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Updated: May 25, 2025
Conducting Respiratory Oscillometry in an Outpatient Setting
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Overview of Respiratory Sensor Solutions to Support Patient Diagnosis and Monitoring
Ilona Karpiel1, Maciej Mysiński1,2, Kamil Olesz1,2
1Lukasiewicz Research Network-Krakow Institute of Technology, Zakopiańska 73, 30-418 Kraków, Poland.
Abstract:
Between 2018 and 2024, the global market has experienced significant advancements in sensor technologies for monitoring patients' health conditions, which have demonstrated a pivotal role in diagnostics, treatment monitoring, and healthcare optimization. Progress in microelectronics, device miniaturization, and wireless communication technologies has facilitated the development of sophisticated sensors, including wearable devices such as smartwatches and fitness trackers, enabling the real-time monitoring of key health parameters. These devices are widely employed across clinical settings, nursing care, and daily life to collect critical data on vital signs, including heart rate, blood pressure, oxygen saturation, and respiratory rate. A systematic review of the developments within this period highlights the transformative potential of AI and IoT-based technologies in healthcare personalization, particularly in disease symptom prediction and public health management. Furthermore, innovative techniques such as respiratory inductive plethysmography (RIP) and millimeter-wave radar systems (mmTAA) have emerged as precise, non-contact solutions for respiratory monitoring, with applications spanning diagnostics, therapeutic interventions, and enhanced safety in daily life.
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