Face masks as a platform for wearable sensors

Adeel, Muhammad; Cotur, Yasin; Naik, Atharv; Gonzalez‐Macia, Laura; Güder, Firat

doi:10.1038/s41928-022-00871-2

Cited by 14 publications

(3 citation statements)

References 10 publications

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“…However, these respiratory analysis instruments are bulky, expensive, and not real-time, which complicates the routine and long-term monitoring of patients . Therefore, it is an optimal choice to effectively combine the breath analysis technology with wearable devices . A wearable sensor is a real-time, non-invasive, and automatic monitoring device of human physiological parameters. − …”

Section: Introductionmentioning

confidence: 99%

“…12 Therefore, it is an optimal choice to effectively combine the breath analysis technology with wearable devices. 20 A wearable sensor is a real-time, non-invasive, and automatic monitoring device of human physiological parameters. 21−23 Wearable respiratory NH 3 sensors reported so far in the literature are mainly single-signal sensors, such as resistive, voltage, current, and optical NH 3 sensors for monitoring CKD.…”

Section: Introductionmentioning

confidence: 99%

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Wearable Dual-Signal NH₃ Sensor with High Sensitivity for Non-invasive Diagnosis of Chronic Kidney Disease

Chen

Liu

et al. 2023

Langmuir

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NH 3 gas in human exhaled breath contains abundant physiological information related to human health, especially chronic kidney disease (CKD). Unfortunately, up to now, most wearable NH 3 sensors show inevitable defects (low sensitivity, easy to be interfered by the environment, etc.), which may lead to misdiagnosis of CKD. To solve the above dilemma, a nanoporous, heterogeneous, and dual-signal (optical and electrical) wearable NH 3 sensor mask is developed successfully. More specifically, a polyacrylonitrile/ bromocresol green (PAN/BCG) nanofiber film as a visual NH 3 sensor and a polyacrylonitrile/polyaniline/reduced graphene oxide (PAN/PANI/rGO) nanofiber film as a resistive NH 3 sensor are constructed. Due to the high specific surface area and abundant NH 3 binding sites of these two nanofiber films, they exhibit good NH 3 sensing performance. However, although the visual NH 3 sensor (PAN/BCG nanofiber film) is simple without the need of any detecting facilities and quite stable when temperature and humidity change, it shows poor sensitivity and resolution. In comparison, the resistive NH 3 sensor (PAN/PANI/rGO nanofiber film) is of high sensitivity, fast response, and good resolution, but its electrical signal is easily interfered by the external environment (such as humidity, temperature, etc.). Considering that the sensing principles between a visual NH 3 sensor and resistive NH 3 sensor are significantly different, a wearable dual-signal NH 3 sensor containing both a visual NH 3 sensor and resistive NH 3 sensor is further explored. Our data prove that the two sensing signals in this dual-signal NH 3 sensor mask can not only work well without interference with each other but also complement each other to improve the sensing accuracy, indicating its potential application in non-invasive diagnosis of CKD.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wearable Dual-Signal NH₃ Sensor with High Sensitivity for Non-invasive Diagnosis of Chronic Kidney Disease

Chen

Liu

et al. 2023

Langmuir

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“…In the era of the Internet of Things and artificial intelligence, wearable bioelectronics providing biomonitoring , and therapeutics , in a personalized manner, are gaining traction for data-driven clinical diagnoses using machine learning algorithms. − Smart face masks show promise in tracking the flu symptom progression by monitoring respiration − and body temperature . Previous attempts at face mask-based health monitoring systems have involved integrating exterior sensors inside commercial masks − or attaching them to the masks’ surface. − However, these approaches have faced challenges including complex integration, bulky designs, and inadequate sensing stability, which can negatively impact the effective tracking of flu symptoms by increasing production costs, reducing user comfort and compliance, and resulting in unreliable data collection. , To address these issues, a structurally integrative smart face mask for continuous health monitoring is necessary for real-time and accurate monitoring of influenza symptoms.…”

mentioning

confidence: 99%

Tracing the Flu Symptom Progression via a Smart Face Mask

Zhao,

Xiao,

et al. 2023

Nano Lett.

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Respiration and body temperature are largely influenced by the highly contagious influenza virus, which poses persistent global public health challenges. Here, we present a wireless all-in-one sensory face mask (WISE mask) made of ultrasensitive fibrous temperature sensors. The WISE mask shows exceptional thermosensitivity, excellent breathability, and wearing comfort. It offers highly sensitive body temperature monitoring and respiratory detection capabilities. Capitalizing on the advances in the Internet of Things and artificial intelligence, the WISE mask is further demonstrated by customized flexible circuitry, deep learning algorithms, and a user-friendly interface to continuously recognize the abnormalities of both the respiration and body temperature. The WISE mask represents a compelling approach to tracing flu symptom progression in a cost-effective and convenient manner, serving as a powerful solution for personalized health monitoring and point-of-care systems in the face of ongoing influenza-related public health concerns.

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Organic‐Based Chemiresistive Sensors for Detection of Water‐Soluble Gases: Strategies and Roadmap for Enhancing Sensing Performance

Rath,

Talebian,

Giaretta

et al. 2024

Adv Funct Materials

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Traditional organic‐based chemiresistive sensors have been a key area of research due to their portability, low power consumption, low cost, turnability, and possibility for miniaturization. However, their real‐world applications have remained restricted by their low selectivity, low sensitivity, and low stability under demanding conditions, such as extreme temperature, humidity, and pH. As such, this review aims to lay the foundation for enhancing the performance of these gas sensors via chemical and physical modifications. To this end, an insight into the building blocks of chemiresistive gas sensors and the attributes of the main four gases (ammonia, carbon dioxide, hydrogen sulfide, and nitrogen dioxide) under aqueous conditions are provided. Such features ultimately determine the enhancement strategy that is best suited to improve the chemiresistive gas sensors performance. Furthermore, this article provides an outlook into the current bottleneck in sensor development and its translation from lab to end‐consumer use. Overall, this review aims to serve as a roadmap for developing next‐generation, high performing chemiresistive gas sensors.

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Face masks as a platform for wearable sensors

Cited by 14 publications

References 10 publications

Wearable Dual-Signal NH₃ Sensor with High Sensitivity for Non-invasive Diagnosis of Chronic Kidney Disease

Wearable Dual-Signal NH₃ Sensor with High Sensitivity for Non-invasive Diagnosis of Chronic Kidney Disease

Tracing the Flu Symptom Progression via a Smart Face Mask

Organic‐Based Chemiresistive Sensors for Detection of Water‐Soluble Gases: Strategies and Roadmap for Enhancing Sensing Performance

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Face masks as a platform for wearable sensors

Cited by 14 publications

References 10 publications

Wearable Dual-Signal NH3 Sensor with High Sensitivity for Non-invasive Diagnosis of Chronic Kidney Disease

Wearable Dual-Signal NH3 Sensor with High Sensitivity for Non-invasive Diagnosis of Chronic Kidney Disease

Tracing the Flu Symptom Progression via a Smart Face Mask

Organic‐Based Chemiresistive Sensors for Detection of Water‐Soluble Gases: Strategies and Roadmap for Enhancing Sensing Performance

Contact Info

Product

Resources

About

Wearable Dual-Signal NH₃ Sensor with High Sensitivity for Non-invasive Diagnosis of Chronic Kidney Disease

Wearable Dual-Signal NH₃ Sensor with High Sensitivity for Non-invasive Diagnosis of Chronic Kidney Disease