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arXiv Computation and Language By Shovito Barua Soumma, Asiful Arefeen, Hassan Ghasemzadeh

ARTA: Graph Combinatorial Optimization for Robust Interbeat Interval Estimation from Wearable Electrocardiogram Signals

Read the original on arXiv Computation and Language →

ARTA is a graph‑based combinatorial framework that improves interbeat interval estimation from wearable ECG by integrating candidates from multiple detectors into a directed acyclic graph. It uses detector agreement, ECG quality, and history‑dependent transition costs to select a coherent heartbeat sequence via beam‑search dynamic programming, effectively suppressing false detections and recovering missed beats. On benchmark datasets, ARTA reduces heart‑rate mean absolute error by 54% compared to the best single detector and achieves high accuracy in R‑peak detection and IBI estimation while remaining lightweight and training‑free.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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