Vignali, E.; Gasparotti, E.; Miglior, L.; Gervasi, V.; Simone, L.; Haxhiademi, D.; Frediani, L.; Borelli, G.; Berti, S.; Celi, S. A New Smartphone-Based Method for Remote Health Monitoring: Assessment of Respiratory Kinematics. Electronics2024, 13, 1132.
Vignali, E.; Gasparotti, E.; Miglior, L.; Gervasi, V.; Simone, L.; Haxhiademi, D.; Frediani, L.; Borelli, G.; Berti, S.; Celi, S. A New Smartphone-Based Method for Remote Health Monitoring: Assessment of Respiratory Kinematics. Electronics 2024, 13, 1132.
Vignali, E.; Gasparotti, E.; Miglior, L.; Gervasi, V.; Simone, L.; Haxhiademi, D.; Frediani, L.; Borelli, G.; Berti, S.; Celi, S. A New Smartphone-Based Method for Remote Health Monitoring: Assessment of Respiratory Kinematics. Electronics2024, 13, 1132.
Vignali, E.; Gasparotti, E.; Miglior, L.; Gervasi, V.; Simone, L.; Haxhiademi, D.; Frediani, L.; Borelli, G.; Berti, S.; Celi, S. A New Smartphone-Based Method for Remote Health Monitoring: Assessment of Respiratory Kinematics. Electronics 2024, 13, 1132.
Abstract
The remote monitoring of clinical parameters plays a fundamental role in different situations, like pandemic health emergencies and post-surgery conditions. In these situations, the patients might be impeded in their movements and it could be difficult to have a specific health monitoring. In recent years, technological advancements in smartphones have opened up new possibilities in this landscape. The present work aims to propose a new method for respiratory kinematics monitoring via smartphone sensors. In particular, a specific application was developed to register Inertial Movement Unit (IMU) sensors data from the smartphone for respiratory kinematics measurement and to guide the user through a specific acquisition session. The session was defined to allow for the monitoring of the respiratory movement in five prescribed positions. The application and the sequence were successfully tested on a given population of 77 healthy volunteers. The resulting accelerometers and gyroscope signals were processed to evaluate the significance of differences according to participants sex, vector components and smartphone positioning and, finally, to estimate the respiratory rate. The emerged statistical differences revealed the significance of information in the different acquisition positions.
Keywords
smartphone sensors; inertial movement units; respiratory kinematics; remote health monitoring
Subject
Engineering, Bioengineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.