scholarly journals A Low-Latency, Low-Power FPGA Implementation of ECG Signal Characterization Using Hermite Polynomials

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2324
Author(s):  
Madhav P. Desai ◽  
Gabriel Caffarena ◽  
Ruzica Jevtic ◽  
David G. Márquez ◽  
Abraham Otero
Keyword(s):  
Low Power ◽  
Real Time ◽  
Hardware Implementation ◽  
Low Cost ◽  
Hermite Polynomials ◽  
Average Power ◽  
Hermite Functions ◽  
Ecg Signal ◽  
Real Time Processing ◽  
Signal Characterization

Automatic ECG signal characterization is of critical importance in patient monitoring and diagnosis. This process is computationally intensive, and low-power, online (real-time) solutions to this problem are of great interest. In this paper, we present a novel, dedicated hardware implementation of the ECG signal processing chain based on Hermite functions, aiming for real-time processing. Starting from 12-bit ADC samples of the ECG signal, the hardware implements filtering, peak and QRS detection, and least-squares Hermite polynomial fit on heartbeats. This hardware module can be used to compress ECG data or to perform beat classification. The hardware implementation has been validated on a Field Programmable Gate Array (FPGA). The implementation is generated using an algorithm-to-hardware compiler tool-chain and the resulting hardware is characterized using a low-cost off-the-shelf FPGA card. The single-beat best-fit computation latency when using six Hermite basis polynomials is under 1 s with a throughput of 3 beats/s and with an average power dissipation around 28 mW, demonstrating true real-time applicability.

A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN

2021 ◽  
pp. 1-1
Author(s):  
Laura Falaschetti ◽  
Lorenzo Manoni ◽  
Romel Calero Fuentes Rivera ◽  
Danilo Pau ◽  
Gianfranco Romanazzi ◽  
...  
Keyword(s):  
Low Power ◽  
Real Time ◽  
Low Cost ◽  
Image Detector ◽  
Esca Disease ◽  
Real Time Image ◽  
Grape Leaf ◽  
Time Image

scholarly journals Digital Vein Mapping Using Augmented Reality

2020 ◽  
Vol 13 (6) ◽  
pp. 512-521
Author(s):  
Mohamed Taha ◽  
◽  
Mohamed Ibrahim ◽  
Hala Zayed ◽  
◽  
...  
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Infrared Radiation ◽  
Low Cost ◽  
Economic Cost ◽  
Frame Rate ◽  
Infrared Light ◽  
Real Time Processing ◽  
And Gender ◽  
Time Systems

Vein detection is an important issue for the medical field. There are some commercial devices for detecting veins using infrared radiation. However, most of these commercial solutions are cost-prohibitive. Recently, veins detection has attracted much attention from research teams. The main focus is on developing real-time systems with low-cost hardware. Systems developed to reduce costs suffer from low frame rates. This, in turn, makes these systems not suitable for real-world applications. On the other hand, systems that use powerful processors to produce high frame rates suffer from high costs and a lack of mobility. In this paper, a real-time vein mapping prototype using augmented reality is proposed. The proposed prototype provides a compromised solution to produce high frame rates with a low-cost system. It consists of a USB camera attached to an Android smartphone used for real-time detection. Infrared radiation is employed to differentiate the veins using 20 Infrared Light Emitting Diodes (LEDs). The captured frames are processed to enhance vein detection using light computational algorithms to improve real-time processing and increase frame rate. Finally, the enhanced view of veins appears on the smartphone screen. Portability and economic cost are taken into consideration while developing the proposed prototype. The proposed prototype is tested with people of different ages and gender, as well as using mobile devices of different specifications. The results show a high vein detection rate and a high frame rate compared to other existing systems.

Efficient and Robust Approach for Heartbeat Detection of ECG Signal

2019 ◽  
Vol 29 (08) ◽  
pp. 2050133
Author(s):  
Anas Fouad Ahmed ◽  
Mohammed Abdulmunem Ahmed ◽  
Hussain Mustafa Bierk
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Suggested Method ◽  
The Other ◽  
Ecg Signal ◽  
Excellent Performance ◽  
Robust Approach ◽  
Different Types ◽  
Three Stages ◽  
Electrocardiogram Ecg

This paper introduces an efficient and robust method for heartbeat detection based on the calculated angles between the successive samples of electrocardiogram (ECG) signal. The proposed approach involves three stages: filtering, computing the angles of the signal and thresholding. The suggested method is applied to two different types of ECG databases (QTDB and MIT-BIH). The results were compared with the other algorithms suggested in previous works. The proposed approach outperformed the other algorithms, in spite of its simplicity and their fast calculations. These features make it applicable in real-time ECG diagnostics systems. The suggested method was implemented in real-time using a low cost ECG acquisition system and it shows excellent performance.

Event Processing-based Low-Power Low-Cost Wireless Sensor Network for Real Time Wildfire Monitoring

2020 ◽  
Vol 69 (5) ◽  
pp. 706-718
Author(s):  
Sangho Choe ◽  
Jeong-Hwa Yoo ◽  
Ponsuge Surani Shalika Tissera ◽  
Jo-In Kang ◽  
Hee-Kyung Yang
Keyword(s):  
Wireless Sensor Network ◽  
Low Power ◽  
Real Time ◽  
Sensor Network ◽  
Low Cost ◽  
Wireless Sensor ◽  
Event Processing

scholarly journals WIRELESS REAL TIME PROPORTIONAL CONTROL SYSTEM

2013 ◽  
pp. 15-20
Author(s):  
UJJWALA G. BORATE ◽  
PROF. R.T. PATIL
Keyword(s):  
Low Power ◽  
Real Time ◽  
Low Cost ◽  
Ultra Low Power ◽  
Proportional Control ◽  
Star Network ◽  
Precise Control ◽  
Zigbee Technology ◽  
Temperature And Humidity ◽  
Transceiver Module

This system provides low power consuming and low cost wireless sensor network. This system provides a real time temperature and humidity. It also gives proportional control action. This system consists of TI’s MSP430 microcontroller which consumes ultra low power and improves the overall system performance. The Sensorion’s SHT 11 sensor is used to measure temperature and humidity. Sensor SHT 11 consumes low power and gives the fully calibrated digital output. Zigbee technology is used for wireless communication. Zigbee is low power consuming transceiver module. It operates within the ISM 2.4 GHz frequency band. AT and API command modes configure module parameters. RF data rate is 250 kbps. To achieve the proportional control triac and MOC 3022 are used. The star network topology is implemented. The temperature of earth goes on increasing due to global warming, deforestation, pollution, etc. Due to this the temperature of atmosphere also increases which is harmful and dangerous for many systems. This system provides precise control of temperature and humidity in Green House, Art Galleries and Industries.

scholarly journals Low power GPS drifters with local storage and GSM modem made from off the shelf components

2019 ◽  
Author(s):  
Rolf Hut ◽  
Thanda Thatoe Nwe Win ◽  
Thom Bogaard
Keyword(s):  
Software Engineering ◽  
Low Power ◽  
Real Time ◽  
Low Cost ◽  
Gps Receivers ◽  
Open Hardware ◽  
Hydrodynamic Behaviour ◽  
Extensive Training ◽  
Hardware Component ◽  
Local Storage

Abstract. Drifters that track their position are important tools in studying the hydrodynamic behaviour of rivers. Drifters that can be tracked in real time have so far been rather expensive. Recently both GPS receivers and GSM modems have become available at lower prices to tinkering scientists due to the rise of the Open Hardware revolution and the associated Arduino ecosystem. This article serves two goals. Firstly, we provide detailed instructions on how to build a Low Power GPS drifter with local storage and GSM model that we tested in a fieldwork on the confluence of the Chindwin and Ayeyarwady rivers in Myanmar. These instructions allow fellow geoscientists to recreate the device. Secondly, we set the question: "Has the Open Hardware revolution progressed to the point that a low power GPS drifter that wireless transmits its position can be made from Open Hardware component by geoscientists without extensive training or expertise in electrical and software engineering? We feel this question is relevant and timely as more low-cost Open Hardware devices are promoted but in practice applicability often is restricted to the 'tinkering engineer'. We argue that because of the plug and play nature of the components geoscientist should be able to construct these type of devices. However, to get such devices to operate at low power levels that fieldwork often requires detailed (mircro)electrical expertise.

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