A controlled four-LLM analyst pipeline over 68 commercial-compatible physiological corpora produced 94 build-now detector components after deduplication, threshold audit, and native-channel/no-personalization gates.
The impact of the mit-bih arrhythmia database
7 Pith papers cite this work, alongside 4,645 external citations. Polarity classification is still indexing.
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4,645
external citations · OpenAlex
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Introduces a topological regularization framework for NMF that uses persistent homology to enforce desired structures in basis functions within a unified optimization objective.
A survey of on-device learning in TinyML organized by distribution change regimes, highlighting influences on applications, hardware, and solutions plus a gap between benchmarks and deployments.
Spike encoders are reformulated as time-causal bandpass wavelets that preserve sparsity and locality while providing reconstruction error bounds comparable to continuous wavelet transforms on ECG and audio signals.
Nonlinear dimensionality reduction on ECG signals enables unsupervised personalized arrhythmia detection with high accuracy on 2D embeddings using standard algorithms on the MIT-BIH database.
CRAFTIIF uses 500 random analytic wavelet features across four families and five structured isolation forests to target four anomaly types, achieving first place on mTSBench VUS-PR at 0.463.
A review synthesizes evidence from EEG, EMG, ECG, PPG and ocular signals to argue that waveform morphology, rather than modality or model class, primarily determines TSC performance and interpretability.
citing papers explorer
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A Multi-Analyst LLM Pipeline for Auditable Rule Discovery Across 68 Public Physiological Corpora
A controlled four-LLM analyst pipeline over 68 commercial-compatible physiological corpora produced 94 build-now detector components after deduplication, threshold audit, and native-channel/no-personalization gates.
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Non-negative Matrix Factorisation with Topological Regularisation
Introduces a topological regularization framework for NMF that uses persistent homology to enforce desired structures in basis functions within a unified optimization objective.
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What changes after deployment? A survey on On-device Learning in TinyML
A survey of on-device learning in TinyML organized by distribution change regimes, highlighting influences on applications, hardware, and solutions plus a gap between benchmarks and deployments.
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Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
Spike encoders are reformulated as time-causal bandpass wavelets that preserve sparsity and locality while providing reconstruction error bounds comparable to continuous wavelet transforms on ECG and audio signals.
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Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias
Nonlinear dimensionality reduction on ECG signals enables unsupervised personalized arrhythmia detection with high accuracy on 2D embeddings using standard algorithms on the MIT-BIH database.
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CRAFTIIF: Cross-Resolution Analytic Four-Type Interpretable Isolation Forest for Multivariate Time Series Anomaly Detection
CRAFTIIF uses 500 random analytic wavelet features across four families and five structured isolation forests to target four anomaly types, achieving first place on mTSBench VUS-PR at 0.463.
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Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals
A review synthesizes evidence from EEG, EMG, ECG, PPG and ocular signals to argue that waveform morphology, rather than modality or model class, primarily determines TSC performance and interpretability.