Wireless communication of real-time ultrasound data and control

被引:0
作者
Tobias, Richard J. [1 ]
机构
[1] Cephasonics, Santa Clara, CA 95051 USA
来源
MEDICAL IMAGING 2015: ULTRASONIC IMAGING AND TOMOGRAPHY | 2015年 / 9419卷
关键词
Internet of Things; IoT; Ultrasound; Wireless; mHealth;
D O I
10.1117/12.2082310
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The Internet of Things (IoT) is expected to grow to 26 billion connected devices by 2020,1 plus the PC, smart-phone, and tablet segment that includes mobile Health (mHealth) connected devices is projected to account for another 7.3 billion units by 2020. This paper explores some of the real-time constraints on the data-flow and control of a wireless connected ultrasound machine. The paper will define an ultrasound server and the capabilities necessary for real-time use of the device. The concept of an ultrasound server wirelessly (or over any network) connected to multiple lightweight clients on devices like an iPad, iPhone, or Android-based tablet, smartphone and other network-attached displays (i.e., Google Glass) is explored. Latency in the ultrasound data stream is one of the key areas to measure and to focus on keeping as small as possible (<30ms) so that the ultrasound operator can see what is at the probe at that moment, instead of where the probe was a short period earlier. By keeping the latency less than 30ms, the operator will feel like the data he sees on the wireless connected devices is running in real-time with the operator. The second parameter is the management of bandwidth. At minimum we need to be able to see 20 frames-per-second. It is possible to achieve ultrasound in triplex mode at >20 frames-per-second on a properly configured wireless network. The ultrasound server needs to be designed to accept multiple ultrasound data clients and multiple control clients. A description of the server and some of its key features will be described.
引用
收藏
页数:9
相关论文
共 12 条
[1]  
[Anonymous], GARTNER INTERNET THI
[2]  
Chiuchisan I, 2014, INT CONF EXPO ELECTR, P532, DOI 10.1109/ICEPE.2014.6969965
[3]  
Fang Hu, 2013, 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, Physical and Social Computing (CPSCom), P2053, DOI 10.1109/GreenCom-iThings-CPSCom.2013.384
[4]  
Jara Antonio J., 2010, IEEE CCNC
[5]  
Martins AF, 2014, I SYMP CONSUM ELECTR, P276
[6]  
Nasri Farah, 2014, WORLD C COMP APPL IN, P1
[7]  
Ni XM, 2012, INT CONF CLOUD COMPU, P638, DOI 10.1109/CCIS.2012.6664252
[8]  
Rohokale V.M., 2011, 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace Electronic Systems Technology (Wireless VITAE), P1
[9]  
Sawand A, 2014, IEEE INT CONF COMMUN, P187, DOI 10.1109/ICCChina.2014.7008269
[10]   A Survey of Technologies in Internet of Things [J].
Tan, Jasper ;
Koo, Simon G. M. .
2014 IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (IEEE DCOSS 2014), 2014, :269-274