Wearable Pressure Sensors for Pulse Wave Monitoring (Adv. Mater. 21/2022)

Meng, Keyu; Xiao, Xiao; Wei, Wen-Qi; Chen, Guorui; Nashalian, Ardo; Shen, Sophia

doi:10.1002/adma.202270158

Cited by 70 publications

(78 citation statements)

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“…The working principle of the textile sensor for respiratory monitoring is the combination of the triboelectric effect and electrostatic induction that converts breathing pressure into electricity. [ 17,22,42–45 ] A cross section of the textile sensor is schematically shown in Figure 3a‐I. With the breathing pressure, the two yarns contact each other and equivalent electrification with opposite polarities is generated on the surface of PVDF and epoxy.…”

Section: Resultsmentioning

confidence: 99%

A Deep‐Learning‐Assisted On‐Mask Sensor Network for Adaptive Respiratory Monitoring

et al. 2022

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Wearable respiratory monitoring is a fast, non‐invasive, and convenient approach to provide early recognition of human health abnormalities like restrictive and obstructive lung diseases. Here, a computational fluid dynamics assisted on‐mask sensor network is reported, which can overcome different user facial contours and environmental interferences to collect highly accurate respiratory signals. Inspired by cribellate silk, Rayleigh‐instability‐induced spindle‐knot fibers are knitted for the fabrication of permeable and moisture‐proof textile triboelectric sensors that hold a decent signal‐to‐noise ratio of 51.2 dB, a response time of 0.28 s, and a sensitivity of 0.46 V kPa−1. With the assistance of deep learning, the on‐mask sensor network can realize the respiration pattern recognition with a classification accuracy up to 100%, showing great improvement over a single respiratory sensor. Additionally, a customized user‐friendly cellphone application is developed to connect the processed respiratory signals for real‐time data‐driven diagnosis and one‐click health data sharing with the clinicians. The deep‐learning‐assisted on‐mask sensor network opens a new avenue for personalized respiration management in the era of the Internet of Things.

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Section: Resultsmentioning

confidence: 99%

A Deep‐Learning‐Assisted On‐Mask Sensor Network for Adaptive Respiratory Monitoring

et al. 2022

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“…The trend toward personalized healthcare and environmentally‐friendly alternatives has spawned a boom in sensor research. [ 242–261 ] The unique planar structure, sizable specific surface area, stacking interaction, and hydrogen bonding of MOFs and COFs would enlarge the loading efficiency and surface concentration of probe biomolecules. [ 262–265 ] Zhang and co‐workers reported a novel ultrasensitive aptasensing platform based on the composite of MOF@COF hybrid material for determining the antibiotic residue in actual samples.…”

Section: The Application Of Mof/cof Hybrid Materialsmentioning

confidence: 99%

Progress in Hybridization of Covalent Organic Frameworks and Metal–Organic Frameworks

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Xiao

et al. 2022

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Metal–organic frameworks (MOFs) and covalent organic frameworks (COFs) hybrid materials are a class of porous crystalline materials that integrate MOFs and COFs with hierarchical pore structures. As an emerging porous frame material platform, MOF/COF hybrid materials have attracted tremendous attention, and the field is advancing rapidly and extending into more diverse fields. Extensive studies have shown that a broad variety of MOF/COF hybrid materials with different structures and specific properties can be synthesized from diverse building blocks via different chemical reactions, driving the rapid growth of the field. The allowed complementary utilization of π‐conjugated skeletons and nanopores for functional exploration has endowed these hybrid materials with great potential in challenging energy and environmental issues. It is necessary to prepare a “family tree” to accurately trace the developments in the study of MOF/COF hybrid materials. This review comprehensively summarizes the latest achievements and advancements in the design and synthesis of MOF/COF hybrid materials, including COFs covalently bonded to the surface functional groups of MOFs (MOF@COF), MOFs grown on the surface of COFs (COF@MOF), bridge reaction between COF and MOF (MOF+COF), and their various applications in catalysis, energy storage, pollutant adsorption, gas separation, chemical sensing, and biomedicine. It concludes with remarks concerning the trend from the structural design to functional exploration and potential applications of MOF/COF hybrid materials.

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“…Cardiovascular diseases (CVDs) lead to more than 18 million deaths each year and are the top cause of death worldwide. [ 1,2 ] The human pulse wave, as one of the most representative vital signs, has historically been a significant source of physiological information for clinical health evaluation. [ 3,4 ] The variations in pulse waveforms are also important basis assessments of human cardiovascular system (blood flow, peripheral resistance, and vascular elasticity), which are related to the CVDs, such as arteriosclerosis, myocardial infarction, and hypertension.…”

Section: Introductionmentioning

confidence: 99%

Kirigami‐Inspired Pressure Sensors for Wearable Dynamic Cardiovascular Monitoring

et al. 2022

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Continuously and accurately monitoring pulse‐wave signals is critical to prevent and diagnose cardiovascular diseases. However, existing wearable pulse sensors are vulnerable to motion artifacts due to the lack of proper adhesion and conformal interface with human skin during body movement. Here, a highly sensitive and conformal pressure sensor inspired by the kirigami structure is developed to measure the human pulse wave on different body artery sites under various prestressing pressure conditions and even with body movement. COMSOL multiphysical field coupling simulation and experimental testing are used to verify the unique advantages of the kirigami structure. The device shows a superior sensitivity (35.2 mV Pa−1) and remarkable stability (>84 000 cycles). Toward practical applications, a wireless cardiovascular monitoring system is developed for wirelessly transmitting the pulse signals to a mobile phone in real‐time, which successfully distinguished the pulse waveforms from different participants. The pulse waveforms measured by the kirigami inspired pressure sensor are as accurate as those provided by the commercial medical device. Given the compelling features, the sensor provides an ascendant way for wearable electronics to overcome motion artifacts when monitoring pulse signals, thus representing a solid advancement toward personalized healthcare in the era of the Internet of Things.

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Wearable Pressure Sensors for Pulse Wave Monitoring (Adv. Mater. 21/2022)

Cited by 70 publications

References 0 publications

A Deep‐Learning‐Assisted On‐Mask Sensor Network for Adaptive Respiratory Monitoring

A Deep‐Learning‐Assisted On‐Mask Sensor Network for Adaptive Respiratory Monitoring

Progress in Hybridization of Covalent Organic Frameworks and Metal–Organic Frameworks

Kirigami‐Inspired Pressure Sensors for Wearable Dynamic Cardiovascular Monitoring

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