Pub Date : 2013-12-12DOI: 10.1109/BIOCAS.2013.6679672
J. Handwerker, M. Ortmanns, J. Anders, M. Eschelbach, P. Chang, A. Henning, K. Scheffler
In this paper, we present a PCB-based active miniaturized MR field probe for real-time monitoring of the magnetization's phase evolution during magnetic resonance (MR) experiments. The data obtained with the presented sensor can be used to correct gradient field imperfections which uncorrected result in significant distortions in the reconstructed MR images. The presented active field probe consists of a susceptibility matched solenoidal MR coil and a complete homodyne transceiver. Thanks to the local generation of the radio frequency signal required for the excitation of the spin ensemble and the downconversion of the recorded MR signal to low frequencies, the proposed architecture significantly reduces the crosstalk between the probe head and the MR imaging object compared to existing designs. MR measurements performed in an ultra high field 9.4 T full-body scanner prove the compatibility of the presented sensor with commercial MR imaging systems and demonstrate its excellent MR phase tracking performance.
{"title":"An active TX/RX NMR probe for real-time monitoring of MRI field imperfections","authors":"J. Handwerker, M. Ortmanns, J. Anders, M. Eschelbach, P. Chang, A. Henning, K. Scheffler","doi":"10.1109/BIOCAS.2013.6679672","DOIUrl":"https://doi.org/10.1109/BIOCAS.2013.6679672","url":null,"abstract":"In this paper, we present a PCB-based active miniaturized MR field probe for real-time monitoring of the magnetization's phase evolution during magnetic resonance (MR) experiments. The data obtained with the presented sensor can be used to correct gradient field imperfections which uncorrected result in significant distortions in the reconstructed MR images. The presented active field probe consists of a susceptibility matched solenoidal MR coil and a complete homodyne transceiver. Thanks to the local generation of the radio frequency signal required for the excitation of the spin ensemble and the downconversion of the recorded MR signal to low frequencies, the proposed architecture significantly reduces the crosstalk between the probe head and the MR imaging object compared to existing designs. MR measurements performed in an ultra high field 9.4 T full-body scanner prove the compatibility of the presented sensor with commercial MR imaging systems and demonstrate its excellent MR phase tracking performance.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"544 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116227168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BIOCAS.2013.6679664
G. Massicotte, M. Sawan, G. Micheli, S. Carrara
Multi-target detection of neurochemicals is crucial to elucidate brain chemical signaling interplay. We describe in this paper an efficient experimental method to detect 2 types of neurotransmitters and the subsequent implementation of a dedicated potentiostat custom circuit. The experimental method is based on a biosensor performing constant-potential amperometry for an efficient detection of neurotransmitters, such as dopamine and glutamate, using a Carbon-nanotube (CNT)-based multi-working electrode sensor, which offers high sensitivity and selectivity. The custom CMOS time-based potentiostat circuit, designed to accommodate the detection of a wide variety of neurochemicals, is used as transducer. The proposed design is characterized through post-layout simulations, showing a wide dynamic input current range of 20 pA to 800 nA, and an input referred noise of 0.13 pA/√Hz. The circuit dissipates 56 μW for a minimum sampling frequency of 1.25 kHz. Circuit performances fully satisfies the requirements for the developed dopamine and glutamate sensors. The proposed biosensor configuration can be extended to the detection of a large number of neurochemicals.
{"title":"Multi-electrode amperometric biosensor for neurotransmitters detection","authors":"G. Massicotte, M. Sawan, G. Micheli, S. Carrara","doi":"10.1109/BIOCAS.2013.6679664","DOIUrl":"https://doi.org/10.1109/BIOCAS.2013.6679664","url":null,"abstract":"Multi-target detection of neurochemicals is crucial to elucidate brain chemical signaling interplay. We describe in this paper an efficient experimental method to detect 2 types of neurotransmitters and the subsequent implementation of a dedicated potentiostat custom circuit. The experimental method is based on a biosensor performing constant-potential amperometry for an efficient detection of neurotransmitters, such as dopamine and glutamate, using a Carbon-nanotube (CNT)-based multi-working electrode sensor, which offers high sensitivity and selectivity. The custom CMOS time-based potentiostat circuit, designed to accommodate the detection of a wide variety of neurochemicals, is used as transducer. The proposed design is characterized through post-layout simulations, showing a wide dynamic input current range of 20 pA to 800 nA, and an input referred noise of 0.13 pA/√Hz. The circuit dissipates 56 μW for a minimum sampling frequency of 1.25 kHz. Circuit performances fully satisfies the requirements for the developed dopamine and glutamate sensors. The proposed biosensor configuration can be extended to the detection of a large number of neurochemicals.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114240818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679698
G. Orchard, R. Benosman, R. Etienne-Cummings, N. Thakor
Current interest in neuromorphic computing continues to drive development of sensors and hardware for spike-based computation. Here we describe a hierarchical architecture for visual motion estimation which uses a spiking neural network to exploit the sparse high temporal resolution data provided by neuromorphic vision sensors. Although spike-based computation differs from traditional computer vision approaches, our architecture is similar in principle to the canonical Lucas-Kanade algorithm. Output spikes from the architecture represent the direction of motion to the nearest 45 degrees, and the speed within a factor of √2 over the range 0.02 to 0.27 pixels/ms.
{"title":"A spiking neural network architecture for visual motion estimation","authors":"G. Orchard, R. Benosman, R. Etienne-Cummings, N. Thakor","doi":"10.1109/BioCAS.2013.6679698","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679698","url":null,"abstract":"Current interest in neuromorphic computing continues to drive development of sensors and hardware for spike-based computation. Here we describe a hierarchical architecture for visual motion estimation which uses a spiking neural network to exploit the sparse high temporal resolution data provided by neuromorphic vision sensors. Although spike-based computation differs from traditional computer vision approaches, our architecture is similar in principle to the canonical Lucas-Kanade algorithm. Output spikes from the architecture represent the direction of motion to the nearest 45 degrees, and the speed within a factor of √2 over the range 0.02 to 0.27 pixels/ms.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125410063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Active filters with a very low corner frequency (of only a few hertz or below) are usually demanded at the frontend circuitry of biomedical instruments. This paper presents a novel circuit architecture for implementing the Bessel low-pass filter with an ultra-low corner frequency and negligible interferences from the ground. Basing on the transconductance-capacitor (Gm-C) architecture, the proposed filter incorporates a differential amplifier into the negative feedback loop to scale down the corner frequency, as well as to eliminate noise coupling from the ground. To demonstrate the design concept, a second-order Bessel filter is fabricated with the 0.35μm CMOS technology. With a corner frequency of around 1Hz, the filter consumes only 1.2μW and a chip area of 0.089mm2. Moreover, the 60-Hz interference from the ground is proved to be attenuated by more than 36dB.
{"title":"A compact Gm-C filter architecture with an ultra-low corner frequency and high ground-noise rejection","authors":"Yu-Chieh Lee, Wen-Yang Hsu, Tai-Ting Huang, Hsin Chen","doi":"10.1109/BioCAS.2013.6679703","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679703","url":null,"abstract":"Active filters with a very low corner frequency (of only a few hertz or below) are usually demanded at the frontend circuitry of biomedical instruments. This paper presents a novel circuit architecture for implementing the Bessel low-pass filter with an ultra-low corner frequency and negligible interferences from the ground. Basing on the transconductance-capacitor (Gm-C) architecture, the proposed filter incorporates a differential amplifier into the negative feedback loop to scale down the corner frequency, as well as to eliminate noise coupling from the ground. To demonstrate the design concept, a second-order Bessel filter is fabricated with the 0.35μm CMOS technology. With a corner frequency of around 1Hz, the filter consumes only 1.2μW and a chip area of 0.089mm2. Moreover, the 60-Hz interference from the ground is proved to be attenuated by more than 36dB.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125201830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679678
S. Ghoreishizadeh, Enver G. Kilinc, C. Baj-Rossi, C. Dehollain, S. Carrara, G. Micheli
Multi-target and continuous monitoring by wireless implantable devices is of increasing interest for personalized therapy. In this work an implantable system is presented which is capable of measuring different drugs with Cyclic Voltammetry (CV) method. The wireless microsystem consists of four modules, namely (i) The inductive coil; (ii) Power management IC; (iii) Readout and control IC; (iv) Biosensor array. The power management IC provides 1.8 V with as high as 2 mW power for the readout IC. The configurable readout IC is able to control the biosensor array and measure the sensor current in CV method. CV experiments performed with this microsystem well agree with a commercial equipment for two well known anti-cancer drugs, Etoposide and Mitoxantrone, detection.
{"title":"An implantable bio-micro-system for drug monitoring","authors":"S. Ghoreishizadeh, Enver G. Kilinc, C. Baj-Rossi, C. Dehollain, S. Carrara, G. Micheli","doi":"10.1109/BioCAS.2013.6679678","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679678","url":null,"abstract":"Multi-target and continuous monitoring by wireless implantable devices is of increasing interest for personalized therapy. In this work an implantable system is presented which is capable of measuring different drugs with Cyclic Voltammetry (CV) method. The wireless microsystem consists of four modules, namely (i) The inductive coil; (ii) Power management IC; (iii) Readout and control IC; (iv) Biosensor array. The power management IC provides 1.8 V with as high as 2 mW power for the readout IC. The configurable readout IC is able to control the biosensor array and measure the sensor current in CV method. CV experiments performed with this microsystem well agree with a commercial equipment for two well known anti-cancer drugs, Etoposide and Mitoxantrone, detection.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130497299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679718
B. Ligeti, Roberto Vera, Gergely Lukács, Balázs Győrffy, S. Pongor
Drug combinations are frequently used in treating complex diseases including cancer, diabetes, arthritis and hypertension. Most drug combinations were found in empirical ways so there is a need of efficient computational methods. Here we present a novel method based on network analysis which estimates the efficacy of drug combinations from a perturbation analysis performed on a protein-protein association network. The results suggest that those drugs are likely to form effective combinations that perturb a large number of proteins in common, even if the original targets are found in seemingly unrelated pathways.
{"title":"Predicting effective drug combinations via network propagation","authors":"B. Ligeti, Roberto Vera, Gergely Lukács, Balázs Győrffy, S. Pongor","doi":"10.1109/BioCAS.2013.6679718","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679718","url":null,"abstract":"Drug combinations are frequently used in treating complex diseases including cancer, diabetes, arthritis and hypertension. Most drug combinations were found in empirical ways so there is a need of efficient computational methods. Here we present a novel method based on network analysis which estimates the efficacy of drug combinations from a perturbation analysis performed on a protein-protein association network. The results suggest that those drugs are likely to form effective combinations that perturb a large number of proteins in common, even if the original targets are found in seemingly unrelated pathways.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133062523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BIOCAS.2013.6679706
Kiseok Song, U. Ha, Jaehyuk Lee, H. Yoo
The bio-feedback iontophoresis patch is proposed for controllable transdermal drug delivery. The proposed iontophoresis patch is implemented with the bio-feedback iontophoresis integrated circuit (IC) on the planar-fashionable circuit board (P-FCB) technology. For controllable iontophoresis treatment, the bio-feedback iontophoresis IC provides programmable stimulation current (16-512μA amplitude, DC-500Hz frequency, and 3-100% duty cycle) and monitors the dual-mode (load and tissue) impedance and the skin temperature during iontophoresis treatment with the reconfigurable tetra-polar electrode configuration. The load impedance is used to determine the stimulation current level, which means the instantaneous delivered dosage, for optimized iontophoresis treatment. The measured tissue impedance is used as an indicator of the accumulated delivered dosage. The skin temperature sensor prevents the unexpected side effects, such as skin burn or tissue destruction. As a result, the proposed iontophoresis patch monitors drug delivery status and patient's status. The proposed iontophoresis system is fully implemented and verified on both in-vitro and in-vivo tests.
{"title":"Bio-feedback iontophoresis patch for controllable transdermal drug delivery","authors":"Kiseok Song, U. Ha, Jaehyuk Lee, H. Yoo","doi":"10.1109/BIOCAS.2013.6679706","DOIUrl":"https://doi.org/10.1109/BIOCAS.2013.6679706","url":null,"abstract":"The bio-feedback iontophoresis patch is proposed for controllable transdermal drug delivery. The proposed iontophoresis patch is implemented with the bio-feedback iontophoresis integrated circuit (IC) on the planar-fashionable circuit board (P-FCB) technology. For controllable iontophoresis treatment, the bio-feedback iontophoresis IC provides programmable stimulation current (16-512μA amplitude, DC-500Hz frequency, and 3-100% duty cycle) and monitors the dual-mode (load and tissue) impedance and the skin temperature during iontophoresis treatment with the reconfigurable tetra-polar electrode configuration. The load impedance is used to determine the stimulation current level, which means the instantaneous delivered dosage, for optimized iontophoresis treatment. The measured tissue impedance is used as an indicator of the accumulated delivered dosage. The skin temperature sensor prevents the unexpected side effects, such as skin burn or tissue destruction. As a result, the proposed iontophoresis patch monitors drug delivery status and patient's status. The proposed iontophoresis system is fully implemented and verified on both in-vitro and in-vivo tests.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114713975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679716
Yves Gendrault, M. Madec, V. Wlotzko, C. Lallement, J. Haiech
Synthetic biology, or biological engineering, is a new science which may take advantage of the know-how of engineering science in order to build new in-vivo biological functions. The complete design process implies lots of modeling and simulation tasks. The design flow for this technology uses “digital” models at high level of abstraction as well as “analogue” ones at low level. Nevertheless, contrary to electronics, high-level digital descriptions are far away from low-level ones. In this paper, an intermediate modeling level using the principle of fuzzy logic is proposed to fill the gap between high and low abstraction level. The main advantage of this approach is to obtain quantitative simulation results while keeping a behavioral description of mechanisms. This is pointed out through two examples. The first one, encountered in literature, tends to prove that this modeling level is sufficient to obtain reliable results in comparison with the experimental ones. The second one, which is more theoretical, demonstrates the interest of fuzzy logic from a designing point of view.
{"title":"Fuzzy logic, an intermediate description level for design and simulation in synthetic biology","authors":"Yves Gendrault, M. Madec, V. Wlotzko, C. Lallement, J. Haiech","doi":"10.1109/BioCAS.2013.6679716","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679716","url":null,"abstract":"Synthetic biology, or biological engineering, is a new science which may take advantage of the know-how of engineering science in order to build new in-vivo biological functions. The complete design process implies lots of modeling and simulation tasks. The design flow for this technology uses “digital” models at high level of abstraction as well as “analogue” ones at low level. Nevertheless, contrary to electronics, high-level digital descriptions are far away from low-level ones. In this paper, an intermediate modeling level using the principle of fuzzy logic is proposed to fill the gap between high and low abstraction level. The main advantage of this approach is to obtain quantitative simulation results while keeping a behavioral description of mechanisms. This is pointed out through two examples. The first one, encountered in literature, tends to prove that this modeling level is sufficient to obtain reliable results in comparison with the experimental ones. The second one, which is more theoretical, demonstrates the interest of fuzzy logic from a designing point of view.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128237128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679675
T. Shibuya, K. Shiba
This paper reports on the miniaturization of the ferrite core of an externally-coupled transcutaneous transformer (ECTT) for a ventricular assist system. First, we designed the miniaturization of the ECTT and measured the transmission efficiency. We investigated whether the ferrite core of the ECTT could be miniaturized without a decline in the efficiency. Secondly, the electromagnetic simulator was analyzed via the specific absorption rate and the internal electric field strength in the human body by employing the transmission line modeling method. As a result, a maximum energy transmission efficiency of 98.20% (12 turns) was obtained by the miniaturization of the ECTT. Additionally, electromagnetic analysis of the biological effects revealed that the internal electric field falls well below the guidelines of the International Commission on Non-Ionizing Radiation Protection for frequencies above 300 kHz. The miniaturized ECTT is confirmed to be safe for transmission frequencies over 300 kHz.
{"title":"Externally-coupled transcutaneous energy transmission for a ventricular assist device-Miniaturization of ferrite core and evaluation of biological effects around the transformer","authors":"T. Shibuya, K. Shiba","doi":"10.1109/BioCAS.2013.6679675","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679675","url":null,"abstract":"This paper reports on the miniaturization of the ferrite core of an externally-coupled transcutaneous transformer (ECTT) for a ventricular assist system. First, we designed the miniaturization of the ECTT and measured the transmission efficiency. We investigated whether the ferrite core of the ECTT could be miniaturized without a decline in the efficiency. Secondly, the electromagnetic simulator was analyzed via the specific absorption rate and the internal electric field strength in the human body by employing the transmission line modeling method. As a result, a maximum energy transmission efficiency of 98.20% (12 turns) was obtained by the miniaturization of the ECTT. Additionally, electromagnetic analysis of the biological effects revealed that the internal electric field falls well below the guidelines of the International Commission on Non-Ionizing Radiation Protection for frequencies above 300 kHz. The miniaturized ECTT is confirmed to be safe for transmission frequencies over 300 kHz.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133677119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679693
Ken Chia-Han Chiang, N. S. Artan, H. J. Chao
A novel power optimization technique, called adaptive tracking is proposed in this paper for successive approximation analog-to-digital converters aiming implantable device applications. A SAR-ADC can easily be equipped with the proposed tracking technique by a minor modification in its digital circuitry (SAR). This work relies on the similarity of consecutive sample values in band-limited bio-potentials. The proposed adaptive tracking scheme can reduce power consumption of a wide variety of SAR-ADCs. In particular, we show that the tracking scheme can save 30% of power in a conventional SAR-ADC, 31% of power in those using binary SAR-ADCs using a weighted DAC with split MSB capacitor, and 8% of power in those using charge sharing DAC.
{"title":"A signal-specific approach for reducing SAR-ADC power consumption","authors":"Ken Chia-Han Chiang, N. S. Artan, H. J. Chao","doi":"10.1109/BioCAS.2013.6679693","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679693","url":null,"abstract":"A novel power optimization technique, called adaptive tracking is proposed in this paper for successive approximation analog-to-digital converters aiming implantable device applications. A SAR-ADC can easily be equipped with the proposed tracking technique by a minor modification in its digital circuitry (SAR). This work relies on the similarity of consecutive sample values in band-limited bio-potentials. The proposed adaptive tracking scheme can reduce power consumption of a wide variety of SAR-ADCs. In particular, we show that the tracking scheme can save 30% of power in a conventional SAR-ADC, 31% of power in those using binary SAR-ADCs using a weighted DAC with split MSB capacitor, and 8% of power in those using charge sharing DAC.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132875192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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