Real time acquisition and PC to PC wireless transmission of human carotid pulse waveform

2009 ◽  
Vol 39 (10) ◽  
pp. 915-920 ◽  
Author(s):  
Dipali Bansal ◽  
Munna Khan ◽  
Ashok K. Salhan
Keyword(s):  
Real Time ◽  
Wireless Transmission ◽  
Pulse Waveform ◽  
Time Acquisition ◽  
Human Carotid

Software System for Unmanned Surface Vehicle Using PCI8602

2014 ◽  
Vol 989-994 ◽  
pp. 3407-3410
Author(s):  
Xiang Shi ◽  
Shi Ming Wang ◽  
Zhe Xu ◽  
Qing Yi He
Keyword(s):  
Control System ◽  
Remote Control ◽  
Real Time ◽  
Communication Protocols ◽  
Visual Basic ◽  
Wireless Transmission ◽  
Software System ◽  
Unmanned Surface Vehicle ◽  
Master Controller ◽  
Time Acquisition

The design of software system for unmanned surface vehicle using PCI8602 is introduced. The software system includes the drive program of PCI8602, wireless transmission program and master controller program. Visual Basic is used to write programs, which doesn’t write complicated communication protocols between each layers and integrating subsystem is easy. At last, the experiment results demonstrate that the control system for USV has a way to real-time acquisition data, sending data and accomplishing remote control.

scholarly journals Real-time imaging of cellular forces using optical interference

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Andrew T. Meek ◽  
Nils M. Kronenberg ◽  
Andrew Morton ◽  
Philipp Liehm ◽  
Jan Murawski ◽  
...  
Keyword(s):  
Cell Culture ◽  
Real Time ◽  
High Throughput ◽  
Mechanical Activity ◽  
Dynamic Processes ◽  
Imaging Method ◽  
Neonatal Cardiomyocytes ◽  
A Cell ◽  
Cellular Forces ◽  
Time Acquisition

AbstractImportant dynamic processes in mechanobiology remain elusive due to a lack of tools to image the small cellular forces at play with sufficient speed and throughput. Here, we introduce a fast, interference-based force imaging method that uses the illumination of an elastic deformable microcavity with two rapidly alternating wavelengths to map forces. We show real-time acquisition and processing of data, obtain images of mechanical activity while scanning across a cell culture, and investigate sub-second fluctuations of the piconewton forces exerted by macrophage podosomes. We also demonstrate force imaging of beating neonatal cardiomyocytes at 100 fps which reveals mechanical aspects of spontaneous oscillatory contraction waves in between the main contraction cycles. These examples illustrate the wider potential of our technique for monitoring cellular forces with high throughput and excellent temporal resolution.

Transfusion Monitoring and Controlling System Based on Wireless Communication

2012 ◽  
Vol 214 ◽  
pp. 579-583
Author(s):  
Jiang Ma ◽  
Yu Qiao Wen ◽  
Ling Yan Du ◽  
Xiao Xiao Liang ◽  
Chong Gang Wei
Keyword(s):  
Communication Network ◽  
Wireless Communication ◽  
Real Time ◽  
Wireless Transmission ◽  
The Core ◽  
Wireless Transceiver ◽  
Controlling System ◽  
Transceiver Module ◽  
Medical Accident

Transfusion monitoring and controlling system of wireless communication is designed for avoidance of medical accident due to inconsiderate care. This system is based on RS-485 bus protocol to build the communication network, consisting of master computer and slave computer. STM32F103R8T6 MCU is the core of the master computer, and MSP430F2132 MCU for slave computer. The wireless transmission of data between master computer and slave computer can be done by nRF905 wireless transceiver module. One new calculation of drop speed is used for better real-time displaying thereof. Provided that abnormal occurrence is during the transfusion, the transfusion tube will be closed by controlling order from system, in order to protect the patient.

A Real-Time Photogrammetric System for Acquisition and Monitoring of Three-Dimensional Human Body Kinematics

2021 ◽  
Vol 87 (5) ◽  
pp. 363-373
Author(s):  
Long Chen ◽  
Bo Wu ◽  
Yao Zhao ◽  
Yuan Li
Keyword(s):  
Real Time ◽  
Human Body ◽  
Graphics Processing Unit ◽  
Three Dimensional ◽  
Stereo Pair ◽  
Processing Unit ◽  
Detection Distance ◽  
Human Kinematics ◽  
Graphics Processing ◽  
Time Acquisition

Real-time acquisition and analysis of three-dimensional (3D) human body kinematics are essential in many applications. In this paper, we present a real-time photogrammetric system consisting of a stereo pair of red-green-blue (RGB) cameras. The system incorporates a multi-threaded and graphics processing unit (GPU)-accelerated solution for real-time extraction of 3D human kinematics. A deep learning approach is adopted to automatically extract two-dimensional (2D) human body features, which are then converted to 3D features based on photogrammetric processing, including dense image matching and triangulation. The multi-threading scheme and GPU-acceleration enable real-time acquisition and monitoring of 3D human body kinematics. Experimental analysis verified that the system processing rate reached ∼18 frames per second. The effective detection distance reached 15 m, with a geometric accuracy of better than 1% of the distance within a range of 12 m. The real-time measurement accuracy for human body kinematics ranged from 0.8% to 7.5%. The results suggest that the proposed system is capable of real-time acquisition and monitoring of 3D human kinematics with favorable performance, showing great potential for various applications.

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