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Electrode–Tissue Impedance Measurement CMOS ASIC for Functional Electrical Stimulation Neuroprostheses | IEEE Journals & Magazine | IEEE Xplore

Electrode–Tissue Impedance Measurement CMOS ASIC for Functional Electrical Stimulation Neuroprostheses


Abstract:

The design of a complementary metal-oxide-semiconductor (CMOS) integrated circuit that has the capability of evaluating the electrode-tissue contact and the lead function...Show More

Abstract:

The design of a complementary metal-oxide-semiconductor (CMOS) integrated circuit that has the capability of evaluating the electrode-tissue contact and the lead functionality of implanted electrodes in neuroprostheses for functional electrical stimulation applications is presented. The system allows in a quite simple way the verification of the state of the electrode by the evaluation of its impedance. By using a 1-bit analog-to-digital converter, the voltage drop between the anode and cathode of the stimulating electrode is measured when a controllable amplitude current is delivered. The impedance that is associated with the electrode will be obtained from the ratio between the anode-to-cathode voltage drop and the delivered current. Final resolution for the impedance measurement system will depend on the range of available current amplitudes. Based on the same impedance measurement method, two different systems for two different CMOS integrated neuroprostheses have been implemented. Both measurement systems allow an impedance characterization range from a few ohms to several kilo-ohms. This resistance range is enough to evaluate if the electrode is working inside normal conditions or not; however, some damage has taken place, making the electrical stimulation using that electrode impossible. In vitro results of the impedance measurement systems are provided.
Published in: IEEE Transactions on Instrumentation and Measurement ( Volume: 56, Issue: 5, October 2007)
Page(s): 2043 - 2050
Date of Publication: 17 September 2007

ISSN Information:

Citations are not available for this document.

I. Introduction

Several papers reported in the literature deal with the measurement and evaluation of impedance for biomedical applications [1]–[4]. In these papers, two- and four-electrode tissue impedance measurement systems are explained. There are a lot of applications in which the impedance of the tissue can give some insights into the state of the organ or the state of some illness (e.g., ischemia [5], hypoxia [6], and tumours [7]). In all these cases, a clear impedance measurement (information on both phase and magnitude versus frequency) is necessary. These impedance measurement systems are basically based on the injection of a sinusoidal current (with a variable frequency) through the electrodes and the measurement of the resulting voltage. The output signal is an amplitude-modulated voltage, and to obtain the resistance, signal processing is needed. Usually, an analog demodulator is implemented using a mixer, a low-pass filter, a sampler, and a final analog-to-digital converter (ADC). Other solutions imply the use of synchronous sampling to demodulate bioelectric impedance signals [3]. Opposite to these frequency-domain techniques, time-domain measurement techniques have also been reported as a new method to measure bioimpedance. The use of single stimulation square wave and measurement of the resulting current intensity at three given times [8] or a direct analysis of the electrode voltage drop are some examples [9]. The main drawback of both solutions is the need for fast ADCs and powerful data processors. Some of the measurement systems above [9] have been also applied to implantable medical devices.

Cites in Papers - |

Cites in Papers - IEEE (9)

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1.
Stefan Reich, Peter Ammann, Markus Sporer, Maurits Ortmanns, "An Onchip Electrode Impedance Estimation achieving 1.2 dB 3σ-Accuracy with Minimum Hardware Overhead", 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), pp.424-428, 2022.
2.
Vichaya Manatchinapisit, Adrien Rapeaux, Ian Williams, Timothy G. Constandinou, "Accelerated testing of electrode degradation for validation of new implantable neural interfaces", 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), pp.534-538, 2022.
3.
Aziz Yousif, Shawn K. Kelly, "Development of high impedance measurement system for water leakage detection in implantable neuroprosthetic devices", 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.4865-4868, 2016.
4.
Xinyi Chen, Yixin Ma, Liwen Miao, Hanqi Zhu, "The simulation study of a microprobe for investigation of electrical impedance/temperature property of biological tissues", 2015 IEEE International Conference on Imaging Systems and Techniques (IST), pp.1-5, 2015.
5.
Yan Hong, Yong Wang, Wang Ling Goh, Yuan Gao, Lei Yao, "A current-excited triple-time-voltage oversampling method for bio-impedance model for cost-efficient circuit system", 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.1037-1040, 2015.
6.
Yi-Kai Lo, Chih-Wei Chang, Wentai Liu, "Bio-impedance characterization technique with implantable neural stimulator using biphasic current stimulus", 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.474-477, 2014.
7.
Cihun-Siyong Alex Gong, Kai-Wen Yao, Muh-Tian Shiue, Yin Chang, "An impedance measurement analog front end for wirelessly bioimplantable applications", 2012 IEEE Asia Pacific Conference on Circuits and Systems, pp.172-175, 2012.
8.
Mark Edward Halpern, James Fallon, "Current Waveforms for Neural Stimulation-Charge Delivery With Reduced Maximum Electrode Voltage", IEEE Transactions on Biomedical Engineering, vol.57, no.9, pp.2304-2312, 2010.
9.
Mark Halpern, "Optimal design of neural stimulation current waveforms", 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.189-192, 2009.

Cites in Papers - Other Publishers (4)

1.
Yushan Wang, Po-Min Wang, Muriel Larauche, Million Mulugeta, Wentai Liu, "Bio-impedance method to monitor colon motility response to direct distal colon stimulation in anesthetized pigs", Scientific Reports, vol.12, no.1, 2022.
2.
Gurmeet singh, Sneh Anand, Brejesh Lall, Anurag Srivastava, Vaneet Singh, "A Low-Cost Portable Wireless Multi-frequency Electrical Impedance Tomography System", Arabian Journal for Science and Engineering, vol.44, no.3, pp.2305, 2019.
3.
Yan Hong, Wang Ling Goh, Yong Wang, "A compensation scheme for non-ideal circuit effects in biomedical impedance sensor", Analog Integrated Circuits and Signal Processing, vol.95, no.3, pp.473, 2018.
4.
Pedro Bertemes-Filho, Volney C. Vincence, Marcio M. Santos, Ilson X. Zanatta, "Low power current sources for bioimpedance measurements: a comparison between Howland and OTA-based CMOS circuits", Journal of Electrical Bioimpedance, vol.3, no.1, pp.66, 2012.
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