Journal: PLoS Genetics

Article Title: Dissection of a Quantitative Trait Locus for PR Interval Duration Identifies Tnni3k as a Novel Modulator of Cardiac Conduction

doi: 10.1371/journal.pgen.1003113

Figure Lengend Snippet: (A) Congenic mice carrying the AKR/J green haplotype in a DBA/2J genetic background display the green haplotype PR interval duration. Overexpression of tagged hTNNI3k in a DBA/2J background significantly prolongs the PR interval. Colors show the haplotype of each strain at the Tnni3k locus, error bars indicate standard deviations. (B–D) Examples of ECG traces of DBA/2J (B), AKR.DBA. hrtfm2 congenic (C) and DBA/2J overexpressing h TNNI3K (D).

Article Snippet: A 3 minute ECG trace was analyzed for HR, and the signal average ECG (SAECG) calculated from each of leads I and II, aligned at QRS maximum, was analyzed for PR duration using the LabChart7Pro software (ADInstruments) and utilized for subsequent QTL mapping.

Techniques: Over Expression

Journal: PLoS Genetics

Article Title: Dissection of a Quantitative Trait Locus for PR Interval Duration Identifies Tnni3k as a Novel Modulator of Cardiac Conduction

doi: 10.1371/journal.pgen.1003113

Figure Lengend Snippet: Overview of the ECG results mean (st.err) in DBA/2J, DBA.AKR. hrtfm2 and transgenic hTnni3k mice.

Article Snippet: A 3 minute ECG trace was analyzed for HR, and the signal average ECG (SAECG) calculated from each of leads I and II, aligned at QRS maximum, was analyzed for PR duration using the LabChart7Pro software (ADInstruments) and utilized for subsequent QTL mapping.

Techniques: Transgenic Assay

Journal: Pacing and Clinical Electrophysiology

Article Title: Real‐world performance of the atrial fibrillation monitor in patients with a subcutaneous ICD

doi: 10.1111/pace.14010

Figure Lengend Snippet: Overview of the AFM algorithm development, simulated performance, and real‐world performance testing datasets

Article Snippet: The ECG waveforms were derived from either the Cameron Health ECG Signal Library or from spontaneously occurring S‐ICD episodes, both of which have been described in detail previously.

Techniques:

Journal: Materials Today Bio

Article Title: Emerging rapid detection methods for the monitoring of cardiovascular diseases: Current trends and future perspectives

doi: 10.1016/j.mtbio.2025.101663

Figure Lengend Snippet: Working mechanism of ECG electrodes and wearable sensors for ECG measurement (a) working principle of ECG electrodes. Reprinted from Ref. . Copyright 2021, Wiley. (b) PEDOT:PSS conductive polymer based flexible dry ECG electrode. Reprinted from Ref. . Copyright 2025, Elsevier. (c) conductive adhesive electrode by integrating PEDOT:PSS with PVA and d-sorbitol for the long term ECG recording with high SNR. Reprinted from Ref. . Copyright 2024, Wiley. (d) LM@SF-PAA hydrogel based flexible patch for the real-time and continuous monitoring of ECG signal. Reprinted from Ref. . Copyright 2025, Wiley.

Article Snippet: [ ] , Developed a preprocessing algorithm for PPG, demonstrating high accuracy in heart rate variability analysis. , Cardio diagnostics using PPG signals , Synchronous PPG and ECG signals , Statistical analysis.

Techniques: Polymer, Adhesive

Journal: Materials Today Bio

Article Title: Emerging rapid detection methods for the monitoring of cardiovascular diseases: Current trends and future perspectives

doi: 10.1016/j.mtbio.2025.101663

Figure Lengend Snippet: Summary of wearable ECG and PPG sensors for the monitoring of CVDs.

Article Snippet: [ ] , Developed a preprocessing algorithm for PPG, demonstrating high accuracy in heart rate variability analysis. , Cardio diagnostics using PPG signals , Synchronous PPG and ECG signals , Statistical analysis.

Techniques: Adhesive

Journal: Materials Today Bio

Article Title: Emerging rapid detection methods for the monitoring of cardiovascular diseases: Current trends and future perspectives

doi: 10.1016/j.mtbio.2025.101663

Figure Lengend Snippet: Signal processing techniques explored for the monitoring of CVDs.

Article Snippet: [ ] , Developed a preprocessing algorithm for PPG, demonstrating high accuracy in heart rate variability analysis. , Cardio diagnostics using PPG signals , Synchronous PPG and ECG signals , Statistical analysis.

Techniques: Biomarker Discovery, Extraction

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

Journal: Disease Models & Mechanisms

Article Title: Development and optimization of an in vivo electrocardiogram recording method and analysis program for adult zebrafish

doi: 10.1242/dmm.048827

Figure Lengend Snippet: Adult zebrafish ECG recording apparatus and protocol. (A) Comparison of human and zebrafish ECG. Top: ECG of a healthy 32-year-old human male, obtained from the MIT-BIH Normal Sinus Rhythm Database . Bottom: ECG from a 6-month-old adult male AB zebrafish, captured using the described recording apparatus and protocol. All cycles within the 60 s (human) and 120 s (zebrafish) recordings were overlaid (green traces), and an average trace was calculated (black trace) using the LabChart ‘ECG Analysis’ module. Traces are shown on the same time scale for direct comparison. (B) Adult zebrafish ECG apparatus; during recordings, the zebrafish is placed ventral side up within the mold located in a well on the base. For ease of reference, apparatus components and axes used to describe the movement of the components are labeled. (C) Summary of adult zebrafish ECG recording protocol. (D) Example from a 6-month-old adult male AB zebrafish using the described recording apparatus and protocol. The trace image was captured using LabChart ‘Zoom View’.

Article Snippet: The commercial PowerLab system integrates a data acquisition (PowerLab) hardware device, which digitizes the ECG signals with an ECG signal amplifier (Animal BioAmp), processing the acquired data through the associated LabChart software.

Techniques: Comparison, Labeling

Journal: Disease Models & Mechanisms

Article Title: Development and optimization of an in vivo electrocardiogram recording method and analysis program for adult zebrafish

doi: 10.1242/dmm.048827

Figure Lengend Snippet: Overview of zebrafish ECG reading GUI (zERG), a zebrafish ECG analysis software program. In step 1, ECG voltage measurements are imported into zERG. In step 2, data for peak analysis are selected. During peak analysis, P waves (red asterisks) and QRS complexes (black asterisks) are identified based on the following: (1) the user-defined wave amplitude threshold; (2) the minimum peak distance; and (3) classification based on the distance between the P peak to R wave of consecutive cycles and the reference distance defined as two times the first ‘P peak to R wave’ interval. Consecutive red or black peaks are marked yellow for error correction; the user can then manually add and/or delete P waves and/or QRS complexes. Once all waves are marked correctly, the user can proceed to step 3 by choosing the ‘Calculate Average Trace’ button. This plots an average trace and allows the user to click on ‘Add Markers’ to note wave markers on the average trace. Finally, after all peaks are confirmed, the user selects ‘Analyze ECGs’ to obtain a graphical user interface (GUI) table with the ECG metrics, in addition to an output .txt and several average trace plots. The yellow boxes show an example of a trace in which the P wave amplitude exceeds the R wave amplitude and how zERG handles such traces. The example trace in the blue boxes was captured from a 6-month-old AB wild-type male fish, and the trace in the yellow boxes was captured from a 3.5-month-old AB wild-type male fish after being dosed with 0.800 mmol/l FA for 15 min. All images were captured from zERG version 1.0.

Article Snippet: The commercial PowerLab system integrates a data acquisition (PowerLab) hardware device, which digitizes the ECG signals with an ECG signal amplifier (Animal BioAmp), processing the acquired data through the associated LabChart software.

Techniques: Software

Journal: Disease Models & Mechanisms

Article Title: Development and optimization of an in vivo electrocardiogram recording method and analysis program for adult zebrafish

doi: 10.1242/dmm.048827

Figure Lengend Snippet: Comparison of ECG metrics between zERG and LabChart. Measurements from a total of 55 traces from two independent experiments, either from 0.800 mmol/l FA drug studies ( n =14; referred to as FA) or from recording sessions in which 41 traces were captured from 11 AB fish over multiple timepoints (referred to as Timepoint), were used for comparison of zERG and LabChart performance. (A) Metrics obtained from zERG are nearly identical to those obtained from LabChart. (B) Comparison of heart rate between LabChart, zERG and a manual calculation. zERG heart rate calculations are nearly identical to those obtained from a manual calculation. bpm, beats/min.

Article Snippet: The commercial PowerLab system integrates a data acquisition (PowerLab) hardware device, which digitizes the ECG signals with an ECG signal amplifier (Animal BioAmp), processing the acquired data through the associated LabChart software.

Techniques: Comparison

Journal: Disease Models & Mechanisms

Article Title: Development and optimization of an in vivo electrocardiogram recording method and analysis program for adult zebrafish

doi: 10.1242/dmm.048827

Figure Lengend Snippet: Correlation of zebrafish ECG traits and covariates. Zebrafish ECG traits (heart rate and intervals) are correlated with each other and with body size parameters, sex and age. The correlation matrix is derived from measurements obtained from a total of 70 AB and wild-type fish from the kcnh6a s290 and kcnh6a tb218 lines. Positive correlations are colored in blue and negative correlations in red. The color intensity and size of the circles are proportional to the correlation (i.e. a correlation of 0.80 will have a larger and darker red circle than a correlation of 0.10).

Article Snippet: The commercial PowerLab system integrates a data acquisition (PowerLab) hardware device, which digitizes the ECG signals with an ECG signal amplifier (Animal BioAmp), processing the acquired data through the associated LabChart software.

Techniques: Derivative Assay

Journal: Disease Models & Mechanisms

Article Title: Development and optimization of an in vivo electrocardiogram recording method and analysis program for adult zebrafish

doi: 10.1242/dmm.048827

Figure Lengend Snippet: Delayed ventricular repolarization in kcnh6a s290 /+ mutants. kcnh6a s290 /+ (heterozygous) mutants displayed a longer QT interval than their kcnh6a +/+ (wild-type) clutchmates ( P =0.021). Measurements were obtained from a total of 54 fish. The P -values were determined from a linear mixed model, in which the date of the ECG recording session was added as a random effect and age, ECG recording location, sex and weight were added as fixed effects; QT interval was additionally adjusted for heart rate. The QT interval plot shows the measurement uncorrected for heart rate.

Article Snippet: The commercial PowerLab system integrates a data acquisition (PowerLab) hardware device, which digitizes the ECG signals with an ECG signal amplifier (Animal BioAmp), processing the acquired data through the associated LabChart software.

Techniques: