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Sensors, wearables

B Hu, P C Dixon, J V Jacobs, J T Dennerlein, J M Schiffman
The aim of this study was to investigate if a machine learning algorithm utilizing triaxial accelerometer, gyroscope, and magnetometer data from an inertial motion unit (IMU) could detect surface- and age-related differences in walking. Seventeen older (71.5 ± 4.2 years) and eighteen young (27.0 ± 4.7 years) healthy adults walked over flat and uneven brick surfaces wearing an inertial measurement unit (IMU) over the L5 vertebra. IMU data were binned into smaller data segments using 4-s sliding windows with 1-s step lengths...
January 12, 2018: Journal of Biomechanics
Amir Baghdadi, Fadel M Megahed, Ehsan T Esfahani, Lora A Cavuoto
The purpose of this study is to provide a method for classifying non-fatigued versus fatigued states following manual material handling. A method of template matching pattern recognition for feature extraction (1$ Recognizer) along with the support vector machine (SVM) model for classification were applied on the kinematics of gait cycles segmented by our stepwise search-based segmentation algorithm. A single inertial measurement unit (IMU) on the ankle was used, providing a minimally intrusive and inexpensive tool for monitoring...
February 16, 2018: Ergonomics
Devangsingh Sankhala, Sriram Muthukumar, Shalini Prasad
A four-channel electrochemical impedance spectroscopy (EIS) analyzer module has been demonstrated on flexible chemi-impedance sensors fabricated with gold electrodes for wearable applications. The module can perform time division multiplexed (TDM) impedance measurements on four sensors at 1 kHz. In this work, we characterize the system for the detection of cortisol in an ultralow volume (1-3 µL) of perspired human sweat, sensor performance, and effects during continuous cortisol dosing and with pH and temperature variations expected on the surface of the skin that would be representative of use conditions as seen by a wearable device...
February 1, 2018: SLAS Technology
Kai Li, Hong Wei, Wenguang Liu, Hong Meng, Peixin Zhang, Chaoyi Yan
Developments of innovative strategies for the fabrication of stretchable sensors are of crucial importance for their applications in wearable electronic systems. In this work, we report the successful fabrication of stretchable capacitive sensors using a novel 3D printing method for highly sensitive tactile and electrochemical sensing applications. Unlike conventional lithographic or templated methods, the programmable 3D printing technique can fabricate complex device structures in a cost-effective and facile manner...
February 15, 2018: Nanotechnology
Panagiotis Tsinganos, Athanassios Skodras
In the context of the ageing global population, researchers and scientists have tried to find solutions to many challenges faced by older people. Falls, the leading cause of injury among elderly, are usually severe enough to require immediate medical attention; thus, their detection is of primary importance. To this effect, many fall detection systems that utilize wearable and ambient sensors have been proposed. In this study, we compare three newly proposed data fusion schemes that have been applied in human activity recognition and fall detection...
February 14, 2018: Sensors
Seon-Jin Choi, Hayoung Yu, Ji-Soo Jang, Min-Hyeok Kim, Sang-Joon Kim, Hyeon Su Jeong, Il-Doo Kim
Humidity sensors are essential components in wearable electronics for monitoring of environmental condition and physical state. In this work, a unique humidity sensing layer composed of nitrogen-doped reduced graphene oxide (nRGO) fiber on colorless polyimide film is proposed. Ultralong graphene oxide (GO) fibers are synthesized by solution assembly of large GO sheets assisted by lyotropic liquid crystal behavior. Chemical modification by nitrogen-doping is carried out under thermal annealing in H2(4%)/N2(96%) ambient to obtain highly conductive nRGO fiber...
February 14, 2018: Small
Parikshit Sahatiya, Anand Kadu, Harshit Gupta, P Thanga Gomathi, Sushmee Badhulika
Multifunctional sensors responding to different chemical stimuli fabricated using functional nanomaterials still remains a challenge due to the usage of same sensor multiple times for different sensing and unreliable frontend processing of the sensing data. This challenge is intensified by the lack of suitable techniques for fabricating disposable sensors which are integrated to smartphone with a dedicated application developed for each sensing. A novel MoS2/Cu2S hybrid grown on disposable cellulose paper by hydrothermal method is reported for its utilization in humidity, temperature and breath sensing and ethanol adulteration wherein the data can be wirelessly transmitted to smartphone with dedicated application module for each sensing...
February 14, 2018: ACS Applied Materials & Interfaces
Jinhui Li, Qiang Liu, Derek Ho, Songfang Zhao, Shuwen Wu, Lei Ling, Fei Han, Xinxiu Wu, Guoping Zhang, Rong Sun, Ching-Ping Wong
Wearable electronics with excellent stretchability and sensitivity have emerged as a very promising field with wide applications such as e-skin and human motion detection. Although three-dimensional (3D) graphene structures (GS) have been reported for high performance strain sensors, challenges still remain such as the high cost of GS preparation, low stretchability, as well as the lack of ability to heal itself. In this paper, we reported a novel self-healing flexible electronic with 3D GS based on Diels-Alder (DA) chemistry...
February 13, 2018: ACS Applied Materials & Interfaces
Ahmed Hassoon, Jennifer Schrack, Daniel Naiman, Dina Lansey, Yasmin Baig, Vered Stearns, David Celentano, Seth Martin, Lawrence Appel
BACKGROUND: Physical activity has established health benefits, but motivation and adherence remain challenging. OBJECTIVE: We designed and launched a three-arm randomized trial to test artificial intelligence technology solutions to increase daily physical activity in cancer survivors. METHODS: A single-center, three-arm randomized clinical trial with an allocation ration of 1:1:1: (A) control, in which participants are provided written materials about the benefits of physical activity; (B) text intervention, where participants receive daily motivation from a fully automated, data-driven algorithmic text message via mobile phone (Coachtext); and (C) Voice Assist intervention, where participants are provided with an in-home on demand autonomous Intelligent Agent using data driven Interactive Digital Voice Assist on the Amazon Alexa/Echo (MyCoach)...
February 12, 2018: JMIR Research Protocols
Xin Wang, Jinfeng Li, Haonan Song, Helen Huang, Jan Gou
Strain sensors that are capable of monitoring complex human motions with high accuracy are highly desirable for developing wearable electronics. This paper reports the fabrication of highly stretchable and sensitive multi-directional strain sensors with tunable strain gauge factors by employing a digitally controlled printer to incorporate carbon nanotube (CNT) layers into polydimethylsiloxane (PDMS) substrate. The fabricated sensors exhibit a high stretchability (up to 45%) and sensitivity with a gauge factor of 35...
February 12, 2018: ACS Applied Materials & Interfaces
Nagaraj Hegde, Ting Zhang, Gitendra Uswatte, Edward Taub, Joydip Barman, Staci McKay, Andrea Taylor, David M Morris, Angi Griffin, Edward S Sazonov
Cerebral palsy (CP) is a group of nonprogressive neuro-developmental conditions occurring in early childhood that causes movement disorders and physical disability. Measuring activity levels and gait patterns is an important aspect of CP rehabilitation programs. Traditionally, such programs utilize commercially available laboratory systems, which cannot to be utilized in community living. In this study, a novel, shoe-based, wearable sensor system (pediatric SmartShoe) was tested on 11 healthy children and 10 children with CP to validate its use for monitoring of physical activity and gait...
February 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Dongni Johansson, Kristina Malmgren, Margit Alt Murphy
OBJECTIVES: Wearable technology is increasingly used to monitor neurological disorders. The purpose of this systematic review was to synthesize knowledge from quantitative and qualitative clinical researches using wearable sensors in epilepsy, Parkinson's disease (PD), and stroke. METHODS: A systematic literature search was conducted in PubMed and Scopus spanning from 1995 to January 2017. A synthesis of the main findings, reported adherence to wearables and missing data from quantitative studies, is provided...
February 9, 2018: Journal of Neurology
N Lapierre, N Neubauer, A Miguel-Cruz, A Rios Rincon, L Liu, J Rousseau
BACKGROUND: Globally, populations are aging with increasing life spans. The normal aging process and the resulting disabilities increase fall risks. Falls are an important cause of injury, loss of independence and institutionalization. Technologies have been developed to detect falls and reduce their consequences but their use and impact on quality of life remain debatable. Reviews on fall detection technologies exist but are not extensive. A comprehensive literature review on the state of knowledge of fall detection technologies can inform research, practice, and user adoption...
March 2018: International Journal of Medical Informatics
Jaswandi Tushar Pitale, John H Bolte
Background: Cerebral palsy (CP) is a developmental disorder of movement and posture that occurs due to damage to the developing nervous system. As part of therapy, wearable sensors that trigger interactive feedback may provide multi-sensory guidance and motivation. A prototype of a heel-strike real-time feedback system has been developed which records the number of heel strikes during gait and indicates successful heel contact through real-time auditory feedback. The first aim of this feasibility study was to test the prototype accuracy...
2018: Pilot and Feasibility Studies
Jaejoon Song, Michael D Swartz, Kelley Pettee Gabriel, Karen Basen-Engquist
Wearable sensors provide an exceptional opportunity in collecting real-time behavioral data in free living conditions. However, wearable sensor data from observational studies often suffer from information bias, since participants' willingness to wear the monitoring devices may be associated with the underlying behavior of interest. The aim of this study was to introduce a semiparametric statistical approach for modeling wearable sensor-based physical activity monitoring data with informative device wear. Our simulation study indicated that estimates from the generalized estimating equations showed ignorable bias when device wear patterns were independent of the participants physical activity process, but incrementally more biased when the patterns of device non-wear times were increasingly associated with the physical activity process...
February 5, 2018: Biostatistics
Dung Phan, Malcolm Horne, Pubudu N Pathirana, Parisa Farzanehfar
Axial Bradykinesia is an important feature of advanced Parkinson's disease (PD). The purpose of this study is to quantify axial bradykinesia using wearable sensors with the long-term aim of quantifying these movements, while the subject performs routine domestic activities. We measured back movements during common daily activities such as pouring, pointing, walking straight and walking around a chair with a test system engaging a minimal number of Inertial Measurement (IM) based wearable sensors. Participants included controls and PD patients whose rotation and flexion of the back was captured by the time delay between motion signals from sensors attached to the upper and lower back...
February 7, 2018: Sensors
Xiandi Wang, Yufei Zhang, Xiaojia Zhang, Zhihao Huo, Xiaoyi Li, Miaoling Que, Zhengchun Peng, Hui Wang, Caofeng Pan
Recently, the quest for new highly stretchable transparent tactile sensors with large-scale integration and rapid response time continues to be a great impetus to research efforts to expand the promising applications in human-machine interactions, artificial electronic skins, and smart wearable equipment. Here, a self-powered, highly stretchable, and transparent triboelectric tactile sensor with patterned Ag-nanofiber electrodes for detecting and spatially mapping trajectory profiles is reported. The Ag-nanofiber electrodes demonstrate high transparency (>70%), low sheet resistance (1...
February 7, 2018: Advanced Materials
Ju Hyun Oh, Soo Yeong Hong, Heun Park, Sang Woo Jin, Yu Ra Jeong, Seung Yun Oh, Junyeong Yun, Hanchan Lee, Jung Wook Kim, Jeong Sook Ha
In this study, we demonstrate a fabrication of highly sensitive flexible temperature sensor with a bioinspired octopus-mimicking adhesive. A resistor-type temperature sensor consisting of a composite of poly(N isopropylacrylamide) (pNIPAM)-temperature sensitive hydrogel, poly(3,4 ethylenedioxythiophene) polystyrene sulfonate, and carbon nanotubes, exhibits a very high thermal sensitivity of 2.6%•ºC-1 between 25 and 40 °C so that the change in skin temperature of 0.5 °C can be accurately detected. At the same time, the polydimethylsiloxane adhesive layer of octopus-mimicking rim structure coated with pNIPAM, is fabricated through the formation of a single mold by utilizing undercut phenomenon in photolithography...
February 5, 2018: ACS Applied Materials & Interfaces
Deepak P Dubal, Nilesh R Chodankar, Do-Heyoung Kim, Pedro Gomez-Romero
Flexible solid-state supercapacitors (FSSCs) are frontrunners in energy storage device technology and have attracted extensive attention owing to recent significant breakthroughs in modern wearable electronics. In this study, we review the state-of-the-art advancements in FSSCs to provide new insights on mechanisms, emerging electrode materials, flexible gel electrolytes and novel cell designs. The review begins with a brief introduction on the fundamental understanding of charge storage mechanisms based on the structural properties of electrode materials...
February 5, 2018: Chemical Society Reviews
Christine Vinci, Aaron Haslam, Cho Y Lam, Santosh Kumar, David W Wetter
Ambulatory assessment of smoking behavior has greatly advanced our knowledge of the smoking cessation process. The current article first provides a brief overview of ecological momentary assessment for smoking cessation and highlights some of the primary advantages and scientific advancements made from this data collection method. Next, a discussion of how certain data collection tools (i.e., smoking topography and carbon monoxide detection) that have been traditionally used in lab-based settings are now being used to collect data in the real world...
February 2, 2018: Addictive Behaviors
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