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Home sensor

Wenda Li, Bo Tan, Robert Piechocki
This paper proposes a passive Doppler radar as a non-contact sensing method to capture human body movements, recognize respiration, and physical activities in e-Health applications. The system uses existing in-home wireless signal as the source to interpret human activity. This paper shows that passive radar is a novel solution for multiple healthcare applications which complements traditional smart home sensor systems. An innovative two-stage signal processing framework is outlined to enable the multi-purpose monitoring function...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Bryan Minor, Janardhan Rao Doppa, Diane J Cook
Recent progress in Internet of Things (IoT) platforms has allowed us to collect large amounts of sensing data. However, there are significant challenges in converting this large-scale sensing data into decisions for real-world applications. Motivated by applications like health monitoring and intervention and home automation we consider a novel problem called Activity Prediction , where the goal is to predict future activity occurrence times from sensor data. In this paper, we make three main contributions...
December 1, 2017: IEEE Transactions on Knowledge and Data Engineering
Francois Bethoux, Jonathan S Varsanik, Timothy W Chevalier, Elkan F Halpern, Darlene Stough, Zebadiah M Kimmel
BACKGROUND: Walking speed is an important measure of gait impairment in multiple sclerosis (MS). The clinical assessment of walking speed requires dedicated time, space, and personnel, and may not accurately gauge real-world performance. The term "Ambient Measurement System" (AMS) refers to a new class of device that passively measures walking speed at home, without the need for dedicated space or specialized setup. This study compared an AMS, Echo5D, versus in-clinic standard measures of walking speed on a straight path...
February 8, 2018: Gait & Posture
Laurel H Messer, Gregory P Forlenza, Jennifer L Sherr, R Paul Wadwa, Bruce A Buckingham, Stuart A Weinzimer, David M Maahs, Robert H Slover
OBJECTIVE: The MiniMed 670G System is the first commercial hybrid closed-loop (HCL) system for management of type 1 diabetes. Using data from adolescent and young adult participants, we compared insulin delivery patterns and time-in-range metrics in HCL (Auto Mode) and open-loop (OL). System alerts, usage profiles, and operational parameters were examined to provide suggestions for optimal clinical use of the system. RESEARCH DESIGN AND METHODS: Data from 31 adolescent and young adult participants (14-26 years old) at three clinical sites in the 670G pivotal trial were analyzed...
February 14, 2018: Diabetes Care
Lisa M Thompson, Anaité Diaz-Artiga, John R Weinstein, Margaret A Handley
BACKGROUND: Three billion people use solid cooking fuels, and 4 million people die from household air pollution annually. Shifting households to clean fuels, like liquefied petroleum gas (LPG), may protect health only if stoves are consistently used. Few studies have used an implementation science framework to systematically assess "de-implementation" of traditional stoves, and none have done so with pregnant women who are more likely to adopt new behaviors. We evaluated an introduced LPG stove coupled with a phased behavioral intervention to encourage exclusive gas stove use among pregnant women in rural Guatemala...
February 14, 2018: BMC Public Health
Martina Mancini, Aner Weiss, Talia Herman, Jeffrey M Hausdorff
Difficulty in turning while walking is common among patients with Parkinson's disease (PD). This difficulty often leads to significant disability, falls, and loss of function; moreover, turning is a common trigger for freezing of gait (FoG). We hypothesized that the quantity and quality of turning mobility while walking during daily life would be different among subjects with PD with and without FoG. Here, we investigated, for the first time, the turning quality during daily life as it relates to FoG in people with PD using a single inertial sensor...
2018: Frontiers in Neurology
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
Zhichao Zhang, Yuan Zhang, Houbing Song, Lina Yao, Anton Kos
Pulse diagnosis is an efficient method in traditional Chinese medicine for detecting the health status of a person in a non-invasive and convenient way. Jin's pulse diagnosis (JPD) is a very efficient recent development that is gradually recognized and well validated by the medical community in recent years. However, no acceptable results have been achieved for lung cancer recognition in the field of biomedical signal processing using JPD. More so, there is no standard JPD pulse feature defined with respect to pulse signals...
February 8, 2018: Journal of Biomedical Informatics
Gerson A Ruiz-Córdova, Sabir Khan, Luís Moreira Gonçalves, Maria Isabel Pividori, Gino Picasso, Maria Del Pilar T Sotomayor
The determination of 1-chloro-2,4-dinitrobenzene (CDNB) was used as a proof-of-concept to a simple analytical practical configuration applying magnetic molecularly imprinted particles (mag-MIPs). Mag-MIPs were captured from an emulsion by a home-made magneto-sensor (where a small magnet was entrapped by a graphite-epoxy composite) and then, this sensor, was transferred to the solution containing the analyte, where, after binding to the mag-MIPs, the analyte was directly analysed using differential pulse voltammetry (DPV) since the magneto-sensor acted as the working electrode...
May 1, 2018: Talanta
Xin Li, Xinlei Wang, Tian Fang, Lizhi Zhang, Jingming Gong
Owing to the lack of chromophores and ionizable functional groups, it is a significant challenge to determine perfluorooctane sulfonyl fluoride (PFOSF) by traditional high-performance liquid chromatography or liquid chromatography/mass spectrometry, especially at a low concentration. In this work a unique photoelectrochemical (PEC) sensing strip has been developed for the first time for the detection of PFOSF. The sensing strip is cost effective and disposable, whereby BiOI nanoflake arrays are fabricated on a home-made screen-printed electrode through a facile one-step in-situ electrodeposition process, and then the molecule tags (i...
May 1, 2018: Talanta
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
Xiaodan Gu, Leo Shaw, Kevin Gu, Michael F Toney, Zhenan Bao
The electronic devices that play a vital role in our daily life are primarily based on silicon and are thus rigid, opaque, and relatively heavy. However, new electronics relying on polymer semiconductors are opening up new application spaces like stretchable and self-healing sensors and devices, and these can facilitate the integration of such devices into our homes, our clothing, and even our bodies. While there has been tremendous interest in such technologies, the widespread adoption of these organic electronics requires low-cost manufacturing techniques...
February 7, 2018: Nature Communications
Ali Farzbod, Hyejin Moon
This paper presents the demonstration of on-chip fabrication of a potassium-selective sensor array enabled by electrowetting on dielectric digital microfluidics for the first time. This demonstration proves the concept that electrochemical sensors can be seamlessly integrated with sample preparation units in a digital microfluidic platform. More significantly, the successful on-chip fabrication of a sensor array indicates that sensors become reconfigurable and have longer lifetime in a digital microfluidic platform...
January 31, 2018: Biosensors & Bioelectronics
Amandine Dubois, Jean-Pierre Bresciani
Fall risk in elderly people is usually assessed using clinical tests. These tests consist in a subjective evaluation of gait performed by healthcare professionals, most of the time shortly after the first fall occurrence. We propose to complement this one-time, subjective evaluation, by a more quantitative analysis of the gait pattern using a Microsoft Kinect. To evaluate the potential of the Kinect sensor for such a quantitative gait analysis, we benchmarked its performance against that of a gold-standard motion capture system, namely the OptiTrack...
January 31, 2018: Journal of Biomechanics
Victoria Mj Smith, Jonathan S Varsanik, Rachel A Walker, Andrew W Russo, Kevin R Patel, Wendy Gabel, Glenn A Phillips, Zebadiah M Kimmel, Eric C Klawiter
Background: Gait disturbance is a major contributor to clinical disability in multiple sclerosis (MS). A sensor was developed to assess walking speed at home for people with MS using infrared technology in real-time without the use of wearables. Objective: To develop continuous in-home outcome measures to assess gait in adults with MS. Methods: Movement measurements were collected continuously for 8 months from six people with MS. Average walking speed and peak walking speed were calculated from movement data, then analyzed for variability over time, by room (location), and over the course of the day...
January 2018: Multiple Sclerosis Journal—Experimental, Translational and Clinical
Brad Manor, Wanting Yu, Hao Zhu, Rachel Harrison, On-Yee Lo, Lewis Lipsitz, Thomas Travison, Alvaro Pascual-Leone, Junhong Zhou
BACKGROUND: Walking is a complex cognitive motor task that is commonly completed while performing another task such as talking or making decisions. Gait assessments performed under normal and "dual-task" walking conditions thus provide important insights into health. Such assessments, however, are limited primarily to laboratory-based settings. OBJECTIVE: The objective of our study was to create and test a smartphone-based assessment of normal and dual-task walking for use in nonlaboratory settings...
January 30, 2018: JMIR MHealth and UHealth
Monika Z Rogozinska
Pharmaceutical companies have been forever challenged with both rising development costs and the need to find novel ways to differentiate the candidate drugs. Recent advances in digital health (DH) technology, including wearables, in-home clinical devices, and sensors, have enabled a growing array of available data endpoints, making these devices an invaluable tool in clinical programs. The below analysis focuses on advantages and hurdles in implementation of selected DH technologies in drug development.
January 30, 2018: Clinical Pharmacology and Therapeutics
Indu Sarangadharan, Shin-Li Wang, Revathi Sukesan, Pei-Chi Chen, Tze-Yu Dai, Anil Kumar Pulikkathodi, Chen-Pin Hsu, Hui-Hua Kenny Chiang, Lawrence Yu-Min Liu, Yu-Lin Wang
Detection of disease biomarkers from whole blood is very important in disease prevention and management. However, new generation assays like point-of-care or mobile diagnostics face myriad of challenges in detecting proteins from whole blood. In this research, we have designed, fabricated and characterized a portable biomedical sensor for the detection of cardiac troponin I (cTnI) directly from whole blood, without sample pre-treatments. The sensing methodology is based on extended gate electrical double layer (EDL) gated FET biosensor that can offer very high sensitivity, a wide dynamic range and high selectivity to target analyte...
January 29, 2018: Analytical Chemistry
Dan Yang, Bin Xu, Kaiyou Rao, Weihua Sheng
Indoor occupants' positions are significant for smart home service systems, which usually consist of robot service(s), appliance control and other intelligent applications. In this paper, an innovative localization method is proposed for tracking humans' position in indoor environments based on passive infrared (PIR) sensors using an accessibility map and an A-star algorithm, aiming at providing intelligent services. First the accessibility map reflecting the visiting habits of the occupants is established through the integral training with indoor environments and other prior knowledge...
January 24, 2018: Sensors
Nobutomo Morita, Hirofumi Nogami, Eiji Higurashi, Renshi Sawada
The purpose of this paper is to show the feasibility of grasping force control by feeding back signals of the developed micro-laser Doppler velocimeter (μ-LDV) and by discriminating whether a grasped object is slipping or not. LDV is well known as a high response surface velocity sensor which can measure various surfaces-such as metal, paper, film, and so on-thus suggesting the potential application of LDV as a slip sensor for grasping various objects. However, the use of LDV as a slip sensor has not yet been reported because the size of LDVs is too large to be installed on a robotic fingertip...
January 23, 2018: Sensors
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