Design of a wearable device for respiratory rate monitoring and detection of anomalous values



Biotelemetry, Design, MEMS microphone, Simulation


Abstract— Chronic obstructive pulmonary disease (COPD) is characterized by a persistent reduction in airflow. Symptoms gradually worsen and shortness of breath, dyspnea, increases over time to even appear at rest. Regarding measurement technology, spirometry is the reference standard for the diagnosis and evaluation of the severity of said condition. This test requires specialized equipment that does not allow it to be performed on an outpatient basis or for constant monitoring. For this reason, the doctor must systematically look for the presence of symptoms that may go unnoticed by the patient and that can be attributed to age, sedentary lifestyle, or the fact of smoking. Also, prolonged expiration in the trachea during a maximum forced effort can be useful in the early diagnosis of obstruction or when spirometry is not available, which is why it would be important to be able to constantly monitor breathing in order to increase the probability of identifying possible COPD at an early stage.

The solution proposed in this article is focused on the design and implementation of a wearable device that allows the monitoring of the respiratory rate. This device will allow this biometric variable to be identified and will notify when it is outside the normal ranges to suggest an airflow test (spirometry) at a possible early stage of the disease. This instrumentation system will be integrated into the frame of a pair of glasses, specifically positioning the sensor on the nasal platelets.


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Author Biographies

Margarita Narducci, Universidad del Norte

Margarita Sofía Narducci Marín finished her studies in Electronic Engineering at the Universidad del Norte in 2004 and Master's and Doctorate studies in Electronic Engineering at the Autonomous University of Barcelona in 2007 and 2010 respectively. From 2005 to 2010, she was linked to the Barcelona National Microelectronics Center (IMB-CNM-CSIC), where she worked on the design and development of CMOS-compatible resonant microelectromechanical systems for air quality control applications. From 2011 to 2014, she was associated with the Singapore Institute of Microelectronics (A*STAR-IME), where she worked on the design and development of CMOS-compatible microelectromechanical systems for medical and telecommunication applications. From 2015 to 2021, she was linked as an assistant professor in the Department of Electronic Engineering at the Pontificia Universidad Javeriana where she worked on the design and development of electronic instrumentation systems. Since 2022, she has been working as an assistant professor in the Department of Electrical and Electronic Engineering of the Universidad del Norte.

Juan Manuel Aya, Universidad Javeriana

Juan Manuel Aya Perlaza finished his studies in electronic engineering at the Pontificia Universidad Javeriana in 2021. He is currently studying a Master's in data analytics and business intelligence at the Pontificia Universidad Javeriana and works as a business intelligence leader for the Seeri platform .


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How to Cite

Narducci, M., & Aya, J. M. (2023). Design of a wearable device for respiratory rate monitoring and detection of anomalous values. IEEE Latin America Transactions, 21(3), 513–518. Retrieved from