Wireless cortical implants; Bio-electronic interfaces; Cortical microelectronic implants
Ranjandish Reza, Schmid Alexandre (2017), A Compact Size Charge-Mode Stimulator Using a Low-Power Active Charge Balancing Method for Deep Brain Stimulation, in Proc. IEEE 2017 Biomedical Circuits & Systems Conference
, Torino, ITIEEE, Torino, IT.
Ranjandish Reza, Schmid Alexandre (2017), An Active Charge Balancing Method Based on Anodic Current Variation Monitoring, in Proc. IEEE 2016 Biomedical Circuits & Systems Conference
, Torino, ITIEEE, Torino, IT.
Ture Kerim, Ranjandish Reza, Yilmaz Gurkan, Seiler Stefanie, Widmer Hans Rudolf, Schmid Alexandre, Maloberti Franco, Dehollain Catherine (2017), Power/data platform for high data rate in implanted neural monitoring system, in Proc. IEEE 2017 Biomedical Circuits & Systems Conference
, Torino, ITIEEE, Torino, IT.
Ranjandish Reza, Schmid Alexandre (2016), An Active Charge Balancing Method Based on Self-Oscillation of the Anodic Current, in Proc. IEEE 2016 Biomedical Circuits & Systems Conference
, Shangai, ChinaIEEE, Shangai, China.
Ranjandish Reza, Schmid Alexandre (2016), High Frequency Self-oscillating Current Switching for a Fully Integrated Fail-safe Stimulator Output Stage, in Proc. 2016 12th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME)
, Lisbon, PortugalIEEE, Lisbon, Portugal.
Ture Kerim, Yilmaz Gurkan, Maloberti Franco, Dehollain Catherine (2016), Optimization of the data rate of an OOK CMOS medical transmitter based on LC oscillators, in Proc. 2016 IEEE International Symposium on Circuits & Systems
, Montreal, CAIEEE, Montreal, CA.
Ture Kerim, Kilinc E. G., Maloberti Franco, Dehollain Catherine (2016), Remotely powered PPM demodulator by inductive coupling for rodent applications, in Analog Integrated Circuits and Signal Processing
, 88(2), 359-368.
Ranjandish Reza, Schmid Alexandre, Current Overshoots and Undershoots in Electrical Stimulation: a Circuit-Level Perspective of the Origin and Solutions, in Proc. 2018 IEEE International Symposium on Circuits & Systems
, Florence, ITIEEE, Florence, IT.
Monitoring epileptogenic cortical areas in-vivo has been carried out in clinical environment within the context of epilepsy treatment consisting in detecting and subsequently resecting incriminated areas. The determination of the epileptogenic areas as well as the development of future implantable systems aiming at early detection or prediction of the seizure both are in need of autonomous implantable recording systems that enable patients to be monitored in their home environment. To this extent, portable and autonomous solutions to cortical implantable recording systems must be provided. No such full system exists to date, though several research groups have proposed block-level solutions, efficiently implementing some parts of the system. To date, the efficient operation and implementation of several blocks pertaining to cortical implants have been achieved resulting in a fair understanding of block-level engineering issues and their potential solution. A true system-level approach is needed to enable the systematic study and further development of cortical implants. This project is proposed as a continuation of the SNSF-funded projects No. 130166 and 14972 “Implantable Bio-Electronics for Wireless and High-Resolution Monitoring of Epilepsy in-vivo,” formally extending over the period of December 2010 through November 2014, and intends to exploit the achieved knowledge and scientific results to extend the research towards system-level issues, their modeling and the optimization of the developed system, considering a special emphasis to power management. The founding hypothesis of the proposed research consists of the necessity to provide the implant time-based partial autonomy with respect to its external base station. For example, the patients must be allowed to disconnect themselves from the external base station for several hours while trusting the implant to continue operation in automatically adapted state. This fundamental constraint on the operation of the dual consisting of the external base station and the implanted system has tremendous impact on the way the system must be conceived and controlled. The research proposes to tackle the involved issues into the development of a systematic approach to the conception and control of semi-autonomous cortical implants, and proposes to achieve the following scientific goals:•study of a system level (top-down) development methodology based on a rigorous modeling at high and middle levels of abstraction and an optimization procedure with specific emphasize on power dissipation; the system is assumed powered by an external base station mounted on a lightweight helmet; the external base station can be disconnected from the implant which is semi-autonomous;•method for partitioning the algorithms derived in the methodology into external, implanted hardware and software; development of an external and implanted processor supporting the control and dynamic power optimization of the implant; development of power management circuits;•development of cortical recording patches based on a 64-channel integrated circuit embedded into a patch supporting a dense arrangement of microelectrodes; study of flexible patch technology based on wire-bonding technique extensions;•study and development of a wireless power and data transmission system, and an implantable battery management system that fully supports the power management methodology and hardware;•study of seizure detection and prediction algorithms, and partitioning methodology into the analog front-end sensor, and the implanted and external digital hardware based feature extraction; development of the internal memory supporting data storage in autonomous mode, and that supports the power management methodology;•animal experiments studying the effectiveness of high-density readout electrodes, the developed patches, and study of epileptogenic signal capture and seizure detection using the proposed system.The project aims at gathering the theoretical and development parts into one comprehensive system and methodology, that is applied to epilepsy study in-vivo and that will conduct to implantable system with the capacity of modulating or suppressing seizures. This research project is presented as part of long-term goals of the research groups, which have been active and have collaborated in the domain for several years.