead ECG device, Wireless patch Automatically detects and transmits ECG to external lab , Requires prolonged application by individuals to obtain true readings.

Techniques: Diagnostic Assay, Comparison, Blocking Assay

Journal: Journal of Arrhythmia

Article Title: Portable out‐of‐hospital electrocardiography: A review of current technologies

doi: 10.1002/joa3.12035

Figure Lengend Snippet: Pros and cons of all commercially available devices in this review

Article Snippet: 14 , Nuvant mobile cardiac telemetry , 3‐lead ECG device, Wireless patch Automatically detects and transmits ECG to external lab , Requires prolonged application by individuals to obtain true readings.

Techniques: Battery

Journal: Journal of Arrhythmia

Article Title: HRS/EHRA/APHRS/LAHRS/ACC/AHA worldwide practice update for telehealth and arrhythmia monitoring during and after a pandemic

doi: 10.1002/joa3.12389

Figure Lengend Snippet: Electrocardiogram (ECG) acquisition and transmission using a smartphone‐based portable ECG monitor

Article Snippet: , InfoBionic MoMe Kardia , Wired 3‐lead ECG , Yes , Yes , Remote lung auscultation , https://infobionic.com.

Techniques: Transmission Assay

Journal: Journal of Arrhythmia

Article Title: HRS/EHRA/APHRS/LAHRS/ACC/AHA worldwide practice update for telehealth and arrhythmia monitoring during and after a pandemic

doi: 10.1002/joa3.12389

Figure Lengend Snippet:

Article Snippet: , InfoBionic MoMe Kardia , Wired 3‐lead ECG , Yes , Yes , Remote lung auscultation , https://infobionic.com.

Techniques: Clinical Proteomics

Journal: IEEE sensors journal

Article Title: Fusing Near-Infrared Spectroscopy with Wearable Hemodynamic Measurements Improves Classification of Mental Stress

doi: 10.1109/jsen.2018.2872651

Figure Lengend Snippet: a) Illustration of the sensing modalities attached to each subject: headband PPG, NIRS, ECG, SCG signals were collected throughout the mental stress protocol. b) Block-diagrams of each sensing modality. The headband includes PPG and NIRS parts. c) Block diagram of signal processing and feature extraction. d) Summary of peripherally-measured cardiovascular parameters. HR, R-Ao (PEP), PTT, PAT, PPG amplitude were extracted from the peripherally-measured cardiovascular sensing part.

Article Snippet: For ECG data collection, a commercially available wireless 3-lead ECG amplifier was used (RSPEC-R, Biopac Systems, Goleta, CA).

Techniques: Blocking Assay, Extraction

Journal: Sensors (Basel, Switzerland)

Article Title: Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations

doi: 10.3390/s24030901

Figure Lengend Snippet: ( a ) LittleBeats™ device case, ( b ) LittleBeats™ supplies including ECG leads, electrodes, charger, and shirt, and ( c ) infant wearing LittleBeats™ in the home. This figure has been previously published under the Creative Commons Attribution License.

Article Snippet: We recruited an adult sample (Study 1) and an infant sample (Study 2) to assess the performance of the LittleBeatsTM 3-lead ECG sensor against the BIOPAC MP160 system (BIOPAC Systems, Inc., Camino Goleta, CA, USA), a gold-standard wireless system for measuring ECG in laboratory studies and one that has been used in similar validation studies [ , , ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations

doi: 10.3390/s24030901

Figure Lengend Snippet: Block diagram of the LittleBeats™ device, including the data-reading protocols. LiPo = lithium polymer, exFAT = extensible file allocation table, ADC = analog-to-digital converter, SPI = serial peripheral interface, ECG = electrocardiogram, MEMS = micro-electromechanical system, IMU = inertial measurement unit.

Article Snippet: We recruited an adult sample (Study 1) and an infant sample (Study 2) to assess the performance of the LittleBeatsTM 3-lead ECG sensor against the BIOPAC MP160 system (BIOPAC Systems, Inc., Camino Goleta, CA, USA), a gold-standard wireless system for measuring ECG in laboratory studies and one that has been used in similar validation studies [ , , ].

Techniques: Blocking Assay, Polymer

Journal: Sensors (Basel, Switzerland)

Article Title: Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations

doi: 10.3390/s24030901

Figure Lengend Snippet: Bland–Altman plots comparing interbeat intervals (IBI) extracted from LittleBeats™ and BIOPAC ECG signals for four laboratory tasks completed by adult participants ( N = 16, Study 1). Each color-shaped symbol represents IBI data from a specific participant. ms = milliseconds.

Article Snippet: We recruited an adult sample (Study 1) and an infant sample (Study 2) to assess the performance of the LittleBeatsTM 3-lead ECG sensor against the BIOPAC MP160 system (BIOPAC Systems, Inc., Camino Goleta, CA, USA), a gold-standard wireless system for measuring ECG in laboratory studies and one that has been used in similar validation studies [ , , ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations

doi: 10.3390/s24030901

Figure Lengend Snippet: Bland–Altman plots comparing interbeat intervals extracted from LittleBeats™ and BIOPAC ECG signals for the baseline session and episodes of the Still Face Procedure (SFP) for infant participants ( N = 5, Study 2). Each color represents the IBI data from a specific participant. ms = milliseconds.

Article Snippet: We recruited an adult sample (Study 1) and an infant sample (Study 2) to assess the performance of the LittleBeatsTM 3-lead ECG sensor against the BIOPAC MP160 system (BIOPAC Systems, Inc., Camino Goleta, CA, USA), a gold-standard wireless system for measuring ECG in laboratory studies and one that has been used in similar validation studies [ , , ].

Techniques:

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: