Within the breath lie numerous health indicators, encompassing respiratory patterns and biomarkers extending beyond respiratory conditions to cardiovascular health. Recently, the emergence of the SARS-CoV-2 pandemic has not only underscored the necessity of on-the-spot breath analysis but has also normalized the use of masks in everyday life. Simultaneously, the rapid evolution of wearable technology has given rise to innovative healthcare monitoring tools, with a specific emphasis on wearable breath sensors. This review explores current research trends in utilizing wearable breathing sensors to detect diverse respiratory biomarkers and monitor respiratory parameters, including airflow, temperature, and humidity. Additionally, it explores diverse applications, ranging from recognizing breathing patterns to swiftly detecting diseases. Integrating the Internet of Things and machine learning technologies into these applications highlights their potential to offer a personalized, accurate, and efficient healthcare solution. Human breath contains a vast amount of information that might be used to indicate respiratory and cardiovascular health. This Review summarizes and discusses recent advances in wearable breath sensors for monitoring breath temperature, humidity and airflow, as well as biomarker presence.
Recent developments in wearable breath sensors for healthcare monitoring
Dohyung Kim,Jinwoo Lee,Moo Kyun Park,S. Ko
Published 2024 in Communications Materials
ABSTRACT
PUBLICATION RECORD
- Publication year
2024
- Venue
Communications Materials
- Publication date
2024-03-20
- Fields of study
Not labeled
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
CONCEPTS
- breath airflow
The movement or flow rate of air during breathing as captured by a sensor.
Aliases: respiratory airflow, airflow
- breath humidity
The moisture content of exhaled air measured as a breath parameter.
Aliases: respiratory humidity
- breathing pattern recognition
The identification of breathing behaviors or respiratory rhythms from sensor measurements.
Aliases: breath pattern recognition
- breath temperature
The temperature of exhaled air measured as a respiratory signal.
Aliases: respiratory temperature
- disease detection
The use of sensed breath signals to infer whether a disease or abnormal condition is present.
Aliases: health condition detection
- internet of things
A network of connected devices that can transmit sensor data for remote monitoring and analysis.
Aliases: IoT
- machine learning
Computational methods that learn patterns from sensor data to support prediction or classification tasks.
Aliases: ML
- respiratory biomarkers
Biological substances detectable in breath that can indicate physiological or disease-related state.
Aliases: breath biomarkers, exhaled biomarkers
- wearable breath sensors
Sensors worn on or near the body that measure properties of exhaled breath for health monitoring.
Aliases: wearable breathing sensors, wearable respiration sensors
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