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https://www.readbyqxmd.com/read/28106853/significant-change-spotting-for-periodic-human-motion-segmentation-of-cleaning-tasks-using-wearable-sensors
#1
Kai-Chun Liu, Chia-Tai Chan
The proportion of the aging population is rapidly increasing around the world, which will cause stress on society and healthcare systems. In recent years, advances in technology have created new opportunities for automatic activities of daily living (ADL) monitoring to improve the quality of life and provide adequate medical service for the elderly. Such automatic ADL monitoring requires reliable ADL information on a fine-grained level, especially for the status of interaction between body gestures and the environment in the real-world...
January 19, 2017: Sensors
https://www.readbyqxmd.com/read/28106832/plaimos-a-remote-mobile-healthcare-platform-to-monitor-cardiovascular-and-respiratory-variables
#2
Ramses Miramontes, Raúl Aquino, Arturo Flores, Guillermo Rodríguez, Rafael Anguiano, Arturo Ríos, Arthur Edwards
The number of elderly and chronically ill patients has grown significantly over the past few decades as life expectancy has increased worldwide, leading to increased demands on the health care system and significantly taxing traditional health care practices. Consequently, there is an urgent need to use technology to innovate and more constantly and intensely monitor, report and analyze critical patient physiological parameters beyond conventional clinical settings in a more efficient and cost effective manner...
January 19, 2017: Sensors
https://www.readbyqxmd.com/read/28103196/sensor-based-gait-parameter-extraction-with-deep-convolutional-neural-networks
#3
Julius Hannink, Thomas Kautz, Cristian Pasluosta, Karl-Gunter Gassmann, Jochen Klucken, Bjoern Eskofier
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double integration approaches to extract these parameters from inertial sensor data are, however, limited in their clinical applicability due to the underlying assumptions. To overcome this, we present a method to translate the abstract information provided by wearable sensors to context-related expert features based on deep convolutional neural networks. Regarding mobile gait analysis, this enables integration-free and data-driven extraction of a set of eight spatio-temporal stride parameters...
December 8, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28099965/pilot-test-of-a-new-personal-health-system-integrating-environmental-and-wearable-sensors-for-telemonitoring-and-care-of-elderly-people-at-home-smarta-project
#4
Lucia Pigini, Gabriele Bovi, Claudia Panzarino, Valerio Gower, Maurizio Ferratini, Giuseppe Andreoni, Roberto Sassi, Massimo W Rivolta, Maurizio Ferrarin
BACKGROUND: The increase in life expectancy is accompanied by a growing number of elderly subjects affected by chronic comorbidities, a health issue which also implies important socioeconomic consequences. Shifting from hospital or community dwelling care towards a home personalized healthcare paradigm would promote active aging with a better quality of life, along with a reduction in healthcare-related costs. OBJECTIVE: The aim of the SMARTA project was to develop and test an innovative personal health system integrating standard sensors as well as innovative wearable and environmental sensors to allow home telemonitoring of vital parameters and detection of anomalies in daily activities, thus supporting active aging through remote healthcare...
January 19, 2017: Gerontology
https://www.readbyqxmd.com/read/28098831/a-fast-multimodal-ectopic-beat-detection-method-applied-for-blood-pressure-estimation-based-on-pulse-wave-velocity-measurements-in-wearable-sensors
#5
Maik Pflugradt, Kai Geissdoerfer, Matthias Goernig, Reinhold Orglmeister
Automatic detection of ectopic beats has become a thoroughly researched topic, with literature providing manifold proposals typically incorporating morphological analysis of the electrocardiogram (ECG). Although being well understood, its utilization is often neglected, especially in practical monitoring situations like online evaluation of signals acquired in wearable sensors. Continuous blood pressure estimation based on pulse wave velocity considerations is a prominent example, which depends on careful fiducial point extraction and is therefore seriously affected during periods of increased occurring extrasystoles...
January 14, 2017: Sensors
https://www.readbyqxmd.com/read/28098454/high-sensitive-wearable-textile-based-humidity-sensor-made-of-high-strength-single-walled-carbon-nanotube-swcnt-poly-vinyl-alcohol-pva-filaments
#6
Gengheng Zhou, Joon-Hyung Byun, Youngseok Oh, Byung-Mun Jung, Hwa-Jin Cha, Dong Gi Seong, Moon-Kwang Um, Sangil Hyun, Tsu-Wei Chou
Textile-based humidity sensors can be an important component of smart wearable electronic-textiles and have potential applications in the management of wounds, bed-wetting, and skin pathologies or for microclimate control in clothing. Here, we report a wearable textile-based humidity sensor for the first time using high strength (~750 MPa) and ultra-tough (energy-to-break, 4300 J g-1) SWCNT/PVA filaments via a wet-spinning process. The conductive SWCNT networks in the filaments can be modulated by adjusting the intertube distance by swelling the PVA molecular chains via the absorption of water molecules...
January 18, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28098252/flexible-and-wavelength-selective-mos2-phototransistors-with-monolithically-integrated-transmission-color-filters
#7
Geonwook Yoo, Sol Lea Choi, Sang Jin Park, Kyu-Tae Lee, Sanghyun Lee, Min Suk Oh, Junseok Heo, Hui Joon Park
Color-selective or wavelength-tunable capability is a crucial feature for two-dimensional (2-D) semiconducting material-based image sensor applications. Here, we report on flexible and wavelength-selective molybdenum disulfide (MoS2) phototransistors using monolithically integrated transmission Fabry-Perot (F-P) cavity filters. The fabricated multilayer MoS2 phototransistors on a polyarylate substrate exhibit decent electrical characteristics (μFE > 64.4 cm(2)/Vs, on/off ratio > 10(6)), and the integrated F-P filters, being able to cover whole visible spectrum, successfully modulate the spectral response characteristics of MoS2 phototransistors from ~495 nm (blue) to ~590 nm (amber)...
January 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28097597/self-powered-active-sensor-with-concentric-topography-of-piezoelectric-fibers
#8
Yiin Kuen Fuh, Zih Ming Huang, Bo Sheng Wang, Shan Chien Li
In this study, we demonstrated a flexible and self-powered sensor based on piezoelectric fibers in the diameter range of nano- and micro-scales. Our work is distinctively different from previous electrospinning research; we fabricated this apparatus precisely via near-field electrospinning which has a spectacular performance to harvest mechanical deformation in arbitrary direction and a novel concentrically circular topography. There are many piezoelectric devices based on electrospinning polymeric fibers. However, the fibers were mostly patterned in parallel lines and they could be actuated in limited direction only...
December 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/28092510/unobtrusive-and-wearable-systems-for-automatic-dietary-monitoring
#9
Temiloluwa Prioleau, Elliot Moore, Maysam Ghovanloo
The threat of obesity, diabetes, anorexia and bulimia in our society today has motivated extensive research on dietary monitoring. Standard self-report methods such as 24-hour recall and food frequency questionnaires are expensive, burdensome and unrealiable to handle the growing health crisis. Long-term activity monitoring in daily living is a promising approach to provide individuals with quantitative feedback that can encourage healthier habits. Although several studies have attempted automating dietary monitoring using wearable, hand-held, smartobject, and environmental systems, it remains an open research problem...
January 16, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28090606/hierarchical-span-based-conditional-random-fields-for-labeling-and-segmenting-events-in-wearable-sensor-data-streams
#10
Roy J Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin M Marlin
The field of mobile health (mHealth) has the potential to yield new insights into health and behavior through the analysis of continuously recorded data from wearable health and activity sensors. In this paper, we present a hierarchical span-based conditional random field model for the key problem of jointly detecting discrete events in such sensor data streams and segmenting these events into high-level activity sessions. Our model includes higher-order cardinality factors and inter-event duration factors to capture domain-specific structure in the label space...
June 2016: Proceedings of the ... International Conference on Machine Learning
https://www.readbyqxmd.com/read/28090605/domain-adaptation-methods-for-improving-lab-to-field-generalization-of-cocaine-detection-using-wearable-ecg
#11
Annamalai Natarajan, Gustavo Angarita, Edward Gaiser, Robert Malison, Deepak Ganesan, Benjamin M Marlin
Mobile health research on illicit drug use detection typically involves a two-stage study design where data to learn detectors is first collected in lab-based trials, followed by a deployment to subjects in a free-living environment to assess detector performance. While recent work has demonstrated the feasibility of wearable sensors for illicit drug use detection in the lab setting, several key problems can limit lab-to-field generalization performance. For example, lab-based data collection often has low ecological validity, the ground-truth event labels collected in the lab may not be available at the same level of temporal granularity in the field, and there can be significant variability between subjects...
September 2016: Proceedings of the ACM International Conference on Ubiquitous Computing
https://www.readbyqxmd.com/read/28088880/recent-advances-in-light-responsive-on-demand-drug-delivery-systems
#12
Chase S Linsley, Benjamin M Wu
The convergence of wearable sensors and personalized medicine enhance the ability to sense and control the drug composition and dosage, as well as location and timing of administration. To date, numerous stimuli-triggered smart drug-delivery systems have been developed to detect changes in light, pH, temperature, biomolecules, electric field, magnetic field, ultrasound and mechanical forces. This review examines the major advances within the last 5 years for the three most common light-responsive drug delivery-on-demand strategies: photochemical, photoisomerization and photothermal...
February 2017: Therapeutic Delivery
https://www.readbyqxmd.com/read/28080048/wearable-sensors-for-personal-monitoring-and-estimation-of-inhaled-traffic-related-air-pollution-evaluation-of-methods
#13
Evi Dons, Michelle Laeremans, Juan Pablo Orjuela, Ione Avila-Palencia, Glòria Carrasco-Turigas, Tom Cole-Hunter, Esther Anaya-Boig, Arnout Standaert, Patrick De Boever, Tim S Nawrot, Thomas Götschi, Audrey de Nazelle, Mark J Nieuwenhuijsen, Luc Int Panis
Physical activity and ventilation rates have an effect on an individual's dose and may be important to consider in exposure-response relationships; however, these factors are often ignored in environmental epidemiology studies. The aim of this study was to evaluate methods to estimate the inhaled dose of air pollution and understand variability, in the absence of a true gold standard metric. Five types of methods were identified: (1) methods using (physical) activity types; (2) methods based on energy expenditure, METs (metabolic equivalents of task) and oxygen consumption; (3) methods based on heart rate or (4) breathing rate; and (5) methods that combine heart and breathing rate...
January 12, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28075342/trunk-motion-system-tms-using-printed-body-worn-sensor-bws-via-data-fusion-approach
#14
Mohammad Iman Mokhlespour Esfahani, Omid Zobeiri, Behzad Moshiri, Roya Narimani, Mohammad Mehravar, Ehsan Rashedi, Mohamad Parnianpour
Human movement analysis is an important part of biomechanics and rehabilitation, for which many measurement systems are introduced. Among these, wearable devices have substantial biomedical applications, primarily since they can be implemented both in indoor and outdoor applications. In this study, a Trunk Motion System (TMS) using printed Body-Worn Sensors (BWS) is designed and developed. TMS can measure three-dimensional (3D) trunk motions, is lightweight, and is a portable and non-invasive system. After the recognition of sensor locations, twelve BWSs were printed on stretchable clothing with the purpose of measuring the 3D trunk movements...
January 8, 2017: Sensors
https://www.readbyqxmd.com/read/28074645/highly-sensitive-bendable-and-foldable-paper-sensors-based-on-reduced-graphene-oxide
#15
Biswajit Saha, Sangwoong Baek, Junghoon Lee
Over the past decade, the demand for high-performance wearable sensors has increased because of their capability for interaction with humans. Such sensors have typically been prepared on conventional substrates, such as silicon, PDMS, and copper mesh. In this work, we propose a class of wearable sensors fabricated from reduced graphene oxide (rGO) patterned paper substrates (rGO-paper). These rGO-paper sensors are highly sensitive to various deformations and capable of measuring bending and folding angles as small as 0...
January 11, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28071895/flexible-cuttable-and-self-waterproof-bending-strain-sensors-using-microcracked-gold-nanofilms-paper-substrate
#16
Xinqin Liao, Zheng Zhang, Qijie Liang, Qingliang Liao, Yue Zhang
Rapid advances in functional sensing electronics place tremendous demands on innovation towards creative uses of versatile advanced materials and effective designs of device structures. Here, we first report a feasible and effective fabrication strategy to integrate commercial abrasive papers with microcracked gold (Au) nanofilms to construct cuttable and self-waterproof crack-based resistive bending strain sensors. Via introducing surface microstructures, the sensitivities of the bending strain sensors are greatly enhanced by 27 times than that of the sensors without surface microstructures, putting forward an alternative suggestion for other flexible electronics to improve their performances...
January 10, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28062391/personal-health-records-a-systematic-literature-review
#17
REVIEW
Alex Roehrs, Cristiano André da Costa, Rodrigo da Rosa Righi, Kleinner Silva Farias de Oliveira
BACKGROUND: Information and communication technology (ICT) has transformed the health care field worldwide. One of the main drivers of this change is the electronic health record (EHR). However, there are still open issues and challenges because the EHR usually reflects the partial view of a health care provider without the ability for patients to control or interact with their data. Furthermore, with the growth of mobile and ubiquitous computing, the number of records regarding personal health is increasing exponentially...
January 6, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28059063/local-probing-of-magnetoelectric-properties-of-pvdf-fe3o4-electrospun-nanofibers-by-piezoresponse-force-microscopy
#18
Tian Zheng, Zhilian Yue, Gordon G Wallace, Yi Du, Pedro Martins, Senentxu Lanceros-Mendez, Michael J Higgins
The coupling of magnetic and electric properties in polymer-based magnetoelectric composites offers new opportunities to develop contactless electrodes, effectively without electrical connections, for less-invasive integration into devices such as energy harvesters, sensors, wearable and implantable electrodes. Understanding the macroscale-to-nanoscale conversion of the properties is important, as nanostructured and nanoscale magnetoelectric structures are increasingly fabricated. However, whilst the magnetoelectric effect at the macroscale is well established both theoretically and experimentally, it remains unclear how this effect translates to the nanoscale, or vice versa...
January 6, 2017: Nanotechnology
https://www.readbyqxmd.com/read/28056170/self-sterilized-flexible-single-electrode-triboelectric-nanogenerator-for-energy-harvesting-and-dynamic-force-sensing
#19
Huijuan Guo, Tao Li, Xiaotao Cao, Jin Xiong, Yang Jie, Magnus Willander, Xia Cao, Ning Wang, Zhong Lin Wang
Triboelectric nanogenerators (TENGs) offer great opportunities to deploy advanced wearable electronics that integrate a power generator and smart sensor, which eliminates the associated cost and sustainability concerns. Here, an embodiment of such integrated platforms has been presented in a graphene oxide (GO) based single-electrode TENG (S-TENG). The as-designed multifunctional device could not only harvest tiny bits of mechanical energy from ambient movements with a high power density of 3.13 W·m(-2) but also enable detecting dynamic force with an excellent sensitivity of about 388 μA·MPa(-1)...
January 9, 2017: ACS Nano
https://www.readbyqxmd.com/read/28054698/digital-microelectromechanical-sensor-with-an-engineered-polydimethylsiloxane-pdms-bridge-structure
#20
Lingju Meng, Shicheng Fan, Seyed Milad Mahpeykar, Xihua Wang
Functional electronic devices integrated on flexible substrates are of great interest in both academia and industry for their potential applications in wearable technologies. Recently, there have been an increasing number of investigations on developing new materials for flexible strain sensors and pressure sensors, with the aim of achieving better sensitivity and detection ranges. However, the analog signal outputs of these sensors are accompanied with challenges regarding device reproducibility and reliability...
January 19, 2017: Nanoscale
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