KEYWORDS: Digital signal processing, Signal processing, Image processing, Space operations, Telecommunications, System on a chip, Data processing, Software development, Synthetic aperture radar, Computer architecture
The on-board data processing is a vital task for any satellite and spacecraft due to the importance of elaborate the sensing
data before sending them to the Earth, in order to exploit effectively the bandwidth to the ground station. In the last years
the amount of sensing data collected by scientific and commercial space missions has increased significantly, while the
available downlink bandwidth is comparatively stable. The increasing demand of on-board real-time processing
capabilities represents one of the critical issues in forthcoming European missions. Faster and faster signal and image
processing algorithms are required to accomplish planetary observation, surveillance, Synthetic Aperture Radar imaging
and telecommunications. The only available space-qualified Digital Signal Processor (DSP) free of International Traffic
in Arms Regulations (ITAR) restrictions faces inadequate performance, thus the development of a next generation
European DSP is well known to the space community.
The DSPACE space-qualified DSP architecture fills the gap between the computational requirements and the available
devices. It leverages a pipelined and massively parallel core based on the Very Long Instruction Word (VLIW)
paradigm, with 64 registers and 8 operational units, along with cache memories, memory controllers and SpaceWire
interfaces. Both the synthesizable VHDL and the software development tools are generated from the LISA high-level
model. A Xilinx-XC7K325T FPGA is chosen to realize a compact PCI demonstrator board. Finally first synthesis results
on CMOS standard cell technology (ASIC 180 nm) show an area of around 380 kgates and a peak performance of 1000
MIPS and 750 MFLOPS at 125MHz.
Today Chronic Heart Failure (CHF) represents one of leading cause of hospitalization among chronic disease, especially
for elderly citizens, with a consequent considerable impact on patient quality of life, resources congestion and healthcare
costs for the National Sanitary System. The current healthcare model is mostly in-hospital based and consists of periodic
visits, but unfortunately it does not allow to promptly detect exacerbations resulting in a large number of rehospitalization.
Recently physicians and administrators identify telemonitoring systems as a strategy able to provide
effective and cost efficient healthcare services for CHF patients, ensuring early diagnosis and treatments in case of
necessity. This work presents a complete and integrated ICT solution to improve the management of chronic heart failure
through the remote monitoring of vital signs at patient home, able to connect in-hospital care of acute syndrome with
out-of-hospital follow-up. The proposed platform represents the patient's interface, acting as link between biomedical
sensors and the data collection point at the Hospital Information System (HIS) in order to handle in transparent way the
reception, analysis and forwarding of the main physiological parameters.
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