Abstract | ||
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Novel low-voltage, low latency, non-volatile memory (NVM) technologies allow long-term wearable biomedical monitors to benefit from large storage capability, avoiding costly wireless transmissions and enabling, along with proper signal processing and architectural optimization, minimal energy operations and extended battery life. The recently proposed rakeness-based Compressed Sensing (RCS) offers high compression rate with an associated low computational power. This allows an energy trade-off between the compression stage and the storage stage. In this paper we introduce a novel approach, namely zeroing CS, which reduces RCS computational requirements to extremely low levels. The new energy trade-off is analyzed, considering a suitable multi-core DSP and different NVM technologies for local storage. According to our analysis, the proposing zeroing approach is up to 80% more efficient than a standard CS solution and 70% w.r.t. RCS when overall energy requirement is not dominated by storage. |
Year | DOI | Venue |
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2015 | 10.1109/NORCHIP.2015.7364394 | 2015 Nordic Circuits and Systems Conference (NORCAS): NORCHIP & International Symposium on System-on-Chip (SoC) |
Keywords | Field | DocType |
long-term ECG monitoring,zeroing compressed sensing approach,nonvolatile memory technologies,long-term wearable biomedical monitors,storage capability,wireless transmissions,signal processing,architectural optimization,energy operations,extended battery life,rakeness-based compressed sensing,high compression rate,compression stage,storage stage,zeroing CS,RCS computational requirements,multicore DSP,different NVM technologies,local storage | Signal processing,Digital signal processing,Data compression ratio,Wireless,Computer science,Wearable computer,Real-time computing,Non-volatile memory,Latency (engineering),Compressed sensing | Conference |
Citations | PageRank | References |
2 | 0.37 | 17 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mauro Mangia | 1 | 125 | 20.94 |
Daniele Bortolotti | 2 | 75 | 7.13 |
Andrea Bartolini | 3 | 457 | 51.90 |
Fabio Pareschi | 4 | 226 | 32.16 |
Luca Benini | 5 | 13116 | 1188.49 |
R. Rovatti | 6 | 402 | 44.72 |
Gianluca Setti | 7 | 478 | 71.19 |