Electrode Agnostic, Supply Variant Stimulation Engine For Implantable Neural Stimulation

Universal electrode for an array of neural simulation applicationsSimultaneous stimulation and sensingVery precise, high-compliance, and ultra-high output resistance current mirrorSuper-high output impedance and high accuracy15x increased battery lifeFabricated fully on-chip

Universal agnostic electrode for a variety of implant applicationsImplantable neural stimulation and recordingDeep brain stimulationEpiretinal stimulation

Researchers led by Professor Dejan Markovic have developed a novel universal electrode agnostic stimulation engine that is fully programmable and supply rails are variable to further save power, with an increased battery life up to 15x in overall NM applications. This system shows superior current matching and makes concurrent stimulation and sensing possible during the simultaneous, multichannel, differential stimulation. This technique has a very precise, high-compliance, and ultra-high output resistance current mirror for the source/sink part of the stimulation engine (SE), which is also superior in gathering super-high output impedance. Additionally, this system can be fabricated fully on-chip.

State Of Development

Two prototype stimulation ICs have been designed. The first IC has four stimulation engines and can drive up to 32 stimulation cites and the second stimulator block includes eight engines that can be individually programmed for monopolar/differential stimulation.

Background

Neural stimulators in a neuromodulation (NM) unit play a significant role in every neural treatment, where the stimulator’s power dominates the overall NM power and its integrated circuit (IC) design is driven by electrode performance (e.g., impedance, contact size). Different applications need different types of electrodes (e.g., deep brain stimulation, epiretinal stimulation), where macro and micro electrode contacts have a large range in tissue-electrode capacitances (nF – μF). In order to support various electrodes and a large range of stimulation current, it is crucial to have a stimulation mechanism that is not electrode dependent.

Additional Technologies by these Inventors

• Saturation-Tolerant Electrophysiological Recording Interface
• Scalable Parameterized VLSI Architecture for Compressive Sensing Sparse Approximation
• A Simple, Area-Efficient Ripple-Rejection Technique for Chopped Bio-Signal Amplifiers
• Autonomous Thermoelectric Energy-Harvesting Platform for Biomedical Sensors
• A High Dynamic-Range Sensing Front-End For Neural Signal Recording Systems
• Load Adaptive, Reconfigurable Active Rectifier for Multiple Input Multple Output (MIMO) Implant Power Management
• A Distance-Immune Low-Power Inductively-Coupled Bidirectional Data Link

Tech ID/UC Case

28917/2017-511-0

Related Cases

2017-511-0

USA