The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We present ongoing work on a platform for mobile health and implantable telemetry devices with powerful point-of-contact processing capabilities based on our VivoSoC multi-sensor medical instrumentation SoC, a custom power management IC, and only a few additional components - allowing the realisation of sub-ccm devices. We detail the powerful yet efficient acquisition and parallel processing capabilities...
Real-time biosignal classification in power-constrained embedded applications is a key step in designing portable e-healtb devices requiring hardware integration along with concurrent signal processing. This paper presents an application based on a novel biomedical System-On-Chip (SoC) for signal acquisition and processing combining a homogeneous multi-core cluster with a versatile bio-potential front-end...
In battery-powered medical instrumentation, the resolution and signal bandwidth of analog-to-digital converters (ADCs) have to be adapted to the needs of the application to avoid power wastage. This paper presents a reconfigurable successive approximation register (SAR) ADC implemented in 130 nm CMOS that resolves 5–14 bit with a maximum achievable effective number of bits (ENOB) of 13.5 using non-subtractive...
On-chip AER serialization is a required step for the successful integration of event-driven neuromorphic devices on complex robotic platforms. We propose an architecture and its implementation on AMS 180nm technology, synthesised with the Quasi-Delay Insensitive design principles and with minimum timing assumptions. The serialization of 19 bits completes in 70ns with an average power consumption of...
Homeostatic plasticity is a property of biological neural circuits that stabilizes their neuronal firing rates in face of input changes or environmental variations. Synaptic scaling is a particular homeostatic mechanism that acts at the level of the single neuron over long time scales, by changing the gain of all its afferent synapses to maintain the neuron's mean firing within proper operating bounds...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.