A hardware/software codesign for improved data acquisition in a processor based embedded system

2000 ◽  
Vol 24 (3) ◽  
pp. 129-134 ◽  
Author(s):  
F. Thomas ◽  
M.M. Nayak ◽  
S. Udupa ◽  
J.K. Kishore ◽  
V.K. Agrawal
Keyword(s):  
Embedded System ◽  
Data Acquisition

scholarly journals Addressing the Data Acquisition Paradigm in the Early Detection of Pediatric Foot Deformities

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4422
Author(s):  
Paul D. Rosero-Montalvo ◽  
Edison A. Fuentes-Hernández ◽  
Manuel E. Morocho-Cayamcela ◽  
Luz M. Sierra-Martínez ◽  
Diego H. Peluffo-Ordóñez
Keyword(s):  
Early Detection ◽  
Embedded System ◽  
Data Acquisition ◽  
School Children ◽  
Pressure Sensors ◽  
Foot Deformities ◽  
Flat Feet ◽  
Child Patients ◽  
Pediatric Foot ◽  
Serious Injuries

The analysis of plantar pressure through podometry has allowed analyzing and detecting different types of disorders and treatments in child patients. Early detection of an inadequate distribution of the patient’s weight can prevent serious injuries to the knees and lower spine. In this paper, an embedded system capable of detecting the presence of normal, flat, or arched footprints using resistive pressure sensors was proposed. For this purpose, both hardware- and software-related criteria were studied for an improved data acquisition through signal coupling and filtering processes. Subsequently, learning algorithms allowed us to estimate the type of footprint biomechanics in preschool and school children volunteers. As a result, the proposed algorithm achieved an overall classification accuracy of 97.2%. A flat feet share of 60% was encountered in a sample of 1000 preschool children. Similarly, flat feet were observed in 52% of a sample of 600 school children.

scholarly journals Towards Continuous and Ambulatory Blood Pressure Monitoring: Methods for Efficient Data Acquisition for Pulse Transit Time Estimation

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7106
Author(s):  
Oludotun Ode ◽  
Lara Orlandic ◽  
Omer T. Inan
Keyword(s):  
Blood Pressure ◽  
Embedded System ◽  
Data Acquisition ◽  
Transit Time ◽  
Ambulatory Blood Pressure ◽  
Field Experiments ◽  
Control Method ◽  
Pulse Transit Time ◽  
Huffman Coding ◽  
Physiological Data

We developed a prototype for measuring physiological data for pulse transit time (PTT) estimation that will be used for ambulatory blood pressure (BP) monitoring. The device is comprised of an embedded system with multimodal sensors that streams high-throughput data to a custom Android application. The primary focus of this paper is on the hardware–software codesign that we developed to address the challenges associated with reliably recording data over Bluetooth on a resource-constrained platform. In particular, we developed a lossless compression algorithm that is based on optimally selective Huffman coding and Huffman prefixed coding, which yields virtually identical compression ratios to the standard algorithm, but with a 67–99% reduction in the size of the compression tables. In addition, we developed a hybrid software–hardware flow control method to eliminate microcontroller (MCU) interrupt-latency related data loss when multi-byte packets are sent from the phone to the embedded system via a Bluetooth module at baud rates exceeding 115,200 bit/s. The empirical error rate obtained with the proposed method with the baud rate set to 460,800 bit/s was identically equal to 0%. Our robust and computationally efficient physiological data acquisition system will enable field experiments that will drive the development of novel algorithms for PTT-based continuous BP monitoring.

Design of Intelligent Embedded Data Acquisition and Storage System for Coal Mill Based on DSP

2019 ◽  
Vol 13 ◽  
Author(s):  
Hai Shen
Keyword(s):  
Embedded System ◽  
Data Acquisition ◽  
System Design ◽  
Large Scale ◽  
Storage System ◽  
Structure Design ◽  
Embedded System Design ◽  
On Line ◽  
The Embedded System ◽  
And Storage

Background: In order to better realize the real-time on-line monitoring of the working state of the coal mill and intellectualize the status of the equipment of the coal mill, the intelligent embedded system of the coal mill based on DSP is studied. Methods: Firstly, the working requirement of coal mill and the task of data acquisition system are briefly introduced, and the requirement of overall embedded system design is put forward. Then, the structure design is carried out from hardware and software, and the embedded system design including digital signal processing, and data acquisition is completed. All patents related to intelligent embedded data acquisition and storage system have been detailed exhaustively. Results: After that, the function test of the actual coal mill embedded system is carried out, which proves the practicability and reliability of the designed embedded system for coal mill and based on DSP. Conclusion: The embedded system improves the automation level of coal mill, and is of great significance to the on-line monitoring and research of large-scale machinery and equipment in the future.

Equipment Servo System Signal Acquisition Module Design Based on Embedded

2014 ◽  
Vol 536-537 ◽  
pp. 1037-1040
Author(s):  
Jing Tong Chen ◽  
Shi Yu Sun ◽  
Xiu Sheng Duan
Keyword(s):  
Embedded System ◽  
Data Acquisition ◽  
Condition Monitoring ◽  
Storage System ◽  
System Structure ◽  
Signal Acquisition ◽  
Mass Storage ◽  
Module Design ◽  
Mass Storage System ◽  
Point Data

Contrary to the difficult for complex equipment in the parallel signal acquisition, thereby affecting the equipment condition monitoring results, Design a parallel signal data acquisition device and its collection method based on embedded system. It can achieve real-time multi-point data collection and analyze parallel signal data acquisition system structure and function, then giving the hardware design of embedded systems based on the chip, including the processes of mass storage system and a plurality of communication method. Realize of the equipment condition monitoring and fault diagnosis based on this.

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