scholarly journals Multi-Channel Data Acquisition System Based on FPGA and STM32

2020 ◽  
Vol 38 (2) ◽  
pp. 351-358
Author(s):  
Yue Zhang ◽  
Linwei Tao
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Dynamic Range ◽  
Sampling Rate ◽  
High Capacity ◽  
Acquisition System ◽  
Total Power ◽  
Low Power Consumption ◽  
Signal Acquisition ◽  
And Storage

In order to realize the acquisition and storage of underwater acoustic signals for aiming at the requirements of multi-channel, low power consumption and small volume for underwater receiver extension of sonar system, a multi-channel signal acquisition and storage system based on FPGA and STM32 with variable number of working channels and sampling frequency is designed, in which the system is consisted of 8 pieces, 8 channel and 24 bits high dynamic range Δ-Σ ADS1278 ADC chip to synchronous multi-channel analog signal acquisition. FPGA, as the acquisition sequence and logic control, reads and collates the ADC chip data and writes it into the internal high-capacity FIFO, and adds corresponding operations according to the characteristics of FIFO in an application. SMT32 single-chip microcomputer reads the FIFO data through the high-speed SPI interface with FPGA and writes the multi-channel data into the high-capacity SD card. The testing results have verified that the system has characteristics such as stable and reliable, easy configuration, low power consumption, can guarantee the multichannel data serial transmission, storage, accurate, up to 64 analog signals at the same time the real-time collection and storage, top 20 kHz sampling rate, the system total power of the system of about 3W, data rates up to 100 Mb/s, fully meet the needs of underwater sound acquisition system.

A New Low Power Photoplethysmography Signal Acquisition System For Mental Stress Estimation

2021 ◽  
Author(s):  
Rajeev Kumar Pandey ◽  
Paul C.-P. Chao
Keyword(s):  
Standard Deviation ◽  
Power Consumption ◽  
Low Power ◽  
Dynamic Range ◽  
Acquisition System ◽  
Total Power ◽  
Signal Acquisition ◽  
Readout System ◽  
Pulse Rate Variability ◽  
Total Power Consumption

Abstract This study presents a new low power and robust reflectance type optical Photoplethysmography (PPG) acquisition system for the mental distress estimation. The front-end circuit is implemented in the integrated chip with chip area of 1200μm × 1200μm and fabricated via TSMC T18 process. The sensing range of the readout circuit is 20nA to 11μA, and the total power consumption of the readout system is 100μW. The total power consumption of the design chip including the OLED driver power is 1.64mW. The designed acquisition system is applied to the wrist artery of the two healthy patients when they are calculating the pictorial puzzles and when they are in relax state. The statistical deviation of the heart rate (HR) from the average HR is increased when subjects are in the stress. Also, the standard deviation of pulse rate variability (PRV), the dynamic range of pulse repetition time (PRT), and the standard deviation of PRV derivative show the increasing temporal value when subjects are in the stress.

scholarly journals CMOS Operational Floating Current Conveyor Circuit for Instrumentation Amplifier Application

2020 ◽  
pp. 317-323
Author(s):  
Fahmi Elsayed ◽  
◽  
Mostafa Rashdan ◽  
Mohammad Salman
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Current Conveyor ◽  
Total Power ◽  
Low Power Consumption ◽  
Instrumentation Amplifier ◽  
Fully Integrated ◽  
Total Power Consumption ◽  
High Bandwidth ◽  
Operational Floating Current Conveyor

This paper presents a fully integrated CMOS Operational Floating Current Conveyor (OFCC) circuit. The proposed circuit is designed for instrumentation amplifier circuits. The CMOS OFCC circuit is designed and simulated using Cadence in TSMC 90 m technology kit. The circuit aims at two different design goals. The first goal is to design a low power consumption circuit (LBW design) while the second is to design a high bandwidth circuit (HBW design). The total power consumption of the LBW design is 1.26 mW with 30 MHz bandwidth while the power consumption of the HBW design is 3 mW with 104.6 MHz bandwidth.

A fully integrted RSSI with wide dynamic range, low power consumption in DVB-H.

2008 ◽  
Author(s):  
Chang-Jin Jeong ◽  
Seok-Ju Yun ◽  
Jin-Taek Lee ◽  
Jeong-Seon Lee ◽  
Sang-Gug Lee
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Dynamic Range ◽  
Low Power Consumption ◽  
Wide Dynamic Range

The Design of Portable Electromyograph and Induced Instrument

2012 ◽  
Vol 482-484 ◽  
pp. 439-443
Author(s):  
Gang Qin ◽  
Han Li ◽  
Xiao Gang Feng
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
High Performance ◽  
Low Power Consumption ◽  
Price Ratio ◽  
Semg Signal ◽  
Main Processor ◽  
Complete Functions ◽  
Low Performance ◽  
And Storage

Aiming at the complex operation , low performance-to-price ratio and the weak adaptability of the like products at present, this paper designs one type of portable electromyograph and induced instrument, The detector uses S3C2440, low power consumption but high performance ,as its main processor. it designs sEMG signal detection module by itself, and proceed electromyography collection, display and storage in time. The practical use shows that the instrument is chiefly featured by complete functions, low power consumption, simple portable, low price, and extensive application etc.

Design of Distributed Pulse Data Acquisition System

2013 ◽  
Vol 756-759 ◽  
pp. 756-759
Author(s):  
Shu Guang Wu ◽  
Jian Xiang Chen
Keyword(s):  
Cardiovascular Disease ◽  
Power Consumption ◽  
Low Power ◽  
Data Acquisition ◽  
Therapeutic Efficacy ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Low Power Consumption ◽  
Electronic Products ◽  
Embedded Microprocessor

The design of the wireless distributive data acquisition system has been presented based on MSP430 embedded microprocessor and nRF24C01 module for the native mobile telemedicine. The focus of portable electronic products is Low Power Consumption and accuracy of data acquisition. Pulse data acquisition has been simulated with Self-adapting Selection operation, and the data provides a reliable gist for the prevention, treatment, diagnosis and therapeutic efficacy of cardiovascular disease.

scholarly journals Development of an Integrated EEG/fNIRS Brain Function Monitoring System

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7703
Author(s):  
Manal Mohamed ◽  
Eunjung Jo ◽  
Nourelhuda Mohamed ◽  
Minhee Kim ◽  
Jeong-dae Yun ◽  
...  
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Monitoring System ◽  
Low Cost ◽  
Sampling Rate ◽  
Brain Diseases ◽  
Low Power Consumption ◽  
Light Weight ◽  
Fully Integrated ◽  
Brain Monitoring

In this study, a fully integrated electroencephalogram/functional near-infrared spectroscopy (EEG/fNIRS) brain monitoring system was designed to fulfill the demand for a miniaturized, light-weight, low-power-consumption, and low-cost brain monitoring system as a potential tool with which to screen for brain diseases. The system is based on the ADS1298IPAG Analog Front-End (AFE) and can simultaneously acquire two-channel EEG signals with a sampling rate of 250 SPS and six-channel fNIRS signals with a sampling rate of 8 SPS. AFE is controlled by Teensy 3.2 and powered by a lithium polymer battery connected to two protection circuits and regulators. The acquired EEG and fNIRS signals are monitored and stored using a Graphical User Interface (GUI). The system was evaluated by implementing several tests to verify its ability to simultaneously acquire EEG and fNIRS signals. The implemented system can acquire EEG and fNIRS signals with a CMRR of −115 dB, power consumption of 0.75 mW/ch, system weight of 70.5 g, probe weight of 3.1 g, and a total cost of USD 130. The results proved that this system can be qualified as a low-cost, light-weight, low-power-consumption, and fully integrated EEG/fNIRS brain monitoring system.

scholarly journals Low Power CMOS-Based Hall Sensor with Simple Structure Using Double-Sampling Delta-Sigma ADC

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5285
Author(s):  
Juyong Lee ◽  
Younggyun Oh ◽  
Sein Oh ◽  
Hyungil Chae
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Simple Structure ◽  
Hall Sensor ◽  
Total Power ◽  
Low Power Consumption ◽  
Double Sampling ◽  
Cmos Process ◽  
Delta Sigma ◽  
Total Power Consumption

A CMOS (Complementary metal-oxide-semiconductor) Hall sensor with low power consumption and simple structure is introduced. The tiny magnetic signal from Hall device could be detected by a high-resolution delta-sigma ADC in presence of offset and flickering noise. Also, the offset as well as the flickering noise are effectively suppressed by the current spinning technique combined with double sampling switches of the ADC. The double sampling scheme of the ADC reduces the operating frequency and helps to reduce the power consumption. The prototype Hall sensor is fabricated in a 0.18-µm CMOS process, and the measurement shows detection range of ±150 mT and sensitivity of 110 µV/mT. The size of active area is 0.7 mm2, and the total power consumption is 4.9 mW. The proposed system is advantageous not only for low power consumption, but also for small sensor size due to its simplicity.

A Wireless Pulse Signal Acquisition System for Status Monitoring of Ship Navigators

2011 ◽  
Vol 301-303 ◽  
pp. 1052-1059
Author(s):  
Ying Zhe Lu ◽  
Wen Lu Yang
Keyword(s):  
Power Consumption ◽  
Pulse Signal ◽  
Wireless Transmission ◽  
Acquisition System ◽  
Low Power Consumption ◽  
Signal Acquisition ◽  
Timing Acquisition ◽  
Safe Navigation ◽  
Status Monitoring ◽  
Spi Interface

A design of wireless pulse signal acquisition system for status monitoring of ship navigators has been presented. The system employs STC12LE5608AD as controller for timing acquisition of the pulse signal. And then the data are written to the register of CC2500 via SPI interface and transmitted. When the receiver takes the data, the MCU reads the data from the receiver register of CC2500. Finally the MCU send the data to computer via UART for display and further processing. Wireless transmission insures that the system can analyze the degree of navigators' fatigue objectively and quantifiably without affecting their operation of the ship. The system serves as a warning for fatigue navigation. This system has advantages of low power consumption and portability. It has the practical value of safe navigation of ships.

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