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Effects of sensor geometry, placement, and cycle detection on wearable respiration monitoring with textile printed strain sensors. 传感器几何、位置和周期检测对纺织印刷应变传感器可穿戴呼吸监测的影响。

Discover sensors Pub Date : 2026-01-01 Epub Date: 2026-03-27 DOI: 10.1007/s44397-026-00054-0

Manuel Reis Carneiro, João Silva, Mahmoud Tavakoli

{"title":"Effects of sensor geometry, placement, and cycle detection on wearable respiration monitoring with textile printed strain sensors.","authors":"Manuel Reis Carneiro, João Silva, Mahmoud Tavakoli","doi":"10.1007/s44397-026-00054-0","DOIUrl":"10.1007/s44397-026-00054-0","url":null,"abstract":"Wearable respiration monitors often struggle with motion artifacts and variable skin-sensor coupling. We present an elastic chest belt with digitally printed piezoresistive strain gauges and a multi-channel bridge front-end, and we evaluate how sensor geometry, placement, and simple respiration cycle detectors affect minute-scale respiration-rate (RR) accuracy. Three printed sensor layouts (circular and serpentine/\"linear\") were placed at three thoracic locations (left, center, right); for the serpentine layout, we also tested horizontal vs. vertical orientations. RR from (i) a time-domain peaks-and-valleys (PV) detector and (ii) a power spectral density (PSD) method were compared to a thermistor reference across 4-min trials in healthy volunteers (n = 3), analyzed per minute. PV achieved a larger share of minutes within ± 2 RPM than PSD (≈ 70% vs. ≈37%) and within ± 1 RPM (≈ 44% vs. ≈33%). Geometry and placement mattered: a vertical serpentine on the lateral thorax showed the highest minute-level agreement within this pilot cohort and under quiet-breathing conditions (left-lateral vertical: 100% of minutes within ± 2 RPM; right-lateral vertical/horizontal: 91.7%), while circular sensors showed their highest accuracy on the left thorax (83.3% within ± 2 RPM). These pilot findings suggest preliminary design guidance for e-textile RR monitors and indicate that PV detection may be a practical option for minute-scale RR estimation under the tested conditions.Supplementary information: The online version contains supplementary material available at 10.1007/s44397-026-00054-0.","PeriodicalId":521117,"journal":{"name":"Discover sensors","volume":"2 1","pages":"22"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13021712/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147577463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unlocking the synergistic potential of sensor technologies in grassland research. 释放传感器技术在草地研究中的协同潜力。

Discover sensors Pub Date : 2025-01-01 Epub Date: 2025-11-17 DOI: 10.1007/s44397-025-00020-2

Keiji Jindo, Jouke Oenema, Yuta Miyoshi, Fedde Sijbrandij, Bernardo Maestrini, Idse Hoving, Hitoshi Nishikawa, Corne Kempenaar

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引用次数: 0