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Sensors, wearables

Luyu Zhou, Qing Gao, Jun-Fu Zhan, Chao-Qi Xie, Jianzhong Fu, Yong He
Liquid metal-based flexible sensors, which utilize advanced liquid conductive material to serve as sensitive element, is emerging as a promising solution to measure large deformations. Nowadays, one of the biggest challenges for precise control of soft robots is the detection of their real time positions. Existing fabrication methods are unable to fabricate flexible sensors that match the shape of soft robots. In this report, we firstly described a novel 3D printed multi-function inductance flexible and stretchable sensor with liquid metals (LMs), which is capable of measuring both axial tension and curvature...
June 18, 2018: ACS Applied Materials & Interfaces
Hyosang Yoon, Xing Xuan, Sungkwan Jeong, Jae Y Park
Electroplating of nanoporous Pt (nPt) induces an extremely strong tensile stress, which results in the exfoliation of nPt on flexible polymer substrate despite plasma treatment to improve adhesion. Here, we overcame this challenge by modifying flexible stainless-steel, and developed wearable, robust, flexible, and non-enzymatic continuous glucose monitoring system. The flexible stainless-steel was highly effective in improving the adhesion between the metal layer and substrate. The developed wireless system included electrochemical analysis circuits, a microcontroller unit, and a wireless communication module...
June 5, 2018: Biosensors & Bioelectronics
Ada Ng, Madhu Reddy, Alyson K Zalta, Stephen M Schueller
BACKGROUND: The increase in availability of patient data through consumer health wearable devices and mobile phone sensors provides opportunities for mental health treatment beyond traditional self-report measurements. Previous studies have suggested that wearables can be effectively used to benefit the physical health of people with mental health issues, but little research has explored the integration of wearable devices into mental health care. As such, early research is still necessary to address factors that might impact integration including patients' motivations to use wearables and their subsequent data...
June 15, 2018: JMIR Mental Health
Adrian Derungs, Corina Schuster-Amft, Oliver Amft
Background: Longitudinal movement parameter analysis of hemiparetic patients over several months could reveal potential recovery trends and help clinicians adapting therapy strategies to maximize recovery outcome. Wearable sensors offer potential for day-long movement recordings in realistic rehabilitation settings including activities of daily living, e.g., walking. The measurement of walking-related movement parameters of affected and non-affected body sides are of interest to determine mobility and investigate recovery trends...
2018: Frontiers in Bioengineering and Biotechnology
Robert Wu, Daniyal Liaqat, Eyal de Lara, Tatiana Son, Frank Rudzicz, Hisham Alshaer, Pegah Abed-Esfahani, Andrea S Gershon
BACKGROUND: Acute exacerbations of chronic obstructive pulmonary disease (COPD) are associated with accelerated decline in lung function, diminished quality of life, and higher mortality. Proactively monitoring patients for early signs of an exacerbation and treating them early could prevent these outcomes. The emergence of affordable wearable technology allows for nearly continuous monitoring of heart rate and physical activity as well as recording of audio which can detect features such as coughing...
June 14, 2018: JMIR MHealth and UHealth
Gregory J Jenkins, Chady H Hakim, N Nora Yang, Gang Yao, Dongsheng Duan
BACKGROUND AND OBJECTIVE: Gait analysis is valuable for studying neuromuscular and skeletal diseases. Wearable motion sensors or inertial measurement units (IMUs) have become common for human gait analysis. Canines are important large animal models for translational research of human diseases. Our objective is to develop a method for accurate and reliable determination of the timing of each stride in dogs using a wearable IMU. METHODS: We built a wireless IMU sensor using off-the-shelf components...
2018: PloS One
Jingyao Sun, Yanan Zhao, Zhaogang Yang, Jingjing Shen, Eusebio Cabrera, Matthew J Lertola, Willie Yang, Dan Zhang, A Benatar, Jose M Castro, Daming Wu, L James Lee
Multifunctional electronics are attracting great interest with the increasing demand and fast development of wearable electronic devices. Here, we describe an epidermal strain sensor based on an all-carbon conductive network made from multi-walled carbon nanotubes (MWCNTs) impregnated with poly(dimethyl siloxane) (PDMS) matrix through a vacuum filtration process. An ultrasonication treatment was performed to complete the penetration of PDMS resin in seconds. The entangled and overlapped MWCNT network largely enhances the electrical conductivity (1430 S/m), uniformity (remaining stable on different layers), reliable sensing range (up to 80% strain), and cyclic stability of the strain sensor...
June 13, 2018: Nanotechnology
Paul Baek, Lenny Voorhaar, David Barker, Jadranka Travas-Sejdic
The field of bioelectronics involves the fascinating interplay between biology and human-made electronics. Applications such as tissue engineering, biosensing, drug delivery, and wearable electronics require biomimetic materials that can translate the physiological and chemical processes of biological systems, such as organs, tissues. and cells, into electrical signals and vice versa. However, the difference in the physical nature of soft biological elements and rigid electronic materials calls for new conductive or electroactive materials with added biomimetic properties that can bridge the gap...
June 13, 2018: Accounts of Chemical Research
Serena de Gelidi, Nima Seifnaraghi, Andy Bardill, Andrew Tizzard, Yu Wu, Erich Sorantin, Sven Nordebo, Andreas Demosthenous, Richard H Bayford
Newborns with lung immaturity often require continuous monitoring and treatment of their lung ventilation in intensive care units, especially if born preterm. Recent studies indicate that Electrical Impedance Tomography (EIT) is feasible in newborn
 infants and children, and can quantitatively identify changes in regional lung aeration and ventilation following alterations to respiratory conditions. Information on the patient-specic shape of the torso and its role in minimizing the artefacts in the
 reconstructed images can improve the accuracy of the clinical parameters obtained from EIT...
June 12, 2018: Physiological Measurement
Chang-Mou Wu, Min-Hui Chou, Wun-Yuan Zeng
Polyvinylidene fluoride (PVDF) shows piezoelectricity related to its β-phase content and mechanical and electrical properties influenced by its morphology and crystallinity. Electrospinning (ES) can produce ultrafine and well-aligned PVDF nanofibers. In this study, the effects of the presence of carbon nanotubes (CNT) and optimized ES parameters on the crystal structures and piezoelectric properties of aligned PVDF/CNT nanofibrous membranes were examined. The optimal β content and piezoelectric coefficient (d33 ) of the aligned electrospun PVDF reached 88% and 27...
June 10, 2018: Nanomaterials
Jin Pan, Shiyu Liu, Yicheng Yang, Jiangang Lu
Resistive pressure sensors generally employ microstructures such as pores and pyramids in the active layer or on the electrodes to reduce the Young’s modulus and improve the sensitivity. However, such pressure sensors always exhibit complex fabrication process and have difficulties in controlling the uniformity of microstructures. In this paper, we demonstrated a highly sensitive resistive pressure sensor based on a composite comprising of low-polarity liquid crystal (LPLC), multi-walled carbon nanotube (MWCNT), and polydimethylsiloxane (PDMS) elastomer...
June 8, 2018: Nanomaterials
Peter Düking, Christian Stammel, Billy Sperlich, Shaun Sutehall, Borja Muniz-Pardos, Giscard Lima, Liam Kilduff, Iphigenia Keramitsoglou, Guoping Li, Fabio Pigozzi, Yannis P Pitsiladis
No abstract text is available yet for this article.
June 2018: Current Sports Medicine Reports
Kirsten Huysamen, Valerie Power, Leonard O'Sullivan
The aim of this study was to assess the elongation of the skin surface of the spine for simulated industrial lifting and lowering tasks to aid the design of industrial exoskeletons worn on the back. Eighteen male participants lifted and lowered a box of varying loads (5 kg, 10 kg, 15 kg) using three techniques (squat, semi-squat, stooped) from the ground to a table. Motion capture sensors attached to the spine from C7 to S1 measured movement. Stoop lifting involved significantly more elongation (mean 71...
October 2018: Applied Ergonomics
Akane Sano, Sara Taylor, Andrew W McHill, Andrew Jk Phillips, Laura K Barger, Elizabeth Klerman, Rosalind Picard
BACKGROUND: Wearable and mobile devices that capture multimodal data have the potential to identify risk factors for high stress and poor mental health and to provide information to improve health and well-being. OBJECTIVE: We developed new tools that provide objective physiological and behavioral measures using wearable sensors and mobile phones, together with methods that improve their data integrity. The aim of this study was to examine, using machine learning, how accurately these measures could identify conditions of self-reported high stress and poor mental health and which of the underlying modalities and measures were most accurate in identifying those conditions...
June 8, 2018: Journal of Medical Internet Research
Jose-Luis Bayo-Monton, Antonio Martinez-Millana, Weisi Han, Carlos Fernandez-Llatas, Yan Sun, Vicente Traver
Health and sociological indicators alert that life expectancy is increasing, hence so are the years that patients have to live with chronic diseases and co-morbidities. With the advancement in ICT, new tools and paradigms are been explored to provide effective and efficient health care. Telemedicine and health sensors stand as indispensable tools for promoting patient engagement, self-management of diseases and assist doctors to remotely follow up patients. In this paper, we evaluate a rapid prototyping solution for information merging based on five health sensors and two low-cost ubiquitous computing components: Arduino and Raspberry Pi...
June 6, 2018: Sensors
Jesus Rodriguez-Manzano, Po Ying Chia, Tsin Wen Yeo, Alison Holmes, Pantelis Georgiou, Sophie Yacoub
PURPOSE OF REVIEW: Dengue continues to be a major global public health threat. Symptomatic infections can cause a spectrum of disease ranging from a mild febrile illness to severe and potentially life-threatening manifestations. Management relies on supportive treatment with careful fluid replacement. The purpose of this review is to define the unmet needs and challenges in current dengue diagnostics and patient monitoring and outline potential novel technologies to address these needs...
June 7, 2018: Current Infectious Disease Reports
Yu Pang, Jinming Jian, Tao Tu, Zhen Yang, Jiang Ling, Yuxing Li, Xuefeng Wang, Yancong Qiao, He Tian, Yi Yang, Tian-Ling Ren
Respiration is as one of the most essential physiological signals, which can be used to monitor human healthcare and activities. Herein, we report a flexible, lightweight and highly conductive porous graphene network as the humidity sensor for respiration monitoring. To enhance the sensing performance, the graphene oxide (GO), poly (3, 4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT: PSS) and Ag colloids (AC) were used to modify the porous graphene. The humidity properties of porous based graphene networks have been investigated at different relative humidity (RH)...
May 25, 2018: Biosensors & Bioelectronics
Laura Ozella, Francesco Gesualdo, Michele Tizzoni, Caterina Rizzo, Elisabetta Pandolfi, Ilaria Campagna, Alberto Eugenio Tozzi, Ciro Cattuto
Describing and understanding close proximity interactions between infant and family members can provide key information on transmission opportunities of respiratory infections within households. Among respiratory infections, pertussis represents a public health priority. Pertussis infection can be particularly harmful to young, unvaccinated infants and for these patients, family members represent the main sources of transmission. Here, we report on the use of wearable proximity sensors based on RFID technology to measure face-to-face proximity between family members within 16 households with infants younger than 6 months for 2-5 consecutive days of data collection...
2018: PloS One
Xiaodong Li, Rongwei Wen, Zhong Shen, Zheng Wang, Keith Dip Kei Luk, Yong Hu
This paper presents a wearable and stretchable detector for simultaneous finger joint motion measurement, providing the feasible technical solutions to solve the problems existing in the current devices. The sensor array installed in the detector consists of 14 custom-made bending sensors and an inertial measurement unit with high accuracy. The glove support for a sensor array, which is made of three silicone materials with different elasticity, not only overcomes the drawbacks of cloth support, but also addresses the compatibility between the stretch substrate and the inelastic sensing components...
June 2018: IEEE Transactions on Biomedical Circuits and Systems
Cheikh Latyr Fall, Francis Quevillon, Martine Blouin, Simon Latour, Alexandre Campeau-Lecours, Clement Gosselin, Benoit Gosselin
This paper describes a multimodal body-machine interface (BoMI) to help individuals with upper-limb disabilities using advanced assistive technologies, such as robotic arms. The proposed system uses a wearable and wireless body sensor network (WBSN) supporting up to six sensor nodes to measure the natural upper-body gesture of the users and translate it into control commands. Natural gesture of the head and upper-body parts, as well as muscular activity, are measured using inertial measurement units (IMUs) and surface electromyography (sEMG) using custom-designed multimodal wireless sensor nodes...
June 2018: IEEE Transactions on Biomedical Circuits and Systems
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