An Optoelectronic Stimulator for Retinal Prosthesis

Retinal prostheses require the presence of viable population of cells in the inner retina. Evaluations of retina with Age-Related Macular Degeneration (AMD) and Retinitis Pigmentosa (RP) have shown a large number of cells remain in the inner retina compared with the outer retina. Therefore, vision loss caused by AMD and RP is potentially treatable with retinal prostheses. Photostimulation based retinal prostheses have shown many advantages compared with retinal implants. In contrary to electrode based stimulation, light does not require mechanical contact. Therefore, the system can be completely external and not does have the power and degradation problems of implanted devices. In addition, the stimulating point is flexible and does not require a prior decision on the stimulation location. Furthermore, a beam of light can be projected on tissue with both temporal and spatial precision. This thesis aims at fi nding a feasible solution to such a system. Firstly, a prototype of an optoelectronic stimulator was proposed and implemented by using the Xilinx Virtex-4 FPGA evaluation board. The platform was used to demonstrate the possibility of photostimulation of the photosensitized neurons. Meanwhile, with the aim of developing a portable retinal prosthesis, a system on chip (SoC) architecture was proposed and a wide tuning range sinusoidal voltage-controlled oscillator (VCO) which is the pivotal component of the system was designed. The VCO is based on a new designed Complementary Metal Oxide Semiconductor (CMOS) Operational Transconductance Ampli er (OTA) which achieves a good linearity over a wide tuning range. Both the OTA and the VCO were fabricated in the AMS 0.35 µm CMOS process. Finally a 9X9 CMOS image sensor with spiking pixels was designed. Each pixel acts as an independent oscillator whose frequency is controlled by the incident light intensity. The sensor was fabricated in the AMS 0.35 µm CMOS Opto Process. Experimental validation and measured results are provided

Programmable active pixel sensor to investigate neural interactions within the retina

Detection of the visual scene by the eye and the resultant neural interactions of the retina-brain system give us our perception of sight. We have developed an Active Pixel Sensor (APS) to be used as a tool for both furthering understanding of these interactions via experimentation with the retina and to make developments towards a realisable retinal prosthesis. The sensor consists of 469 pixels in a hexagonal array. The pixels are interconnected by a programmable neural network to mimic lateral interactions between retinal cells. Outputs from the sensor are in the form of biphasic current pulse trains suitable to stimulate retinal cells via a biocompatible array. The APS will be described with initial characterisation and test results

A Wireless, High-Voltage Compliant, and Energy-Efficient Visual Intracortical Microstimulator

RÉSUMÉ L’objectif général de ce projet de recherche est la conception, la mise en oeuvre et la validation d’une interface sans fil intracorticale implantable en technologie CMOS avancée pour aider les personnes ayant une déficience visuelle. Les défis majeurs de cette recherche sont de répondre à la conformité à haute tension nécessaire à travers l’interface d’électrode-tissu (IET), augmenter la flexibilité dans la microstimulation et la surveillance multicanale, minimiser le budget de puissance pour un dispositif biomédical implantable, réduire la taille de l’implant et améliorer le taux de transmission sans fil des données. Par conséquent, nous présentons dans cette thèse un système de microstimulation intracorticale multi-puce basée sur une nouvelle architecture pour la transmission des données sans fil et le transfert de l’énergie se servant de couplages inductifs et capacitifs. Une première puce, un générateur de stimuli (SG) éconergétique, et une autre qui est un amplificateur de haute impédance se connectant au réseau de microélectrodes de l’étage de sortie. Les 4 canaux de générateurs de stimuli produisent des impulsions rectangulaires, demi-sinus (DS), plateau-sinus (PS) et autres types d’impulsions de courant à haut rendement énergétique. Le SG comporte un contrôleur de faible puissance, des convertisseurs numérique-analogiques (DAC) opérant en mode courant, générateurs multi-forme d’ondes et miroirs de courants alimentés sous 1.2 et 3.3V se servant pour l’interface entre les deux technologies utilisées. Le courant de stimulation du SG varie entre 2.32 et 220μA pour chaque canal. La deuxième puce (pilote de microélectrodes (MED)), une interface entre le SG et de l’arrangement de microélectrodes (MEA), fournit quatre niveaux différents de courant avec la valeur maximale de 400μA par entrée et 100μA par canal de sortie simultanément pour 8 à 16 sites de stimulation à travers les microélectrodes, connectés soit en configuration bipolaire ou monopolaire. Cette étage de sortie est hautement configurable et capable de délivrer une tension élevée pour satisfaire les conditions de l’interface à travers l’impédance de IET par rapport aux systèmes précédemment rapportés. Les valeurs nominales de plus grandes tensions d’alimentation sont de ±10V. La sortie de tension mesurée est conformément 10V/phase (anodique ou cathodique) pour les tensions d’alimentation spécifiées. L’incrémentation de tensions d’alimentation à ±13V permet de produire un courant de stimulation de 220μA par canal de sortie permettant d’élever la tension de sortie jusqu’au 20V par phase. Cet étage de sortie regroupe un commutateur haute tension pour interfacer une matrice des miroirs de courant (3.3V /20V), un registre à décalage de 32-bits à entrée sérielle, sortie parallèle, et un circuit dédié pour bloquer des états interdits.----------ABSTRACT The general objective of this research project is the design, implementation and validation of an implantable wireless intracortical interface in advanced CMOS technology to aid the visually impaired people. The major challenges in this research are to meet the required highvoltage compliance across electrode-tissue interface (ETI), increase lexibility in multichannel microstimulation and monitoring, minimize power budget for an implantable biomedical device, reduce the implant size, and enhance the data rate in wireless transmission. Therefore, we present in this thesis a multi-chip intracortical microstimulation system based on a novel architecture for wireless data and power transmission comprising inductive and capacitive couplings. The first chip is an energy-efficient stimuli generator (SG) and the second one is a highimpedance microelectrode array driver output-stage. The 4-channel stimuli-generator produces rectangular, half-sine (HS), plateau-sine (PS), and other types of energy-efficient current pulse. The SG is featured with low-power controller, current mode source- and sinkdigital- to-analog converters (DACs), multi-waveform generators, and 1.2V/3.3V interface current mirrors. The stimulation current per channel of the SG ranges from 2.32 to 220μA per channel. The second chip (microelectrode driver (MED)), an interface between the SG and the microelectrode array (MEA), supplies four different current levels with the maximum value of 400μA per input and 100μA per output channel. These currents can be delivered simultaneously to 8 to 16 stimulation sites through microelectrodes, connected either in bipolar or monopolar configuration. This output stage is highly-configurable and able to deliver higher compliance voltage across ETI impedance compared to previously reported designs. The nominal values of largest supply voltages are ±10V. The measured output compliance voltage is 10V/phase (anodic or cathodic) for the specified supply voltages. Increment of supply voltages to ±13V allows 220μA stimulation current per output channel enhancing the output compliance voltage up to 20V per phase. This output-stage is featured with a high-voltage switch-matrix, 3.3V/20V current mirrors, an on-chip 32-bit serial-in parallel-out shift register, and the forbidden state logic building blocks. The SG and MED chips have been designed and fabricated in IBM 0.13μm CMOS and Teledyne DALSA 0.8μm 5V/20V CMOS/DMOS technologies with silicon areas occupied by them 1.75 x 1.75mm2 and 4 x 4mm2 respectively. The measured DC power budgets consumed by low-and mid-voltage microchips are 2.56 and 2.1mW consecutively

An efficient telemetry system for restoring sight

PhD ThesisThe human nervous system can be damaged as a result of disease or trauma, causing conditions such as Parkinson’s disease. Most people try pharmaceuticals as a primary method of treatment. However, drugs cannot restore some cases, such as visual disorder. Alternatively, this impairment can be treated with electronic neural prostheses. A retinal prosthesis is an example of that for restoring sight, but it is not efficient and only people with retinal pigmentosa benefit from it. In such treatments, stimulation of the nervous system can be achieved by electrical or optical means. In the latter case, the nerves need to be rendered light sensitive via genetic means (optogenetics). High radiance photonic devices are then required to deliver light to the target tissue. Such optical approaches hold the potential to be more effective while causing less harm to the brain tissue. As these devices are implanted in tissue, wireless means need to be used to communicate with them. For this, IEEE 802.15.6 or Bluetooth protocols at 2.4GHz are potentially compatible with most advanced electronic devices, and are also safe and secure. Also, wireless power delivery can operate the implanted device. In this thesis, a fully wireless and efficient visual cortical stimulator was designed to restore the sight of the blind. This system is likely to address 40% of the causes of blindness. In general, the system can be divided into two parts, hardware and software. Hardware parts include a wireless power transfer design, the communication device, power management, a processor and the control unit, and the 3D design for assembly. The software part contains the image simplification, image compression, data encoding, pulse modulation, and the control system. Real-time video streaming is processed and sent over Bluetooth, and data are received by the LPC4330 six layer implanted board. After retrieving the compressed data, the processed data are again sent to the implanted electrode/optrode to stimulate the brain’s nerve cells

FPGA design and implementation of a framework for optogenetic retinal prosthesis

PhD ThesisThere are 285 million people worldwide with a visual impairment, 39 million of whom are completely blind and 246 million partially blind, known as low vision patients. In the UK and other developed countries of the west, retinal dystrophy diseases represent the primary cause of blindness, especially Age Related Macular Degeneration (AMD), diabetic retinopathy and Retinitis Pigmentosa (RP). There are various treatments and aids that can help these visual disorders, such as low vision aids, gene therapy and retinal prosthesis. Retinal prostheses consist of four main stages: the input stage (Image Acquisition), the high level processing stage (Image preparation and retinal encoding), low level processing stage (Stimulation controller) and the output stage (Image displaying on the opto-electronic micro-LEDs array). Up to now, a limited number of full hardware implementations have been available for retinal prosthesis. In this work, a photonic stimulation controller was designed and implemented. The main rule of this controller is to enhance framework results in terms of power and time. It involves, first, an even power distributor, which was used to evenly distribute the power through image sub-frames, to avoid a large surge of power, especially with large arrays. Therefore, the overall framework power results are improved. Second, a pulse encoder was used to select different modes of operation for the opto-electronic micro-LEDs array, and as a result of this the overall time for the framework was improved. The implementation is completed using reconfigurable hardware devices, i.e. Field Programmable Gate Arrays (FPGAs), to achieve high performance at an economical price. Moreover, this FPGA-based framework for an optogenetic retinal prosthesis aims to control the opto-electronic micro-LED array in an efficient way, and to interface and link between the opto-electronic micro-LED array hardware architecture and the previously developed high level retinal prosthesis image processing algorithms.University of Jorda

An external control unit implemented for stimulator ASIC testing

This paper presents the design and development of an external control unit (ECU) for a stimulator ASIC testing purposes. The ECU consists of a graphical user interface (GUI) from the PC, a data transceiver and a power transmitter. The GUI was developed using MATLAB for stimulation data setup. The data transceiver was designed using hardware description language (HDL) Verilog code and was implemented in a Virtex-II Pro FPGA board. The overall stimulator ASIC design architecture and its operation for an epiretinal implant application are briefly explained to correlate with the ECU’s design requirements. The flexible multichannel stimulator ASIC was successfully fabricated in a 0.35μm AMS HVCMOS technology. Conducted simulation and measurement results on stimulation waveform generation, supply voltage compliance and external control of supply voltage adaptation validate the functionality of the designed ECU and the stimulator ASIC.Keywords: external control unit; data transceiver; stimulator ASIC; retinal prosthesis; epiretinal implant; stimulation waveform; Manchester data; voltage compliance

Charge Pumps for Implantable Microstimulators in Low and High-Voltage Technologies

RÉSUMÉ L'objectif principal de cette thèse est de concevoir et mettre en œuvre une pompe de charge qui peut produire suffisamment de tension afin de l’implémenter à un système de prothèse visuelle, conçue par le laboratoire PolyStim neurotechnologies. Il a été constaté que l'une des parties les plus consommatrices d'énergie de l'ensemble du système de prothèse visuelle est la pompe de charge. En raison de la nature variable du tissu nerveux et de l'interface d’électrode, la tension nécessaire par stimuler le tissu nerveux est très élevé et consomme extrêmement d’énergie. En outre, afin de fournir du courant biphasique aux électrodes il faut produire des tensions positives et négatives. La génération de tension négative est très difficile, surtout dans les technologies à faible tension compte tenu des limites de la technologie. Le premier objectif du projet est de générer la haute tension nécessaire qui va consommer une faible puissance statique. La technologie de haute tension a été utilisée dans le but d’atteindre cet objectif. Le deuxième objectif est de générer la tension requise dans la technologie de basse tension et ainsi surmonter les limites de la technologie. Dans les deux cas, une attention particulière a été portée afin que personne ne latch-up apparaît pour le cycle négatif. L'architecture de la conception proposée a été présentée dans cette thèse. La pompe de charge a été conçu et mis en oeuvre à la fois dans la technologie CMOS 0,8 μm offert par TELEDYNE DALSA et technologie 0,13 μm CMOS offert par IBM. En raison de la tension requise, 0,8 μm technologie a été utilisée pour atteindre la sortie et conçu pour minimiser la consommation de puissance statique. La même architecture a été mise en oeuvre en technologie 0,13 μm pour enquêter sur la tension de sortie obtenue avec une faible consommation électrique. Les deux puces ont été testées en laboratoire PolyStim. Les résultats testés ont montré une variation moyenne très faible de déviation inférieure à 5% par rapport au résultat de simulation. Pour la conception en 0,8 µm, nous avons été en mesure d'obtenir plus de 25 V avec une consommation électrique très faible d’énergie statique de 3,846 mW et une charge d'entraînement maximum de 2 mA avec un maximum d'efficacité de 84,2%. Pour le même processus en 0,13 µm, les resultats ont été plus que 20V, 0,913 mW, 500 µA, et 85,2% respectivement.----------ABSTRACT The main objective of the thesis is to design and implement a charge pump that can produce enough voltage required to be implemented to the visual prosthesis system, designed by the PolyStim Neurotechnologies laboratory. It has been found that one of the most power consuming parts of the whole visual prosthesis system is the charge pump. Due to the variable nature of the nerve tissue and electrode interface, the required voltage of stimulating the nerve tissue is very high and thus extremely power consuming. Also, in order to provide biphasic current to the electrodes, there is a requirement of generating both positive and negative voltages. Generating negative voltage is very hard especially in low voltage technologies considering the technology limitations. The first objective of the project is to generate required high voltage that will consume low static power. High voltage technology has been used to achieve the goal. The second objective is to generate the required voltage in low voltage technology overcoming the technology limitations. In both cases, special care has been taken so that no latch-up occurs for the negative cycle. Architecture of the proposed design has been presented in this thesis. The charge pump has been designed and implemented in both 0.8 µm CMOS technology offered by TELEDYNE DALSA and 0.13 µm CMOS technology offered by IBM. Because of the required voltage, 0.8 µm technology has been used to achieve the output and designed to minimize the static power consumption. The same architecture has been implemented in 0.13 µm technology to investigate the achievable output voltage with low power consumption. Both the chips have been tested in polyStim laboratory. The tested results have shown very low variation of less than 5% average deflection from the simulation output. For the design in 0.8 µm, we have been able to get more than 25 V output with very low static power consumption of 3.846 mW and maximum drive load of 2 mA with maximum efficiency of 84.2%. For the same design in 0.13 µm, the outputs were more than 20V, 0.913 mW, 500 µA, and 85.2% respectively

Data analysis of retinal recordings from multi-electrode arrays under in situ electrical stimulation

The development of retinal implants has become an important field of study in recent years, with increasing numbers of people falling victim to legal or physical blindness as a result of retinal damage. Important weaknesses in current retinal implants include a lack of the resolution necessary to give a patient a viable level of visual acuity, question marks over the amount of power and energy required to deliver adequate stimulation, and the removal of eye movements from the analysis of the visual scene. This thesis documents investigations by the author into a new CMOS stimulation and imaging chip with the potential to overcome these difficulties. An overview is given of the testing and characterisation of the componments incorporated in the device to mimic the normal functioning of the human retina. Its application to in situ experimental studies of frog retina is also described, as well as how the data gathered from these experiments enables the optimisation of the geometry of the electrode array through which the device will interface with the retina. Such optimisation is important as the deposit of excess electrical charge and energy can lead to detrimental medical side effects. Avoidance of such side effects is crucial to the realisation of the next generation of retinal implants

Neuromorphic hardware for somatosensory neuroprostheses

In individuals with sensory-motor impairments, missing limb functions can be restored using neuroprosthetic devices that directly interface with the nervous system. However, restoring the natural tactile experience through electrical neural stimulation requires complex encoding strategies. Indeed, they are presently limited in effectively conveying or restoring tactile sensations by bandwidth constraints. Neuromorphic technology, which mimics the natural behavior of neurons and synapses, holds promise for replicating the encoding of natural touch, potentially informing neurostimulation design. In this perspective, we propose that incorporating neuromorphic technologies into neuroprostheses could be an effective approach for developing more natural human-machine interfaces, potentially leading to advancements in device performance, acceptability, and embeddability. We also highlight ongoing challenges and the required actions to facilitate the future integration of these advanced technologies