μV Signal Detection and Advanced Signal Processing SoC Platform for Brain-Computer Interface (BCI)

μV Signal Detection and Advanced Signal Processing SoC Platform for Brain-Computer Interface (BCI)

  • μV Signal Detection and Advanced Signal Processing SoC Platform for Brain-Computer Interface (BCI)
    ART/168CP
    20140116 - 20151115
    9631

    Ms Karen Wan
    1. Verified BCI silicon IP blocks in 0.25μm/0.35μm process, namely (a) AC-Coupled Instrumentation Amplifier (single ended and fully differential) (b) Chopping Spike Filter (c) Band Limited Variable Gain Amplifier (d) Specified A/D Converter (e) Low Power and Low Voltage Oscillator (programmable with OTP) (f) FFT Block (g) Serial Peripheral Interface (h) electrode amplifiers for dry sensors 2. Silicon verified μV signal detection System-on-Chip (SoC) IC with Analog Front End and Digital Back End 3. Evaluation module of the μV signal detection SoC in BCI application 4. Product development platform of the SoC, including the software interface to a hub controller platform (tablet/smartphone) 5. Application documentations to enable the industry (licensees) to develop BCI related products
    Dr K C Wang Mr Patrick Chang Mr H K Kwan Mr Chi Chiu Tsang Mr Victor So Mr Timothy Or Ms Sidar Lai Mr Yuanzhe Xu Mr Kamny Tang Mr Yichen Li
    Alpheus Digital Co Limited [Sponsor] Hong Kong Polytechnic University Kowloon and Kwai Chung Hospital Solomon Systech (Licensee) [Sponsor] Solomon Systech Limited [Sponsor] The University of Hong Kong and Queen Mary Hospital

    Brain Computer Interface (BCI) system acquires low level signals at the micro-volt level. It maps the bio-potential fluctuations of the brain as detected on the scalp. Extracting brain waves or EEG (electroencephalography) accurately is technologically challenging but they can bring many desirable benefits to mankind. For example, EEG can improve the diagnosis accuracy for brain related diseases. Understanding the signatures of these waves will lead to applications beyond medicine such as electronic game control, entertainment and learning. The objective of this project is to develop a low-cost ultra sensitive signal detection and processing SoC platform for Brain Computer Interface (BCI) applications. It will enable the industry to use ASTRI BCI application specific silicon-proven IPs to build IC products for growing markets in healthcare, learning, electronic games and entertainment. A novel R&D methodology will be pursued to enhance the chance of the success of this development. We will design and verify all the integrated circuit building block IPs individually. The functionality and performance requirements of the building IPs will be verified in a discrete BCI sub-system. Thus the chance of first time success of the integrated BCI SoC is greatly improved. This 18-month project requires a budget of 10.195M. The success of this project will open the door for local industry to the high growth, high margin IC market for medical, electronic game control, entertainment and learning applications. Our society will benefit from these technologies and their applications will have big impact on many aspects of our daily lives.