%0 Journal Article %A M John %A R Garcia Van Der Westen %A G Yordanova %A W Groenendaal %A C Agell %A M John %T Validation of a novel wearable monitoring patch for continuous respiratory monitoring %D 2022 %R 10.1183/13993003.congress-2022.4391 %J European Respiratory Journal %P 4391 %V 60 %N suppl 66 %X In contrast to cardiovascular diseases monitoring, where wearable technologies (Holter, Telemetry) and form factors (lead-based, patches) are used in clinical practice, similarly validated tools in the respiratory domain are lacking (H. Khundaqji. PeerJ 9 2021:e12598).Physiopatch is a novel wearable sensor platform intended to support caregivers in monitoring respiratory diseases by continuously acquiring respiratory parameters. It records the respiratory signal using bioimpedance.This work investigated if the respiratory signal from Physiopatch can be used to estimate respiratory parameters. For this, respiration from the Physiopatch was recorded together with a respiratory belt signal from 10 healthy subjects, who were sitting while breathing at different respiratory rates (RR) (6, 10, 12 and 15 breaths per minute (BPM)). Respiratory parameters were estimated, namely, RR, expiratory time (te), inspiratory time (ti), total respiratory time (tt) and duty cycle (DC). These were derived with both signal modalities and compared using the mean difference in Bland Altman (BAd) plots and mean absolute percentage errors (MAPE).RR and tt displayed the lowest errors (RR: BAd=0.27±0.47 BPM, MAPE=4.12%; tt: BAd=38±80 ms, MAPE=0.91%). Moreover, te, ti and DC had higher errors but comparable to literature (te: BAd=34±640 ms, MAPE=11.93%; ti:BAd=24±612 ms, MAPE=13.15%; DC:BAd=1.25±8.34%, MAPE=13.02%).These results suggest that respiratory parameters can be derived from the Physiopatch, showing its potential to perform continuous respiratory monitoring. Following trials will focus on activities other than resting and in patient populations.Project funded from: EU-Horizon 2020. Grant # 101017315 (Digipredict).FootnotesCite this article as Eur Respir J 2022; 60: Suppl. 66, 4391.This article was presented at the 2022 ERS International Congress, in session “-”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only). %U