Heart Artifact Removal in Electrohysterography Measurements Using Algebraic Differentiators
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866917353294397440 |
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| author | Othmane, Amine Vivas, Maria Camila Bustos Steuer, Johannes Hutter, Jana |
| author_facet | Othmane, Amine Vivas, Maria Camila Bustos Steuer, Johannes Hutter, Jana |
| contents | Electrohysterography (EHG) enables non-invasive monitoring of uterine contractions but can be contaminated by electrocardiogram (ECG) artifacts. This work presents an ECG removal method using algebraic differentiators, a control-theoretic tool for model-free derivative estimation, that preserves signal shape outside the detected cardiac pulse locations. The differentiator parameters are designed to simultaneously suppress slow physiological artifacts and powerline interference while maximizing output signal-to-noise ratio. Cross-channel clustering distinguishes cardiac pulses from localized artifacts, enabling accurate pulse subtraction without auxiliary ECG references. Implemented as a causal FIR filter, the method is validated on multichannel EHG recordings from female and male subjects and compared to the template subtraction method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_18949 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Heart Artifact Removal in Electrohysterography Measurements Using Algebraic Differentiators Othmane, Amine Vivas, Maria Camila Bustos Steuer, Johannes Hutter, Jana Systems and Control Electrohysterography (EHG) enables non-invasive monitoring of uterine contractions but can be contaminated by electrocardiogram (ECG) artifacts. This work presents an ECG removal method using algebraic differentiators, a control-theoretic tool for model-free derivative estimation, that preserves signal shape outside the detected cardiac pulse locations. The differentiator parameters are designed to simultaneously suppress slow physiological artifacts and powerline interference while maximizing output signal-to-noise ratio. Cross-channel clustering distinguishes cardiac pulses from localized artifacts, enabling accurate pulse subtraction without auxiliary ECG references. Implemented as a causal FIR filter, the method is validated on multichannel EHG recordings from female and male subjects and compared to the template subtraction method. |
| title | Heart Artifact Removal in Electrohysterography Measurements Using Algebraic Differentiators |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2603.18949 |