000089888 001__ 89888 000089888 005__ 20220405150421.0 000089888 0247_ $$2doi$$a10.1109/TBME.2020.2987759 000089888 0248_ $$2sideral$$a117124 000089888 037__ $$aART-2020-117124 000089888 041__ $$aeng 000089888 100__ $$0(orcid)0000-0001-8742-0072$$aLázaro, Jesús$$uUniversidad de Zaragoza 000089888 245__ $$aWearable armband device for daily life electrocardiogram monitoring 000089888 260__ $$c2020 000089888 5060_ $$aAccess copy available to the general public$$fUnrestricted 000089888 5203_ $$aA wearable armband electrocardiogram (ECG) monitor has been used for daily life monitoring. The armband records three ECG channels, one electromyogram (EMG) channel, and tri-axial accelerometer signals. Contrary to conventional Holter monitors, the armband-based ECG device is convenient for long-term daily life monitoring because it uses no obstructive leads and has dry electrodes (no hydrogels), which do not cause skin irritation even after a few days. Principal component analysis (PCA) and normalized least mean squares (NLMS) adaptive filtering were used to reduce the EMG noise from the ECG channels. An artifact detector and an optimal channel selector were developed based on a support vector machine (SVM) classifier with a radial basis function (RBF) kernel using features that are related to the ECG signal quality. Mean HR was estimated from the 24-hour armband recordings from 16 volunteers in segments of 10 seconds each. In addition, four classical HR variability (HRV) parameters (SDNN, RMSSD, and powers at low and high frequency bands) were computed. For comparison purposes, the same parameters were estimated also for data from a commercial Holter monitor. The armband provided usable data (difference less than 10% from Holter-estimated mean HR) during 75.25%/11.02% (inter-subject median/interquartile range) of segments when the user was not in bed, and during 98.49%/0.79% of the bed segments. The automatic artifact detector found 53.85%/17.09% of the data to be usable during the non-bed time, and 95.00%/2.35% to be usable during the time in bed. The HRV analysis obtained a relative error with respect to the Holter data not higher than 1.37% (inter-subject median/interquartile range). Although further studies have to be conducted for specific applications, results suggest that the armband device has a good potential for daily life HR monitoring, especially for applications such as arrhythmia or seizure detection, stress assessment, or sleep studies. 000089888 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T96$$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON 000089888 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000089888 590__ $$a4.538$$b2020 000089888 591__ $$aENGINEERING, BIOMEDICAL$$b24 / 90 = 0.267$$c2020$$dQ2$$eT1 000089888 592__ $$a1.147$$b2020 000089888 593__ $$aBiomedical Engineering$$c2020$$dQ1 000089888 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000089888 700__ $$aReljin, Natasa 000089888 700__ $$aHossain, Md-Billal 000089888 700__ $$aNoh, Yeonsik 000089888 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza 000089888 700__ $$aChon, Ki H. 000089888 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát. 000089888 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac. 000089888 773__ $$g67, 12 (2020), 3464 - 3473$$pIEEE trans. biomed. eng.$$tIEEE Transactions on Biomedical Engineering$$x0018-9294 000089888 8564_ $$s689661$$uhttps://zaguan.unizar.es/record/89888/files/texto_completo.pdf$$yPostprint 000089888 8564_ $$s686321$$uhttps://zaguan.unizar.es/record/89888/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000089888 909CO $$ooai:zaguan.unizar.es:89888$$particulos$$pdriver 000089888 951__ $$a2022-04-05-14:40:13 000089888 980__ $$aARTICLE