Emerging Brain-computer Interface Technologies for Healthcare Applications - Microelectronics TOE

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This issue of Microelectronics TOE covers recent developments in brain-computer interface (BCI) technologies for healthcare applications. Innovations profiled include BCI enabling sense of touch for disabled by the University of Chicago Medicine, speech recognition from neural networks by the University of Bremen, a bi-directional BCI providing sense of touch by the University of Washington, and an artificial neural network using memristors by the University of Southampton. The Microelectronics TechVision Opportunity Engine (TOE) captures global electronics-related innovations and developments on a weekly basis. Developments are centred on electronics attributed by low power and cost, smaller size, better viewi

Table of Contents

Emerging Brain-computer Interface Technologies for Healthcare Applications - Microelectronics TOEInnovations in BCI TechnologyBCI Enabling Sense of Touch for Differently Abled PeopleSpeech Recognition from Neural NetworksSense of Touch Enabled Using Brain SignalsArtificial Neural Networks Using MemristorsStrategic PerspectivesStrategic Perspectives Strategic Perspectives (continued) Industry Contacts

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