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Home sensor

Mohammad Mehedi Hassan, Shamsul Huda, Md Zia Uddin, Ahmad Almogren, Majed Alrubaian
In recent years, human activity recognition from body sensor data or wearable sensor data has become a considerable research attention from academia and health industry. This research can be useful for various e-health applications such as monitoring elderly and physical impaired people at Smart home to improve their rehabilitation processes. However, it is not easy to accurately and automatically recognize physical human activity through wearable sensors due to the complexity and variety of body activities...
April 16, 2018: Journal of Medical Systems
Yonglin He, Qinyuan Gui, Yuxuan Wang, Zhen Wang, Shenglong Liao, Yapei Wang
For the purpose of stretchable electronics, broad interests have been paid to elastic conductors by which high tensile strain over 100% can be readily achieved. Here, a scalable-processing, dyeing-like strategy for highly stretchable polypyrrole elastomer (1450% in strain) is conceived without particular topological design. This approach effectively improves the mechanical properties of the classic insoluble polypyrrole by confined polymerization within an elastic polymer network. In terms of the easy processing, it is technically possible to prepare stretchable electronics with arbitrary shape and size for wearable electronics with low cost...
April 15, 2018: Small
Ana Lígia Silva de Lima, Luc J W Evers, Tim Hahn, Nienke M de Vries, Margaret Daeschler, Babak Boroojerdi, Dolors Terricabras, Max A Little, Bastiaan R Bloem, Marjan J Faber
BACKGROUND: People with PD (PWP) have an increased risk of becoming inactive. Wearable sensors can provide insights into daily physical activity and walking patterns. RESEARCH QUESTIONS: (1) Is the severity of motor fluctuations associated with sensor-derived average daily walking quantity? (2) Is the severity of motor fluctuations associated with the amount of change in sensor-derived walking quantity after levodopa intake? METHODS: 304 Dutch PWP from the Parkinson@Home study were included...
March 28, 2018: Gait & Posture
Ríona Mc Ardle, Rosie Morris, Aodhán Hickey, Silvia Del Din, Ivan Koychev, Roger N Gunn, Jennifer Lawson, Giovanna Zamboni, Basil Ridha, Barbara J Sahakian, James B Rowe, Alan Thomas, Henrik Zetterberg, Clare MacKay, Simon Lovestone, Lynn Rochesteron
Gait is emerging as a potential diagnostic tool for cognitive decline. The 'Deep and Frequent Phenotyping for Experimental Medicine in Dementia Study' (D&FP) is a multicenter feasibility study embedded in the United Kingdom Dementia Platform designed to determine participant acceptability and feasibility of extensive and repeated phenotyping to determine the optimal combination of biomarkers to detect disease progression and identify early risk of Alzheimer's disease (AD). Gait is included as a clinical biomarker...
March 28, 2018: Journal of Alzheimer's Disease: JAD
Emma Stack, Veena Agarwal, Rachel King, Malcolm Burnett, Fatemeh Tahavori, Balazs Janko, William Harwin, Ann Ashburn, Dorit Kunkel
BACKGROUND: Falls and near falls are common among people with Parkinson's (PwP). To date, most wearable sensor research focussed on fall detection, few studies explored if wearable sensors can detect instability. RESEARCH QUESTION: Can instability (caution or near-falls) be detected using wearable sensors in comparison to video analysis? METHODS: Twenty-four people (aged 60-86) with and without Parkinson's were recruited from community groups...
March 28, 2018: Gait & Posture
Li-Ju Wang, Nicole Naudé, Yu-Chung Chang, Anne Crivaro, Malek Kamoun, Ping Wang, Lei Li
With the rapid development and proliferation of mobile devices with powerful computing power and the ability of integrating sensors into mobile devices, the potential impact of mobile health (mHealth) diagnostics on the public health is drawing researchers' attention. We developed a Smartphone Octo-channel Spectrometer (SOS) as a mHealth diagnostic tool. The SOS has nanoscale wavelength resolution, is self-illuminated from the smartphone itself, and is ultra-low cost (less than $20). A user interface controls the optical sensing parameters and precise alignment...
March 30, 2018: Journal of Biophotonics
Michael Markert, Thomas Trautmann, Florian Krause, Marius Cioaga, Sebastien Mouriot, Miriam Wetzel, Brian D Guth
INTRODUCTION: A newly developed total implant telemetry system for cardiovascular (CV), electrophysiological and body temperature measurement was evaluated. A cloud-based transmission of the physiological signals allowed an assessment of the quality of the physiological signals despite the physical separation between the instrumented animals and the evaluating home laboratory. The new system is intended to be used for safety pharmacological evaluations of drug candidates in various species...
March 26, 2018: Journal of Pharmacological and Toxicological Methods
Elizabeth B Torres, Joe Vero, Richa Rai
Wearable biosensors, such as those embedded in smart phones, can provide data to assess neuro-motor control in mobile settings, at homes, schools, workplaces and clinics. However, because most machine learning algorithms currently used to analyze such data require several steps that depend on human heuristics, the analyses become computationally expensive and rather subjective. Further, there is no standardized scale or set of tasks amenable to take advantage of such technology in ways that permit broad dissemination and reproducibility of results...
March 29, 2018: Sensors
Judith van Andel, Constantin Ungureanu, Johan Arends, Francis Tan, Johannes Van Dijk, George Petkov, Stiliyan Kalitzin, Thea Gutter, Al de Weerd, Ben Vledder, Roland Thijs, Ghislaine van Thiel, Kit Roes, Frans Leijten
Objective: Automated seizure detection and alarming could improve quality of life and potentially prevent sudden, unexpected death in patients with severe epilepsy. As currently available systems focus on tonic-clonic seizures, we want to detect a broader range of seizure types, including tonic, hypermotor, and clusters of seizures. Methods: In this multicenter, prospective cohort study, the nonelectroencephalographic (non-EEG) signals heart rate and accelerometry were measured during the night in patients undergoing a diagnostic video-EEG examination...
December 2017: Epilepsia Open
Mourad Roudjane, Simon Bellemare-Rousseau, Mazen Khalil, Stepan Gorgutsa, Amine Miled, Younes Messaddeq
In this paper, we present a new mobile wireless communication platform for real-time monitoring of an individual's breathing rate. The platform takes the form of a wearable stretching T-shirt featuring a sensor and a detection base station. The sensor is formed by a spiral-shaped antenna made from a multi-material fiber connected to a compact transmitter. Based on the resonance frequency of the antenna at approximately 2.4 GHz, the breathing sensor relies on its Bluetooth transmitter. The contactless and non-invasive sensor is designed without compromising the user's comfort...
March 25, 2018: Sensors
Y Ruan, L Bally, H Thabit, L Leelarathna, S Hartnell, M Tauschmann, M E Wilinska, M L Evans, J K Mader, H Kojzar, S Dellweg, C Benesch, S Arnolds, T R Pieber, R Hovorka
INTRODUCTION: Glucose excursion were assessed prior and post hypoglycaemia to increase understanding of hypoglycaemia incidence and recovery during hybrid closed-loop insulin delivery. METHODS: We retrospectively analysed data from 60 adults with type 1 diabetes who received in crossover randomised design day-and-night hybrid closed-loop insulin delivery and insulin pump therapy, the latter with or without real-time continuous glucose monitoring. Over 4-week study periods, we identified hypoglycaemic episodes defined as sensor glucose < 3...
March 25, 2018: Diabetes, Obesity & Metabolism
Yosef Joseph Segman
BACKGROUND: Intensive monitoring of blood glucose levels is crucial in diabetes management. This article presents a new device, the TensorTip Combo Glucometer (CoG), developed by Cnoga Medical Ltd, which enables to predict capillary tissue glucose concentration noninvasively. METHODS: Noninvasive glucose readings usually provide irregular or disordered mathematical manifold over the measurement space. To establish a transfer function, which correctly correlates the noninvasive raw data and the actual invasive glucose level, we suggest a mathematical concept that employs a personal calibration procedure to associate glucose pattern and multiple optical signals derived from tissue response to light emission in the range of visible to IR...
March 1, 2018: Journal of Diabetes Science and Technology
Jonghyuk Kim, Hyunwoo Hwangbo
We introduce current home Internet of Things (IoT) technology and present research on its various forms and applications in real life. In addition, we describe IoT marketing strategies as well as specific modeling techniques for improving air quality, a key home IoT service. To this end, we summarize the latest research on sensor-based home IoT, studies on indoor air quality, and technical studies on random data generation. In addition, we develop an air quality improvement model that can be readily applied to the market by acquiring initial analytical data and building infrastructures using spectrum/density analysis and the natural cubic spline method...
March 23, 2018: Sensors
Antonio Tricoli, Giovanni Neri
This review reports the latest achievements in point-of-care (POC) sensor technologies for the monitoring of ammonia, creatinine and urea in patients suffering of chronic kidney diseases (CKDs). Abnormal levels of these nitrogen biomarkers are found in the physiological fluids, such as blood, urine and sweat, of CKD patients. Delocalized at-home monitoring of CKD biomarkers via integration of miniaturized, portable, and low cost chemical- and bio-sensors in POC devices, is an emerging approach to improve patients' health monitoring and life quality...
March 22, 2018: Sensors
Ghassem Mokhtari, Amjad Anvari-Moghaddam, Qing Zhang, Mohanraj Karunanithi
Smart home platforms show promising outcomes to provide a better quality of life for residents in their homes. One of the main challenges that exists with these platforms in multi-residential houses is activity labeling. As most of the activity sensors do not provide any information regarding the identity of the person who triggers them, it is difficult to label the sensor events in multi-residential smart homes. To deal with this challenge, individual localization in different areas can be a promising solution...
March 19, 2018: Sensors
Yunfang Jia, Fang Li
Functional nucleic acids (FNAs) are promising sensing elements, extensive interests are excited to integrate FNAs with transducers for biochemical assays. However, efforts for FNAs modified light-addressable-potentiometric-sensor (FNA-LAPS) are rarely reported. LAPS is a versatile transducer with electrolyte-insulator-semiconductor (EIS) structure, can respond almost any surface electronic deviations. Herein, organized studies for FNA-LAPS including experiments, theoretical derivations and MEDICI (Synopsys®) simulations, are presented using Pb2+ -DNAzyme GR-5 and Ag+ -aptamer as proof-of-concepts, which are typical FNAs with distinctive sensing strategies...
March 21, 2018: Analytical Chemistry
Alfonso González-Briones, Javier Prieto, Fernando De La Prieta, Enrique Herrera-Viedma, Juan M Corchado
At present, the domotization of homes and public buildings is becoming increasingly popular. Domotization is most commonly applied to the field of energy management, since it gives the possibility of managing the consumption of the devices connected to the electric network, the way in which the users interact with these devices, as well as other external factors that influence consumption. In buildings, Heating, Ventilation and Air Conditioning (HVAC) systems have the highest consumption rates. The systems proposed so far have not succeeded in optimizing the energy consumption associated with a HVAC system because they do not monitor all the variables involved in electricity consumption...
March 15, 2018: Sensors
Nash Ak Witten, Joseph Humphry
The Lana'i Community Health Center (LCHC) like other health care organizations, is striving to implement technology-enabled care (TEC) in the clinical setting. TEC includes such technological innovations as patient portals, mobile phone applications, wearable health sensors, and telehealth. This study examines the utilization of communication technology by members of the Lana'i community and LCHC staff and board members in the home and in their daily lives and evaluates the community's electronic health literacy...
March 2018: Hawai'i Journal of Medicine & Public Health: a Journal of Asia Pacific Medicine & Public Health
Basilio Vescio, Maria Salsone, Antonio Gambardella, Aldo Quattrone
Heart rate variability (HRV) is commonly used to assess autonomic functions and responses to environmental stimuli. It is usually derived from electrocardiographic signals; however, in the last few years, photoplethysmography has been successfully used to evaluate beat-to-beat time intervals and to assess changes in the human heart rate under several conditions. The present work describes a simple design of a photoplethysmograph, using a wearable earlobe sensor. Beat-to-beat time intervals were evaluated as the time between subsequent pulses, thus generating a signal representative of heart rate variability, which was compared to RR intervals from classic electrocardiography...
March 13, 2018: Sensors
Muhammed Veli, Aydogan Ozcan
We present a cost-effective and portable platform based on contact lenses for non-invasively detecting Staphylococcus aureus, which is part of the human ocular microbiome and resides on the cornea and conjunctiva. Using Staphylococcus aureus-specific antibodies and a surface chemistry protocol that is compatible with human tear, contact lenses are designed to specifically capture Staphylococcus aureus. After the bacteria capture on the lens, and right before its imaging, the captured bacteria are tagged with surface-functionalized polystyrene microparticles...
March 9, 2018: ACS Nano
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