keyword
MENU ▼
Read by QxMD icon Read
search

Wearable health devices

keyword
https://www.readbyqxmd.com/read/28538708/accuracy-in-wrist-worn-sensor-based-measurements-of-heart-rate-and-energy-expenditure-in-a-diverse-cohort
#1
Anna Shcherbina, C Mikael Mattsson, Daryl Waggott, Heidi Salisbury, Jeffrey W Christle, Trevor Hastie, Matthew T Wheeler, Euan A Ashley
The ability to measure physical activity through wrist-worn devices provides an opportunity for cardiovascular medicine. However, the accuracy of commercial devices is largely unknown. The aim of this work is to assess the accuracy of seven commercially available wrist-worn devices in estimating heart rate (HR) and energy expenditure (EE) and to propose a wearable sensor evaluation framework. We evaluated the Apple Watch, Basis Peak, Fitbit Surge, Microsoft Band, Mio Alpha 2, PulseOn, and Samsung Gear S2. Participants wore devices while being simultaneously assessed with continuous telemetry and indirect calorimetry while sitting, walking, running, and cycling...
May 24, 2017: Journal of Personalized Medicine
https://www.readbyqxmd.com/read/28535341/fully-stretchable-optoelectronic-sensors-based-on-colloidal-quantum-dots-for-sensing-photoplethysmographic-signals
#2
Tae-Ho Kim, Chang-Seok Lee, Sangwon Kim, Jaehyun Hur, Sangmin Lee, Keun Wook Shin, Young-Zoon Yoon, Moon Kee Choi, Jiwoong Yang, Dae-Hyeong Kim, Taeghwan Hyeon, Seongjun Park, Sungwoo Hwang
Flexible and stretchable optoelectronic devices can be potentially applied in displays, biosensors, biomedicine, robotics, and energy generation. The use of nanomaterials with superior optical properties such as quantum dots (QDs) is important in the realization of wearable displays and biomedical devices, but specific structural design as well as selection of materials should preferentially accompany this technology to realize stretchable forms of these devices. Here, we report stretchable optoelectronic sensors manufactured using colloidal QDs and integrated with elastomeric substrates, whose optoelectronic properties are stable under various deformations...
May 23, 2017: ACS Nano
https://www.readbyqxmd.com/read/28531125/characterizing-dynamic-walking-patterns-and-detecting-falls-with-wearable-sensors-using-gaussian-process-methods
#3
Taehwan Kim, Jeongho Park, Seongman Heo, Keehoon Sung, Jooyoung Park
By incorporating a growing number of sensors and adopting machine learning technologies, wearable devices have recently become a prominent health care application domain. Among the related research topics in this field, one of the most important issues is detecting falls while walking. Since such falls may lead to serious injuries, automatically and promptly detecting them during daily use of smartphones and/or smart watches is a particular need. In this paper, we investigate the use of Gaussian process (GP) methods for characterizing dynamic walking patterns and detecting falls while walking with built-in wearable sensors in smartphones and/or smartwatches...
May 20, 2017: Sensors
https://www.readbyqxmd.com/read/28530204/in-bed-vital-signs-monitoring-system-based-on-unobtrusive-magnetic-induction-method-with-a-concentric-planar-gradiometer
#4
Hadiseh Mahdavi, Javier Rosell-Ferrer
SIGNIFICANCE: Unobtrusive vital signs monitoring is of major importance for various medical areas such as detection and treatment of sleep disorders, monitoring neonates and burned victims, home health care and smart home applications and wearables among others. Such applications call for monitoring methods in which the patient's natural state is less interfered with. An ideal device would be non-invasive, minimally restrictive, robust enough to compensate movements of the patients, and would operate without relying on the patient's full cooperation...
June 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28511689/harnessing-interactive-technologies-to-improve-health-outcomes-in-juvenile-idiopathic-arthritis
#5
REVIEW
Andrea Coda, Dean Sculley, Derek Santos, Xavier Girones, Lucie Brosseau, Derek R Smith, Joshua Burns, Keith Rome, Jane Munro, Davinder Singh-Grewal
BACKGROUND: Children and adolescents with Juvenile Idiopathic Arthritis (JIA) typically have reduced physical activity level and impaired aerobic and anaerobic exercise capacity when compared to their non-JIA counterparts. Low intensity exercise regimens appear to be safe in children with JIA and may results in improvements in overall physical function. Poor adherence to paediatric rheumatology treatment may lead to negative clinical outcomes and possibly increased disease activity. This includes symptoms such as pain, fatigue, quality of life, longer term outcomes including joint damage, as well as increase of healthcare associated costs...
May 16, 2017: Pediatric Rheumatology Online Journal
https://www.readbyqxmd.com/read/28507010/a-systematic-review-of-application-and-effectiveness-of-mhealth-interventions-for-obesity-and-diabetes-treatment-and-self-management
#6
REVIEW
Youfa Wang, Hong Xue, Yaqi Huang, Lili Huang, Dongsong Zhang
The use of mobile and wireless technologies and wearable devices for improving health care processes and outcomes (mHealth) is promising for health promotion among patients with chronic diseases such as obesity and diabetes. This study comprehensively examined published mHealth intervention studies for obesity and diabetes treatment and management to assess their effectiveness and provide recommendations for future research. We systematically searched PubMed for mHealth-related studies on diabetes and obesity treatment and management published during 2000-2016...
May 2017: Advances in Nutrition
https://www.readbyqxmd.com/read/28495352/reliability-of-commercially-available-sleep-and-activity-trackers-with-manual-switch-to-sleep-mode-activation-in-free-living-healthy-individuals
#7
Alexia Gruwez, Walter Libert, Lieveke Ameye, Marie Bruyneel
INTRODUCTION: Wearable health devices have become trendy among consumers, but it is not known whether they accurately measure sleep and physical activity parameters. To address this question, we have studied the measured data of two consumer-level activity monitors (Up Move Jawbone(®) (U) and Withings Pulse 02(®) (W)) and compared it with reference methods for sleep and activity recordings, namely the Bodymedia SenseWear Pro Armband(®) actigraph (SWA) and home-polysomnography (H-PSG)...
June 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28490620/physical-activity-evaluation-in-children-with-congenital-heart-disease
#8
REVIEW
Christine Voss, Kevin C Harris
Significant advances in the management of children with congenital heart disease (CHD) have resulted in marked improvements in survival and life expectancy. Thus, there is an increased emphasis on promoting physical activity to optimise healthy development and long-term cardiovascular health. Evaluation of physical activity levels as part of ongoing clinical care is recommended to facilitate physical activity counselling and/or exercise prescription. Physical activity is a complex health behaviour that is challenging to evaluate...
May 10, 2017: Heart: Official Journal of the British Cardiac Society
https://www.readbyqxmd.com/read/28488834/the-efficacy-of-wearable-activity-tracking-technology-as-part-of-a-weight-loss-program-a-systematic-review
#9
Scott W Cheatham, Kyle R Stull, Mike Fantigrassi, Ian Motel
INTRODUCTION: The world obesity rate has increased over the past two decades. This problem has been linked to inactivity and lack of exercise among individuals which prompted the development of wearable activity tracking technology. This technology is commonly offered as a bracelet, watch, or pendent that provides feedback of daily activity such as total step count, heart rate, and energy expenditure. Despite the popularity of these devices, their efficacy to assist in behavior change and weight loss is still being studied...
May 9, 2017: Journal of Sports Medicine and Physical Fitness
https://www.readbyqxmd.com/read/28487266/assessing-the-impact-of-a-novel-smartphone-application-compared-with-standard-follow-up-on-mobility-of-patients-with-knee-osteoarthritis-following-treatment-with-hylan-g-f-20-a-randomized-controlled-trial
#10
Nebojsa Skrepnik, Andrew Spitzer, Roy Altman, John Hoekstra, John Stewart, Richard Toselli
BACKGROUND: Osteoarthritis (OA) is a leading cause of disability in the United States. Although no disease-modifying therapies exist, patients with knee OA who increase walking may reduce risk of functional limitations. OBJECTIVE: The objective of the study is to evaluate the impact of a mobile app (OA GO) plus wearable activity monitor/pedometer (Jawbone UP 24) used for 90 days on the mobility of patients with knee OA treated with hylan G-F 20. METHODS: Patients with knee OA aged 30 to 80 years who were eligible to receive hylan G-F 20 and were familiar with smartphone technology were enrolled in this randomized, multicenter, open-label study...
May 9, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28479561/a-hybrid-algorithm-for-fall-detection
#11
Serkan Turkeli, Fikri Elmas, Huseyin Tanzer Atay, Kenan Kaan Kurt, Remzi Yalın Sonmez
Falling is a major problem among the people globally, frequently due to some health problems including vision loss or balance disorder as a consequence of aging. As a result of the falling in elder people; injuries, complications, neurological problems and mortality are generally occurred. This situation also affects the patients' families psychologically. A large number of studies show that significant fractures, injuries and in some cases death are commonly encountered in elderly. Nonetheless, in the immediate intervention, the rate of damage is reduced and the life quality can be significantly restored...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28479557/architecture-and-user-context-models-of-cocare-a-context-aware-mobile-recommender-system-for-health-promotion
#12
Gineth Cerón-Rios, Diego M López, Bernd Blobel
Recommender systems (RS) are useful tools for filtering and sorting items and information for users. There is a wide diversity of approaches that help creating personalized recommendations. Context-aware recommender systems (CARS) are a kind of RS which provide adaptation capabilities to the user's environment, e.g., by sensing data through wearable devices or other biomedical sensors. In healthcare and wellbeing, CARS can support health promotion and health education, considering that each individual requires tailored intervention programs...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28479553/a-two-layer-method-for-sedentary-behaviors-classification-using-smartphone-and-bluetooth-beacons
#13
Jesús D Cerón, Diego M López, Christian Hofmann
BACKGROUND: Among the factors that outline the health of populations, person's lifestyle is the more important one. This work focuses on the caracterization and prevention of sedentary lifestyles. A sedentary behavior is defined as "any waking behavior characterized by an energy expenditure of 1.5 METs (Metabolic Equivalent) or less while in a sitting or reclining posture". OBJECTIVE: To propose a method for sedentary behaviors classification using a smartphone and Bluetooth beacons considering different types of classification models: personal, hybrid or impersonal...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28450274/establishing-linkages-between-distributed-survey-responses-and-consumer-wearable-device-datasets-a-pilot-protocol
#14
Julia E Brinton, Mike D Keating, Alexa M Ortiz, Kelly R Evenson, Robert D Furberg
BACKGROUND: As technology increasingly becomes an integral part of everyday life, many individuals are choosing to use wearable technology such as activity trackers to monitor their daily physical activity and other health-related goals. Researchers would benefit from learning more about the health of these individuals remotely, without meeting face-to-face with participants and avoiding the high cost of providing consumer wearables to participants for the study duration. OBJECTIVE: The present study seeks to develop the methods to collect data remotely and establish a linkage between self-reported survey responses and consumer wearable device biometric data, ultimately producing a de-identified and linked dataset...
April 27, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28428979/use-of-consumer-wearable-devices-to-promote-physical-activity-a-review-of-health-intervention-studies
#15
Steven S Coughlin, Jessica Stewart
BACKGROUND: Although many wearable devices for monitoring and tracking physical activity are available to consumers, relatively few research studies have been conducted to determine their efficacy in promoting health. METHODS: In this article, data on the use of consumer wearable devices in promoting healthy behaviors are summarized based upon bibliographic searches in PubMed and Psychology and Behavioral Sciences Collection with relevant search terms through September 2016...
November 2016: Journal of Environment and Health Sciences
https://www.readbyqxmd.com/read/28423421/efficacy-of-some-wearable-devices-compared-with-spray-on-insect-repellents-for-the-yellow-fever-mosquito-aedes-aegypti-l-diptera-culicidae
#16
Stacy D Rodriguez, Hae-Na Chung, Kristina K Gonzales, Julia Vulcan, Yiyi Li, Jorge A Ahumada, Hector M Romero, Mario De La Torre, Fangjun Shu, Immo A Hansen
The current Zika health crisis in the Americas has created an intense interest in mosquito control methods and products. Mosquito vectors of Zika are of the genus Aedes, mainly the yellow fever mosquito, Aedes aegypti. L. The use of repellents to alter mosquito host seeking behavior is an effective method for the prevention of mosquito-borne diseases. A large number of different spray-on repellents and wearable repellent devices are commercially available. The efficacies of many repellents are unknown. This study focuses on the efficacy of eleven different repellents in reducing the number of Ae...
January 1, 2017: Journal of Insect Science
https://www.readbyqxmd.com/read/28403865/implementing-360%C3%A2-quantified-self-for-childhood-obesity-feasibility-study-and-experiences-from-a-weight-loss-camp-in-qatar
#17
Luis Fernandez-Luque, Meghna Singh, Ferda Ofli, Yelena A Mejova, Ingmar Weber, Michael Aupetit, Sahar Karim Jreige, Ahmed Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna
BACKGROUND: The explosion of consumer electronics and social media are facilitating the rise of the Quantified Self (QS) movement where millions of users are tracking various aspects of their daily life using social media, mobile technology, and wearable devices. Data from mobile phones, wearables and social media can facilitate a better understanding of the health behaviors of individuals. At the same time, there is an unprecedented increase in childhood obesity rates worldwide. This is a cause for grave concern due to its potential long-term health consequences (e...
April 13, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28387544/promise-of-wearable-physical-activity-monitors-in-oncology-practice
#18
Muhammad S Beg, Arjun Gupta, Tyler Stewart, Chad D Rethorst
Commercially available physical activity monitors provide clinicians an opportunity to obtain oncology patient health measures to an unprecedented degree. These devices can provide objective and quantifiable measures of physical activity, which are not subject to errors or bias of self-reporting or shorter duration of formal testing. Prior work on so-called quantified-self data was based on older-generation, research-grade accelerometers, which laid the foundation for consumer-based physical activity monitoring devices to be validated as a feasible and reliable tool in patients with cancer...
February 2017: Journal of Oncology Practice
https://www.readbyqxmd.com/read/28384272/a-novel-low-complexity-digital-filter-design-for-wearable-ecg-devices
#19
Shadnaz Asgari, Alireza Mehrnia
Wearable and implantable Electrocardiograph (ECG) devices are becoming prevailing tools for continuous real-time personal health monitoring. The ECG signal can be contaminated by various types of noise and artifacts (e.g., powerline interference, baseline wandering) that must be removed or suppressed for accurate ECG signal processing. Limited device size, power consumption and cost are critical issues that need to be carefully considered when designing any portable health monitoring device, including a battery-powered ECG device...
2017: PloS One
https://www.readbyqxmd.com/read/28375728/personal-sensing-understanding-mental-health-using-ubiquitous-sensors-and-machine-learning
#20
David C Mohr, Mi Zhang, Stephen M Schueller
Sensors in everyday devices, such as our phones, wearables, and computers, leave a stream of digital traces. Personal sensing refers to collecting and analyzing data from sensors embedded in the context of daily life with the aim of identifying human behaviors, thoughts, feelings, and traits. This article provides a critical review of personal sensing research related to mental health, focused principally on smartphones, but also including studies of wearables, social media, and computers. We provide a layered, hierarchical model for translating raw sensor data into markers of behaviors and states related to mental health...
May 8, 2017: Annual Review of Clinical Psychology
keyword
keyword
111168
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"