scholarly journals Energy-Efficient FPGA Accelerator with Fidelity-Controllable Sliding-Region Signal Processing Unit for Abnormal ECG Diagnosis on IoT Edge Devices

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Dongkyu Lee ◽  
Seungmin Lee ◽  
Sejong Oh ◽  
Daejin Park
Keyword(s):  
Signal Processing ◽  
Energy Efficient ◽  
Processing Unit ◽  
Signal Processing Unit

Measurements of Strain in Ceramic Components Using Magnetostrictive Delay Line

2009 ◽  
Vol 154 ◽  
pp. 29-33
Author(s):  
Roman Szewczyk ◽  
Jacek Salach ◽  
Adam Bieńkowski ◽  
Marek Kostecki ◽  
Andrzej Roman Olszyna ◽  
...  
Keyword(s):  
Signal Processing ◽  
Amorphous Alloy ◽  
Integrated Circuit ◽  
Delay Line ◽  
Processing Unit ◽  
Delay Lines ◽  
Ceramic Component ◽  
Tool Monitoring ◽  
Ceramic Components ◽  
Signal Processing Unit

Paper presents a novel application of magnetostrictive delay lines, which give a possibility of real time monitoring of strain in ceramic components. Magnetostrictive delay line was based on highly magnetostrictive Fe-Si-B amorphous alloy ribbon, mounted outside of ceramic component, what is a new solution for increasing sensor’s sensitivity. Developed specially for this sensor, hybrid digital-analog signal processing unit covers the sample-and-hold integrated circuit. The achived sensitivity and repeatability of the sensor confirms, that such solution is suitable for ceramic machine tool monitoring.

Design of PowerPC-Based Radar Universal Signal Processing Unit

2013 ◽  
Vol 760-762 ◽  
pp. 1360-1363
Author(s):  
Ji Yong He ◽  
Xiang Guang Chen
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Rapid Development ◽  
Superior Performance ◽  
Radar Signal ◽  
Time Signal ◽  
Processing Unit ◽  
Complex Data ◽  
Interface Definition ◽  
Signal Processing Unit

With the rapid development of radar system, it has put forward higher requirements in the ability of real-time signal processing, the capability of data processing and the versatility of signal processing platforms. The signal processing unit based on PowerPC processor MPC8640D can complete the calculation of complex data using the superior performance of the processor. The combination of embedded operating system VxWorks can meet the real-time requirement of the radar signal processing perfectly. Universal IO interface definition of PowerPC processors make the designed signal processing unit own excellent versatility. The use of muti-beam digital synthesis technique and the vector library in software development improves the signal processing further more.

An FPGA-Based Brain-Computer Interface for Wireless Electric Wheelchairs

2013 ◽  
Vol 284-287 ◽  
pp. 1616-1621 ◽  
Author(s):  
Jzau Sgeng Lin ◽  
Sun Ming Huang
Keyword(s):  
Signal Processing ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Signal Acquisition ◽  
Processing Unit ◽  
Electric Wheelchair ◽  
Brain Waves ◽  
Compact Size ◽  
Bci System ◽  
Signal Processing Unit

A wireless EEG-based brain-computer interface (BCI) and an FPGA-based system to control electric wheelchairs through a Bluetooth interface was proposed in this paper for paralyzed patients. Paralytic patients can not move freely and only use wheelchairs in their daily life. Especially, people getting motor neuron disease (MND) can only use their eyes and brain to exercise their willpower. Therefore, real-time EEG and winking signals can help these patients effectively. However, current BCI systems are usually complex and have to send the brain waves to a personal computer or a single-chip microcontroller to process the EEG signals. In this paper, a simple BCI system with two channels and an FPGA-based circuit for controlling DC motor can help paralytic patients easily to drive the electric wheelchair. The proposed BCI system consists of a wireless physiological with two-channel acquisition module and an FPGA-based signal processing unit. Here, the physiological signal acquisition module and signal processing unit were designed for extracting EEG and winking signals from brain waves which can directly transformed into control signals to drive the electric wheelchairs. The advantages of the proposed BCI system are low power consumption and compact size so that the system can be suitable for the paralytic patients. The experimental results showed feasible action for the proposed BCI system and drive circuit with a practical operating in electric wheelchair applications.

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