ECG Viewer Online

Online ECG viewer analyzes waveform data to estimate heart rate and extract key waveform metrics for clinicians and researchers.

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About This Tool

The ECG Viewer Online provides a non-diagnostic platform to visualize ECG waveforms and derive quantitative metrics from signal data. It accepts raw ECG samples or pasted data along with sampling rate and optional lead label.
Conceptually, it preprocesses the signal, detects R-peaks, computes RR intervals, and derives heart rate, QRS duration, beat count, and a quality score. It supports single-lead and multi-lead inputs and can export results for further study.
Who benefits: clinicians validating recordings, researchers evaluating signal processing methods, telemedicine apps validating data quality. Unique value: robust, lightweight, no dependency on specialized software, supports standard SI units, and exports in CSV/JSON formats for integration into workflows.
Core features and use cases cover input handling, peak detection, metric calculations, artifact checks, and data export.

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How to Use

Provide inputs: ecg_data (array of mV) and sampling_rate_hz (Hz); optional lead_name and time_range_sec.
Choose preprocessing options if available (lead selection, time window).
Run calculation to generate heart_rate_bpm, rr_intervals_ms, qrs_duration_ms, and quality metrics.
Review results on the output card and waveform preview.
Export as CSV or JSON if needed.

Frequently Asked Questions

Find Quick Answers

What input formats are supported?

The tool accepts raw ECG samples as numeric arrays in JSON-like format or CSV with a single lead. Pasted data should be numeric and non-empty, with a corresponding sampling rate.

Can it output exportable results?

Yes. Results can be exported as JSON or CSV, including heart_rate_bpm, rr_intervals_ms, qrs_duration_ms, beat_count, and signal_quality, along with input metadata.

Is this tool a medical device?

No. It provides quantitative ECG metrics to support review and research. It does not diagnose conditions or replace clinical judgment.

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