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https://www.readbyqxmd.com/read/28537437/-it-is-definitely-a-game-changer-a-qualitative-study-of-experiences-with-in-home-overnight-closed-loop-technology-among-adults-with-type-1-diabetes
#1
Christel Hendrieckx, Lucinda A Poole, Amin Sharifi, Dilshani Jayawardene, Margaret M Loh, Jodie C Horsburgh, Leon A Bach, Peter G Colman, Kavita Kumareswaran, Alicia J Jenkins, Richard J MacIsaac, Glenn M Ward, Benyamin Grosman, Anirban Roy, David N O'Neal, Jane Speight
BACKGROUND: This qualitative study explored trial participants' experiences of four nights of in-home closed loop. METHODS: Sixteen adults with type 1 diabetes, who completed a randomized crossover trial, were interviewed after four consecutive nights of closed-loop. Interviews were audio recorded, transcribed, and analyzed with a coding framework developed to identify the main themes. RESULTS: Participants had a mean age of 42 ± 10 years, nine were women; mean diabetes duration was 27 ± 7 years, and all were using insulin pumps...
May 24, 2017: Diabetes Technology & Therapeutics
https://www.readbyqxmd.com/read/28531157/hybrid-aware-model-for-senior-wellness-service-in-smart-home
#2
Yuchae Jung
Smart home technology with situation-awareness is important for seniors to improve safety and security. With the development of context-aware computing, wearable sensor technology, and ubiquitous computing, it is easier for seniors to manage their health problem in smart home environment. For monitoring senior activity in smart home, wearable, and motion sensors-such as respiration rate (RR), electrocardiography (ECG), body temperature, and blood pressure (BP)-were used for monitoring movements of seniors. For context-awareness, environmental sensors-such as gas, fire, smoke, dust, temperature, and light sensors-were used for senior location data collection...
May 22, 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
#3
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/28526666/a-smart-toy-to-enhance-the-decision-making-process-at-children-s-psychomotor-delay-screenings-a-pilot-study
#4
María Angeles Gutiérrez García, María Luisa Martín Ruiz, Diego Rivera, Laura Vadillo, Miguel Angel Valero Duboy
BACKGROUND: EDUCERE ("Ubiquitous Detection Ecosystem to Care and Early Stimulation for Children with Developmental Disorders") is an ecosystem for ubiquitous detection, care, and early stimulation of children with developmental disorders. The objectives of this Spanish government-funded research and development project are to investigate, develop, and evaluate innovative solutions to detect changes in psychomotor development through the natural interaction of children with toys and everyday objects, and perform stimulation and early attention activities in real environments such as home and school...
May 19, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28526665/the-sensor-study-protocol-for-a-mixed-methods-study-of-self-management-checks-to-predict-exacerbations-of-pseudomonas-aeruginosa-in-patients-with-long-term-respiratory-conditions
#5
Claire Roberts, Thomas L Jones, Samal Gunatilake, Will Storrar, Scott Elliott, Sharon Glaysher, Ben Green, Steven Rule, Carole Fogg, Ann Dewey, Kevin A Auton, Anoop J Chauhan
BACKGROUND: There are an estimated three million people in the United Kingdom with chronic obstructive pulmonary disease (COPD), and the incidence of bronchiectasis is estimated at around 0.1% but is more common in COPD and severe asthma. Both COPD and bronchiectasis are characterized by exacerbations in which bacteria play a central role. Pseudomonas aeruginosa is isolated from sputum samples from 4% to 15% of adults with COPD and is more likely to be isolated from patients with severe disease...
May 19, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28525311/telerehabilitation-of-patients-with-injuries-of-the-lower-extremities
#6
Andriy I Tsvyakh, Andriy J Hospodarskyy
INTRODUCTION: Timely access to orthopedic rehabilitation is an important problem for the Ukrainian healthcare system. The international orthopedic community aims to achieve the best possible outcome for patient care by modifying rehabilitation methods and using telemedicine technology. The theme of this article is to discuss the integration of telemedicine technology in the rehabilitation of patients with injuries of the lower extremities. MATERIALS AND METHODS: Consecutive patients were recruited over a 2-year period...
May 19, 2017: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
https://www.readbyqxmd.com/read/28518079/a-method-for-quantifying-upper-limb-performance-in-daily-life-using-accelerometers
#7
Catherine E Lang, Kimberly J Waddell, Joseph W Klaesner, Marghuretta D Bland
A key reason for referral to rehabilitation services after stroke and other neurological conditions is to improve one's ability to function in daily life. It has become important to measure a person's activities in daily life, and not just measure their capacity for activity in the structured environment of a clinic or laboratory. A wearable sensor that is now enabling measurement of daily movement is the accelerometer. Accelerometers are commercially-available devices resembling large wrist watches that can be worn throughout the day...
April 21, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28508791/rehabilitation-risk-management-enabling-data-analytics-with-quantified-self-and-smart-home-data
#8
Andreas Hamper, Isabella Eigner, Nilmini Wickramasinghe, Freimut Bodendorf
A variety of acute and chronic diseases require rehabilitation at home after treatment. Outpatient rehabilitation is crucial for the quality of the medical outcome but is mainly performed without medical supervision. Non-Compliance can lead to severe health risks and readmission to the hospital. While the patient is closely monitored in the hospital, methods and technologies to identify risks at home have to be developed. We analyze state-of-the-art monitoring systems and technologies and show possibilities to transfer these technologies into rehabilitation monitoring...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28498339/easy-and-fast-reconstruction-of-a-3d-avatar-with-an-rgb-d-sensor
#9
Aihua Mao, Hong Zhang, Yuxin Liu, Yinglong Zheng, Guiqing Li, Guoqiang Han
This paper proposes a new easy and fast 3D avatar reconstruction method using an RGB-D sensor. Users can easily implement human body scanning and modeling just with a personal computer and a single RGB-D sensor such as a Microsoft Kinect within a small workspace in their home or office. To make the reconstruction of 3D avatars easy and fast, a new data capture strategy is proposed for efficient human body scanning, which captures only 18 frames from six views with a close scanning distance to fully cover the body; meanwhile, efficient alignment algorithms are presented to locally align the data frames in the single view and then globally align them in multi-views based on pairwise correspondence...
May 12, 2017: Sensors
https://www.readbyqxmd.com/read/28487931/advanced-3d-movement-analysis-algorithms-for-robust-functional-capacity-assessment
#10
Asma Hassani, Alexandre Kubicki, France Mourey, Fan Yang
OBJECTIVES: We developed a novel system for in home functional capacities assessment in frail older adults by analyzing the Timed Up and Go movements. This system aims to follow the older people evolution, potentially allowing a forward detection of motor decompensation in order to trigger the implementation of rehabilitation. However, the pre-experimentations conducted on the ground, in different environments, revealed some problems which were related to KinectTM operation. Hence, the aim of this actual study is to develop methods to resolve these problems...
May 10, 2017: Applied Clinical Informatics
https://www.readbyqxmd.com/read/28483744/etest-developing-a-smart-home-hiv-testing-kit-that-enables-active-real-time-follow-up-and-referral-after-testing
#11
Tyler Wray, Philip A Chan, Erik Simpanen, Don Operario
BACKGROUND: Men who have sex with men (MSM) are the group at highest risk for contracting human immunodeficiency virus (HIV) in the United States, but many do not test as frequently as recommended. Home-based self-testing (HBST) for HIV holds promise for promoting regular testing among these individuals, but currently available HBSTs have limited follow-up options, providing only a 1-800 number that participants can call. Failure to actively conduct follow-up counseling and referrals after HBST use could result in delays in seeking confirmatory testing and care among users receiving reactive (preliminary positive) test results...
May 8, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28482748/robotic-and-sensor-technologies-for-mobility-in-older-people
#12
Lazaros Penteridis, Grazia D'Onofrio, Daniele Sancarlo, Francesco Giuliani, Francesco Ricciardi, Filippo Cavallo, Antonio Greco, Ilias Trochidis, Alexander Gkiokas
BACKGROUND: Maintaining independent mobility is fundamental to independent living and to the quality of life of older people. Robotic and sensor technologies may offer a lot of potential and can make a significant difference in the lives of older people and to their primary caregivers. AIM: To provide a presentation of the methods that are used up till now for analysis and evaluation of human mobility utilizing sensor technologies. To give the state of the art in robotic platforms for supporting the older people with mobility limitations...
May 8, 2017: Rejuvenation Research
https://www.readbyqxmd.com/read/28480472/added-value-from-secondary-use-of-person-generated-health-data-in-consumer-health-informatics-contribution-of-the-consumer-health-informatics-imia-working-group
#13
P-Y Hsueh, Y-K Cheung, S Dey, K K Kim, F J Martin-Sanchez, S K Petersen, T Wetter
INTRODUCTION: Various health-related data, subsequently called Person Generated Health Data (PGHD), is being collected by patients or presumably healthy individuals as well as about them as much as they become available as measurable properties in their work, home, and other environments. Despite that such data was originally just collected and used for dedicated predefined purposes, more recently it is regarded as untapped resources that call for secondary use. METHOD: Since the secondary use of PGHD is still at its early evolving stage, we have chosen, in this paper, to produce an outline of best practices, as opposed to a systematic review...
May 8, 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/28471405/unsupervised-machine-learning-for-developing-personalised-behaviour-models-using-activity-data
#14
Laura Fiorini, Filippo Cavallo, Paolo Dario, Alexandra Eavis, Praminda Caleb-Solly
The goal of this study is to address two major issues that undermine the large scale deployment of smart home sensing solutions in people's homes. These include the costs associated with having to install and maintain a large number of sensors, and the pragmatics of annotating numerous sensor data streams for activity classification. Our aim was therefore to propose a method to describe individual users' behavioural patterns starting from unannotated data analysis of a minimal number of sensors and a "blind" approach for activity recognition...
May 4, 2017: Sensors
https://www.readbyqxmd.com/read/28462388/multidimensional-assessment-of-challenging-behaviors-in-advanced-stages-of-dementia-in-nursing-homes-the-insidedem-framework
#15
Stefan Teipel, Christina Heine, Albert Hein, Frank Krüger, Andreas Kutschke, Sven Kernebeck, Margareta Halek, Sebastian Bader, Thomas Kirste
INTRODUCTION: Assessment of challenging behaviors in dementia is important for intervention selection. Here, we describe the technical and experimental setup and the feasibility of long-term multidimensional behavior assessment of people with dementia living in nursing homes. METHODS: We conducted 4 weeks of multimodal sensor assessment together with real-time observation of 17 residents with moderate to very severe dementia in two nursing care units. Nursing staff received extensive training on device handling and measurement procedures...
2017: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
https://www.readbyqxmd.com/read/28459677/continuous-assessment-of-levodopa-response-in-parkinson-s-disease-using-wearable-motion-sensors
#16
Christopher L Pulliam, Dustin A Heldman, Elizabeth B Brokaw, Thomas O Mera, Zoltan K Mari, Michelle A Burack
OBJECTIVE: Fluctuations in response to levodopa in Parkinson's disease (PD) are difficult to treat as tools to monitor temporal patterns of symptoms are hampered by several challenges. The objective was to use wearable sensors to quantify the dose response of tremor, bradykinesia, and dyskinesia in individuals with PD. METHODS: Thirteen individuals with PD and fluctuating motor benefit were instrumented with wrist and ankle motion sensors and recorded by video. Kinematic data were recorded as subjects completed a series of activities in a simulated home environment through transition from OFF to ON medication...
April 25, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28451305/responsive-hetero-organelle-partition-conferred-fluorogenic-sensing-of-mitochondrial-depolarization
#17
Zhongwei Xue, Hu Zhao, Jian Liu, Jiahuai Han, Shoufa Han
Malfunctioning organelles are often difficult to probe with classical organelle-homing sensors owing to disruption of physiological organelle-probe affinity. We herein report the use of a responsive hetero-organelle partition and signal activable probe (RC-TPP) for detecting mitochondrial depolarization, a pathologically relevant event featuring loss of the electrical potentials across the mitochondrial membrane (ΔΨm). Partitioned in mitochondria to give blue fluorescence, RC-TPP relocates into lysosomes upon mitochondrial depolarization and exhibits red fluorescence triggered by lysosomal acidity, enabling determination of autophagy relevant mitochondrial depolarization and the chronological sequence of mitochondrial depolarization and lysosomal neutralization in distinct cell death signalling pathways...
March 1, 2017: Chemical Science
https://www.readbyqxmd.com/read/28448469/distributed-data-service-for-data-management-in-internet-of-things-middleware
#18
Ruben Cruz Huacarpuma, Rafael Timoteo de Sousa Junior, Maristela Terto de Holanda, Robson de Oliveira Albuquerque, Luis Javier García Villalba, Tai-Hoon Kim
The development of the Internet of Things (IoT) is closely related to a considerable increase in the number and variety of devices connected to the Internet. Sensors have become a regular component of our environment, as well as smart phones and other devices that continuously collect data about our lives even without our intervention. With such connected devices, a broad range of applications has been developed and deployed, including those dealing with massive volumes of data. In this paper, we introduce a Distributed Data Service (DDS) to collect and process data for IoT environments...
April 27, 2017: Sensors
https://www.readbyqxmd.com/read/28445441/mining-productive-associated-periodic-frequent-patterns-in-body-sensor-data-for-smart-home-care
#19
Walaa N Ismail, Mohammad Mehedi Hassan
The understanding of various health-oriented vital sign data generated from body sensor networks (BSNs) and discovery of the associations between the generated parameters is an important task that may assist and promote important decision making in healthcare. For example, in a smart home scenario where occupants' health status is continuously monitored remotely, it is essential to provide the required assistance when an unusual or critical situation is detected in their vital sign data. In this paper, we present an efficient approach for mining the periodic patterns obtained from BSN data...
April 26, 2017: Sensors
https://www.readbyqxmd.com/read/28443059/algorithm-for-turning-detection-and-analysis-validated-under-home-like-conditions-in-patients-with-parkinson-s-disease-and-older-adults-using-a-6-degree-of-freedom-inertial-measurement-unit-at-the-lower-back
#20
Minh H Pham, Morad Elshehabi, Linda Haertner, Tanja Heger, Markus A Hobert, Gert S Faber, Dina Salkovic, Joaquim J Ferreira, Daniela Berg, Álvaro Sanchez-Ferro, Jaap H van Dieën, Walter Maetzler
INTRODUCTION: Aging and age-associated disorders such as Parkinson's disease (PD) are often associated with turning difficulties, which can lead to falls and fractures. Valid assessment of turning and turning deficits specifically in non-standardized environments may foster specific treatment and prevention of consequences. METHODS: Relative orientation, obtained from 3D-accelerometer and 3D-gyroscope data of a sensor worn at the lower back, was used to develop an algorithm for turning detection and qualitative analysis in PD patients and controls in non-standardized environments...
2017: Frontiers in Neurology
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