دانلود و نمایش مقالات مرتبط با آرایه دروازه قابل برنامه ریزی (FPGA)::صفحه 1
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نتیجه جستجو - آرایه دروازه قابل برنامه ریزی (FPGA)

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Real-time monitoring of the athletes musculoskeletal health based on an embedded processor
نظارت بر زمان واقعی سلامت اسکلتی عضلانی ورزشکار بر اساس پردازنده تعبیه شده-2021
In this paper, we use wireless sensor network in motion analysis and computer vision processing. We mainly monitor and analyze various kinds of motion through wireless sensor network. When dealing with computer vision, we use wireless sensor networks to capture moving objects and analyze their detailed motion parameters. We mainly use two types of sensors to receive information, and then fuse the data they receive. These data can be applied in various fields, such as robot field. In this study, we also proposed the predictive data analysis technology, which can be used to determine the health status of the body by monitoring the robot and movement under certain conditions. At the same time, this technology can also be applied to the rehabilitation training of the injured patients. This technique can not only be used in exercise analysis, but also provide some useful suggestions and optimal exercise time for patients and rehabilitation training, which is very helpful for patients and rehabilitation and strength training. In this paper, the pilot and work is simulated by different actions, and a large number of visual motion data are generated in the experiment. In addition, we also explored some elderly patients with dyskinesia, and carried out disease monitoring and exercise monitoring on them.
Keywords: Athlete’s health Monitoring | Predictive data analysis technique (PDAT) | Field programmable gate array (FPGA)
مقاله انگلیسی
2 ECG encryption and identification based security solution on the Zynq SoC for connected health systems
رمزگذاری ECG و شناسایی بر اساس راه حل امنیتی در Zynq SoC برای سیستم های بهداشتی متصل-2017
Article history:Received 10 May 2016 Received in revised form 12 November 2016Accepted 12 December 2016Available online 23 December 2016Keywords:Advanced encryption standard (AES)Electrocardiogram (ECG) encryption and identificationField programmable gate array (FPGA) Zynq7 system on chip (SoC)Connected health is a technology that associates medical devices, security devices and communication technologies. It enables patients to be monitored and treated remotely from their home. Patients’ data and medical records within a connected health system should be securely stored and transmitted for further analysis and diagnosis. This paper presents a set of security solutions that can be deployed in a connected health environment, which includes the advanced encryption standard (AES) algorithm and electrocardiogram (ECG) identification system. Efficient System-on-Chip (SoC) implementations for the proposed algorithms have been carried out on the Xilinx ZC702 prototyping board. The Achieved hardware implementation results have shown that the proposed AES and ECG identification based system met the real-time requirements and outperformed existing field programmable gate array (FPGA)-based systems in different key performance metrics such as processing time, hardware resources and power consumption. The proposed systems can process an ECG sample in 10.71 ms and uses only 30% of the available hardware resources with a power consumption of 107 mW.© 2016 Elsevier Inc. All rights reserved.
Keywords:Advanced encryption standard (AES) | Electrocardiogram (ECG) encryption andidentification | Field programmable gate array (FPGA) | Zynq7 system on chip (SoC)
مقاله انگلیسی
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