Early detection of seronegative spondyloarthropathies using analysis of breathing patterns

Abstract

The most prevalent forms of SpA in the US are AS and non-radiographic axial SpA, which together have a prevalence of 0.7% to 1.4%. A class of autoimmune diseases known as seronegative spondyloarthropathies (SSA) causes normal body cells to assault the musculoskeletal system, resulting in unstable, fracture-prone weak joints in the bones. Millions of people worldwide struggle with this issue, which is also one of the most difficult to identify and manage. This is because more than basic tests or a visit to the doctor is often needed to identify the diagnosis, which frequently calls for complicated scans. These spine issues can result in rib cage congestion, which alters breathing patterns and causes chest expansions in various places of the torso.

In the group of autoimmune diseases known as seronegative spondyloarthropathies (SSA), normal body cells attack the cells in our musculoskeletal system, causing the weak joints in our bones to become unstable and brittle. These spine issues also result in rib cage congestion, which alters breathing patterns and causes chest expansions in various thoracic regions. Five force-sensitive resistors are used in total by our prototype approach. These are fastened to a belt that encircles your whole chest, mapping the chest's growth and mobility in every dimension. This information is used to calculate the chest's expansion, including its size, rate, and force. An IMU sensor will be used in the project to measure the chest's movement. The device's microcontroller will receive all of this data and forward it to a wireless communication module. Data will be sent by this wireless connection module to a phone or laptop so that it may be processed. We may use the second derivative of the acceleration to calculate the distance traveled or the expansion of the chest. We will need to perform a Riemann sum twice to determine the distance because our data is discrete rather than continuous. We may multiply the value by the interval between readings to determine the velocity at a specific moment.