Embroidered wearable Antenna-based sensor for Real-Time breath monitoring

Gharbi, Mariam El; Fernández‐García, Raúl; Gil, Ignacio

doi:10.1016/j.measurement.2022.111080

Cited by 41 publications

(17 citation statements)

References 31 publications

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“…The design and implementation of an embroidered meander dipole antenna-based sensor embedded into a T-shirt for real-time breathing monitoring based on chest movement analysis were discussed in work [10]. The sensor's embroidered antenna was constructed of silver coated nylon thread.…”

Section: R Vinothkannamentioning

confidence: 99%

A Survey – Wearable Antenna Techniques and its Applications

Vinothkanna¹

2022

RRRJ

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Smart Antenna is an array of antennas which uses the smart signal processing algorithms to track and locate the client device using the direction of arrival of a signal. Smart Wearable Antennas are designed to function while being worn. Wearable antennas are used within the context of Wireless Body Area Networks. The wearable antenna is high in efficiency, miniature in size, and simple in structure, and is implemented with electrical performance and polarization effects, which helps in healthcare, medical and military applications, smart glasses, sensor devices in sports, etc. This research study reviews different wearable antenna technologies such as wearable textile antenna, microstrip antenna and wearable antenna array. Furthermore, the integrated different next generation antennas are also discussed.

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Section: R Vinothkannamentioning

confidence: 99%

A Survey – Wearable Antenna Techniques and its Applications

Vinothkanna¹

2022

RRRJ

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“…However, wearable sensors can play a key role in this scenario, since BR can be derived from the recorded PPG or ECG signals, making a 24hour monitoring possible. The accuracy of the measurement should be adequately taken into account and properly quantified; if the result is reliable, the provided information can be exploited not only for personal health tracking, but also to support medical decision-making processes in pathologies like lung diseases and cardiopulmonary arrest [5], but also disorders related to lungs, heart, red blood cells, and vessels [6,7]. In fact, the analysis of the respiratory pattern is commonly examined in this context [8] for the diagnosis of several different problems (e.g., anxiety, respiratory infections, thoracic/abdominal tumors, labor pain, driving safety, etc.…”

Section: Introductionmentioning

confidence: 99%

Indirect Estimation of Breathing Rate Using Wearable Devices

Cosoli,

Antognoli,

Panni

et al. 2024

IEEE Trans. Instrum. Meas.

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Wearable sensors can be exploited for the indirect estimation of physiological parameters, such as Breathing Rate (BR). Indeed, BR is a significative quantity for both general health status monitoring and diagnostic purposes; however, standard methods for its assessment are often uncomfortable and mainly used for punctual (or brief, anyway) measurements. This paper aims to perform an uncertainty analysis of BR indirect estimation made starting from electrocardiographic signals gathered through wearable sensors, namely a cardiac belt (Zephyr BioHarness 3.0) and a smartwatch (Samsung Galaxy Watch3). Three different estimation methods were employed, considering respiratory sinus arrhythmia (RSA), signal amplitude modulation (AM), and Machine Learning (ML)-based techniques. Finally, the Monte Carlo simulation method was exploited for the measurement uncertainty estimation, including both sensors (hardware) and algorithms (software) contributions in the measurement chain. The results show that both the considered sensors are quite accurate (almost null bias) and precise (±[3-5] bpm, depending on the estimation method) in the estimation of BR with the three different estimation algorithms. A slightly higher precision is obtained for the cardiac belt (a reduced 95% confidence interval is reported, with a maximum reduction of 4 bpm depending on the estimation algorithm), whose results are also more strongly correlated to the reference ones (Pearson's correlation coefficient ≥0.75 in all the three methods). The Monte Carlo simulation evidenced that the ML-based method is the most robust with respect to the sensors uncertainty (with no differences in the output uncertainty with respect to the sensors uncertainty in input); moreover, the higher precision of the cardiac belt with respect to the smartwatch was confirmed (-1 bpm in the output uncertainty) if RSA-and AM-based methods are considered.

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“…Since then, e-textiles are of great interest and have experienced disruptive innovation and advancement in terms of research and application. So far, e-textiles Nanomaterials 2022, 12, 2039 2 of 47 have been proposed to be utilized in different areas, i.e., healthcare [7,8], sensing [9,10], defense [11,12], sports [13,14], personal protection [15,16], fashion [17,18], energy [19,20], thermal management [21,22], magnetic shielding [23,24], communication [25,26], etc. The incorporation of metal nanoparticles (silver [27,28], gold [29,30], copper [31,32], zinc oxide [33,34], gallium [35,36], platinum [37,38], aluminum [39,40], nickel [41,42], cobalt [43,44], tin [45,46], etc.…”

Section: Introductionmentioning

confidence: 99%

Advances in the Robustness of Wearable Electronic Textiles: Strategies, Stability, Washability and Perspective

Sadi

Kumpikaitė

2022

Nanomaterials

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Flexible electronic textiles are the future of wearable technology with a diverse application potential inspired by the Internet of Things (IoT) to improve all aspects of wearer life by replacing traditional bulky, rigid, and uncomfortable wearable electronics. The inherently prominent characteristics exhibited by textile substrates make them ideal candidates for designing user-friendly wearable electronic textiles for high-end variant applications. Textile substrates (fiber, yarn, fabric, and garment) combined with nanostructured electroactive materials provide a universal pathway for the researcher to construct advanced wearable electronics compatible with the human body and other circumstances. However, e-textiles are found to be vulnerable to physical deformation induced during repeated wash and wear. Thus, e-textiles need to be robust enough to withstand such challenges involved in designing a reliable product and require more attention for substantial advancement in stability and washability. As a step toward reliable devices, we present this comprehensive review of the state-of-the-art advances in substrate geometries, modification, fabrication, and standardized washing strategies to predict a roadmap toward sustainability. Furthermore, current challenges, opportunities, and future aspects of durable e-textiles development are envisioned to provide a conclusive pathway for researchers to conduct advanced studies.

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Embroidered wearable Antenna-based sensor for Real-Time breath monitoring

Cited by 41 publications

References 31 publications

A Survey – Wearable Antenna Techniques and its Applications

A Survey – Wearable Antenna Techniques and its Applications

Indirect Estimation of Breathing Rate Using Wearable Devices

Advances in the Robustness of Wearable Electronic Textiles: Strategies, Stability, Washability and Perspective

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