Szczegóły publikacji
Opis bibliograficzny
Offset compensation in resistive stretch sensors using low-frequency feedback topology / Jakub DRZAZGA, Bogusław CYGANEK // Electronics [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2079-9292. — 2022 — vol. 11 iss. 19 art. no. 3158, s. 1-15. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 13-15, Abstr. — Publikacja dostępna online od: 2022-10-01
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 142848 |
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Data dodania do BaDAP | 2022-10-13 |
Tekst źródłowy | URL |
DOI | 10.3390/electronics11193158 |
Rok publikacji | 2022 |
Typ publikacji | artykuł w czasopiśmie |
Otwarty dostęp | |
Creative Commons | |
Czasopismo/seria | Electronics |
Abstract
Respiration monitoring systems play an important role in healthcare and fitness. For this purpose, resistive stretch sensors are frequently used, which are cheap and simple in operation. However, they are not free from drawbacks. Varying offset due to patient movement, low signal amplitude, as well as susceptibility to interference, can all pose serious challenges. In this paper, a novel signal conditioning circuit for a resistive respiration sensor is proposed that alleviates some of the above problems. Namely, the proposed low-frequency feedback topology improves the dynamic range by offset compensation, sustaining a high signal amplification. Further advantages of the new configuration are the phase shift of 0.5 degrees in the band of interest and higher gain for the respiration signal than for the offset. The topology was proved to correctly represent signal amplitude changes, as well as to be able to sample human respiration in the home environment. However, the circuit shows some nonlinear behavior around resistance discontinuity points–settling time after body position change of the patient, which can be as long as 40 s. The circuit was tested both in bench tests and in the prototype of a respiratory polygraphy device during actual sleep apnea examinations. The results indicate that resistive stretch sensors, along with low-frequency feedback topology, are a promising development path for future respiration monitoring devices.