Date: Thursday 12 March 2015
Time: 16:00 - 17:30
Location / Room: Salle Oisans
Organiser:
Jo De Boeck, IMEC, BE
Chair:
Chris Van Hoof, IMEC, BE
Co-Chair:
Minkyu Je, Daegu Gyeongbuk Institute of Science and Technology (DGIST), KR
Key to an efficient and effective treatment is early, fast and precise diagnose. This session showcases some of the recent advances and future potential of technologies that help enable the above mentioned requirements for patient centric care.
| Time | Label | Presentation Title Authors |
|---|---|---|
| 16:00 | 12.1.1 | ULTRAFLEXIBLE INTEGRATED CIRCUITS FOR IMPERCEPTIBLE BIO-SENSORS Speaker: Teppei Araki, University of Tokyo, JP Abstract Flexible formfactor is extremely important in medical applications. This presentation demonstrates a 1 micron thick ultraflexible integration platform using thin film transistor technology, and enabling other device integration like OLED and regular diodes and detectors for medical applications like EEG, EMG. Demonstration of this technology in real medical and wearable applications will be given. |
| 16:30 | 12.1.2 | NANOELECTRONICS FOR DISRUPTIVE DIAGNOSTIC PLATFORMS Speaker: Liesbet Lagae, IMEC, BE Abstract Silicon nano-electronics and integrated nano-photonics technology provides an advanced toolbox for disruptive components and systems that will change the way we do diagnostics and therapy outcome monitoring. This enormous potential will be demonstrated by some of the recent developments. |
| 17:00 | 12.1.3 | (Best Paper Award Candidate) AN ULTRA-LOW POWER DUAL-MODE ECG MONITOR FOR HEALTHCARE AND WELLNESS Speaker: Daniele Bortolotti, Università di Bologna, IT Authors: Daniele Bortolotti1, Mauro Mangia1, Andrea Bartolini2, Riccardo Rovatti1, Gianluca Setti3 and Luca Benini4 1Università di Bologna, IT; 2Swiss Federal Institute of Technology in Zurich (ETHZ), CH; 3University of Ferrara, IT; 4Università di Bologna / Swiss Federal Institute of Technology in Zurich (ETHZ), CH Abstract Technology scaling enables today the design of ultra-low cost wireless body sensor networks for wearable biomedical monitors. These devices, according to the application domain, show greatly varying tradeoffs in terms of energy consumption, resources utilization and reconstructed biosignal quality. To achieve minimal energy operation and extend battery life, several aspects must be considered, ranging from signal processing to the technological layers of the architecture. The recently proposed Rakeness-based Compressed Sensing (CS) expands the standard CS paradigm deploying the localization of input signal energy to further increase data compression without sensible RSNR degradation. This improvement can be used either to optimize the usage of a non volatile memory (NVM) to store in the device a record of the biosignal or to minimize the energy consumption for the transmission of the entire signal as well as some of its features. We specialize the sensing stage to achieve signal qualities suitable for both Healthcare (HC) and Wellness (WN), according to an external input (e.g. the patient). In this paper we envision a dual-operation wearable ECG monitor, considering a multi-core DSP for input biosignal compression and different technologies for either transmission or local storage. The experimental results show the effectiveness of the Rakeness approach (up to ≈ 70%) more energy efficient than the baseline) and evaluate the energy gains considering different use case scenarios. Download Paper (PDF; Only available from the DATE venue WiFi) |
| 17:30 | End of session | |