Article
Chemistry, Analytical
Katya Arquilla, Laura Devendorf, Andrea K. Webb, Allison P. Anderson
Summary: Wearable physiological monitoring systems are increasingly important in autonomous health monitoring and human-computer interaction. We propose woven textile electrodes integrated into garments as an option for capturing complete ECG waveforms.
Article
Instruments & Instrumentation
Marco Chu, Hani E. Naguib
Summary: This study assessed the performance of various conductive composite polymers in collecting electrical signals from the heart, and found that adding 5% carbon nanotubes significantly increased the elastic modulus and conductivity of the composites. SBS-CNT composites at 5% and 10% showed the best performance in detecting ECG waves from the heart.
SMART MATERIALS AND STRUCTURES
(2021)
Article
Biophysics
Margot Deviaene, Ivan D. Castro, Pascal Borzee, Aakash Patel, Tom Torfs, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon
Summary: This study evaluated a novel unobtrusive system for detecting sleep apnea, proposed a sleep apnea detection algorithm, and trained it using various respiratory measurements. Results showed promising performance on the capacitively-coupled data set, highlighting a need for further research on the effect of respiration on capacitively-coupled ECG.
PHYSIOLOGICAL MEASUREMENT
(2021)
Review
Chemistry, Multidisciplinary
Yuanjie Su, Chunxu Chen, Hong Pan, Ye Yang, Guorui Chen, Xun Zhao, Weixiong Li, Qichen Gong, Guangzhong Xie, Yihao Zhou, Songlin Zhang, Huiling Tai, Yadong Jiang, Jun Chen
Summary: The development of a muscle fiber-inspired nonwoven piezoelectric textile for wearable physiological monitoring demonstrates outstanding sensitivity and long-term stability. Through experimental and theoretical validation, the textile shows potential applications in pulse wave measurement, human motion monitoring, and active voice recognition. This cost-effective approach paves the way for high-performance and self-powered wearable bioelectronics in personalized healthcare.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Engineering, Electrical & Electronic
Burcu Arman Kuzubasoglu, Ersin Sayar, Cedric Cochrane, Vladan Koncar, Senem Kursun Bahadir
Summary: This paper introduces the production of MWCNT printed flexible temperature sensors using inkjet printing method and encapsulated with PU welding tape. The fabricated sensors exhibit high-temperature sensitivity below 50 degrees Celsius, outperforming typical commercial platinum temperature sensors and most CNT-based temperature sensors in the literature.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Yuan Xiao, Qian Li, Chengkun Zhang, Wei Zhang, Weibo Yun, Leipeng Yang
Summary: Delivery of electronic functionality through smart textiles is crucial for the development of wearable electronics. In this study, a new method combining liquid phase chemical reduction and inkjet printing was used to fabricate electrical circuits on textile substrates. The resulting conductive layers showed high conductivity and were used to create textile capacitive sensors and electrocardiogram (ECG) electrodes with good response time and stability.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Niclas Richter, Khorolsuren Tuvshinbayar, Guido Ehrmann, Andrea Ehrmann
Summary: The possibility of measuring biosignals by smart textiles with embedded electronics has increased due to the availability of low-cost sensors and single circuit boards such as Arduino and Raspberry Pi. One challenge with e-textiles is their washability, but this study demonstrates that optical pulse sensors and microcontrollers can endure 10 washing cycles at 30-60 degrees Celsius without defects, even without encapsulation. The use of an ESP8266 with integrated Wi-Fi functionality is suggested for easier garment integration, along with a new program code for measuring beats per minute (BMP) with optimized accuracy.
Article
Chemistry, Applied
Mengyao Zhang, Yu Zhang, Yaping Li, Junhui Wei, Lingfan Xu, Jing Yuan, Zhenzhen Xu, Yuai Duan, Tianyu Han
Summary: This work presents the synthesis and photophysical properties of a vapoluminescent compound, DPINO, and studies its application in VOCs detection. It is found that DPINO exhibits varying degrees of fluorescence response towards different VOCs, which can be evaluated using color spaces. The dip-dyeing method is employed to fabricate a smart textile that shows notable fluorescence change in response to VOCs, allowing for high visual identification and real-time feedback.
Article
Chemistry, Analytical
Kayisan M. Dalmeida, Giovanni L. Masala
Summary: This study investigates the role of HRV-derived features as stress markers and develops a predictive model using machine learning methodologies to accurately classify stress levels with an 80% Recall rate.
Article
Chemistry, Multidisciplinary
Jian Zhang, Jie Zhou, Qingqing Zhou, Wen Wu, Huanxia Zhang, Xiangsong Lin, Qiulan Luo, Jianda Cao, Hui Ma
Summary: This study modifies cotton fabrics by using reduced graphene oxide (RGO) and a photosensitive dye, spiropyran (SP), to detect environmental UV light. Scanning electron microscopy (SEM) observations reveal that the topography structure of the coatings is related to the SP content. After UV radiation, the resistance of the textile sensors decreases, indicating easier electron transmission. The introduction of a large amount of SP within the composites causes discontinuous distributions of RGO, preventing electron transmission within the RGO coatings.
Article
Chemistry, Analytical
Dorien Huysmans, Ivan Castro, Pascal Borzee, Aakash Patel, Tom Torfs, Bertien Buyse, Dries Testelmans, Sabine Van Huffel, Carolina Varon
Summary: The study utilized ccECG and ccBioZ sensors along with PSG to record sleep in OSA patients, predicting sleep-wake status using a multimodal CNN and identifying high-risk OSA patients successfully.
Article
Computer Science, Information Systems
Shuenn-Yuh Lee, Yi-Wen Hung, Po-Han Su, I-Pei Lee, Ju-Yi Chen
Summary: This paper introduces a complete wearable system with smart clothing for long-term monitoring of lead-I ECG and respiratory signals. The proposed system overcomes challenges in integrating ECG electrodes and respiration transducers in clothing and provides high-quality signals for clinical use. Moreover, real-time monitoring and health information analysis are enabled through a software platform.
Article
Chemistry, Analytical
Mariacristina Larciprete, Noemi Orazi, Yves-Simon Gloy, Stefano Paoloni, Concita Sibilia, Roberto Li Voti
Summary: Lock-in thermography was used to measure the in-plane thermal diffusivity of three PES textiles with different weaving patterns and interlacing fiber density. Increased linear mass density of the fibers resulted in decreased in-plane thermal diffusivity, leading to anisotropic behavior in the interlaced specimens. A new theoretical model was developed and applied to analyze the experimental results, providing insights into the role of different textile and fiber parameters in determining thermal diffusivity.
Review
Chemistry, Analytical
Alessandra Angelucci, Matteo Cavicchioli, Ilaria A. Cintorrino, Giuseppe Lauricella, Chiara Rossi, Sara Strati, Andrea Aliverti
Summary: The application of textile technologies in producing sensorized fabrics allows for continuous monitoring of physiological parameters, addressing technological challenges and garment requirements simultaneously. By fully integrating sensors into the fabric, it becomes possible to record various physiological parameters such as biopotentials, respiratory parameters, temperature, and sweat.
Article
Engineering, Environmental
Yifan Zhang, Patil Aniruddha, Chen Hou, Di Lu, Wu Qiu, Lingqing Kong, Ronghui Wu, Liyun Ma, Rui Yu, Weidong Yu, Xiang Yang Liu
Summary: This study achieved high sensitivity and biocompatibility sensors by incorporating Polyurethane into Silk fibroin, which can be used for wearable smart devices such as smart wristbands.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Pedro-Jose Gomez-del-Hoyo, Maria-Pilar Jarabo-Amores, David Mata-Moya, Nerea del-Rey-Maestre, Manuel Rosa-Zurera
IEEE SENSORS JOURNAL
(2020)
Article
Ecology
Mercedes Conde-Valverde, Ignacio Martinez, Rolf M. Quam, Manuel Rosa, Alex D. Velez, Carlos Lorenzo, Pilar Jarabo, Jose Maria Bermudez de Castro, Eudald Carbonell, Juan Luis Arsuaga
Summary: This study used CT scanning and an auditory bioengineering model to investigate the auditory capacities of Neanderthals, finding that their occupied bandwidth was similar to that of modern humans, indicating that they had evolved auditory capacities to support a vocal communication system as efficient as modern human speech.
NATURE ECOLOGY & EVOLUTION
(2021)
Article
Acoustics
Joaquin Garcia-Gomez, Roberto Gil-Pita, Miguel Aguilar-Ortega, Manuel Utrilla-Manso, Manuel Rosa-Zurera, Inma Mohino-Herranz
Summary: Hearing loss is a common issue among elderly people, and hearing aids have the potential to improve quality of life. The study uses cascade detectors to reduce computational costs while maintaining performance or increasing performance without increasing costs. Results show that this approach can reduce system errors.
Article
Acoustics
Hector A. Sanchez-Hevia, Roberto Gil-Pita, Manuel Rosa-Zurera
Summary: This paper focuses on a multichannel detection system for impulsive audio events, proposing a solution based on a low-complexity classification algorithm and an effective method to include temporal context in the feature vector. Results show that the proposed system is capable of achieving adequate performance without incurring large computational loads, demonstrating the effectiveness of utilizing spatial diversity in wireless sensor networks.
Article
Computer Science, Information Systems
Hector A. Sanchez-Hevia, Roberto Gil-Pita, Manuel Utrilla-Manso, Manuel Rosa-Zurera
Summary: This paper analyzes the performance of different types of Deep Neural Networks in jointly estimating age and identifying gender from speech. It explores how network architecture and the number of free parameters affect performance. The results show that gender classification is excellent, regardless of the type of neural network, and improves with larger network sizes. For age group classification, a combination of convolutional neural networks and temporal neural networks appears to be the best option. The study suggests promising applications of these methods in IVR systems.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Inma Mohino-Herranz, Joaquin Garcia-Gomez, Miguel Aguilar-Ortega, Manuel Utrilla-Manso, Roberto Gil-Pita, Manuel Rosa-Zurera
Summary: This paper presents a new database called ReaLISED, which provides a large amount of real labeled indoor audio event recordings for testing sound event classification algorithms. The dataset is scalable and has a balanced number of recordings for each event type. The intra- and interclass similarities were evaluated, and different classifiers were created to test the dataset. Clustering results show the usefulness of a two-step classification process.
Article
Engineering, Electrical & Electronic
Penghui Ma, Jianfeng Li, Jingjing Pan, Xiaofei Zhang, Roberto Gil-Pita
Summary: This paper explores the structure of the difference co-array generated from array motion in CADiS and proposes two motion strategies to fill the holes in the co-array. Numerical results demonstrate the superiority of these strategies.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Acoustics
Fangfang Zhu-Zhou, Diana Tejera-Berengue, Roberto Gil-Pita, Manuel Utrilla-Manso, Manuel Rosa-Zurera
Summary: This study compares machine learning models in the context of audio violence detection, specifically exploring the impact of different training set configurations and data augmentation techniques on model performance and robustness, with a focus on domain shifts. The results show that shallow networks, despite their lower computational costs, perform nearly on par with high-cost convolutional neural networks. Introducing tailored data augmentation techniques significantly enhances the models' performance and stability, providing a promising direction for improving system robustness.
Article
Multidisciplinary Sciences
Eduardo Illueca Fernandez, Carlos Fernandez Llatas, Antonio Jesus Jara Valera, Jesualdo Tomas Fernandez Breis, Fernando Seoane Martinez
Summary: The World Health Organization predicts that air pollution will be one of the most significant challenges in the environment in the coming years. Due to its impact on mortality risk, air quality monitoring and climate change mitigation actions have been promoted. Therefore, it is important to develop a methodology that supports experts in making decisions based on exposure data, identifying exposure-related activities, and proposing mitigation scenarios. A new methodology based on human knowledge, using interactive process mining, is proposed to achieve this.
Article
Chemistry, Analytical
Fangfang Zhu-Zhou, Roberto Gil-Pita, Joaquin Garcia-Gomez, Manuel Rosa-Zurera
Summary: This study demonstrates through experiments that emotional speech databases generated under non-real-world conditions fail to provide data close enough to real scenarios, leading to a decline in the performance of emotion recognition systems. The paper also proposes a virtual enlargement method and a robust multi-scenario speech-based emotion recognition system.
Proceedings Paper
Engineering, Electrical & Electronic
Manuel Rosa-Zurera, Manuel Utrilla-Manso, Roberto Gil-Pita, Joaquin Garcia-Gomez
Summary: This study investigates errors in sound source position estimation with two microphone arrays, finding that inaccuracies in estimated arrival angles can lead to incorrect position estimations. The research suggests the use of array networks for surveillance of wide areas where accurately estimating positions with two-array systems may be challenging.
2021 SIGNAL PROCESSING SYMPOSIUM (SPSYMPO)
(2021)
Article
Engineering, Aerospace
Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera
Summary: This paper addresses the challenging problem of aircraft envelope expansion during new underwing stores installation, specifically focusing on aeroelastic flutter phenomenon. It introduces a new robust technique, the PRESTO algorithm, for processing short time signals in flutter flight tests and compares it with a Laplace Wavelet estimation method. The PRESTO algorithm improves performance and accuracy while maintaining robustness in real and simulated data.