Summary
Nowadays, ~220M of the worldwide population of which over 50M only in EU, currently live with more than one chronic condition. Early and accurate detection of adverse events are fundamental for proper clinical management. To meet this need, the healthcare system is becoming increasingly personalized with the help of self-health monitoring systems and in particular medical wearable devices. However, constant monitoring generates large amounts of raw data which must be stored and processed to extract pathological biomarkers. Normally, this is done using microprocessors commonly found in computers as central processing units (CPUs) or graphic processing units (GPUs), or on specialized microprocessors such as digital signal processors (DSPs) that have some limitations as implying high power consumption (>100W) and no real time signal processing.
aiCTX offers DynapIP, a neuromorphic chip with extremely long battery life (3 months) and low-power consumption (
aiCTX offers DynapIP, a neuromorphic chip with extremely long battery life (3 months) and low-power consumption (
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/868586 |
Start date: | 01-06-2019 |
End date: | 30-09-2019 |
Total budget - Public funding: | 71 429,00 Euro - 50 000,00 Euro |
Cordis data
Original description
Nowadays, ~220M of the worldwide population of which over 50M only in EU, currently live with more than one chronic condition. Early and accurate detection of adverse events are fundamental for proper clinical management. To meet this need, the healthcare system is becoming increasingly personalized with the help of self-health monitoring systems and in particular medical wearable devices. However, constant monitoring generates large amounts of raw data which must be stored and processed to extract pathological biomarkers. Normally, this is done using microprocessors commonly found in computers as central processing units (CPUs) or graphic processing units (GPUs), or on specialized microprocessors such as digital signal processors (DSPs) that have some limitations as implying high power consumption (>100W) and no real time signal processing.aiCTX offers DynapIP, a neuromorphic chip with extremely long battery life (3 months) and low-power consumption (
Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
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