A CMOS system-on-chip for physiological parameters acquisition, processing and monitoring

Siwiec, Krzysztof; Marcinek, Krzysztof; Borejko, Tomasz; Jarosz, A.; Kopanski, Jakub; Kurjata-Pfitzner, Ewa; Narczyk, Paweł; Plasota, Maciej; Wielgus, Andrzej; Pleskacz, Witold A.

doi:10.1109/mixdes.2015.7208477

Cited by 9 publications

(5 citation statements)

References 14 publications

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“…Electronics 2022, 11, x FOR PEER REVIEW 2 of 20 on-chip for dynamic acquisition and processing the most important human physiological parameters: BioChip [1] and BioSoC [2]. Some of the research results (methodology, simulation results and preliminary measurement results) were previously presented at the scientific conferences DDECS and MIXDES and were published as conference proceedings papers [3], [4] and [5], respectively.…”

Section: Thermistor Sensormentioning

confidence: 99%

“…The ability to remotely monitor various vital signs, including human body temperature, makes it possible to determine the current psychophysical state. Therefore, any necessary medical assistance can be provided on time, which could save lives in extreme cases [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, a summary of two research projects is presented. The results were obtained from designing, manufacturing and characterizing two highly integrated systemson-chip for dynamic acquisition and processing the most important human physiological Electronics 2022, 11, 434 2 of 20 parameters: BioChip [1] and BioSoC [2]. Some of the research results (methodology, simulation results and preliminary measurement results) were previously presented at the scientific conferences DDECS and MIXDES and were published as conference proceedings papers [3][4][5], respectively.…”

Section: Introductionmentioning

confidence: 99%

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Analog Frontend for Reliable Human Body Temperature Measurement for IoT Devices

Narczyk

Pleskacz

2022

Electronics

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In this paper an analog frontend for a reliable measurement of the human body temperature is presented. A new and novel temperature calibration technique using an on-chip resistor was developed specifically for the analog frontend. The discussed analog frontend consists of a bandgap current reference, a precision current source, a programmable gain amplifier, a voltage source proportional to absolute temperature and an on-chip calibration resistor. The developed calibration technique enables very high accuracy, even 0.1 °C, to be obtained in a very wide temperature range. This calibration method was elaborated for integrated circuits operating in temperatures from −40 °C to +125 °C. The presented analog frontend consumes no more than 185 μA and was designed and manufactured with United Microelectronics Corporation (UMC) CMOS 130 nm technology. The data presented in the paper were obtained from process corner and Monte Carlo simulations as well as from measurements. The measurements were taken using a manual wafer prober with climate-controlled microchamber, at temperatures ranging from −40 °C to +125 °C.

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Section: Thermistor Sensormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analog Frontend for Reliable Human Body Temperature Measurement for IoT Devices

Narczyk

Pleskacz

2022

Electronics

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“…electrodes. The CPM module is designed on the basis of an application-specific integrated circuit [17] [18]. The microprocessor features a 32-bit RISC core based on MIPS-II instruction set architecture.…”

Section: Control and Processing Module -Cpmmentioning

confidence: 99%

First approach for design of an autonomous measurement system to aid determination of the psychological profile of soldiers

Różanowski

Sondej

Lewandowski

2015

2015 22nd International Conference Mixed Design of Integrated Circuits &Amp; Systems (MIXDES)

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The article presents the first attempt for design of an autonomous measurement system to aid assessment and to determine the psychological profile of soldiers. A method for ascertaining the psychological profile is presented including the physiological signals being generated by the monitored subject as an important element thereof. The measurement system used in the preliminary experiments and the design of a new, extendedfunctionality system, are presented. The new version of the measurement system facilitates determination of physiological parameters, environmental conditions and physical activity. In addition, it allows introduction of data on the psychological profile of the soldier to determine the degree of a soldier's adaptation to task-related situation at given point in time. The main element of the measurement system has been designed using an application-specific integrated circuit.

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“…Evaluation board ML605 was used in the study. One of the first implementations of the Azurite microprocessor as part of the ASIC UMC CMOS 130 nm technology was presented in [18] [19].…”

Section: Implementation Of Ecg Signal Processing In Multi-core Prmentioning

confidence: 99%

Implementation of an algorithm for heart rate measurement in a specialized multi-core processor

Sondej

Tomaszewski

Różanowski

2015

2015 22nd International Conference Mixed Design of Integrated Circuits &Amp; Systems (MIXDES)

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The article presents the method for implementation and results of examination of the Pan-Tompkins algorithm using a specialized 4-core Azurite processor, based on MIPS-II instruction set. The algorithm is used to determine heart rate on the basis of ECG signals. Azurite is a Multiprocessor System-on-Chip featuring an analog and a digital part. The digital part has been implemented in a Xilinx Virtex-6 FPGA system. An experimental study was carried out using one and three cores of Azurite processor as well as using the widely available microprocessor of the STM32F4 series (based on Cortex-M4F core). Same results were obtained for both types of cores. Division of the Pan-Tompkins algorithms into stages processed in 3 processor cores allowed for a 2.5 speedup of computations. Processing of a 27-second fragment of the ECG signal (sampling frequency of 250 Hz) using three cores of the Azurite processor (processor clock frequency of 100 MHz) took as little as 6.9 ms.

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A CMOS system-on-chip for physiological parameters acquisition, processing and monitoring

Cited by 9 publications

References 14 publications

Analog Frontend for Reliable Human Body Temperature Measurement for IoT Devices

Analog Frontend for Reliable Human Body Temperature Measurement for IoT Devices

First approach for design of an autonomous measurement system to aid determination of the psychological profile of soldiers

Implementation of an algorithm for heart rate measurement in a specialized multi-core processor

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