Technology overview

Cardiac rhythm & ECG

Visual Heart.

Rhythm made visible.
A new perspective on the ECG.

Visual Patient Heart uses a heart representation to visualize rhythm and ST-segment information. The research explores how these visual patterns can support understanding of cardiac states alongside conventional ECG displays.

Visual Patient Heart research figure comparing heart visualizations and ECG patterns across five cardiac states
Hunn et al., Research Square preprint (2026), Figure 1. CC BY 4.0. Extracted figure oriented upright; overview thumbnail shows a detail.

The research prototype

How Visual Heart works.

Explore the visual language of cardiac rhythm, with the conventional ECG as its reference.

What you see

An animated heart uses visual patterns to represent rhythm and ST-segment changes. The research prototype is designed to support interpretation alongside conventional ECG displays. The training video introduces the visualizations used in the research.

What has been studied

A published qualitative study explores clinicians’ experiences after simulated ECG scenarios. A separate quantitative study is available as a preprint. The studies address recognition and interpretation in simulation, with further evaluation needed in clinical settings.

Explore & Simulate

See what changes.
Try it yourself.

Explore 21 ECG examples alongside the animated heart. Compare the original ECGs with their redrawn traces.

21 ECG examplesOriginal & redrawn ECGs
Open Visual Patient Heart simulator

These interactive simulators are simplified research and teaching models using simulated example data. They are intended for education and demonstration, not for use in patient care or clinical decision-making.

See it in action

The idea in motion.

Teaching videos, demonstrations and perspectives from the research.

Training

Publications from our group

Visual Heart
research.

2 publications and research documents coauthored by David W. Tscholl. Journal articles, protocols and preprints are identified individually.

2026

BMC Medical Informatics and Decision Making · Qualitative multicentre study · Journal article · Original research

Anaesthesia professionals’ perspectives on ECG interpretation and arrhythmia situation awareness with Visual Patient Heart: a qualitative multicentre study

Max Ebensperger, Cynthia A. Hunn, Tadzio R. Roche, Arend Rahrisch, Achilles Delis, Florian Piekarski, Florian J. Raimann, Sayeh Bagheri, Svenja Letz, Gregor Massoth, Kai Zacharowski, David W. Tscholl

Qualitative follow-up in an overlapping study context; journal and earlier preprint count as one work.

Supplementary material 3 files
Preprint

Research Square · Quantitative multicentre simulation

Using Visual Patient Heart to improve anaesthesia professionals’ ECG Interpretation and Arrhythmia Situation Awareness: A Quantitative Study

Cynthia Alexandra Hunn, Max Ebensperger, Tadzio Raoul Roche, Arend Rahrisch, Achilles Delis, Florian Piekarski, Florian J. Raimann, Julia Braun, Sayeh Bagheri, Svenja Letz, Gregor Massoth, Kai Zacharowski, David W. Tscholl

Preprint; primary page marked Under Review. No journal version verified in the source review.

Supplementary material 1 file

Explore the evidence.

Original papers and supplementary files retain their source attribution. Earlier versions of the same work are grouped with the publication.

Explore Research