abstract
Respiratory diseases are currently monitored through traditional pulmonary function tests, such as spirometry. However, the restrictions of these procedures, particularly in the context of the COVID-19 pandemic, have underscored the need for alternative approaches to respiratory health assessment. Wearable devices have emerged as a promising solution, providing continuous data collection, and overcoming the limitations posed by conventional methods. This review explores the multifaceted field of wearable devices for respiratory monitoring, presenting the most common sensing technologies applied to pulmonary ventilation, their constituent materials, fabrication techniques, and diverse morphologies to enhance sensor performance. The role of machine learning algorithms and ethical data sharing is highlighted, contributing to the forthcoming patient-centered healthcare landscape. Ultimately, the importance of validation and calibration protocols for wearable devices is underlined. In anticipation of evolving healthcare needs, this in-depth study addresses the current challenges in wearable respiratory monitoring while laying a robust foundation for a personalized, connected, and ethically sound future for respiratory care. Beyond the limitations of traditional pulmonary function tests, wearable technology emerges as a game-changer for respiratory monitoring. This review explores the sensing technologies and materials employed in the construction of accurate physiological data acquisition devices. Leveraging artificial intelligence while adhering to strict ethical protocols, the future holds promise for wearable integration within patient-centered care. image
keywords
STRAIN SENSORS; TRIBOELECTRIC NANOGENERATOR; MECHANICAL-PROPERTIES; HIGH-SENSITIVITY; PRESSURE SENSOR; QUALITY-CONTROL; SWEAT ANALYSIS; SKIN; CLASSIFICATION; SPIROMETRY
subject category
Chemistry; Science & Technology - Other Topics; Materials Science; Physics
authors
Vicente, BA; Sebastiao, R; Sencadas, V
our authors
Bernardo Afonso Vicente
PhD Student
Vitor Sencadas
Associate ProfessorProjects
Collaboratory for Emerging Technologies, CoLab (EMERGING TECHNOLOGIES)
CICECO - Aveiro Institute of Materials (UIDB/50011/2020)
CICECO - Aveiro Institute of Materials (UIDP/50011/2020)
Associated Laboratory CICECO-Aveiro Institute of Materials (LA/P/0006/2020)
acknowledgements
This work was funded by national funds through FCT - Fundac & atilde;o para a Ciencia e a Tecnologia, I.P., under the Scientific Employment Stimulus CEECINST/00013/2021 (DOI 10.54499/CEECINST/00013/2021/CP2779/CT0001, R.S.) and CEECIND/03986/2018, (DOI 10.54499/CEECIND/03986/2018/CP1559/CT0028, R.S.), and within the R&D unit IEETA/UA, UIDB/00127/2020 (DOI 10.54499/UIDP/00127/2020). This work was developed within the scope of the project CICECO - Aveiro Institute of Materials, UIDB/50011/2020 (DOI 10.54499/UIDB/50011/2020), UIDP/50011/2020 (DOI 10.54499/UIDP/50011/2020) & LA/P/0006/2020 (DOI 10.54499/LA/P/0006/2020), financed by national funds through the FCT/MCTES (PIDDAC).