Power/performance exploration of single-core and multi-core processor approaches for biomedical signal processing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6951 LNCS, Issue , 2011, Pages 102-111

  Dogan, Ahmed Yasir ^a   Atienza, David ^a   Burg, Andreas ^a   Loi, Igor ^b   Benini, Luca ^b  

^a EPFL   (Switzerland)

^b UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

ECG; Near Threshold Computing; Parallel Processing; WBSN

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; BIOSIGNALS; DATA MEMORY; ELECTROCARDIOGRAM SIGNAL; HEALTH MONITORING SYSTEM; INSTRUCTION MEMORIES; MULTI CORE; MULTI-CORE PROCESSOR; MULTICORE ARCHITECTURES; NEAR THRESHOLD COMPUTING; PARALLEL COMPUTATION; PARALLEL PROCESSING; PERFORMANCE TRADE-OFF; PROCESSING CORE; WBSN;

ELECTROCARDIOGRAPHY; MEMORY ARCHITECTURE; MICROCOMPUTERS; OPTIMIZATION; SIGNAL PROCESSING; SYSTEMS ANALYSIS; TIMING CIRCUITS;

PARALLEL PROCESSING SYSTEMS;

EID: 80053492107     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24154-3_11     Document Type: Conference Paper

References (14)

1. Mamaghanian, H., et al.: Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes. IEEE Transactions on Biomedical Engineering 12, 120-129 (2011)
2. Hanson, M.A., et al.: Body Area Sensor Networks: Challenges and Opportunities. IEEE Computer 42, 58-65 (2009)
3. Rincon, F., et al.: Multi-Lead Wavelet-Based ECG Delineation on a Wearable Embedded Sensor Platform. Computers in Cardiology, 289-292 (2010)
4. Hanson, S., et al.: Exploring variability and performance in a sub-200 mV processor. IEEE J. Solid-State Circuits 43, 881-891 (2008)
5. Zhai, B., et al.: A 2.60 pJ/Inst subthreshold sensor processor for optimal energy efficiency. In: Symposium on VLSI Circuits. Digest of Technical Papers, Honolulu (2006)
6. Wang, A., Chandrakasan, A.: A 180 mV FFT processor using sub- threshold circuit techniques. In: IEEE Int. Solid-State Circuits Conference. Dig. Tech. Papers (2004)
7. Dreslinski, R.G., et al.: Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits. Proceedings of the IEEE 98, 253-266 (2010)
8. Chen, G., et al.: Millimeter-scale nearly perpetual sensor system with stacked battery and solar cells. In: Solid-State Circuits Conference. Digest of Technical Papers, San Francisco (2010)
9. Hanson, S., et al.: A Low-Voltage Processor for Sensing ApplicationsWith Picowatt Standby Mode. IEEE J. Solid-State Circuits 44, 1145-1155 (2009)
10. Dreslinkski, R.G., et al.: An Energy Efficient Parallel Architecture Using Near Threshold Operation. In: 16th International Conference on Parallel Architecture and Compilation Techniques, Brasov, pp. 175-188 (2007)
11. Yu, P., et al.: An Ultra-Low-Energy Multi-Standard JPEG Co-Processor in 65 nm CMOS With Sub/Near Threshold Supply Voltage. IEEE J. Solid-State Circuits 45, 668-680 (2010)
12. Krimer, E., et al.: Synctium: a Near-Threshold Stream Processor for Energy-Constrained Parallel Applications. Computer Architecture Letters 9, 21-24 (2010)
13. Sun, Y., et al.: ECG signal conditioning by morphological filtering. Computers in Biology and Medicine 32(6), 465-479 (2002)
14. Rahimi, A., et al.: A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters. In: Design, Automation Test in Europe Conference Exhibition (DATE), pp. 1-6 (2011)