Research on a Lightweight Arrhythmia Classification Model Based on Knowledge Distillation for Wearable Single-Lead ECG Monitoring Systems

Xiang An, Shiwen Shi, Qian Wang, Yansuo Yu, Qiang Liu, Steve Ling · 2024

Read Research on a Lightweight Arrhythmia Classification Model Based on Knowledge Distillation for Wearable Single-Lead ECG Monitoring Systems by Xiang An, Shiwen Shi, Qian Wang, Yansuo Yu, Qiang Liu, Steve Ling (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11679805.txt.

Description

Xiang An and colleagues built a tiny heart-rhythm classifier that can run on a wearable device with a single chest lead. Full hospital systems read many leads with big models that small gadgets cannot carry. The team used a teaching trick: a large model trained a small one to copy its skill.

The small model scored over ninety-six percent accuracy, near its teacher, while shrinking to a sliver of the size. It beat other small models in their tests. The team then built a working wearable monitor around cheap chips. It sorts rhythms live, a step toward round-the-clock heart checks outside hospitals.

Catalog record

CREATORXiang An, Shiwen Shi, Qian Wang, Yansuo Yu, Qiang Liu, Steve Ling
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE52 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11679805

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