Easy-to-Use MOX-Based VOC Sensors for Efficient Indoor Air Quality Monitoring

Pietraru, Radu Nicolae; Nicolae, Maximilian; Mocanu, Ștefan; Merezeanu, Daniel-Marian

doi:10.3390/s24082501

Cited by 3 publications

(1 citation statement)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…BME688 and SPG30 are gas sensors that come as tiny digital solutions that already handle the heater control, calibration procedures, baseline and long-term correction, and humidity compensation (for BME688, partially supported by a related processing library), and offer a comfortable interface such as SPI or I2C [33]. In [36], a comparison among many popular MOx sensors has been reported; however, the study neither consider the impact of AI on the estimation of air pollutants and AIQ, nor firmware-configurable devices like the ZMOD4410 by Renesas and the software supported BME688. For the time being, the BME688 sensor is the only solution combining precise environmental sensing with AI capabilities, the latter being easily upgradable thanks to the tools provided by the vendor.…”

Section: Sensors For Air Quality Evaluationmentioning

confidence: 99%

Index Air Quality Monitoring for Light and Active Mobility

Botticini,

Comini,

Dello Iacono

et al. 2024

Sensors

View full text Add to dashboard Cite

Light and active mobility, as well as multimodal mobility, could significantly contribute to decarbonization. Air quality is a key parameter to monitor the environment in terms of health and leisure benefits. In a possible scenario, wearables and recharge stations could supply information about a distributed monitoring system of air quality. The availability of low-power, smart, low-cost, compact embedded systems, such as Arduino Nicla Sense ME, based on BME688 by Bosch, Reutlingen, Germany, and powered by suitable software tools, can provide the hardware to be easily integrated into wearables as well as in solar-powered EVSE (Electric Vehicle Supply Equipment) for scooters and e-bikes. In this way, each e-vehicle, bike, or EVSE can contribute to a distributed monitoring network providing real-time information about micro-climate and pollution. This work experimentally investigates the capability of the BME688 environmental sensor to provide useful and detailed information about air quality. Initial experimental results from measurements in non-controlled and controlled environments show that BME688 is suited to detect the human-perceived air quality. CO2 readout can also be significant for other gas (e.g., CO), while IAQ (Index for Air Quality, from 0 to 500) is heavily affected by relative humidity, and its significance below 250 is quite low for an outdoor uncontrolled environment.

show abstract

Section: Sensors For Air Quality Evaluationmentioning

confidence: 99%

Index Air Quality Monitoring for Light and Active Mobility

Botticini,

Comini,

Dello Iacono

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

Weather Monitoring and Emergency IoT System in Muang-On Cave, Northern Thailand

Promneewat,

Taksavasu

2024

The 3rd International Electronic Conference on Processes

View full text Add to dashboard Cite

show abstract

A Feasibility Study of a Respiratory Rate Measurement System Using Wearable MOx Sensors

Fukuda,

Hyry,

Omoto

et al. 2024

Information

View full text Add to dashboard Cite

Accurately obtaining a patient’s respiratory rate is crucial for promptly identifying any sudden changes in their condition during emergencies. Typically, the respiratory rate is assessed through a combination of impedance change measurements and electrocardiography (ECG). However, impedance measurements are prone to interference from body movements. Conversely, a capnometer coupled with a ventilator offers a method of measuring the respiratory rate that is unaffected by body movements. However, capnometers are mainly used to evaluate respiration when using a ventilator or an Ambu bag by measuring the CO2 concentration at the breathing circuit, and they are not used only to measure the respiratory rate. Furthermore, capnometers are not suitable as wearable devices because they require intubation or a mask that covers the nose and mouth to prevent air leaks during the measurement. In this study, we developed a reliable system for measuring the respiratory rate utilizing a small wearable MOx sensor that is unaffected by body movements and not connected to the breathing circuit. Subsequently, we conducted experimental assessments to gauge the accuracy of the rate estimation achieved by the system. In order to avoid the effects of abnormal states on the estimation accuracy, we also evaluated the classification performance for distinguishing between normal and abnormal respiration using a one-class SVM-based approach. The developed system achieved 80% for both true positive and true negative rates. Our experimental findings reveal that the respiratory rate can be precisely determined without being influenced by body movements.

show abstract

Easy-to-Use MOX-Based VOC Sensors for Efficient Indoor Air Quality Monitoring

Cited by 3 publications

References 45 publications

Index Air Quality Monitoring for Light and Active Mobility

Index Air Quality Monitoring for Light and Active Mobility

Weather Monitoring and Emergency IoT System in Muang-On Cave, Northern Thailand

A Feasibility Study of a Respiratory Rate Measurement System Using Wearable MOx Sensors

Contact Info

Product

Resources

About