Aortic Root Dissection In A Patient With Previous Aortic Valve Replacement Due To External Automated Chest Compression Device For Cardiac Arrest

Myocardial damage from external cardiac massage can occur with either manual massage or with an automatic external device. We report the case of a patient with an aortic valve bioprosthesis undergoing advanced resuscitation with an automated external device for out-of-hospital-cardiac arrest, in whom the prolonged compressions caused an aortic root dissection.

Arduino Digital Clock without RTC Module

This paper analyzes a clock using Arduino without Real time clock (RTC). The development of the digital clock in Arduino is to provide its own time without RTC. Generally, electronic circuit designers use RTC to construct a clock. Such a circuit requires an extra circuit and power. The CMOS battery supplies power to the RTC, once the CMOS battery power is discharged. It automatically erases the date and time and requires an update from an external device. Considering these facts, RTC is avoided and code with nested looping is used to maintain timing in Arduino. It enables us to modify the time using a keypad and LCD without an external device. Continuous power is supplied to the Arduino using a battery backup. Such a circuit is simple with reduced code. All features available in RTC are available in this circuit. Keywords: Arduino Atmega 328P, RTC, LCD16 x 2, Keypad 4x3.

Quantitative comparison of data-driven gating and external hardware gating for 18F-FDG PET-MRI in patients with esophageal tumors

Background Respiratory motion during PET imaging reduces image quality. Data-driven gating (DDG) based on principal component analysis (PCA) can be used to identify respiratory signals. The use of DDG, without need for external devices, would greatly increase the feasibility of using respiratory gating in a routine clinical setting. The objective of this study was to evaluate data-driven gating in relation to external hardware gating and regular static image acquisition on PET-MRI data with respect to SUVmax and lesion volumes. Methods Sixteen patients with esophageal or gastroesophageal cancer (Siewert I and II) underwent a 6-min PET scan on a Signa PET-MRI system (GE Healthcare) 1.5–2 h after injection of 4 MBq/kg 18F-FDG. External hardware gating was done using a respiratory bellow device, and DDG was performed using MotionFree (GE Healthcare). The DDG raw data files and the external hardware-gating raw files were created on a Matlab-based toolbox from the whole 6-min scan LIST-file. For comparison, two 3-min static raw files were created for each patient. Images were reconstructed using TF-OSEM with resolution recovery with 2 iterations, 28 subsets, and 3-mm post filter. SUVmax and lesion volume were measured in all visible lesions, and noise level was measured in the liver. Paired t-test, linear regression, Pearson correlation, and Bland-Altman analysis were used to investigate difference, correlation, and agreement between the methods. Results A total number of 30 lesions were included in the study. No significant differences between DDG and external hardware-gating SUVmax or lesion volumes were found, but the noise level was significantly reduced in the DDG images. Both DDG and external hardware gating demonstrated significantly higher SUVmax (9.4% for DDG, 10.3% for external hardware gating) and smaller lesion volume (− 5.4% for DDG, − 6.6% for external gating) in comparison with non-gated static images. Conclusions Data-driven gating with MotionFree for PET-MRI performed similar to external device gating for esophageal lesions with respect to SUVmax and lesion volume. Both gating methods significantly increased the SUVmax and reduced the lesion volume in comparison with non-gated static acquisition. DDG resulted in reduced image noise compared to external device gating and static images.

Computer architecture and John von Neumann principles

The program is stored in the machine's memory from any external device. The control device organizes its execution, taking into account the program in memory. The mathematical-logical device performs mathematical and logical calculations in accordance with the entered commands. Thus, the computer performs calculations without human assistance. Key words: computer, software, device, information, scheme

Numerical and Experimental Analysis of Sound Suppressor for a 5.56 mm Calibre

A sound suppressor is an internal or external device coupled to the barrel of a firearm. Its development has been historically related to the negative effects produced by the noise. This article presents the numerical and experimental analysis of a sound suppressor for a 5.56 mm caliber rifle. It was designed, manufactured, and tested inside a shooting tunnel for 911 m/s and 344 m/s velocities. Three geometric configurations with curved deflectors, conical deflectors, and finally with a reactive spiral capable of dissipating the acoustic wave were compared considering reactive and dissipative systems. The attenuation of the sound inside the silencer depends directly on the reduction of the projectile wave velocity and the deflagration of the gases at the instant of firing. Then the MIL-STD-1474E standard was used to carry out the experiments. The results in the computational numerical simulation show an average value of 143 dB for the considered three models, the Sound Pressure Level in the reactive core model decreased by 25% with respect to other proposals, which have an average value of 141 dB. These results can be useful to improve in the design of sound suppressors based on the needs of the users and under the specific characteristics of each weapon ballistic.

Clinical Applications of Brain Computer Interfaces : A Boon for the Future

Brain-computer interface (BCI) is the technology act as a interface between the brain and an external device. It converts the signals emitted by the CNS of the brain to artificial output to be understood by the computer. This technology will be most useful to the severely disabled individual or people suffering from amyotrophic lateral sclerosis, brainstem stroke, or any spinal cord injury and thus are impaired of tier ability to communicate and physical functioning. With the fast-paced development and interest of various top-notch companies in this arena due to its positive future Efforts have begun recently to provide safe and secure BCI systems to severely disabled individuals to make their lives easier. In this paper, we will know about BCI , its basic functioning. We will also discuss its clinical application, p300 speller, and its potential for future. Lastly expectation from the future.

A Hybrid Catheter Localisation Framework in Echocardiography Based on Electromagnetic Tracking and Deep Learning Segmentation

Interventional cardiology procedure is an important type of minimally invasive surgery that deals with the catheter-based treatment of cardiovascular diseases, such as coronary artery diseases, strokes, peripheral arterial diseases and aortic diseases. Ultrasound imaging, also called echocardiography, is a typical imaging tool that monitors catheter puncturing. Localising a medical device accurately during cardiac interventions can help improve the procedure’s safety and reliability under ultrasound imaging. However, external device tracking and image-based tracking methods can only provide a partial solution. Thus, we proposed a hybrid framework, with the combination of both methods to localise the catheter tip target in an automatic way. The external device used was an electromagnetic tracking system from North Digital Inc (NDI) and the ultrasound image analysis was based on UNet, a deep learning network for semantic segmentation. From the external method, the tip’s location was determined precisely, and the deep learning platform segmented the exact catheter tip automatically. This novel hybrid localisation framework combines the advantages of external electromagnetic (EM) tracking and deep-learning-based image method, which offers a new solution to identify the moving medical device in low-resolution ultrasound images.Featured ApplicationThis framework can be applied to other medical-device localisation fields to help doctors identify a moving target in low-resolution ultrasound images.

USING BRAIN-COMPUTER INTERFACE TECHNOLOGY AS A CONTROLLER IN VIDEO GAMES

Nowadays, control in video games is based on the use of a mouse, keyboard and other controllers. A Brain Computer Interface (BCI) is a special interface that allows direct communication between the brain and the appropriate external device. Brain Computer Interface technology can be used for commercial purposes, for example as a replacement for a keyboard, mouse or other controller. This article presents a method of controlling video games using the EMOTIV EPOC + Neuro Headset as a controller.