MRNet - A Deep Learning Based Multitasking Model for Respiration Rate Estimation in Practical Settings

• Published in: SeGAH ... IEEE ... International Conference on Serious Games and Applications for Health (Online) pp. 1 - 6
• Main Authors: Rathore, Kapil Singh, Sricharan, V, Preejith, SP, Sivaprakasam, Mohanasankar
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.08.2022
• Subjects: Accelerometer; Analytical models; Breaths per minute (bpm); Deep learning; ECG; Estimation; Multitasking; Probabilistic logic; Respiration Modulations; Statistical analysis; Uncertainty

The explosion of unobtrusive wearable technology has made seamless data aggregation possible, ultimately improving preventive care and diagnosis. Amidst all these burgeoning data points, the respiratory rate remains a crucial descriptor of health, well-being, and performance. While the traditional m...