A Self-Powered CMOS Reconfigurable Multi-Sensor SoC for Biomedical Applications

Huang, Yu-Jie; Tzeng, Te-Hsuen; Lin, Tzu-Wei; Huang, Chen-Han; Yen, Pei-Wen; Kuo, Ping Lin; Lin, Chih‐Ting; Lu, Shey‐Shi

doi:10.1109/jssc.2013.2297392

Cited by 108 publications

(45 citation statements)

References 30 publications

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“…The application area of the SoC is limited to glucose sensor measurement. A very similar application type SoC is discussed in [12] , but is incompatible with RFID/NFC communication protocol, besides it does not include an integrated microcontroller. Nevertheless, values presented by other works in the table are measured, while in this work only simulation values are presented.…”

Section: Functional Verification and Testingmentioning

confidence: 99%

“…The NFC and RFID enabled ICs [8,10,11] are specifically used for glucose measurement. The SoC presented in [12] is reconfigurable and provides a possibility to integrate a wide range of sensor types (temperature, glucose, pH value and protein concentration) but it does not have an NFC communication interface. A batteryless body sensor node is recorded in [13] is suitable for acquiring, processing and transmitting electrocardiogram (ECG), electromyogram (EMG) and EEG (EEG).…”

Section: Introductionmentioning

confidence: 99%

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Design of a Programmable Passive SoC for Biomedical Applications Using RFID ISO 15693/NFC5 Interface

Bhattacharyya

Gruenwald

Jansen

et al. 2018

JLPEA

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Low power, low cost inductively powered passive biotelemetry system involving fully customized RFID/NFC interface base SoC has gained popularity in the last decades. However, most of the SoCs developed are application specific and lacks either on-chip computational or sensor readout capability. In this paper, we present design details of a programmable passive SoC in compliance with ISO 15693/NFC5 standard for biomedical applications. The integrated system consists of a 32-bit microcontroller, a sensor readout circuit, a 12-bit SAR type ADC, 16 kB RAM, 16 kB ROM and other digital peripherals. The design is implemented in a 0.18 µm CMOS technology and used a die area of 1.52 mm × 3.24 mm. The simulated maximum power consumption of the analog block is 592 µW. The number of external components required by the SoC is limited to an external memory device, sensors, antenna and some passive components. The external memory device contains the application specific firmware. Based on the application, the firmware can be modified accordingly. The SoC design is suitable for medical implants to measure physiological parameters like temperature, pressure or ECG. As an application example, the authors have proposed a bioimplant to measure arterial blood pressure for patients suffering from Peripheral Artery Disease (PAD).

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Section: Functional Verification and Testingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of a Programmable Passive SoC for Biomedical Applications Using RFID ISO 15693/NFC5 Interface

Bhattacharyya

Gruenwald

Jansen

et al. 2018

JLPEA

View full text Add to dashboard Cite

show abstract

“…Yen and coworkers developed an active complementary metal oxide semiconductor (CMOS) sensor array for electrochemical biomolecule detection. Huang et al, 2014) Electrochemical molecular detection relies on measuring the real-time signal change due to hybridization at the interface between a metal working electrode and a conductive target analyte solution. Furthermore, Ratterman and coworkers proposed a carbon dioxide luminescent sensor based on a CMOS image array.…”

Section: Introductionmentioning

confidence: 99%

A flexible and miniaturized hair dye based photodetector via chemiluminescence pathway

Lin

Sun

Lin

et al. 2017

Biosensors and Bioelectronics

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“…It largely extends the lifetime of the WSN and thus reduces the cost of maintenance. Several WSNs, whose power is generated from energy harvesting, are published [1,2,3,4].…”

Section: Introductionmentioning

confidence: 99%

Thermal and solar energy harvesting boost converter with time-multiplexing MPPT algorithm

Jung

Kim

Jung

2016

IEICE Electron. Express

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A single-inductor, dual-input, and dual-output boost converter harvesting thermal and solar energy with a novel time-multiplexing maximum power point tracking (MPPT) algorithm is proposed in this paper. The proposed boost converter harvests energy from thermoelectric generator (TEG) and photovoltaic cell (PV cell) and applies the harvested power to the load and battery. The proposed MPPT algorithm controls the effective frequency of energy harvesting from TEG and PV cell by time multiplexing. As a result, the MPPT can be achieved using a single system clock frequency. The reduced number of required system clock frequencies can leads to power and area savings owing to the reduced clock generation circuits. The proposed boost converter is designed using 65 nm CMOS process technology and evaluated using the HSPICE simulation. The peak power conversion efficiency of the proposed boost converter is 78%.

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A Self-Powered CMOS Reconfigurable Multi-Sensor SoC for Biomedical Applications

Cited by 108 publications

References 30 publications

Design of a Programmable Passive SoC for Biomedical Applications Using RFID ISO 15693/NFC5 Interface

Design of a Programmable Passive SoC for Biomedical Applications Using RFID ISO 15693/NFC5 Interface

A flexible and miniaturized hair dye based photodetector via chemiluminescence pathway

Thermal and solar energy harvesting boost converter with time-multiplexing MPPT algorithm

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