Design and Noise Analysis of a Novel Auto-Zeroing Structure for Continuous-Time Instrumentation Amplifiers

This paper introduces a low-noise, low-power amplifier for high-impedance sensors. An innovative circuit using an auto-zeroed architecture combined with frequency modulation to reject offset and low-frequency noise is proposed and analysed. Special care was given to avoid broadband noise aliasing and chopping in the signal path, and to minimize both the resulting equivalent input offset voltage and equivalent input biasing current. The theoretical noise analysis of the proposed topology covers most of the noise sources of the circuit. Simulations show that the input-referred noise level of the circuit is 13.4nV/pHz for a power consumption of 85μA with a power supply from 1.8V to 3.6V

Low Power Bio-potential Amplifier (for EEG)

The size and dependency on power supply of current biopotential data acquisition systems prohibit continuous monitoring of biopotential signals through battery powered devices. As the interest in continuous monitoring of EEG increases for healthcare and research purposes such as seizure detection, there is an increasing need to bring down the power consumption on the biopotential amplifier (BPA). BPA is one of the most power consuming components in the biopotential data acquisition system. In this FYP, we will develop a method to improve the existing BPA using MIMOS 0.35um process technology through implementation of various low power flicker noise cancelation techniques. Techniques used include low impedance node chopping and non-overlapping demodulation chopping. The scope of this FYP is focusing on design and simulation on Cadence software in circuit level implementation. This work provides insights as well as a starting point in lowering the power consumption of bio-potential data acquisition system. This will help to enable battery power system for continuous monitoring of EEG signals in the future. This final report discusses on both the literature review, background of the projects and methodology as well as the outcome of the work. The report is concluded by suggesting future works that can be carried out in this final year project (FYP)

Ultra-low power mixed-signal frontend for wearable EEGs

Electronics circuits are ubiquitous in daily life, aided by advancements in the chip design industry, leading to miniaturised solutions for typical day to day problems. One of the critical healthcare areas helped by this advancement in technology is electroencephalography (EEG). EEG is a non-invasive method of tracking a person's brain waves, and a crucial tool in several healthcare contexts, including epilepsy and sleep disorders. Current ambulatory EEG systems still suffer from limitations that affect their usability. Furthermore, many patients admitted to emergency departments (ED) for a neurological disorder like altered mental status or seizures, would remain undiagnosed hours to days after admission, which leads to an elevated rate of death compared to other conditions. Conducting a thorough EEG monitoring in early-stage could prevent further damage to the brain and avoid high mortality. But lack of portability and ease of access results in a long wait time for the prescribed patients. All real signals are analogue in nature, including brainwaves sensed by EEG systems. For converting the EEG signal into digital for further processing, a truly wearable EEG has to have an analogue mixed-signal front-end (AFE). This research aims to define the specifications for building a custom AFE for the EEG recording and use that to review the suitability of the architectures available in the literature. Another critical task is to provide new architectures that can meet the developed specifications for EEG monitoring and can be used in epilepsy diagnosis, sleep monitoring, drowsiness detection and depression study. The thesis starts with a preview on EEG technology and available methods of brainwaves recording. It further expands to design requirements for the AFE, with a discussion about critical issues that need resolving. Three new continuous-time capacitive feedback chopped amplifier designs are proposed. A novel calibration loop for setting the accurate value for a pseudo-resistor, which is a crucial block in the proposed topology, is also discussed. This pseudoresistor calibration loop achieved the resistor variation of under 8.25%. The thesis also presents a new design of a curvature corrected bandgap, as well as a novel DDA based fourth-order Sallen-Key filter. A modified sensor frontend architecture is then proposed, along with a detailed analysis of its implementation. Measurement results of the AFE are finally presented. The AFE consumed a total power of 3.2A (including ADC, amplifier, filter, and current generation circuitry) with the overall integrated input-referred noise of 0.87V-rms in the frequency band of 0.5-50Hz. Measurement results confirmed that only the proposed AFE achieved all defined specifications for the wearable EEG system with the smallest power consumption than state-of-art architectures that meet few but not all specifications. The AFE also achieved a CMRR of 131.62dB, which is higher than any studied architectures.Open Acces

Low-Noise Micro-Power Amplifiers for Biosignal Acquisition

There are many different types of biopotential signals, such as action potentials (APs), local field potentials (LFPs), electromyography (EMG), electrocardiogram (ECG), electroencephalogram (EEG), etc. Nerve action potentials play an important role for the analysis of human cognition, such as perception, memory, language, emotions, and motor control. EMGs provide vital information about the patients which allow clinicians to diagnose and treat many neuromuscular diseases, which could result in muscle paralysis, motor problems, etc. EEGs is critical in diagnosing epilepsy, sleep disorders, as well as brain tumors. Biopotential signals are very weak, which requires the biopotential amplifier to exhibit low input-referred noise. For example, EEGs have amplitudes from 1 μV [microvolt] to 100 μV [microvolt] with much of the energy in the sub-Hz [hertz] to 100 Hz [hertz] band. APs have amplitudes up to 500 μV [microvolt] with much of the energy in the 100 Hz [hertz] to 7 kHz [hertz] band. In wearable/implantable systems, the low-power operation of the biopotential amplifier is critical to avoid thermal damage to surrounding tissues, preserve long battery life, and enable wirelessly-delivered or harvested energy supply. For an ideal thermal-noise-limited amplifier, the amplifier power is inversely proportional to the input-referred noise of the amplifier. Therefore, there is a noise-power trade-off which must be well-balanced by the designers. In this work I propose novel amplifier topologies, which are able to significantly improve the noise-power efficiency by increasing the effective transconductance at a given current. In order to reject the DC offsets generated at the tissue-electrode interface, energy-efficient techniques are employed to create a low-frequency high-pass cutoff. The noise contribution of the high-pass cutoff circuitry is minimized by using power-efficient configurations, and optimizing the biasing and dimension of the devices. Sufficient common-mode rejection ratio (CMRR) and power supply rejection ratio (PSRR) are achieved to suppress common-mode interferences and power supply noises. Our design are fabricated in standard CMOS processes. The amplifiers’ performance are measured on the bench, and also demonstrated with biopotential recordings

CMRR Boosted Instrumentation Amplifier for Biomedical Application

This research paper discusses about a design of an amplifier for its use in an Analog Front End for Biomedical signal acquisition. The design of an AFE is also specific to the signal of interest. This paper deals with the design of an Analog Front End using 180nm process. An amplifier is a key component of an AFE. For instrumentation amplifier to satisfy theoretical results the OPAMP used must be close to ideal. The simulations are performed using TANNER EDA tool

Low Power Bio-potential Amplifier (for EEG)

The size and dependency on power supply of current biopotential data acquisition systems prohibit continuous monitoring of biopotential signals through battery powered devices. As the interest in continuous monitoring of EEG increases for healthcare and research purposes such as seizure detection, there is an increasing need to bring down the power consumption on the biopotential amplifier (BPA). BPA is one of the most power consuming components in the biopotential data acquisition system. In this FYP, we will develop a method to improve the existing BPA using MIMOS 0.35um process technology through implementation of various low power flicker noise cancelation techniques. Techniques used include low impedance node chopping and non-overlapping demodulation chopping. The scope of this FYP is focusing on design and simulation on Cadence software in circuit level implementation. This work provides insights as well as a starting point in lowering the power consumption of bio-potential data acquisition system. This will help to enable battery power system for continuous monitoring of EEG signals in the future. This final report discusses on both the literature review, background of the projects and methodology as well as the outcome of the work. The report is concluded by suggesting future works that can be carried out in this final year project (FYP)

High-precision fluorescence photometry for real-time biomarkers detection

Les derniers évènements planétaires et plus particulièrement l'avènement sans précédent du nouveau coronavirus augmente la demande pour des appareils de test à proximité du patient. Ceux-ci fonctionnent avec une batterie et peuvent identifier rapidement des biomarqueurs cibles. Pareils systèmes permettent aux utilisateurs, disposant de connaissances limitées en la matière, de réagir rapidement, par exemple dans la détection d'un cas positif de COVID-19. La mise en œuvre de l'élaboration d'un tel instrument est un projet multidisciplinaire impliquant notamment la conception de circuits intégrés, la programmation, la conception optique et la biologie, demandant tous une maîtrise pointue des détails. De plus, l'établissement des spécifications et des exigences pour mesurer avec précision les interactions lumière-échantillon s'additionnent au besoin d'expérience dans la conception et la fabrication de tels systèmes microélectriques personnalisés et nécessitent en elles-mêmes, une connaissance approfondie de la physique et des mathématiques. Ce projet vise donc à concevoir et à mettre en œuvre un appareil sans fil pour détecter rapidement des biomarqueurs impliqués dans des maladies infectieuses telles que le COVID-19 ou des types de cancers en milieu ambulatoire. Cette détection se fait grâce à des méthodes basées sur la fluorescence. La spectrophotométrie de fluorescence permet aux médecins d'identifier la présence de matériel génétique viral ou bactérien tel que l'ADN ou l'ARN et de les caractériser. Les appareils de paillasse sont énormes et gourmand énergétiquement tandis que les spectrophotomètres à fluorescence miniatuarisés disponibles dans le commerce sont confrontés à de nombreux défis. Ces appareils miniaturisés ont été découverts en tirant parti des diodes électroluminescentes (DEL) à semi-conducteurs peu coûteuses et de la technologie des circuits intégrés. Ces avantages aident les scientifiques à réduire les erreurs possibles, la consommation d'énergie et le coût du produit final utilisé par la population. Cependant, comme leurs homologues de paillasse, ces appareils POC doivent quantifier les concentrations en micro-volume d'analytes sur une large gamme de longueurs d'onde suivant le cadre d'une économie en ressources. Le microsystème envisagé bénéficie d'une approche de haute précision pour fabriquer une puce microélectronique CMOS. Ce procédé se fait de concert avec un boîtier personnalisé imprimé en 3D pour réaliser le spectrophotomètre à la fluorescence nécessaire à la détection quantitative d'analytes en microvolume. En ce qui a trait à la conception de circuits, une nouvelle technique de mise à auto-zeroing est appliquée à l'amplificateur central, celui-ci étant linéarisé avec des techniques de recyclage et de polarisation adaptative. Cet amplificateur central est entièrement différentiel et est utilisé dans un amplificateur à verrouillage pour récupérer le signal d'intérêt éclipsé par le bruit. De plus, l'augmentation de la sensibilité de l'appareil permet des mesures quantitatives avec des concentrations en micro-volume d'analytes ayant moins d'erreurs de prédiction de concentration. Cet avantage cumulé à une faible consommation d'énergie, un faible coût, de petites dimensions et un poids léger font de notre appareil une solution POC prometteuse dans le domaine de la spectrophotométrie de fluorescence. La validation de ce projet s'est fait en concevant, fabriquant et testant un prototype discret et sans fil. Son article de référence a été publié dans IEEE LSC 2018. Quant à la caractérisation et l'interprétation du prototype d'expériences in vitro à l'aide d'une interface MATLAB personnalisée, cet article a été publié dans IEEE Sensors journal (2021). Les circuits intégrés et les photodétecteurs ont été fabriqués ont été conçus et fabriqués par Cadence en 2019. Relativement aux solutions de circuit proposées, elles ont été fabriquées avec la technologie CMOS 180 nm et publiées lors de la conférence IEEE MWSCAS 2020. Tout comme cette dernière contribution, les expériences in vitro avec le dispositif proposé incluant la puce personnalisée et le boîtier imprimé en 3D ont été réalisés et les résultats électriques et optiques ont été soumis au IEEE Journal of Solid-State Circuits (JSSC 2022).The most recent and unprecedented experience of the novel coronavirus increases the demand for battery-operated near-patient testing devices that can rapidly identify the target biomarkers. Such systems enable end-users with limited resources to quickly get feedback on various medical tests, such as detecting positive COVID-19 cases. Implementing such a device is a multidisciplinary project dealing with multiple areas of expertise, including integrated circuit design, programming, optical design, and biology, each of which needs a firm grasp of details. Alongside the need for experience in designing and manufacturing custom microelectronic systems, establishing the specifications and requirements to precisely measure the light-sample interactions requires an in-depth knowledge of physics and mathematics. This project aims to design and implement a wireless point-of-care (POC) device to rapidly detect biomarkers involved in infectious diseases such as COVID-19 or different types of cancers in an ambulatory setting using fluorescence-based methods. Fluorescence spectrophotometry allows physicians to identify and characterize viral or bacterial genetic materials such as DNAs or RNAs. The benchtop devices that are currently available are bulky and power-hungry, whereas the commercially available miniaturized fluorescence spectrophotometers are facing many challenges. Many of these difficulties have been resolved in literature thanks to inexpensive semiconductor light-emitting diodes (LEDs) and integrated circuits technology. Such advantages aid scientists in decreasing the size, power consumption, and cost of the final product for end-users. However, like the benchtop counterparts, such POC devices must quantify micro-volume concentrations of analytes across a wide wave length range under an economy of resources. The envisioned microsystem benefits from a high-precision approach to fabricating a CMOS microelectronic chip combined with a custom 3D-printed housing. This implementation results in a fluorescence spectrophotometer for qualitative and quantitative detection of micro-volume analytes. In terms of circuit design, a novel switched-biasing ping-pong auto-zeroed technique is applied to the core amplifier, linearized with recycling and adaptive biasing techniques. The fully differential core amplifier is utilized within a lock-in amplifier to retrieve the signal of interest overshadowed by noise. Increasing the device's sensitivity allows quantitative measurements down to micro-volume concentrations of analytes with less concentration prediction error. Such an advantage, along with low-power consumption, low cost, low weight, and small dimensions, make our device a promising POC solution in the fluorescence spectrophotometry area. The approach of this project was validated by designing, fabricating, and testing a discrete and wireless prototype. Its conference paper was published in IEEE LSC 2018, and the prototype characterization and interpretation of in vitro experiments using a custom MATLAB interface were published in IEEE Sensors Journal (2021). The integrated circuits and photodetectors were designed and fabricated by the Cadence circuit design toolbox (2019). The proposed circuit solutions were fabricated with 180-nm CMOS technology and published at IEEE MWSCAS 2020 conference. As the last contribution, the in vitro experiments with the proposed device, including the custom chip and 3D-printed housing, were performed, and the electrical and optical results were submitted to the IEEE Journal of Solid-State Circuits (JSSC 2022)

Low Noise Pre-amplifier/Amplifier Chain for High Capacitance Sensors

In the past two decades, imaging sensors and detectors have developed tremendously. This technology has found its way into a number of areas, such as space missions, synchrotron light sources, and medical imaging. Nowadays, detectors and custom ICs are routine in high-energy physics applications. Electronic readout circuits have become a key part of every modern detector system. Many sensing circuits in detectors depend upon accumulating charge on a capacitor. The charge uncertainty on the capacitor when it is reset causes a signal error known as reset noise. Therefore, low noise readout circuitry capable of driving high input capacitance is essential for detector systems. A low noise pre-amplifier/amplifier readout circuitry has been designed and fabricated in 0.13um IBM CMOS8RF process technology. The pre-amplifier/ amplifier chain employs correlated double sampling at the input to suppress the kTC noise without any additional circuitry. In order to increase the signal-to-noise ratio, capacitive matching is used at the amplifier input. The experimental results of the signal processing chain employing capacitive matching and correlated double sampling show more than 60 times improvement in the signal-to-noise ratio over the same circuit without these improvements. In this dissertation a novel auto-zeroing technique is introduced as well. This technique uses a nulling point other than the amplifier's input and output to perform the auto-zeroing operation. The auto-zeroing is performed by taking advantage of emitter degeneration in the input transistor pair of the differential pair. For testing purposes this technique is implemented on a telescopic cascode differential amplifier. The auto-zeroed telescopic cascode differential amplifier has also been designed and fabricated in 0.13um IBM CMOS8RF process technology. This auto-zeroing technique reduces the input referred offset noise by an order of magnitude

Analogue micropower FET techniques review

A detailed introduction to published analogue circuit design techniques using Si and Si/SiGe FET devices for very low-power applications is presented in this review. The topics discussed include sub-threshold operation in FET devices, micro-current mirrors and cascode techniques, voltage level-shifting and class-AB operation, the bulk-drive approach, the floating-gate method, micropower transconductance-capacitance and log-domain filters and strained-channel FET technologies