Jesús LázaroRaquel BailónEduardo GilYeonsik NohPablo LagunaKi H. Chon
A pilot study on deriving respiratory rate from electrocardiogram (ECG) signals recorded by a self-developed wearable armband is presented.The armband includes a pair of dry electrodes which record ECG and it is designed for long-term monitoring.Armband-ECG and plethysmography-respiration signals were simultaneously recorded from 5 subjects (3 male) while paced breathing at constant rates from 0.1 to 0.4 Hz (with an increment of 0.1 Hz).Respiratory rate was estimated from the armband-ECG by using a method based on the variations in QRS slopes and R-wave angle.The estimations were compared to those obtained from the respiration signal.Obtained median and interquartile ranges of the relative error were lower than 4% for every requested respiratory rate.This suggests that normal ranges of spontaneous respiratory rate could be estimated from the wearable armband, allowing us to consider it for long-term wearable cardio and/or respiratory monitoring.
Jesús LázaroNataša ReljinRaquel BailónEduardo GilYeonsik NohPablo LagunaKi H. Chon
Nicholas HuangMenglian ZhouDayi BianPooja MehtaMilan ShahKuldeep Singh RajputNandakumar Selvaraj
Jesús LázaroNataša ReljinMd-Billal HossainYeonsik NohPablo LagunaKi H. Chon
Jesús LázaroNataša ReljinYeonsik NohPablo LagunaKi H. Chon
Jesús LázaroNataša ReljinYeonsik NohPablo LagunaKi H. Chon