89912 20220426091133.0 doi 10.1109/TBME.2020.3004730 sideral 118377 ART-2020-118377 eng Lázaro, Jesús Universidad de Zaragoza (orcid)0000-0003-1272-0550 Electrocardiogram derived respiratory rate using a wearable armband 2020 Access copy available to the general public Unrestricted A method for deriving respiratory rate from an armband, which records three-channel electrocardiogram (ECG) using three pairs of dry (no hydrogel) electrodes, is presented. The armband device is especially convenient for long-term (months-years) monitoring because it does not use obstructive leads nor hydrogels/adhesives, which cause skin irritation even after few days. An ECG-derived respiration (EDR) based on respiration-related modulation of QRS slopes and R-wave angle approach was used. Moreover, we modified the EDR algorithm to lower the computational cost. Respiratory rates were estimated with the armband-ECG and the reference plethysmography-based respiration signals from 15 subjects who underwent breathing experiment consisting of five stages of controlled breathing (at 0.1, 0.2, 0.3, 0.4, and 0.5 Hz) and one stage of spontaneous breathing. The respiratory rates from the armband obtained a relative error with respect to the reference (respiratory rate estimated from the plethysmography-based respiration signal) that was not higher than 2.26% in median nor interquartile range (IQR) for all stages of fixed and spontaneous breathing, and not higher than 3.57% in median nor IQR in the case when the low computational cost algorithm was applied. These results demonstrate that respiration-related modulation of the ECG morphology are also present in the armband ECG device. Furthermore, these results suggest that respiration-related modulation can be exploited by the EDR method based on QRS slopes and R-wave angles to obtain respiratory rate, which may have a wide range of applications including monitoring patients with chronic respiratory diseases, epileptic seizures detection, stress assessment, and sleep studies, among others. info:eu-repo/grantAgreement/ES/DGA-FSE/T96-BSICoS info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 4.538 2020 ENGINEERING, BIOMEDICAL 24 / 90 = 0.267 2020 Q2 T1 1.147 2020 Biomedical Engineering 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Reljin, Natasa Bailón, Raquel Universidad de Zaragoza (orcid)0000-0003-3434-9254 Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-7285-0715 Noh, Yeonsik Laguna, Pablo Universidad de Zaragoza (orcid)0000-0001-8742-0072 Chon, Ki H. 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 68, 3 (2020), 1056 - 1065 IEEE trans. biomed. eng. IEEE Transactions on Biomedical Engineering 0018-9294 2075397 http://zaguan.unizar.es/record/89912/files/texto_completo.pdf Postprint 683220 http://zaguan.unizar.es/record/89912/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:89912 articulos driver 2022-04-26-08:52:17 ARTICLE