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Wearable Health

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https://www.readbyqxmd.com/read/28901746/a-lab-on-skin-a-review-of-flexible-and-stretchable-electronics-for-wearable-health-monitoring
#1
Yuhao Liu, Matt Pharr, Giovanni Antonio Salvatore
Skin is the largest organ of the human body, and it offers a diagnostic interface rich with vital biological signals from the inner organs, blood vessels, muscles, and dermis/epidermis. Soft, flexible, and stretchable electronic devices provide a novel platform to interface with soft tissues for robotic feedback and control, regenerative medicine, and continuous health monitoring. Here, we introduce the term "lab-on-skin" to describe a set of electronic devices that have physical properties, such as thickness, thermal mass, elastic modulus, and water-vapor permeability, which resemble those of the skin...
September 13, 2017: ACS Nano
https://www.readbyqxmd.com/read/28898435/wearable-slot-antenna-at-2-45%C3%A2-ghz-for-off-body-radiation-analysis-of-efficiency-frequency-shift-and-body-absorption
#2
Marta Fernandez, Hugo G Espinosa, David V Thiel, Amaia Arrinda
The interaction of body-worn antennas with the human body causes a significant decrease in antenna efficiency and a shift in resonant frequency. A resonant slot in a small conductive box placed on the body has been shown to reduce these effects. The specific absorption rate is less than international health standards for most wearable antennas due to small transmitter power. This paper reports the linear relationship between power absorbed by biological tissues at different locations on the body and radiation efficiency based on numerical modeling (r = 0...
September 12, 2017: Bioelectromagnetics
https://www.readbyqxmd.com/read/28891284/a-highly-stretchable-nanofiber-based-electronic-skin-with-pressure-strain-and-flexion-sensitive-properties-for-health-and-motion-monitoring
#3
Kun Qi, Jianxin He, Hongbo Wang, Yuman Zhou, Xiaolu You, Nan Nan, Weili Shao, Lidan Wang, Bin Ding, Shizhong Cui
The development of flexible and stretchable electronic skins that can mimic the complex characteristics of natural skin is of great value for applications in human motion detection, healthcare, speech recognition, and robotics. In this work, we propose an efficient and low-cost fabrication strategy to construct a highly sensitive and stretchable electronic skin that enables the detection of dynamic and static pressure, strain, and flexion based on an elastic graphene oxide(GO) doped polyurethane (PU) nanofiber membrane with an ultrathin conductive poly(3,4-ethylenedioxythiophene) (PEDOT) coating layer...
September 11, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28890355/impact-of-a-workplace-physical-activity-tracking-program-on-biometric-health-outcomes
#4
Jiani Yu, Jean M Abraham, Bryan Dowd, Lucas F Higuera, John A Nyman
Wellness programs are a popular strategy utilized by large U.S. employers. As mobile health applications and wearable tracking devices increase in prevalence, many employers now offer physical activity tracking applications. This longitudinal study evaluates the impact of engagement with a web-based, physical activity tracking program on changes in individuals' biometric outcomes in an employer population. The study population includes active employees and adult dependents continuously enrolled in an eligible health plan and who have completed at least two biometric screenings (n=36,882 person-years with 11,436 unique persons) between 2011 and 2014...
September 8, 2017: Preventive Medicine
https://www.readbyqxmd.com/read/28888556/telehealth-in-older-adults-with-cancer-in-the-united-states-the-emerging-use-of-wearable-sensors
#5
REVIEW
John Shen, Arash Naeim
As the aging and cancer populations in the world continue to increase, the need for complements to traditional geriatric assessments and the logical incorporation of fast and reliable telehealth tools have become interlinked. In the United States, studies examining the use of telehealth for chronic disease management have shown promising results in small groups. The implementation of health technology on a broader scale requires older adults to both accept and adapt such innovation into routine medical care...
September 6, 2017: Journal of Geriatric Oncology
https://www.readbyqxmd.com/read/28887351/using-predictive-analytics-and-big-data-to-optimize-pharmaceutical-outcomes
#6
Inmaculada Hernandez, Yuting Zhang
PURPOSE: The steps involved, the resources needed, and the challenges associated with applying predictive analytics in healthcare are described, with a review of successful applications of predictive analytics in implementing population health management interventions that target medication-related patient outcomes. SUMMARY: In healthcare, the term big data typically refers to large quantities of electronic health record, administrative claims, and clinical trial data as well as data collected from smartphone applications, wearable devices, social media, and personal genomics services; predictive analytics refers to innovative methods of analysis developed to overcome challenges associated with big data, including a variety of statistical techniques ranging from predictive modeling to machine learning to data mining...
September 15, 2017: American Journal of Health-system Pharmacy: AJHP
https://www.readbyqxmd.com/read/28872765/digital-therapy-in-diabetes
#7
REVIEW
Avivit Cahn, Amit Akirov, Itamar Raz
Diabetes care is largely dependent on patient self-management and empowerment, given that patients with diabetes must make numerous daily decisions of what to eat, when to exercise, and determine their insulin dose and timing if required. Additionally, patients and providers are generating vast amounts of data from many sources including electronic medical records, insulin pumps, sensors, glucometers, other wearables, as well as evolving genomic, proteomic, metabolomic and microbiomic data. Multiple digital tools and apps have been developed to assist patients to choose wisely, as well as enhance their compliance by employing motivational tools and incorporating incentives from social media and gaming techniques...
September 5, 2017: Journal of Diabetes
https://www.readbyqxmd.com/read/28863247/self-powered-pulse-sensor-for-antidiastole-of-cardiovascular-disease
#8
Han Ouyang, Jingjing Tian, Guanglong Sun, Yang Zou, Zhuo Liu, Hu Li, Luming Zhao, Bojing Shi, Yubo Fan, Yifan Fan, Zhong Lin Wang, Zhou Li
Cardiovascular diseases are the leading cause of death globally; fortunately, 90% of cardiovascular diseases are preventable by long-term monitoring of physiological signals. Stable, ultralow power consumption, and high-sensitivity sensors are significant for miniaturized wearable physiological signal monitoring systems. Here, this study proposes a flexible self-powered ultrasensitive pulse sensor (SUPS) based on triboelectric active sensor with excellent output performance (1.52 V), high peak signal-noise ratio (45 dB), long-term performance (10(7) cycles), and low cost price...
September 1, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28858782/acoustical-emission-analysis-by-unsupervised-graph-mining-a-novel-biomarker-of-knee-health-status
#9
Sinan Hersek, Maziyar Baran Pouyan, Caitlin N Teague, Michael N Sawka, Mindy L Millard-Stafford, Geza F Kogler, Paul Wolkoff, Omer T Inan
OBJECTIVE: To study knee acoustical emission patterns in subjects with acute knee injury immediately following injury and several months after surgery and rehabilitation. METHODS: We employed an unsupervised graph mining algorithm to visualize heterogeneity of the high-dimensional acoustical emission data, and to then derive a quantitative metric capturing this heterogeneity - the graph community factor (GCF). A total of 42 subjects participated in the studies. Measurements were taken once each from 33 healthy subjects with no known previous knee injury, and twice each from 9 subjects with unilateral knee injury: first, within seven days of the injury, and second, 4-6 months after surgery when the subjects were determined ready to start functional activities...
August 29, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28858781/epidermal-electrode-technology-for-detecting-ultrasonic-perturbation-of-sensory-brain-activity
#10
Stanley Huang, Jonathan A N Fisher, Meijun Ye, Yun-Soung Kim, Rui Ma, Marjan Nabili, Victor Krauthamer, Matthew R Myers, Todd P Coleman, Cristin G Welle
OBJECTIVE: We aim to demonstrate the in vivo capability of a wearable sensor technology to detect localized perturbations of sensory-evoked brain activity. METHODS: Cortical somatosensory evoked potentials (SSEPs) were recorded in mice via wearable, flexible epidermal electrode arrays. We then utilized the sensors to explore the effects of transcranial focused ultrasound, which noninvasively induced neural perturbation. SSEPs recorded with flexible epidermal sensors were quantified and benchmarked against those recorded with invasive epidural electrodes...
August 29, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28855146/categorizing-health-outcomes-and-efficacy-of-mhealth-apps-for-persons-with-cognitive-impairment-a-systematic-review
#11
REVIEW
Daniel R Bateman, Bhavana Srinivas, Thomas W Emmett, Titus K Schleyer, Richard J Holden, Hugh C Hendrie, Christopher M Callahan
BACKGROUND: Use of mobile health (mHealth) apps is growing at an exponential rate in the United States and around the world. Mild cognitive impairment (MCI), Alzheimer disease, and related dementias are a global health problem. Numerous mHealth interventions exist for this population, yet the effect of these interventions on health has not been systematically described. OBJECTIVE: The aim of this study is to catalog the types of health outcomes used to measure effectiveness of mHealth interventions and assess which mHealth interventions have been shown to improve the health of persons with MCI, Alzheimer disease, and dementia...
August 30, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28846613/method-for-estimating-three-dimensional-knee-rotations-using-two-inertial-measurement-units-validation-with-a-coordinate-measurement-machine
#12
Rachel V Vitali, Stephen M Cain, Ryan S McGinnis, Antonia M Zaferiou, Lauro V Ojeda, Steven P Davidson, Noel C Perkins
Three-dimensional rotations across the human knee serve as important markers of knee health and performance in multiple contexts including human mobility, worker safety and health, athletic performance, and warfighter performance. While knee rotations can be estimated using optical motion capture, that method is largely limited to the laboratory and small capture volumes. These limitations may be overcome by deploying wearable inertial measurement units (IMUs). The objective of this study is to present a new IMU-based method for estimating 3D knee rotations and to benchmark the accuracy of the results using an instrumented mechanical linkage...
August 27, 2017: Sensors
https://www.readbyqxmd.com/read/28838886/smartphone-enabled-health-coaching-intervention-imove-to-promote-long-term-maintenance-of-physical-activity-in-breast-cancer-survivors-protocol-for-a-feasibility-pilot-randomized-controlled-trial
#13
Paul Ritvo, Maya Obadia, Daniel Santa Mina, Shabbir Alibhai, Catherine Sabiston, Paul Oh, Kristin Campbell, David McCready, Leslie Auger, Jennifer Michelle Jones
BACKGROUND: Although physical activity has been shown to contribute to long-term disease control and health in breast cancer survivors, a majority of breast cancer survivors do not meet physical activity guidelines. Past research has focused on promoting physical activity components for short-term breast cancer survivor benefits, but insufficient attention has been devoted to long-term outcomes and sustained exercise adherence. We are assessing a health coach intervention (iMOVE) that uses mobile technology to increase and sustain physical activity maintenance in initially inactive breast cancer survivors...
August 24, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28837773/wearable-electrocardiogram-monitor-using-carbon-nanotube-electronics-and-color-tunable-organic-light-emitting-diodes
#14
Ja Hoon Koo, Seongjin Jeong, Hyung Joon Shim, Donghee Son, Jaemin Kim, Dong Chan Kim, Suji Choi, Jong-In Hong, Dae-Hyeong Kim
With the rapid advances in wearable electronics, the research on carbon-based and/or organic materials and devices has become increasingly important, owing to their advantages in terms of cost, weight, and mechanical deformability. Here, we report an effective material and device design for an integrative wearable cardiac monitor based on carbon nanotube (CNT) electronics and voltage-dependent color-tunable organic light-emitting diodes (CTOLEDs). A p-MOS inverter based on four CNT transistors allows high amplification and thereby successful acquisition of the electrocardiogram (ECG) signals...
August 28, 2017: ACS Nano
https://www.readbyqxmd.com/read/28835518/a-lower-extremity-exoskeleton-improves-knee-extension-in-children-with-crouch-gait-from-cerebral-palsy
#15
Zachary F Lerner, Diane L Damiano, Thomas C Bulea
The ability to walk contributes considerably to physical health and overall well-being, particularly in children with motor disability, and is therefore prioritized as a rehabilitation goal. However, half of ambulatory children with cerebral palsy (CP), the most prevalent childhood movement disorder, cease to walk in adulthood. Robotic gait trainers have shown positive outcomes in initial studies, but these clinic-based systems are limited to short-term programs of insufficient length to maintain improved function in a lifelong disability such as CP...
August 23, 2017: Science Translational Medicine
https://www.readbyqxmd.com/read/28833673/wearable-microfluidic-diaphragm-pressure-sensor-for-health-and-tactile-touch-monitoring
#16
Yuji Gao, Hiroki Ota, Ethan W Schaler, Kevin Chen, Allan Zhao, Wei Gao, Hossain M Fahad, Yonggang Leng, Anzong Zheng, Furui Xiong, Chuchu Zhang, Li-Chia Tai, Peida Zhao, Ronald S Fearing, Ali Javey
Flexible pressure sensors have many potential applications in wearable electronics, robotics, health monitoring, and more. In particular, liquid-metal-based sensors are especially promising as they can undergo strains of over 200% without failure. However, current liquid-metal-based strain sensors are incapable of resolving small pressure changes in the few kPa range, making them unsuitable for applications such as heart-rate monitoring, which require a much lower pressure detection resolution. In this paper, a microfluidic tactile diaphragm pressure sensor based on embedded Galinstan microchannels (70 µm width × 70 µm height) capable of resolving sub-50 Pa changes in pressure with sub-100 Pa detection limits and a response time of 90 ms is demonstrated...
August 18, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28829323/channel-deviation-based-power-control-in-body-area-networks
#17
Son Dinh Van, Simon L Cotton, David B Smith
Internet enabled body area networks (BANs) will form a core part of future remote health monitoring and Ambient Assisted Living (AAL) technology. In BAN applications, due to the dynamic nature of human activity, the off-body BAN channel can be prone to deep fading caused by body shadowing and multipath fading. Using this knowledge, we present some novel practical adaptive power control protocols based on the channel deviation to simultaneously prolong the lifetime of wearable devices and reduce outage probability...
August 18, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28816683/cardiorespiratory-model-based-data-driven-approach-for-sleep-apnea-detection
#18
Sandeep Gutta, Qi Cheng, Hoa Nguyen, Bruce Benjamin
Obstructive sleep apnea (OSA) is a chronic sleep disorder affecting millions of people worldwide. Individuals with OSA are rarely aware of the condition and are often left untreated, which can lead to some serious health problems. Nowadays, several low-cost wearable health sensors are available that can be used to conveniently and noninvasively collect a wide range of physiological signals. In this paper, we propose a new framework for OSA detection in which we combine the wearable sensor measurement signals with the mathematical models of the cardiorespiratory system...
August 14, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28814015/postoperative-healing-patterns-in-elbow-using-electromyography-towards-the-development-of-a-wearable-mechatronic-elbow-brace
#19
Raneem Haddara, Yue Zhou, Shrikant Chinchalkar, Ana Luisa Trejos
Musculoskeletal (MSK) conditions are the most common cause of severe long-term pain and physical disability. Current postoperative treatment for patients requires them to follow a long-term physiotherapy program customized for each specific case; however, this process can be complex, time-consuming and without the right therapy it may end up being ineffective. A possible solution involves the development of wearable mechatronic elbow braces that use electromyography (EMG) to identify patient intent. However, EMG characteristics change based on the health of the individual and therefore require further investigation...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813990/a-learning-based-agent-for-home-neurorehabilitation
#20
Andreas Lydakis, Yuanliang Meng, Christopher Munroe, Yi-Ning Wu, Momotaz Begum
This paper presents the iterative development of an artificially intelligent system to promote home-based neurorehabilitation. Although proper, structured practice of rehabilitation exercises at home is the key to successful recovery of motor functions, there is no home-program out there which can monitor a patient's exercise-related activities and provide corrective feedback in real time. To this end, we designed a Learning from Demonstration (LfD) based home-rehabilitation framework that combines advanced robot learning algorithms with commercially available wearable technologies...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
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