Towards Affordable Home Health Care Devices Using Reconfigurable System-on-Chip Technology

Abdallah, Mouin; Elkeelany, Omar

doi:10.5772/18779

Cited by 3 publications

(9 citation statements)

References 43 publications

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“…Analog-to-Digital Converter (ADC) simultaneously converts two channels. The ADC provides optimal combination of low cost, low power and high performance [6]. The presented results indicate and clearly demonstrate the potential of the architecture.…”

mentioning

confidence: 61%

“…A low cost, high-speed architecture for the computation of the binary logarithm was proposed. This architecture was implemented in an FPGA device and the results were compared with other low cost architectures [6]. It requires less area and achieving high-speed but the power required is very high.…”

mentioning

confidence: 99%

“…The advanced technology in DAQ using FPGA allows the multiple components to integrate on a single chip and it has processing, storage and input/output capabilities that are used by the DAQ system. The FPGA [6] for limited purposes for some other DAQs and FPGA works as a coprocessor for fixed-architecture based processor. This has advantages of low-cost, compactsize and the design is integrated in a high-capacity FPGA.…”

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confidence: 99%

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FPGA SoC Based Multichannel Data Acquisition System with Network Control Module

Rajasekaran¹,

Jeyabharath²,

Veena³

2017

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Normally, Data acquisition (DAQ) is used to acquire the signals from different devices like sensors, transducers, actuators etc. The data acquisition is also used to analyze the signals, digitizing the signals and acquiring the signals from different inputs. The main drawbacks in data acquisition system are data storage, hardware size and remote monitoring. The System-on-Chip Field Programmable Gate Array (SoC-FPGA) is used in the proposed system in the aim to reduce the hardware and memory size. Further to provide remote monitoring with Ethernet/Wi-Fi, the Network Control Module (NCM) is integrated with Data acquisition and processing module for the communication between the systems. This developed system achieves high resolution with memory reduction, reduced hardware size, fast remote monitoring and control. It is used for real time processing in DAQ and signal processing. For fault tolerance and portability, the full system reconfigurability based FPGA acts as the best solution and the system can be reused with different configurations. The control of data acquisition and the subsequent management of data are coded in LabVIEW. LabVIEW tool is used to design and develop a fourchannel Data Acquisition and Processing (DAQP) unit. National Instruments Data Acquisition (NIDAQ) and National Instruments Field Programmable Gate Array (NIFPGA) are used to test and implement the design for real time processing. This is designed to provide high accuracy, storage and portability.

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confidence: 61%

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confidence: 99%

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confidence: 99%

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FPGA SoC Based Multichannel Data Acquisition System with Network Control Module

Rajasekaran¹,

Jeyabharath²,

Veena³

2017

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“…Data acquisition systems (DAQ) are devices and/or software components used to collect information in order to monitor and/or analyze some phenomenon. As electronic technology advances, the data acquisition process has become accurate, versatile, and reliable [1] [2]. Typically, data acquisition devices interface to various sensors that specify the phenomenon under consideration.…”

Section: Introductionmentioning

confidence: 99%

“…Fourth, the frequency deviation monitoring (FREDM) system detects any change in input channels' frequencies. Finally, the heterogeneous maximal service (HMS) scheduler is presented to be integrated with FREDM system [2]. In home health care devices also in case of industrial data acquisition, storage is limited and power consumption need to be minimum.…”

Section: Introductionmentioning

confidence: 99%

A Reconfigurable On-Chip Multichannel Data Acquisition and Processing (DAQP) System with Online Monitoring Using Network Control Module

Velmurugan¹,

Ieee²

2019

IJCCTS

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The data acquisition and processing architecture covers the most demanding applications in continuous patient monitoring for chronic diseases in medical field and also measuring the signals from industrial plants. The multichannel data acquisition is essential for acquiring and monitoring the various biomedical signals from biomedical sensors or signals from industrial sensors. The problem is that the data storage, hardware size and remote monitoring of the sensed signal/data, so the multichannel data obtained is processed at runtime and stored in an external storage for future reference and remote monitoring of the system is done using Ethernet/Wi-Fi supportive network control module. The method of implementing the proposed design is the system on-chip via field programmable gate array (SoC-FPGA) to reduce the hardware size and for memory size. The Soc-FPGA attains high resolution and real time processing of data acquisition and signal processing. A four channel data acquisition and processing (DAQP) was designed, developed using the Lab VIEW graphical programming. NI DAQ and NI FPGA module is used to test and implement the design for real time. The module was designed in order to provide high accuracy, storage and portability.

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A reconfigurable on-chip multichannel data acquisition and processing (DAQP) system for multichannel signal processing

Velmurugan¹,

Rajasekaran²

2013

2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering

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Towards Affordable Home Health Care Devices Using Reconfigurable System-on-Chip Technology

Cited by 3 publications

References 43 publications

FPGA SoC Based Multichannel Data Acquisition System with Network Control Module

FPGA SoC Based Multichannel Data Acquisition System with Network Control Module

A Reconfigurable On-Chip Multichannel Data Acquisition and Processing (DAQP) System with Online Monitoring Using Network Control Module

A reconfigurable on-chip multichannel data acquisition and processing (DAQP) system for multichannel signal processing

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