The Experts below are selected from a list of 2856 Experts worldwide ranked by ideXlab platform
Bojan Gergič - One of the best experts on this subject based on the ideXlab platform.
-
A flexible microcontroller-based Data Acquisition Device
Sensors (Switzerland), 2014Co-Authors: Darko Hercog, Bojan GergičAbstract:This paper presents a low-cost microcontroller-based Data Acquisition Device. The key component of the presented solution is a configurable microcontroller-based Device with an integrated USB transceiver and a 12-bit analogue-to-digital converter (ADC). The presented embedded DAQ Device contains a preloaded program (firmware) that enables easy Acquisition and generation of analogue and digital signals and Data transfer between the Device and the application running on a PC via USB bus. This Device has been developed as a USB human interface Device (HID). This USB class is natively supported by most of the operating systems and therefore any installation of additional USB drivers is unnecessary. The input/output peripheral of the presented Device is not static but rather flexible, and could be easily configured to customised needs without changing the firmware. When using the developed configuration utility, a majority of chip pins can be configured as analogue input, digital input/output, PWM output or one of the SPI lines. In addition, LabVIEW drivers have been developed for this Device. When using the developed drivers, Data Acquisition and signal processing algorithms as well as graphical user interface (GUI), can easily be developed using a well-known, industry proven, block oriented LabVIEW programming environment.
Darko Hercog - One of the best experts on this subject based on the ideXlab platform.
-
A flexible microcontroller-based Data Acquisition Device
Sensors (Switzerland), 2014Co-Authors: Darko Hercog, Bojan GergičAbstract:This paper presents a low-cost microcontroller-based Data Acquisition Device. The key component of the presented solution is a configurable microcontroller-based Device with an integrated USB transceiver and a 12-bit analogue-to-digital converter (ADC). The presented embedded DAQ Device contains a preloaded program (firmware) that enables easy Acquisition and generation of analogue and digital signals and Data transfer between the Device and the application running on a PC via USB bus. This Device has been developed as a USB human interface Device (HID). This USB class is natively supported by most of the operating systems and therefore any installation of additional USB drivers is unnecessary. The input/output peripheral of the presented Device is not static but rather flexible, and could be easily configured to customised needs without changing the firmware. When using the developed configuration utility, a majority of chip pins can be configured as analogue input, digital input/output, PWM output or one of the SPI lines. In addition, LabVIEW drivers have been developed for this Device. When using the developed drivers, Data Acquisition and signal processing algorithms as well as graphical user interface (GUI), can easily be developed using a well-known, industry proven, block oriented LabVIEW programming environment.
Ian Kremenic - One of the best experts on this subject based on the ideXlab platform.
-
Bio-Instrumentation Amplifier and Digital Data Acquisition Device with User-Selectable Gain, Frequency, and Driven Reference
2006Co-Authors: Alin Cosmanescu, Benjamin Miller, Terence Magno, Assad Ahmed, Ian KremenicAbstract:A portable, multi-purpose Bio-instrumentation Amplifier and Data Acquisition Device (BADAQ) capable of measuring and transmitting EMG and EKG signals wire- lessly via Bluetooth R is designed and implemented. Common topologies for instrumentation amplifiers and filters are used and realized with commercially available, low-voltage, high precision operational amplifiers. An 8-bit PIC microcontroller performs 10-bit analog-to-digital conversion of the amplified and filtered signals and controls a Bluetooth R transceiver capable of wirelessly transmitting the Data to any Bluetooth R enabled Device. Electrical isolation between patient/subject, circuitry, and ancillary equipment is achieved by optocoupling components. The design focuses on simplicity, portability, and affordability.
-
Design and implementation of a wireless (Bluetooth) four channel bio-instrumentation amplifier and digital Data Acquisition Device with user-selectable gain, frequency, and driven reference.
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006Co-Authors: Alin Cosmanescu, Benjamin Miller, Terence Magno, Assad Ahmed, Ian KremenicAbstract:A portable, multi-purpose Bio-instrumentation Amplifier and Data Acquisition Device (BADAQ) capable of measuring and transmitting EMG and EKG signals wirelessly via Bluetooth is designed and implemented. Common topologies for instrumentation amplifiers and filters are used and realized with commercially available, low-voltage, high precision operational amplifiers. An 8-bit PIC microcontroller performs 10-bit analog-to-digital conversion of the amplified and filtered signals and controls a Bluetooth transceiver capable of wirelessly transmitting the Data to any Bluetooth enabled Device. Electrical isolation between patient/subject, circuitry, and ancillary equipment is achieved by optocoupling components. The design focuses on simplicity, portability, and affordability.
Jung-wook Park - One of the best experts on this subject based on the ideXlab platform.
-
Development of Wireless Data Acquisition Device for Individual Load to Improve Function of Smart Meter Applied to AMI
The Transactions of the Korean Institute of Electrical Engineers, 2011Co-Authors: Byung Chul Sung, Woo Jae Park, Seung Wook Jeon, Jung-wook ParkAbstract:Advanced Metering Infrastructure (AMI) is one of the important components to form a smart-gird, which is an advanced power system by combining the power system with the communication systems. This AMI makes it possible to exchange information between operators and consumers for the efficient and reliable operation of the power system through a smart meter or a In-Home Display. However, according to the increase of the demanded information such as the power quality, the accurate load-profile, and the billing Data to help customers manage their power consumption, it is necessary to gather more accurate analytical Data from each house appliances and transfer it to the smart meter for synthesizing the information and controlling each loads. In this paper, the development of the wireless Data Acquisition Device for the individual load Data metering, which is connected with the smart meter for advanced functions, is proposed. AVR, a kind of microcontroller, and Bluetooth are used and integrated into the proposed the wireless Data Acquisition Device to transmit the detailed power Data (voltage and current) to the smart meter. To verify the effectiveness of the proposed system, a hardware experiment is carried out including the confirmation of the possibility for providing the more various information by applying analysis algorithms to the obtained Data. Also, the application structure of the wireless Data Acquisition Device to gather the Data from the various house appliances is presented.
R B Ahmmad - One of the best experts on this subject based on the ideXlab platform.
-
Development of EEG Data Acquisition Device by using single board computer
International Journal of Medical Engineering and Informatics, 2013Co-Authors: M K Wali, Murugappan Murugappan, R B AhmmadAbstract:Electroencephalogram (EEG) plays a vital role in several medical diagnosis (brain tumour detection, Alzheimer disease, epilepsy, etc.), engineering applications (emotion detection, drowsiness detection, stress assessment, etc.) and others. However, the cost of the EEG Device is usually high (< $20,000) and it is still a challenging issue for many consumers. The cost of the EEG Data Acquisition Device purely depends on number of EEG channels, mode of signal transmission (wired/wireless), Data resolution, software portability, etc. In recent years, the development of handy embedded systems opens a gateway to design and develop the Data Acquisition Devices at a cheaper cost. In this work, we have used SBC TS 7800 (500 MHz, 128 MB RAM) for designing the EEG wired Data Acquisition Device. This embedded system is used to acquire the Data from the 32 EEG channels and to save the them in American Standard Code for Information Interchange (ASCII) values in either .txt or xls format for further research investigations. All the EEG channels are made up of Ag/Ag-Cl and have an impedance of 10 kΩ. This complete system is operating in Linux platform, and programs are developed using C and JAVA programming languages.
-
Development of EEG Data Acquisition Device by using single board computer
International Journal of Medical Engineering and Informatics, 2013Co-Authors: M K Wali, Murugappan Murugappan, R B AhmmadAbstract:Electroencephalogram (EEG) plays a vital role in several medical diagnosis (brain tumour detection, Alzheimer disease, epilepsy, etc.), engineering applications (emotion detection, drowsiness detection, stress assessment, etc.) and others. However, the cost of the EEG Device is usually high (< 20,000) and it is still a challenging issue for many consumers. The cost of the EEG Data Acquisition Device is purely depends on number of EEG channels, mode of signal transmission (wired/wireless), Data resolution, software portability, etc. In recent years, the development of handy embedded systems opens a gateway to design and develop the Data Acquisition Devices at a cheaper cost. In this work, we have used SBC TS 7800 (500 MHz, 128 MB RAM) for designing the EEG wired Data Acquisition Device. This embedded system is used to acquire the Data from the 32 EEG channels and to save the them in American Standard Code for Information Interchange (ASCII) values in either .txt or xls format for further research investigations. All the EEG channels are made up of Ag/Ag-Cl and have an impedance of 10 k?. This complete system is operating in Linux platform, and programs are developed using C and JAVA programming languages. © 2013 Inderscience Enterprises Ltd.
