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Jose-Luis Bayo-Monton, Antonio Martinez-Millana, Weisi Han, Carlos Fernandez-Llatas, Yan Sun, Vicente Traver
Health and sociological indicators alert that life expectancy is increasing, hence so are the years that patients have to live with chronic diseases and co-morbidities. With the advancement in ICT, new tools and paradigms are been explored to provide effective and efficient health care. Telemedicine and health sensors stand as indispensable tools for promoting patient engagement, self-management of diseases and assist doctors to remotely follow up patients. In this paper, we evaluate a rapid prototyping solution for information merging based on five health sensors and two low-cost ubiquitous computing components: Arduino and Raspberry Pi...
June 6, 2018: Sensors
Cheikh Latyr Fall, Francis Quevillon, Martine Blouin, Simon Latour, Alexandre Campeau-Lecours, Clement Gosselin, Benoit Gosselin
This paper describes a multimodal body-machine interface (BoMI) to help individuals with upper-limb disabilities using advanced assistive technologies, such as robotic arms. The proposed system uses a wearable and wireless body sensor network (WBSN) supporting up to six sensor nodes to measure the natural upper-body gesture of the users and translate it into control commands. Natural gesture of the head and upper-body parts, as well as muscular activity, are measured using inertial measurement units (IMUs) and surface electromyography (sEMG) using custom-designed multimodal wireless sensor nodes...
June 2018: IEEE Transactions on Biomedical Circuits and Systems
Javier Garcia Guzman, Lisardo Prieto Gonzalez, Jonatan Pajares Redondo, Susana Sanz Sanchez, Beatriz L Boada
In recent years, there have been many advances in vehicle technologies based on the efficient use of real-time data provided by embedded sensors. Some of these technologies can help you avoid or reduce the severity of a crash such as the Roll Stability Control (RSC) systems for commercial vehicles. In RSC, several critical variables to consider such as sideslip or roll angle can only be directly measured using expensive equipment. These kind of devices would increase the price of commercial vehicles. Nevertheless, sideslip or roll angle or values can be estimated using MEMS sensors in combination with data fusion algorithms...
June 3, 2018: Sensors
Gustavo A Alonso-Silverio, Fernando Pérez-Escamirosa, Raúl Bruno-Sanchez, José L Ortiz-Simon, Roberto Muñoz-Guerrero, Arturo Minor-Martinez, Antonio Alarcón-Paredes
BACKGROUND: A trainer for online laparoscopic surgical skills assessment based on the performance of experts and nonexperts is presented. The system uses computer vision, augmented reality, and artificial intelligence algorithms, implemented into a Raspberry Pi board with Python programming language. METHODS: Two training tasks were evaluated by the laparoscopic system: transferring and pattern cutting. Computer vision libraries were used to obtain the number of transferred points and simulated pattern cutting trace by means of tracking of the laparoscopic instrument...
May 1, 2018: Surgical Innovation
Debbie Watson, Chloe Meineck, Beth Lancaster
This article presents an innovative project to develop and trial a prototype product called 'trove' to start to address challenges identified regarding current practice of life story work with children who are looked after and adopted. trove is a digitally enhanced memory box that utilises raspberry pi (a small single board computer) and radio-frequency identification (RFID) technologies to enable children to record their memories and to attach these to their precious objects using an electronic tag: providing a safe 'container' for their mementoes and memories...
May 1, 2018: Clinical Child Psychology and Psychiatry
Boyang Xing, Quanmin Zhu, Feng Pan, Xiaoxue Feng
A novel multi-sensor fusion indoor localization algorithm based on ArUco marker is designed in this paper. The proposed ArUco mapping algorithm can build and correct the map of markers online with Grubbs criterion and K-mean clustering, which avoids the map distortion due to lack of correction. Based on the conception of multi-sensor information fusion, the federated Kalman filter is utilized to synthesize the multi-source information from markers, optical flow, ultrasonic and the inertial sensor, which can obtain a continuous localization result and effectively reduce the position drift due to the long-term loss of markers in pure marker localization...
May 25, 2018: Sensors
Jumadi Mabe Parenreng, Akio Kitagawa
Wireless Sensor Networks (WSNs) with limited battery, central processing units (CPUs), and memory resources are a widely implemented technology for early warning detection systems. The main advantage of WSNs is their ability to be deployed in areas that are difficult to access by humans. In such areas, regular maintenance may be impossible; therefore, WSN devices must utilize their limited resources to operate for as long as possible, but longer operations require maintenance. One method of maintenance is to apply a resource adaptation policy when a system reaches a critical threshold...
May 17, 2018: Sensors
Yuanhong Zhong, Junyuan Gao, Qilun Lei, Yao Zhou
Rapid and accurate counting and recognition of flying insects are of great importance, especially for pest control. Traditional manual identification and counting of flying insects is labor intensive and inefficient. In this study, a vision-based counting and classification system for flying insects is designed and implemented. The system is constructed as follows: firstly, a yellow sticky trap is installed in the surveillance area to trap flying insects and a camera is set up to collect real-time images. Then the detection and coarse counting method based on You Only Look Once (YOLO) object detection, the classification method and fine counting based on Support Vector Machines (SVM) using global features are designed...
May 9, 2018: Sensors
Brian Iglehart
Laboratory automation improves test reproducibility, which is vital to patient care in clinical laboratories. Many small and specialty laboratories are excluded from the benefits of automation due to low sample number, cost, space, and/or lack of automation expertise. The Minimum Viable Option (MVO) automation platform was developed to address these hurdles and fulfill an unmet need. Consumer 3D printing enabled rapid iterative prototyping to allow for a variety of instrumentation and assay setups and procedures...
May 1, 2018: SLAS Technology
Samuel Olaiya Afolaranmi, Borja Ramis Ferrer, Jose Luis Martinez Lastra
The monitoring of ambient conditions in indoor spaces is very essential owing to the amount of time spent indoors. Specifically, the monitoring of air quality is significant because contaminated air affects the health, comfort and productivity of occupants. This research work presents a technology review of prototyping platforms for monitoring ambient conditions in indoor spaces. It involves the research on sensors (for CO2 , air quality and ambient conditions), IoT platforms, and novel and commercial prototyping platforms...
May 8, 2018: International Journal of Environmental Health Research
Jose C Tovar, J Steen Hoyer, Andy Lin, Allison Tielking, Steven T Callen, S Elizabeth Castillo, Michael Miller, Monica Tessman, Noah Fahlgren, James C Carrington, Dmitri A Nusinow, Malia A Gehan
Premise of the Study: Image-based phenomics is a powerful approach to capture and quantify plant diversity. However, commercial platforms that make consistent image acquisition easy are often cost-prohibitive. To make high-throughput phenotyping methods more accessible, low-cost microcomputers and cameras can be used to acquire plant image data. Methods and Results: We used low-cost Raspberry Pi computers and cameras to manage and capture plant image data. Detailed here are three different applications of Raspberry Pi-controlled imaging platforms for seed and shoot imaging...
March 2018: Applications in Plant Sciences
Po-Hao Chen, Nathan Cross
The work environment for medical imaging such as distractions, ergonomics, distance, temperature, humidity, and lighting conditions generates a paucity of data and is difficult to analyze. The emergence of Internet of Things (IoT) with decreasing cost of single-board computers like Raspberry Pi makes creating customized hardware to collect data from the clinical environment within the reach of a clinical imaging informaticist. This article will walk the reader through a series of basic project using a variety sensors and devices in conjunction with a Pi to gather data, culminating in a complex example designed to automatically detect and log telephone calls...
May 3, 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
James Keaveney
We present a simple and convenient, high-resolution solution for automated laser-beam profiling with axial translation. The device is based on a Raspberry Pi computer, Pi Noir CMOS camera, stepper motor, and commercial translation stage. We also provide software to run the device. The CMOS sensor is sensitive over a large wavelength range between 300 and 1100 nm and can be translated over 25 mm along the beam axis. The sensor head can be reversed without changing its axial position, allowing for a quantitative estimate of beam overlap with counter-propagating laser beams...
March 2018: Review of Scientific Instruments
Agathe Houzé de l'Aulnoit, Samuel Boudet, Michaël Génin, Pierre-François Gautier, Jessica Schiro, Denis Houzé de l'Aulnoit, Régis Beuscart
The fetal heart rate (FHR) is a marker of fetal well-being in utero (when monitoring maternal and/or fetal pathologies) and during labor. Here, we developed a smart mobile data module for the remote acquisition and transmission (via a Wi-Fi or 4G connection) of FHR recordings, together with a web-based viewer for displaying the FHR datasets on a computer, smartphone or tablet. In order to define the features required by users, we modelled the fetal monitoring procedure (in home and hospital settings) via semi-structured interviews with midwives and obstetricians...
March 23, 2018: Journal of Medical Systems
Brodie Daniels, Penny Reimers, Tracy King, Stefan Schmidt, Anna Coutsoudis
INTRODUCTION: PiAstra is a simulated flash-heat (FH) pasteurization temperature monitoring system designed using Raspberry Pi technology for the pasteurization of human milk. This study analyzed the effect of the PiAstra FH method on human milk immune components (immunoglobulin A [IgA] and lactoferrin activity). METHODS: Donor milk samples (N = 45) were obtained from a human milk bank, and pasteurized. Concentrations of IgA and lactoferrin activity were compared to their unpasteurized controls using the Student's t test...
May 2018: Breastfeeding Medicine: the Official Journal of the Academy of Breastfeeding Medicine
Hugo Placido da Silva
With the advent of low-cost computing platforms, such as Arduino ( and Raspberry Pi (, it has become clear that lowering the cost barrier and shortening the learning curve, with the backing of a motivated community, would play a transformational role in the way people learn, experiment, and create imaginative solutions to outstanding problems that can benefit from embedded systems.
March 2018: IEEE Pulse
James D O'Leary, Olivia F O'Leary, John F Cryan, Yvonne M Nolan
The development of a touchscreen platform for rodent testing has allowed new methods for cognitive testing that have been back-translated from clinical assessment tools to preclinical animal models. This platform for cognitive assessment in animals is comparable to human neuropsychological tests such as those employed by the Cambridge Neuropsychological Test Automated Battery, and thus has several advantages compared to the standard maze apparatuses typically employed in rodent behavioral testing, such as the Morris water maze...
March 8, 2018: Behavior Research Methods
Jian Ye, Guanghui Liu, Peng Liu, Shiwu Zhang, Pengfei Shao, Zachary J Smith, Chenhai Liu, Ronald X Xu
We propose a portable fluorescence microscopic imaging system (PFMS) for intraoperative display of biliary structure and prevention of iatrogenic injuries during cholecystectomy. The system consists of a light source module, a camera module, and a Raspberry Pi computer with an LCD. Indocyanine green (ICG) is used as a fluorescent contrast agent for experimental validation of the system. Fluorescence intensities of the ICG aqueous solution at different concentration levels are acquired by our PFMS and compared with those of a commercial Xenogen IVIS system...
February 2018: Journal of Biomedical Optics
Masakazu Sato, Minako Koizumi, Takahiro Hino, Yu Takahashi, Natsuki Nagashima, Nao Itaoka, Chiharu Ueshima, Maki Nakata, Yoko Hasumi
INTRODUCTION: Laparoscopic surgery is less invasive than open surgery and is now common in various medical fields. However, laparoscopic surgery is more difficult than open surgery and often requires additional time for the operator to achieve mastery. Therefore, we investigated the use of assistive technology for uniform laparoscopic surgery. METHODS: We used the OpenCV2 library for augmented reality with an ArUco marker to detect and estimate forceps positioning...
February 19, 2018: Asian Journal of Endoscopic Surgery
Andrew Brueck, Tashfin Iftekhar, Alicja B Stannard, Kumar Yelamarthi, Tolga Kaya
There has been significant research on the physiology of sweat in the past decade, with one of the main interests being the development of a real-time hydration monitor that utilizes sweat. The contents of sweat have been known for decades; sweat provides significant information on the physiological condition of the human body. However, it is important to know the sweat rate as well, as sweat rate alters the concentration of the sweat constituents, and ultimately affects the accuracy of hydration detection...
February 10, 2018: Sensors
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