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https://www.readbyqxmd.com/read/28336901/an-optical-sensor-with-polyaniline-gold-hybrid-nanostructures-for-monitoring-ph-in-saliva
#1
Chongdai Luo, Yangyang Wang, Xuemeng Li, Xueqin Jiang, Panpan Gao, Kang Sun, Jianhua Zhou, Zhiguang Zhang, Qing Jiang
Saliva contains important personal physiological information that is related to some diseases, and it is a valuable source of biochemical information that can be collected rapidly, frequently, and without stress. In this article, we reported a new and simple localized surface plasmon resonance (LSPR) substrate composed of polyaniline (PANI)-gold hybrid nanostructures as an optical sensor for monitoring the pH of saliva samples. The overall appearance and topography of the substrates, the composition, and the wettability of the LSPR surfaces were characterized by optical and scanning electron microscope (SEM) images, infrared spectra, and contact angles measurement, respectively...
March 17, 2017: Nanomaterials
https://www.readbyqxmd.com/read/28335568/an-electricity-price-aware-open-source-smart-socket-for-the-internet-of-energy
#2
Óscar Blanco-Novoa, Tiago M Fernández-Caramés, Paula Fraga-Lamas, Luis Castedo
The Internet of Energy (IoE) represents a novel paradigm where electrical power systems work cooperatively with smart devices to increase the visibility of energy consumption and create safer, cleaner and sustainable energy systems. The implementation of IoE services involves the use of multiple components, like embedded systems, power electronics or sensors, which are an essential part of the infrastructure dedicated to the generation and distribution energy and the one required by the final consumer. This article focuses on the latter and presents a smart socket system that collects the information about energy price and makes use of sensors and actuators to optimize home energy consumption according to the user preferences...
March 21, 2017: Sensors
https://www.readbyqxmd.com/read/28335394/motor-function-evaluation-of-hemiplegic-upper-extremities-using-data-fusion-from-wearable-inertial-and-surface-emg-sensors
#3
Yanran Li, Xu Zhang, Yanan Gong, Ying Cheng, Xiaoping Gao, Xiang Chen
Quantitative evaluation of motor function is of great demand for monitoring clinical outcome of applied interventions and further guiding the establishment of therapeutic protocol. This study proposes a novel framework for evaluating upper limb motor function based on data fusion from inertial measurement units (IMUs) and surface electromyography (EMG) sensors. With wearable sensors worn on the tested upper limbs, subjects were asked to perform eleven straightforward, specifically designed canonical upper-limb functional tasks...
March 13, 2017: Sensors
https://www.readbyqxmd.com/read/28324989/non-contact-real-time-estimation-of-intrapulmonary-pressure-and-tidal-volume-for-chronic-heart-failure-patients
#4
Vinh Phuc Tran, Adel Ali Al-Jumaily
Long-term continuous patient monitoring is required in many health systems for monitoring and analytical diagnosing purposes. It has been recognized that these types of monitoring systems have shortcomings related to patient comfort and/or functionality. Non-contact monitoring systems have been developed to address some of these shortcomings. One of such systems is non-contact physiological vital signs assessments for Chronic Heart Failure (CHF) patients. This paper presents a novel pulmonary ventilation model that defines the relationship between the intrapulmonary pressure and the chest displacement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28319899/molecular-imprinting-sensor-based-on-quantum-weak-measurement
#5
Dongmei Li, Qinghua He, Yonghong He, Meiguo Xin, Yilong Zhang, Zhiyuan Shen
A new type of sensing protocol, based on a high precision metrology of quantum weak measurement, was first proposed for molecularly imprinted polymers (MIP) sensor. The feasibility, sensitivity and selectivity of weak measurement based MIP (WMMIP) sensor were experimentally demonstrated with bovine serum albumin (BSA). Weak measurement system exhibits high sensitivity to the optical phase shift corresponding to the refractive index change, which is induced by the specific capture of target protein molecules with its recognition sites...
March 10, 2017: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/28300782/erratum-sandeep-p-et-al-a-novel-secure-iot-based-smart-home-automation-system-using-a-wireless-sensor-network-sensors-2017-17-69
#6
Sandeep Pirbhulal, Heye Zhang, Md Eshrat E Alahi, Hemant Ghayvat, Subhas Chandra Mukhopadhyay, Yuan-Ting Zhang, Wanqing Wu
n/a.
March 16, 2017: Sensors
https://www.readbyqxmd.com/read/28300524/predicting-pulmonary-function-from-phone-sensors
#7
Qian Cheng, Joshua Juen, Shashi Bellam, Nicholas Fulara, Deanna Close, Jonathan C Silverstein, Bruce Schatz
INTRODUCTION: Smartphones are ubiquitous, but it is unknown what physiological functions can be monitored at clinical quality. Pulmonary function is a standard measure of health status for cardiopulmonary patients. We have shown phone sensors can accurately measure walking patterns. Here we show that improved classification models can accurately predict pulmonary function, with sole inputs being motion sensors from carried phones. SUBJECTS AND METHODS: Twenty-five cardiopulmonary patients performed 6-minute walk tests in pulmonary rehabilitation at a regional hospital...
March 16, 2017: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
https://www.readbyqxmd.com/read/28297945/multifractality-in-individual-honeybee-behavior-hints-at-colony-specific-social-cascades-reanalysis-of-radio-frequency-identification-data-from-five-different-colonies
#8
Nicole S Carver, Damian G Kelty-Stephen
Honeybees (Apis mellifera) exhibit complex coordination and interaction across multiple behaviors such as swarming. This coordination among honeybees in the same colony is remarkably similar to the concept of informational cascades. The multifractal geometry of cascades suggests that multifractal measures of individual honeybee activity might carry signatures of these colony-wide coordinations. The present work reanalyzes time stamps of entrances to and exits from the hive captured by radio-frequency identification (RFID) sensors reading RFID tags on individual bees...
February 2017: Physical Review. E
https://www.readbyqxmd.com/read/28285311/postural-transitions-during-activities-of-daily-living-could-identify-frailty-status-application-of-wearable-technology-to-identify-frailty-during-unsupervised-condition
#9
Saman Parvaneh, Jane Mohler, Nima Toosizadeh, Gurtej Singh Grewal, Bijan Najafi
BACKGROUND: Impairment of physical function is a major indicator of frailty. Functional performance tests have been shown to be useful for identification of frailty in older adults. However, these tests are often not translatable into unsupervised and remote monitoring of frailty status at home and/or community settings. OBJECTIVE: In this study, we explored daily postural transition quantified using a chest-worn wearable technology to identify frailty in community-dwelling older adults...
March 11, 2017: Gerontology
https://www.readbyqxmd.com/read/28276963/sensor-technology-more-than-a-support
#10
Anna Olsson, Ann-Christine Persson, Aniko Bartfai, Inga-Lill Boman
BACKGROUND: This interview study is a part of a project that evaluated sensor technology as a support in everyday activities for patients with memory impairment. AIM: To explore patients with memory impairment and their partners' experiences of using sensor technology in their homes. METHODS AND MATERIAL: Five patients with memory impairment after stroke and three partners were interviewed. Individual semi-structured interviews were analyzed with qualitative content analysis...
February 17, 2017: Scandinavian Journal of Occupational Therapy
https://www.readbyqxmd.com/read/28269619/a-wearable-computing-platform-for-developing-cloud-based-machine-learning-models-for-health-monitoring-applications
#11
Shyamal Patel, Ryan S McGinnis, Ikaro Silva, Steve DiCristofaro, Nikhil Mahadevan, Elise Jortberg, Jaime Franco, Albert Martin, Joseph Lust, Milan Raj, Bryan McGrane, Paolo DePetrillo, A J Aranyosi, Melissa Ceruolo, Jesus Pindado, Roozbeh Ghaffari
Wearable sensors have the potential to enable clinical-grade ambulatory health monitoring outside the clinic. Technological advances have enabled development of devices that can measure vital signs with great precision and significant progress has been made towards extracting clinically meaningful information from these devices in research studies. However, translating measurement accuracies achieved in the controlled settings such as the lab and clinic to unconstrained environments such as the home remains a challenge...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269458/towards-detection-of-sleep-apnea-events-by-combining-different-non-contact-measurement-modalities
#12
Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer
In this work, we extract features from an under-the-mattress impulse radio ultra-wide band (IR-UWB) radar and a microphone, placed on the side table of the bed, to classify epochs belonging to normal sleep and those that contain an apnea event in them. Sleep apnea is the most common form of sleep related breathing disorder in adults with an estimated prevalance of 5-15%. The common diagnostic process for sleep apnea, polysomnography (PSG), involves sleeping in well-equipped sleep clinics. The cost and discomfort associated with the process has spurred research towards the design of portable home-based monitoring devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269338/non-invasive-bcg-monitoring-for-non-traditional-settings
#13
Esteban J Pino, Constanza Larsen, Javier Chavez, Pablo Aqueveque
This paper presents the results from actual measurements of cardiac activity acquired through the use of noninvasive sensors to detect Ballistocardiogram (BCG). The results show that it is feasible to unobtrusively monitor heart rate in non-standard settings such as waiting rooms or at school using simple chairs fitted with capacitive sensors. The selected sensors, based on electromechanical principles, are able to measure BCG from a variety of subjects. We present the results for 114 participants from homes, school and a hospital waiting room, adding up over 815 minutes of data...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269319/design-and-pilot-evaluation-of-competitive-and-cooperative-exercise-games-for-arm-rehabilitation-at-home
#14
Maja Gorsic, Domen Novak
People with chronic arm impairment should exercise intensely at home after completing their clinical rehabilitation program, but frequently lack motivation. To address this issue, we present a home rehabilitation system that motivates patients by allowing them to perform arm exercises together with friends or relatives in competitive and cooperative games. Inertial sensors are used to track the patient's arm and control the game. The system was tested with seven adults with arm impairment as well as their friends or spouses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269318/the-limb-movement-analysis-of-rehabilitation-exercises-using-wearable-inertial-sensors
#15
Bingquan Huang, Oonagh Giggins, Tahar Kechadi, Brian Caulfield
Due to no supervision of a therapist in home based exercise programs, inertial sensor based feedback systems which can accurately assess movement repetitions are urgently required. The synchronicity and the degrees of freedom both show that one movement might resemble another movement signal which is mixed in with another not precisely defined movement. Therefore, the data and feature selections are important for movement analysis. This paper explores the data and feature selection for the limb movement analysis of rehabilitation exercises...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269250/design-of-peripheral-edema-measurement-device-for-home-use
#16
Stephanie M George, Brandon D Langley, Elizabeth M B Weaver, Sonya R Hardin, Jianchu Yao
Due to improvements in cardiovascular care, more patients are living longer but ultimately developing heart failure. It is important for patients with chronic conditions, like heart failure, to self-manage and monitor their symptoms. One symptoms that can be indicative of worsening heart failure is peripheral edema. Therefore, we present a concept for a HeartSMART system capable of edema measurement in the home with remote connection to and feedback from providers. The goal of the system is to provide a tool for heart failure patients to manage their disease...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269098/fall-detection-algorithms-for-real-world-falls-harvested-from-lumbar-sensors-in-the-elderly-population-a-machine-learning-approach
#17
Alan K Bourke, Jochen Klenk, Lars Schwickert, Kamiar Aminian, Espen A F Ihlen, Sabato Mellone, Jorunn L Helbostad, Lorenzo Chiari, Clemens Becker
Automatic fall detection will promote independent living and reduce the consequences of falls in the elderly by ensuring people can confidently live safely at home for linger. In laboratory studies inertial sensor technology has been shown capable of distinguishing falls from normal activities. However less than 7% of fall-detection algorithm studies have used fall data recorded from elderly people in real life. The FARSEEING project has compiled a database of real life falls from elderly people, to gain new knowledge about fall events and to develop fall detection algorithms to combat the problems associated with falls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269096/detecting-postural-transitions-a-robust-wavelet-based-approach
#18
Sadra Hemmati, Eric Wade
The ability to perform postural transitions such as sit-to-stand is an accepted metric for functional independence. The number of transitions performed in real-life situations provides clinically useful information for individuals recovering from lower extremity injury or surgery. Performance deficits during these transitions are well correlated to negative outcomes in numerous populations. Thus, continuous monitoring and detection of transitions in individuals outside of the clinical setting may provide important, clinically relevant information regarding the progression of physical impairments...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269083/tremor-updrs-estimation-in-home-environment
#19
George Rigas, Dimitris Gatsios, Dimitrios I Fotiadis, Maria Chondrogiorgi, Christos Tsironis, Spyridon Konitsiotis, Giovanni Gentile, Andrea Marcante, Angelo Antonini
In this paper, a method for the assessment of the Unified Parkinson Disease Rating scale (UPDRS) related to tremor is presented. The method described consists of hand resting and posture state detection, tremor detection and tremor quantification based on accelerometer and gyroscope readings from a wrist worn sensor. The initial results on PD patient recordings on home environment indicate the feasibility of the proposed method in monitoring UPDRS tremor in patient home environment.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268860/iproprio-a-smartphone-based-system-to-measure-and-improve-proprioceptive-function
#20
Q Mourcou, A Fleury, B Diot, N Vuillerme
It is well known that proprioception is necessary to maintain balance control. Although proprioceptive exercices have shown to have beneficial effects on balance, the joint position sense is not easy to measure and patient cannot practise self-measurement. This article proposes a new system specifically desinged to allow measure and improve proprioceptive function. This so-called `iProprio' system uses inertial sensors included in a smartphone, wireless communication and voice command to allow joint position sense measurment in autonomous way and provide a configurable vibrotactile biofeedback for end-users at home...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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