Academic literature on the topic 'Bio-potential signals'

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Journal articles on the topic "Bio-potential signals"

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Wan, Mohammad Ehsan Aiman Wan Jusoh, and Hawa Ruslan Siti. "Design and analysis of current mirror OTA in 45 nm and 90 nm CMOS technology for bio-medical application." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 221–28. https://doi.org/10.11591/eei.v9i1.1860.

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This paper proposed a design and performance analysis of current mirror operational transconductance amplifier (OTA) in 45 nm and 90 nm complementary metal oxide semiconductor (CMOS) technology for bio-medical application. Both OTAs were designed and simulated using Synopsys tools and the simulation results were analysed thoroughly. The OTAs were designed to be implemented in bio-potential signals detection system where the input signals were amplified and filtered according to the specifications. From the comparative analysis of both OTAs, the 45 nm OTA managed to produce open loop gain of 45
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TAKAHASHI, Kazuhiko. "Comparison of Emotion Recognition Methods from Bio-Potential Signals." Japanese journal of ergonomics 40, no. 2 (2004): 90–98. http://dx.doi.org/10.5100/jje.40.90.

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WADA, Eiji, Minoru SASAKI, Kyoung ho CHOI, et al. "Development of Machine Control System Using Bio-potential Signals." Proceedings of Conference of Tokai Branch 2004.53 (2004): 263–64. http://dx.doi.org/10.1299/jsmetokai.2004.53.263.

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Murata, Maiko, Kazuhiko Takahashi, and Masafumi Hashimoto. "3408 Remarks on Controlling Electric Wheelchair using Bio-Potential Signals." Proceedings of the JSME annual meeting 2007.5 (2007): 327–28. http://dx.doi.org/10.1299/jsmemecjo.2007.5.0_327.

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Rathod, Priyank Jayantilal. "Bio-Signal and Generative AI." Journal of Artificial Intelligence & Cloud Computing 2, no. 4 (2023): 1–3. http://dx.doi.org/10.47363/jaicc/2023(2)284.

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Since the pandemic, a tremendous amount of research has been conducted on the bio signals and detection of any symptoms early on. Catching symptoms early using the bio-signals would enable early detection, preventive care in some cases, and the potential to create a cure plan for the individual. There are many ways in which the bio-signals can be detected and processed meaningfully. These data would help the individual and be used to train the biosignalbased models. Having these models generate large amounts of data trained on this dataset would enable the detection, diagnosis, and preventive
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Brajkovič, Robert, Tomaž Žagar, and Dejan Križaj. "Frequency Synchronization Analysis in Digital lock-in Methods for Bio-impedance Determination." Measurement Science Review 14, no. 6 (2014): 343–49. http://dx.doi.org/10.2478/msr-2014-0047.

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Abstract The lock-in method is one of the most frequently used methods for reconstruction of measured signals and as such frequently applied in the (bio)impedance method to determine the modulus and phase of the (bio)impedance. In implementation of the method in a (bio)impedance measurement device one has to consider possible non synchronized frequencies of the reference and the analyzed signals as well as potential sources of noise. In this work we analyzed these errors theoretically and experimentally. We show that both amplitude and phase errors depend on the relative difference of the freq
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Grigore, Dumitru. "Movement Remote Command and Control in the Military Technical Systems through the Inferential Method." HOLISTICA – Journal of Business and Public Administration 8, no. 1 (2017): 15–32. http://dx.doi.org/10.1515/hjbpa-2017-0002.

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Abstract The research described in the paper at had approaches the interaction between the bio-signal and the remote movement control, by introducing an original mathematical model, regarding the psychophysiological inference from the EDA response bio-signals. The experiments were performed using an adequate design, consisting of two different techniques regarding bio-signals, in order to obtain, in variables corresponding to each of them, the same type of electrical behaviour. In order to establish the projective functions, a direct measurement method was used on the levels of potential in th
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Kareem, Ghada. "DETECTION AND CLASSIFICATION OF ABNORMALITIES OF BIO-POTENTIAL ACTIVITY OF HEART." Journal of Southwest Jiaotong University 57, no. 1 (2022): 673–82. http://dx.doi.org/10.35741/issn.0258-2724.57.1.60.

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An electrocardiograph (ECG) is one of the essential equipment used in cardiology department research. It is used for diagnostic patients suffering from heart biopotential activity disorders. The difficulty of ECG classification is solved; the signal of ECG has some noise, so pre-processing is done at first to denoising. The signal is transformed into a small set of features simplifying the classification of the signal and diagnosing the disease. Support vector machine (SVM), K nearest neighbor (KNN), discriminant analysis (DS), random forest (RF), and Naïve Bayes (NB) classifiers are used for
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Mohammad Ehsan Aiman Wan Jusoh, Wan, and Siti Hawa Ruslan. "Design and analysis of current mirror OTA in 45 nm and 90 nm CMOS technology for bio-medical application." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 221–28. http://dx.doi.org/10.11591/eei.v9i1.1860.

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This paper proposed a design and performance analysis of current mirror operational transconductance amplifier (OTA) in 45 nm and 90 nm complementary metal oxide semiconductor (CMOS) technology for bio-medical application. Both OTAs were designed and simulated using Synopsys tools and the simulation results were analysed thoroughly. The OTAs were designed to be implemented in bio-potential signals detection system where the input signals were amplified and filtered according to the specifications. From the comparative analysis of both OTAs, the 45 nm OTA managed to produce open loop gain of 45
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SASAKI, Minoru, Eiji WADA, Kyoung ho CHOI, Toshimi Shimizu, and Satoshi Ito. "339 Control of a Flexible Manipulator by Using Bio-potential Signals." Proceedings of the JSME Bioengineering Conference and Seminar 2004.17 (2005): 325–26. http://dx.doi.org/10.1299/jsmebs.2004.17.0_325.

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Dissertations / Theses on the topic "Bio-potential signals"

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Бартян, Олег Іванович. "Система реєстрації поверхневої електроміографії з підвищеною функціональністю". Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/38754.

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Роботу викладено на 80 сторінках, вона містить 5 розділи, 12 ілюстрацію, 34 таблиць та 24 джерела в переліку посилань. В роботі вивчалися дані зарубіжних і вітчизняних авторів по темам поверхневої електроміографії, біопротезів або екзоскелетів, електродів для електроміографії. Проаналізовано роль електроміографії в сучасному світі і зроблені висновки про можливий майбутній розвиток цієї галузі. Розглянуто особливості конструкції електродів і її вплив на якість реєстрованого сигналу і зручність використання. Аналізуються фактори, що впливають на обробку та аналіз сигналів для біопротезування а
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Kao, Jin-Jiang, and 高錦江. "Microelectrode Array System for Zebrafish Bio-Potential Signals Measurement." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/83926854515039024301.

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碩士<br>國立臺灣大學<br>醫學工程學研究所<br>93<br>In this research, we developed Microelectrode Array(MEA) chip and measured platform for zebrafish and zebrafish embryo ECG signals and other bio-potential signals .This platform also used in any MEA chip to measure any bio-potential signals.   MEA chip is fabricated by using Micro-Electro Machanical System(MEMS) processes. The substrate of MEA chip is glass, and the conduction-line-layer is used Ti(Titanium), Cr(Chromium), ITO(Indium Tin Oxide), and etc. The Bio-Connect-layer is used Au(Gold), ITO, and Pt(Platinum). Our MEA chips are composed of 64 electrodes
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Liu, Szu-Chieh, and 留嗣傑. "The Design of Low Voltage, Low Power Sigma-Delta Modulator for Bio-potential Signals." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/11044502970180767022.

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DWIVEDI, MAHEEP. "DESIGN OF ULTRA LOW VOLTAGE LOW NOISE ANALOG FRONT END FOR BIO-POTENTIAL SIGNALS." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14946.

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The information extracted from the bio-potential signals such as ECG, EEG, ECoG, ERG and ENG is extensively used for health care and medical treatment purposes. The use of bio-potential acquisition systems is not only limited to the hospitals but also extended to the homes for ubiquitous health care. Therefor the demand of portable bio-signal measurement system is increasing. The key constituent to this kind of systems is the analog front-end (AFE). The analog readout front-end extracts the bio-signals directly from human body through electrodes and defines the extracted signal quality.
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Fan, Tsun-Yuan, and 范鐏元. "The Design of An 8-Channel CMOS Analog Front-End Acquisition Circuit for Bio-potential Signal Recoding Systems." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/53963774778004036048.

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碩士<br>國立交通大學<br>電子研究所<br>101<br>This paper presents an 8-channel analog front-end (AFE) acquisition circuit for neural recording systems. It consists of an 8 channel analog front-end amplifier (AFEA) and full-integrated with a 500 KS/s 10b ADC. The AFEA consists 8 analog front-end blocks, an 8-to-1 multiplexer, a trans-impedance amplifier (TIA). Each of the analog blocks in AFEA is implemented a low-noise preamplifier and a programmable transconductance gain amplifier (PTGA). It is designed for amplification, filtering, and converting to digital signals of different kinds of biopotential signa
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Chen, Zhi-Xin, and 陳志鑫. "The Design of a 16-Channel CMOS Analog Front-End Acquisition Circuit with chopper modulation technique for Bio-potential Signal Recording Systems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/q9cxxc.

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碩士<br>國立交通大學<br>電子工程學系 電子研究所<br>104<br>This paper presents an 16-channel analog front-end (AFE) acquisition circuit for neural recording systems. It consists of an 16 channel analog front-end amplifier (AFEA) and 128 KS/s 10b ADC. The AFEA consists 16 analog front-end blocks, a 16-to-1 multiplexer, a trans-impedance amplifier (TIA). Each of the analog blocks in AFEA is implemented a chopper modulation low-noise preamplifier and a programmable transconductance gain amplifier (PTGA). It is designed for amplification, filtering, and converting to digital signals of biopotential signals, These bio
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Book chapters on the topic "Bio-potential signals"

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Mukherjee, Prithwijit, and Anisha Halder Roy. "Detecting Different Emotional States of Human Brain Using Bio-potential Signals." In Computers and Devices for Communication. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8366-7_14.

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Kambale, Witesyavwirwa Vianney, Denis D’Ambrosi, Mohamed El Bahnasawi, Mohamed Salem, and Kyandoghere Kyamakya. "Analyzing the Potential Contribution of a Meta-Learning Approach to Robust and Effective Subject-Independent, Emotion-Related Time Series Analysis of Bio-signals." In Studies in Computational Intelligence. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71821-2_5.

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Kanna, R. Kishore, and N. Kripa. "Wireless BIMA Robot Using BCI Application." In Advances in Chemical and Materials Engineering. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2659-6.ch021.

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Bio signals are signals that are created by combining electrical and mechanical potentials or signals acquired from our bodies. The brain, which is believed to be our body's most complex organ, produces one of these bio signals. The electrical signals obtained from the brain are utilized to diagnose the illnesses and medical problems that lie underneath them. The study is being carried out by developing and building BIMA Bot, a mobile robot that is wireless and has a pick-and-place end effector. It is also possible to acquire raw data from the participants in a complete band simultaneously usi
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Khushaba, Rami N., and Adel A. Al-Jumaily. "Myoelectric Control of Prosthetic Devices for Rehabilitation." In Encyclopedia of Healthcare Information Systems. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch119.

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Bio-signals patterns analysis problems have enjoyed a rapid increase in popularity in the past few years. The electromyography (EMG) signal, also referred to as the Myoelectric signal (MES), recorded at the surface of the skin, is one of the biosignals generated by the human body, representing a collection of electrical signals from the muscle fibre, acting as a physical variable of interest since it first appeared in the 1940s (Scott, 1984). It was considered to be the main focus of scientists, and was advanced as a natural approach for the control of prosthesis, since it is utilising the ele
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Viaud-Delmon Isabelle, Gaggioli Andrea, Ferscha Alois, and Dunne Stephen. "Human Computer Confluence Applied in Healthcare and Rehabilitation." In Studies in Health Technology and Informatics. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-121-2-42.

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Human computer confluence (HCC) is an ambitious research program studying how the emerging symbiotic relation between humans and computing devices can enable radically new forms of sensing, perception, interaction, and understanding. It is an interdisciplinary field, bringing together researches from horizons as various as pervasive computing, bio-signals processing, neuroscience, electronics, robotics, virtual &amp;amp; augmented reality, and provides an amazing potential for applications in medicine and rehabilitation.
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Kalam, Sheeba, Mohd Faiz, and Saifi Neha Gupta. "ECG SIGNALS AND THEIR IMPLICATIONS IN SIGNIFICANT HEART PATHOLOGIES." In Futuristic Trends in Biotechnology Volume 3 Book 4. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bjbt4p1ch2.

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Electrocardiography- the process of producing an electrogram (ECG) involving the non-invasive transthoracic interpretation for bio-potential variation of the heart over a period of time, is used to provide insight into the structure of the diseased population by giving useful data about functional morphology of heart in the waveform PQRSTU. ECG plays a foremost role in diagnosing cardiovascular disorders, distinguishing normal sinus rhythm from the arrhythmia (abnormal) class. ECG framework includes parameters such as heart rate, duration, amplitude, and morphology of wave comprising QRS compl
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Zhang, Ming, Yuan Yuan, and Shuo Zhang. "Perspective Chapter: Silent Speech Interface Based on Neural Activity – A Short Review." In Human-Robot Interaction - A Multidisciplinary Overview [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1008554.

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Silent Speech Interface (SSI) technology has emerged as a fascinating area of research with the potential to transform communication. This chapter presents an overview of SSI, beginning with exploration of the diverse sensing modalities employed to capture the neural and muscular signals. These include electroencephalography (EEG), surface electromyography (sEMG), and other emerging techniques. The subsequent sections detail the processing of neural signals, encompassing feature preprocessing, and a variety of recognition algorithms in the context of Silent Speech Recognition (SSR). Additional
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Li, Yuchao, Heng Li, Xixi Chen, Tianli Wu, and Baojun Li. "Perspective Chapter: Applications of biological microlenses and nanofibers." In Advances in Nanofiber Research - Properties and Uses [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1005586.

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In recent years, with the rapid development of micro/nano optics, biophotonics, and biomedicine, micro/nano optical devices have been widely used in biosensing, medical imaging, molecular diagnosis, and other fields due to their advantages of miniaturization and integration. However, micro/nano optical devices composed of semiconductor and precious metal materials are prone to irreversible physical damage to biological cells and tissues and require chemical synthesis, which cannot be naturally degraded in vivo. In addition, due to the limitation of solid materials, micro/nano optical devices a
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Ramasamy, Prema, Shri Tharanyaa Jothimani Palanivelu, and Abin Sathesan. "Certain Applications of LabVIEW in the Field of Electronics and Communication." In LabVIEW - A Flexible Environment for Modeling and Daily Laboratory Use. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96301.

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The LabVIEW platform with graphical programming environment, will help to integrate the human machine interface controller with the software like MATLAB, Python etc. This platform plays the vital role in many pioneering areas like speech signal processing, bio medical signals like Electrocardiogram (ECG) and Electroencephalogram (EEG) processing, fault analysis in analog electronic circuits, Cognitive Radio(CR), Software Defined Radio (SDR), flexible and wearable electronics. Nowadays most engineering colleges redesign their laboratory curricula for the students to enhance the potential inclus
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Riaz, Ammara, Azhar Rasul, Rabia Batool, et al. "Alkaloids in the Treatment of Gastrointestinal Tract Cancer." In Phytonutrients in the Treatment of Gastrointestinal Cancer. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815049633123010011.

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Alkaloids, nitrogen-containing compounds, are found in living organisms ranging from microbes to seed-producing plants all over the world. About more than 20,000 alkaloids have been discovered, mostly occurring in higher plants of the families Ranunculaceae, Papaveraceae, Leguminosae, Loganiaceae and Menispermaceae. These compounds are able to inhibit cancer proliferation, especially gastrointestinal cancer, which constitutes the highest incidence rate all over the world. The most diversified group of phytochemicals, alkaloids offer a mighty series of chemical scaffolds and moieties which can
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Conference papers on the topic "Bio-potential signals"

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Yazicioglu, Firat. "Short Course: Low-Power Interface Circuits for Bio-Potential and Physiological Signal Acquisition." In 2014 IEEE International Solid- State Circuits Conference (ISSCC). IEEE, 2014. https://doi.org/10.1109/isscc15682.2014.11005867.

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Sasaki, Minoru, Kojiro Matsushita, Muhammad Ilhamdi Rusyidi, et al. "Robot control systems using bio-potential signals." In THE 5TH INTERNATIONAL CONFERENCE ON INDUSTRIAL, MECHANICAL, ELECTRICAL, AND CHEMICAL ENGINEERING 2019 (ICIMECE 2019). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0000624.

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An, Hyejin, and Hyun-Chool Shin. "Compressed Sensing of Excitatory Postsynaptic Potential Bio-Signals." In Fifth International Conference on Information Technology Convergence and Services. Academy & Industry Research Collaboration Center (AIRCC), 2016. http://dx.doi.org/10.5121/csit.2016.60301.

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AbuShawish, Israa Y., and Soliman A. Mahmoud. "Programable Bandwidth Bio-medical Amplifier for Multiple Bio-potential Signals Detection Systems." In 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2021. http://dx.doi.org/10.1109/mwscas47672.2021.9531898.

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Kazuhiko Takahashi, Takashi Nakauke, and Masafumi Hashimoto. "Remarks on hands-free manipulation using bio-potential signals." In 2007 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icsmc.2007.4413573.

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Pini, F., and K. McCarthy. "Capacitive instrumentation amplifier for low-power bio potential signal detection." In IET Irish Signals and Systems Conference (ISSC 2010). IET, 2010. http://dx.doi.org/10.1049/cp.2010.0487.

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Sardar, Dwaipayan, Debabrota Basu, Saugat Bhattacharyya, et al. "Embedded realisation of amplitude-phase adaptive filter for bio-potential signals." In 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC). IEEE, 2014. http://dx.doi.org/10.1109/ciec.2014.6959158.

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Singh, Wazir, Raj Kumar, and Manoj Kumar. "SAR Analog to Digital Converter for bio-potential signals: A review." In 2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI). IEEE, 2015. http://dx.doi.org/10.1109/icscti.2015.7489544.

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Liu, Szu-Chieh, and Kea-Tiong Tang. "A low-voltage low-power sigma-delta modulator for bio-potential signals." In 2011 IEEE/NIH 5th Life Science Systems and Applications Workshop (LiSSA). IEEE, 2011. http://dx.doi.org/10.1109/lissa.2011.5754146.

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Takahashi, Kazuhiko, Takashi Nakauke, and Masafumi Hashimoto. "Remarks on Hands-Free Manipulation System Using Bio-Potential Signals From Simple Brain-Computer Interface." In 2006 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icsmc.2006.384954.

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