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

Integrated circuit design for implantable neural interfaces

Progress in microfabrication technology has opened the way for new possibilities in neuroscience and medicine. Chronic, biocompatible brain implants with recording and stimulation capabilities provided by embedded electronics have been successfully demonstrated. However, more ambitious applications call for improvements in every aspect of existing implementations. This thesis proposes two prototypes that advance the field in significant ways. The first prototype is a neural recording front-end with spectral selectivity capabilities that implements a design strategy that leads to the lowest reported power consumption as compared to the state of the art. The second one is a bidirectional front-end for closed-loop neuromodulation that accounts for self-interference and impedance mismatch thus enabling simultaneous recording and stimulation. The design process and experimental verification of both prototypes is presented herein

A high performance ASIC for electrical and neurochemical traumatic brain injury monitoring

Traumatic Brain Injury (TBI) can be defined as a non-degenerative, non-congenital brain trauma due to an external mechanical force. TBI is a major cause of death and disability in all age groups and the leading cause of death and disability in working people and among young adults. This Thesis presents the first application specific integrated chip (ASIC) for monitoring patients suffering from TBI. The microelectronic chip was designed to meet the demands of processing physiological signals for an alternative method of TBI monitoring. It has been studied that by monitoring electrical (ECoG) and chemical (glucose, lactate and potassium) signals, the report of spreading depolarisation (SD) waves could be a good indicator for an upcoming secondary brain injury. The ultimate aim of this Thesis has been to support the idea of a “behind-the-ear” micro-platform, which could enable the monitoring of mobile (or mobilized) patients suffering a TBI who, currently, are not monitored. Switched-capacitor (SC) circuits have been adopted for the implementation of both current and voltage analogue front-ends (AFEs). Advanced techniques to minimise noise and improve the noise performance of the circuit were employed. Moreover, a digitally enabled automatic transimpedance gain control circuit, suitable for current analogue front-ends, was developed and tested in order to provide an automated way to adjust the gain and to counterbalance for the drop in sensitivity of the biosensors due to drift. Measured results confirming the operation of the TBI ASIC and its sub-circuits are reported. Finally, a novel circuit that mimics the Butler-Volmer dynamics is presented. The basic building blocks arise from the combination of Translinear (TL) Circuits and the Non- linear Bernoulli Cell Formalism (NBCF). The developed electrical equivalent circuit has been compared to an ideal model, which was developed in MATLAB. The robustness of the microelectronic system was evaluated by means of Monte Carlo simulations.Open Acces