Abstract P19: Developing an Innovative Visual Fields Rapid Assessment Device (VRAD) for Acute Telestroke Use

Background: Acute telestroke evaluations rely on the ability to rapidly and accurately calculate the NIH Stroke Scale. Remote visual field deficit (VFD) testing is often challenging, requiring trained bedside assistance particularly in rural hospital settings. These deficits account for up to 3 points on the NIHSS, which is enough to affect treatment decisions and impact outcomes. Objective: To create a simple, rapid, and robust screening telemedicine peripheral device to standardize visual field testing during acute telestroke consults and to reduce reliance on bedside assistants for this task. Methods: A one-size-fits-all device was designed such that an LED stimulus is located in each quadrant of the peripheral visual field. Bioengineers, neuro-ophthalmologists, and vascular neurologists collaborated in the development of the prototype. A randomized investigator-blinded pilot clinical trial is in progress. Stroke patients with fully-mapped visual fields were selected. The device, in the form of glasses, is easily placed on the patient’s face, and LED lights are flashed in the standard 8 fields, via a repeatable algorithm, during a simulated acute telestroke encounter. Lights are visible to the remote teleprovider for interpretation of the responses. Patients and examiners will be surveyed for feedback on ease of use of the device (primary outcome). Results from device will be compared to in-person confrontational testing and to previously recorded Humphrey mapped deficits in this same patient population (secondary). Validation is set at a sensitivity of 90% compared to confrontational or to the Humphrey static visual field test results. Results/Conclusion: Remote testing of VFDs in acute telestroke patients is difficult, especially in smaller community rural hospitals. We developed a simple and rapidly applied facial device that can assist the teleprovider in VFD evaluations, potentially affecting treatment options of thrombectomy, thrombolytics, or transfer. An on-going pilot study will test the sensitivity of the device against confrontational and static VF assessments. Innovative telestroke peripherals represent the future of the next generation of diagnostic tools specifically engineered fo remote acute stroke patient evaluations.

Determination of Ocular Artifacts in the Clinical EEG Software by a Peripheral Device

The occurrence of physiological artifacts generated by eye movements in electrical brain activity (electroencephalography, EEG) is a well-known problem in clinical practice. In order to increase the accuracy of the detection of eye movements during EEG examination, additional electrooculogram channels (electrooculography, EOG) with a standard PC keyboard are used. The EOG technique is not always comfortable for patients. Another issue is that the use of EOG channels in the EEG examination leads to the prolongation of time required for patient preparation. To solve these problems, we developed a new peripheral device suitable for the indication of common ocular artifacts in EEG. The obtained differences between the recommended methods (i.e., EOG, PC keyboard) and our new device have been presented using RMSE (root mean square error). The presented equipment can be used either during EEG examination or after registration of EEG signals in order to indicate the ocular artifacts. Furthermore, this device is compatible with the EEG software used in clinical practice.

3D PRINTERS - REALITY AND FUTURE. ASPECTS OF INFORMATION SECURITY

На сегодняшний день на современном уровне развития технического прогресса человечество разработало множество устройств и способов создания трехмерных тел (объемных тел), каждый из которых имеет как свои преимущества, так и недостатки. Среди этого перечня особого внимания заслуживают устройства, которые имеют целый ряд неоспоримых преимуществ. Во-первых, они позволяют тиражировать трехмерные тела практически в неограниченных количествах. Во-вторых, точность построения объемных фигур очень высока. В-третьих, они позволяют работать с любыми материалами, в зависимости от применения которых, могут получаться различные трехмерные объекты - от реальных строительных объектов - до реальных тканей и органов растительных и живых организмов. Причем объектов, как макроскопических размеров - десятки метров, так и микроскопических, вплоть до нано уровня. Эти устройства вошли в обиход под названием «3D - принтеры». 3D-принтер - это периферийное устройство для создания физического объекта путем послойного формирования его по его цифровой 3D-модели. Данное устройство тесно связано с нашей жизнью. С каждым днем человек находит новое применение для 3D-принтеров, эти устройства уже являются незаменимыми помощниками во многих сферах нашей жизнедеятельности. Создание 3D-принтера, несомненно, является технологическим прорывом. To date, at the current level of technological progress, humanity has developed many devices and ways to create three-dimensional bodies (volume bodies), each of which has both its advantages and disadvantages.khmer body almost unlimited quantities. Secondly, the accuracy of building 3D shapes is very high. Thirdly, they allow you to work with any materials, depending on the use of which, can be obtained a variety of three-dimensional objects - from real construction sites - to real tissues and organs of plant and living organisms. And objects, both macroscopic sizes - tens of meters, and microscopic, up to the nano level. These devices came into use under the name "3D printers." 3D-printer is a peripheral device for creating a physical object by layering it on its digital 3D-model.

Spiral Antenna with Hilbert Antenna for Body Worn Application

In the present scenario in the field of human health service and body worn application, the major concern is to detect the actual cause of the pain in human body. In this paper the design and proper shape of antenna for a particular body part like knee, elbow or any other joints are presented with the optimized characteristics and comparison between spiral and Hilbert antenna so that the proper parameters like temperature, lubrications or any damage can be analysis. And for security service, the concern is for small size and minimum loss. Now these antenna devices transmit the physiological data from the body for health purpose and for security purpose and desired information will be transmitted from the body to the peripheral device. These two antennas are designed at operating/resonant frequency of 500 MHz with main objectives of minimum size, minimum error, less power consumption and proper shape of antenna to fit the body part after calculating the SAR value.

Pengenalan Perangkat Keras pada Komputer

Hardware atau dalam bahasa Indonesia disebut juga dengan nama perangkat keras komputer adalah salah satu komponen dari sebuah komputer yang sifat alatnya bisa dilihat dan diraba secara langsung atau yang berbentuk nyata, yang berfungsi untuk mendukung proses komputerisasi. Perangkat keras digunakan untuk mengerjakan fungsi-fungsi penyiapan data, pemasukan data, penghitungan, pengawasan perhitungan, penyimpanan, dan pengeluaran (presentasi atau peragaan) hasil. Berdasarkan fungsinya hardware atau perangkat keras komputer dibagi menjadi 5 bagian : Input Device, Process Device, Output Device, Storage Device, Peripheral Device.

Pengenalan Perangkat Keras pada Komputer

Hardware atau dalam bahasa Indonesia disebut juga dengan nama perangkat keras komputer adalah salah satu komponen dari sebuah komputer yang sifat alatnya bisa dilihat dan diraba secara langsung atau yang berbentuk nyata, yang berfungsi untuk mendukung proses komputerisasi. Perangkat keras digunakan untuk mengerjakan fungsi-fungsi penyiapan data, pemasukan data, penghitungan, pengawasan perhitungan, penyimpanan, dan pengeluaran (presentasi atau peragaan) hasil. Berdasarkan fungsinya hardware atau perangkat keras komputer dibagi menjadi 5 bagian : Input Device, Process Device, Output Device, Storage Device, Peripheral Device.

Hardware komputer

Hardware atau dalam bahasa Indonesia disebut juga dengan nama perangkat keras komputer adalah salah satu komponen dari sebuah komputer yang sifat alatnya bisa dilihat dan diraba secara langsung atau yang berbentuk nyata, yang berfungsi untuk mendukung proses komputerisasi. Perangkat keras digunakan untuk mengerjakan fungsi-fungsi penyiapan data, pemasukan data, penghitungan, pengawasan perhitungan, penyimpanan, dan pengeluaran (presentasi atau peragaan) hasil. Berdasarkan fungsinya hardware atau perangkat keras komputer dibagi menjadi 5 bagian : Input Device, Process Device, Output Device, Storage Device, Peripheral Device.

Prediction of Pending Data Using Interpolation and Extrapolation Techniques for Virtual Rowing

The use of peripheral devices could be a good alternative to interact with Virtual Environment in addition to native controllers. Using combination of Concept-II peripheral device with VR mobile will cause latency issues due to different data transmission rates between those components. This latency issue leads to two major problems, such as micro-stutter in Virtual Environment (VE) and distance inaccuracy in time between the Concept-II peripheral device and VR mobile. In this paper, the authors present three algorithms based on interpolation and extrapolation methods, which aim to provide immersive VR experience by ensuring stutter-free and accurate rowing sessions for the user. This is relevance when considering the adoption of peripheral devices (i.e. the Concept-II peripheral device) as an alternative to interact with Virtual Environment in addition to native controllers. Predicting virtual rowing shell’s position using interpolation by position method gives accurate time results but introduces high amount of micro-stutter. Using extrapolation method by taking speed parameter to predict rowing shell’s position has very high time error but gives pleasant, stutter-free virtual rowing experience. Finally, adding this speed parameter a correction constant value for predicting virtual rowing shell’s position provides stutter-free and very accurate in time rowing session for the user.

EEG Based Headband for Emotion Detection

EEG is the term used for recording the brain electrical activity. In Electroencephalography, the encephalon means brain. EEG measures electrical activity generated by thousands of neurons that exists in human brain. The brain electrical activity is measured in voltages. This paper is focused on recognizing emotion from human activity, measured by EEG signals. Making the computer more empathic to the user is one of the aspects of affective computing. With EEG-based emotion detection, the computer can actually take a look inside user’s head to observe their mental state. A low power, low noise and high sensitive analog signal from brain decoded into filtered digital output. The decoder picks a low amplitude and a microvolt signal from brain and decodes it into a filtered and amplified output. As of thelatestattentiongiving fromexaminationteam in creatingsensitivecommunicationamong human beings and peripheral device, the proof of identity of emotive state of the previousdeveloped a necessity. Electro-encephalography establishedimportantconsideration from scientists, becausethey establish modest, inexpensive, transportable, and easily solving theidentification of mind states in this paper.[2] In this paper, it provide a comprehensive overviewfrompresent works in emotion detection using EEG signals