👉 Respiratory computing, also known as respiratory signal processing, is a specialized field within biomedical engineering that focuses on analyzing and interpreting physiological signals related to breathing patterns. This technology involves the use of sensors and algorithms to monitor and interpret respiratory data, such as airflow, breathing rate, and chest or abdominal movements. By processing these signals, respiratory computing can provide valuable insights into a patient's respiratory health, detect abnormalities, and assist in the diagnosis and management of conditions like sleep apnea, chronic obstructive pulmonary disease (COPD), and respiratory infections. It plays a crucial role in both clinical settings, where it can aid in real-time monitoring and treatment adjustments, and in research, where it helps in understanding the complex dynamics of breathing and its impact on overall health. This technology often integrates machine learning techniques to improve accuracy and adaptability, making it a powerful tool in personalized healthcare.
