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

Multi-stage noise shaping (MASH) delta-sigma modulators for wideband and multi-standard applications

Imperial Users onl

Very large time constant Gm-C Filters

In this study a set of tools for the design of fully integrated transconductor-capacitor (Gm-C) filters, with very large time constants and current consumption under one micro-Ampere are presented. The selected application is a 2nd order bandpass-filter-amplifier, with a gain of 400 from 0.5 to 7Hz, carrying out the signal conditioning of a piezoelectric accelerometer which is part of an implantable cardiac pacemaker. The main challenge is to achieve very large time constants, without using any discrete external component. The chosen circuit technique to fulfill the requirement is series-parallel current division applied to standard symmetrical transconductors (OTAs). These circuits have demonstrated to be an excellent solution regarding their occupied area, power consumption, noise, linearity, and particularly offset. OTAs as low as 33pS -equivalent to a 30G resistor-, with up to 1V linear range, and input referred offset of a few mV, were designed, fabricated in a standard 0.8 micron CMOS technology, and tested. The application requires the series-parallel association of a large number of transistors, and the use of bias currents as low as a few pico-Amperes, which is not very common in analog integrated circuits. In this case the designer should employ maximum care in the selection of the transistor models to be used. A central aspect of this thesis was also to evaluate and develop noise and offset estimation models which was not obvious in the very beginning of the research. In the first two chapters an introduction to the target application is presented, and several MOS transistor characteristics in terms of the inversion coefficient -using the ACM transistor model- are evaluated. In chapter 3 it is discussed whether the usual flicker and thermal noise models are consistent regarding series-parallel association, and adequately represent the expected noise behavior under different bias conditions. A consistent, physics-based, one-equation-all-regions model for flicker noise in the MOS transistor is then presented. Several noise measurements are included demonstrating that the new model accurately fits widely different bias situations. A new model for mismatch offset in MOS transistors is presented, as a corollary of the flicker noise analysis. Finally, the correlation between flicker noise and mismatch offset, that can be seen as a DC noise, is shown. In chapter 4, the design of OTAs with an extended linear range, and very low transconductance, using series-parallel current division is presented. Precise tools are introduced for the estimation of noise and mismatch offset in series-parallel current mirrors, that are shown to help in the reduction of inaccuracies in the copy of currents with a large copy factor. The design and measurement of several OTA examples are presented. In chapter 5, the developed tools, and the OTAs shown, are employed in the design of the above mentioned filter for the piezoelectric accelerometer. A general methodology for the design of Gm-C filters with similar characteristics is established. The filter was fabricated and tested, successfully operating with a total power consumption of 233nA, up to a 2V power supply, with an input noise and mismatch offset of 2-4 Vrms, and 18 V respectively. To summarize the main results obtained were: The development of a new flicker noise model, the study of the effect of mismatch regarding series-parallel association, a new design methodology for OTAs and Gm-C filters. It is our hope that this constitutes a helpful set of tools for the circuit designer.En esta tesis se presenta un conjunto de herramientas para el diseño de circuitos integrados que implementan filtros transconductor-capacitor (Gm-C), de muy altas constantes de tiempo, con bajo ruido, y consumo de corriente por debajo del micro-Ampere. Como ejemplo de aplicación se toma un amplificador-pasabanda 2º orden, de ganancia 400 en la banda de 0.5 a 7Hz, que realiza el acondicionamiento de señal de un acelerómetro piezoeléctrico a ser empleado en un marcapasos implantable. El principal desafío es realizar en dicho filtro de tiempo continuo, muy altas constantes de tiempo sin usar componentes externos. La técnica elegida para alcanzar tal objetivo es la división serie-paralelo de corriente en transconductores (OTAs) simétricos estándar. Estos circuitos demostraron ser una excelente solución en cuanto al área ocupada, su consumo, ruido, linealidad, y en particular offset. Se diseñaron, fabricaron, y midieron, OTAs hasta 33pS -equivalente a una resistencia de 30G -, con hasta 1V de rango de lineal, y offset a la entrada de algunos mV, utilizando una tecnología CMOS de 0.8 micras de largo mínimo de canal. La aplicación requiere la asociación serie-paralelo de un gran número de transistores, y polarización con corrientes de hasta pico-Amperes, lo que constituye una situación poco frecuente en circuitos integrados analógicos. En este marco el diseñador debe elegir los modelos de transistor con sumo cuidado. Un aspecto central de esta tesis es también, el estudio y presentación de modelos adecuados de ruido y offset, que no resultan obvios al principio. En los primeros dos capítulos se realiza una introducción y se revisa, utilizando el modelo ACM, diferentes características del transistor MOS en función del nivel de inversión. En el capítulo 3 revisa la pertinencia y consistencia frente a la asociación serie-paralelo, de los modelos usuales de ruido de flicker o 1/f, y térmico. Luego se presenta, incluyendo medidas, un nuevo modelo físico, consistente, simple, y válido en todas las regiones de operación del transistor MOS, para el ruido de flicker. Como corolario a este estudio se presenta un nuevo modelo para estimar el desapareo entre transistores, en función no solo de la geometría, pero también de la polarización. Se demuestra la correlación, debido a su origen físico análogo, entre el ruido de flicker y el offset por desapareo que puede ser visto como un ruido en DC. En el capítulo 4 se presenta el diseño de OTAs con rango de linealidad extendido, y muy baja transconductancia, utilizando división serie-paralelo de corriente. Se presentan herramientas precisas para la estimación de offset y ruido y se demuestra la utilidad de la técnica para reducir el offset en espejos de corriente. Se presenta el diseño y medida de diversos OTAs. En el capítulo 5, las herramientas desarrolladas, y los OTAs presentados, son empleados en el diseño del filtro descripto para un acelerómetro piezoeléctrico. Se establece una metodología general para el diseño de filtros Gm-C con características similares. El filtro se fabricó y midió, operando en forma satisfactoria, con un consumo total de 230nA y hasta los 2V de tensión de alimentación, con ruido y offset a la entrada de tan solo 2-4 Vrms, y 18 V respectivamente. El desarrollo de un nuevo modelo de ruido 1/f para el transistor MOS, el estudio de la influencia del offset frente a la asociación serie-paralelo y su aplicación en OTAs, la metodología de diseño empleada, la demostración del uso de técnicas novedosas en una aplicación como la elegida que tiene relevancia tecnológica e interés académico; esperamos que todo ello constituya una contribución valiosa para la comunidad científica en microelectrónica y un conjunto de herramientas de utilidad para el diseño de circuitos

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

A low-noise microluminometer for a bioluminescent bioreporter integrated circuit

This thesis presents the analysis and design of a low-noise microluminometer for a hybrid electronic/biological chemical sensor known as a Bioluminescent Bioreporter Integrated Circuit (BBIC). The microluminometer consists of photodetection and signal processing Both functions are integrated in a standard bulk CMOS process (HP 0.5 urn CMOS). The photodetection is first described in terms of physical operation. The implementation of photodetectors in a CMOS integrated circuit process is then presented. The signal processing system is analyzed, and the errors introduced by individual system components are described. A detailed system-level noise analysis is also presented The design of a low-noise amplifier is the focus of this thesis. The amplifier design is described in detail. Finally, the results from testing of the fabricated prototype are presented

Comparator design and analysis for CBSC

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2007.Includes bibliographical references (p. 177-182).The design of high gain, wide dynamic range op-amps for switched-capacitor circuits has become increasingly challenging with the migration of designs to scaled CMOS technologies. The reduced power supply voltages and the low intrinsic device gain in scaled technologies offset some of the benefits of the reduced device parasitics. An alternative comparator-based switched-capacitor circuit (CBSC) technique that eliminates the need for high gain op-amps in the signal path is proposed. The CBSC technique applies to switched-capacitor circuits in general and is compatible with most known architectures. A prototype 1.5 b/stage pipeline ADC implemented in a 0.18 [mu]m CMOS process is presented that operates at 7.9 MHz, achieves 8.6 effective bits of accuracy, and consumes 2.5 mW of power. Techniques for the noise analysis of comparator-based systems are presented. Non-stationary noise analysis techniques are applied to circuit analysis problems for white noise sources in a framework consistent with the more familiar wide-sense-stationary techniques. The design of a low-noise threshold detection comparator using a preamplifier is discussed.(cont.) Assuming the preamplifier output is reset between decisions, it is shown that. for a given noise and speed requirement, a band-limiting preamplifier is the lowest power implementation. Noise analysis techniques are applied to the prototype CBSC gain stage to arrive at, a theoretical noise power spectral density (PSD) estimate for the prototype pipeline ADC. Theoretical predictions and measured results of the input referred noise PSD for the prototype are compared showing that the noise contribution of the preamplifier dominates the overall noise performance.by Todd C. Sepke.Ph.D

Advanced CMOS Integrated Circuit Design and Application

The recent development of various application systems and platforms, such as 5G, B5G, 6G, and IoT, is based on the advancement of CMOS integrated circuit (IC) technology that enables them to implement high-performance chipsets. In addition to development in the traditional fields of analog and digital integrated circuits, the development of CMOS IC design and application in high-power and high-frequency operations, which was previously thought to be possible only with compound semiconductor technology, is a core technology that drives rapid industrial development. This book aims to highlight advances in all aspects of CMOS integrated circuit design and applications without discriminating between different operating frequencies, output powers, and the analog/digital domains. Specific topics in the book include: Next-generation CMOS circuit design and application; CMOS RF/microwave/millimeter-wave/terahertz-wave integrated circuits and systems; CMOS integrated circuits specially used for wireless or wired systems and applications such as converters, sensors, interfaces, frequency synthesizers/generators/rectifiers, and so on; Algorithm and signal-processing methods to improve the performance of CMOS circuits and systems

Design Techniques of Highly Integrated Hybrid-Switched-Capacitor-Resonant Power Converters for LED Lighting Applications

The Light-emitting diodes (LEDs) are rapidly emerging as the dominant light source given their high luminous efficacy, long lift span, and thanks to the newly enacted efficiency standards in favor of the more environmentally-friendly LED technology. The LED lighting market is expected to reach USD 105.66 billion by 2025. As such, the lighting industry requires LED drivers, which essentially are power converters, with high efficiency, wide input/output range, low cost, small form factor, and great performance in power factor, and luminance flicker. These requirements raise new challenges beyond the traditional power converter topologies. On the other hand, the development and improvement of new device technologies such as printed thin-film capacitors and integrated high voltage/power devices opens up many new opportunities for mitigating such challenges using innovative circuit design techniques and solutions. Almost all electric products needs certain power delivery, regulation or conversion circuits to meet the optimized operation conditions. Designing a high performance power converter is a real challenge given the market’s increasing requirements on energy efficiency, size, cost, form factor, EMI performance, human health impact, and so on. The design of a LED driver system covers from high voltage AC/DC and DC/DC power converters, to high frequency low voltage digital controllers, to power factor correction (PFC) and EMI filtering techniques, and to safety solutions such as galvanic isolation. In this thesis, we study design challenges and present corresponding solutions to realize highly integrated and high performance LED drivers combining switched-capacitor and resonant converters, applying re-configurable multi-level circuit topology, utilizing sigma delta modulation, and exploring capacitive galvanic isolation. A hybrid switched-capacitor-resonant (HSCR) LED driver based on a stackable switched-capacitor (SC) converter IC rated for 15 to 20 W applications. Bulky transformers have been replaced with a SC ladder to perform high-efficiency voltage step-down conversion; an L-C resonant output network provides almost lossless current regulation and demonstrates the potential of capacitive galvanic isolation. The integrated SC modules can be stacked in the voltage domain to handle a large range of input voltage ranges that largely exceed the voltage limitation of the medium-voltage-rated 120 V silicon technology. The LED driver demonstrates > 91% efficiency over a rectified input DC voltage range from 160 VDC to 180 VDC with two stacked ICs; using a stack of four ICs > 89.6% efficiency is demonstrated over an input range from 320 VDC to 360 VDC . The LED driver can dim its output power to around 10% of the rated power while maintaining >70% efficiency with a PWM controlled clock gating circuit. Next, the design of AC main rectifier and inverter front end with sigma delta modulation is described. The proposed circuits features a pair of sigma delta controlled multilevel converters. The first is a multilevel rectifier responsible for PFC and dimming. The second is a bidirectional multilevel inverter used to cancel AC power ripple from the DC bus. The system also contains an output stage that powers the LEDs with DC and provides for galvanic isolation. Its functional performance indicates that integrated multilevel converters are a viable topology for lighting and other similar applications

700mV low power low noise implantable neural recording system design

This dissertation presents the work for design and implementation of a low power, low noise neural recording system consisting of Bandpass Amplifier and Pipelined Analog to Digital Converter (ADC) for recording neural signal activities. A low power, low noise two stage neural amplifier for use in an intelligent Radio-Frequency Identification (RFID) based on folded cascode Operational Transconductance Amplifier (OTA) is utilized to amplify the neural signals. The optimization of the number of amplifier stages is discussed to achieve the minimum power and area consumption. The amplifier power supply is 0.7V. The midband gain of amplifier is 58.4dB with a 3dB bandwidth from 0.71 to 8.26 kHz. Measured input-referred noise and total power consumption are 20.7 μVrms and 1.90 μW respectively. The measured result shows that the optimizing the number of stages can achieve lower power consumption and demonstrates the neural amplifier's suitability for instu neutral activity recording. The advantage of power consumption of Pipelined ADC over Successive Approximation Register (SAR) ADC and Delta-Sigma ADC is discussed. An 8 bit fully differential (FD) Pipeline ADC for use in a smart RFID is presented in this dissertation. The Multiplying Digital to Analog Converter (MDAC) utilizes a novel offset cancellation technique robust to device leakage to reduce the input drift voltage. Simulation results of static and dynamic performance show this low power Pipeline ADC is suitable for multi-channel neural recording applications. The performance of all proposed building blocks is verified through test chips fabricated in IBM 180nm CMOS process. Both bench-top and real animal test results demonstrate the system's capability of recording neural signals for neural spike detection