Domenico Formica

TL;DR: An easy-to-use and unobtrusive smart textile which is able to detect chest wall excursions due to breathing and heart beating is proposed which is supported by the low mean absolute percentage error for fR and HR estimation.

TL;DR: A measuring system for contactless measurement of the respiratory pattern and the extraction of breath-by-breath respiratory rate that consists of a laptop’s built-in RGB camera and an algorithm for post-processing of acquired video data.

TL;DR: It is found that dynamic performance of the tracking is only slightly dependent on the sensor fusion algorithm and a major contribution to the error derives from the orientation of the rotation axis w.r.t. the gravity vector.

TL;DR: Results obtained by considering the output of single sensing elements and their sum were promising: the difference between the average respiratory frequency was always lower than 1% and 4% during quiet breathing and tachypnea, respectively and the proposed ST seems to be suitable for respiratory frequency monitoring in a wide range of values.

TL;DR: In this article, a smart textile based on fiber Bragg grating (FBG) sensors for respiratory monitoring is proposed for long-term observation of respiratory parameters, for patients monitoring during MR scan, and during sport activities in athletes.