Ultra-Low Power Design of Wearable Cardiac Monitoring Systems

被引:0
作者
Braojos, Ruben [1 ]
Mamaghanian, Hossein [1 ]
Dias Junior, Alair [1 ]
Ansaloni, Giovanni [1 ]
Atienza, David [1 ]
Rincon, Francisco J. [2 ]
Murali, Srinivasan [2 ]
机构
[1] EPFL, Embedded Syst Lab, Zurich, Switzerland
[2] SmartCardia, Lausanne, Switzerland
来源
2014 51ST ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC) | 2014年
关键词
Wearable Embedded Systems; Bio-Medical Signal Processing; Wireless Body Sensor Nodes; FILTER; ANALOG;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the system-level architecture of novel ultra-low power wireless body sensor nodes (WBSNs) for real-time cardiac monitoring and analysis, and discusses the main design challenges of this new generation of medical devices. In particular, it highlights first the unsustainable energy cost incurred by the straightforward wireless streaming of raw data to external analysis servers. Then, it introduces the need for new cross-layered design methods (beyond hardware and software boundaries) to enhance the autonomy of WBSNs for ambulatory monitoring. In fact, by embedding more onboard intelligence and exploiting electrocardiogram (ECG) specific knowledge, it is possible to perform real-time compressive sensing, filtering, delineation and classification of heartbeats, while dramatically extending the battery lifetime of cardiac monitoring systems. The paper concludes by showing the results of this new approach to design ultra-low power wearable WBSNs in a real-life platform commercialized by SmartCardia. This wearable system allows a wide range of applications, including multi-lead ECG arrhythmia detection and autonomous sleep monitoring for critical scenarios, such as monitoring of the sleep state of airline pilots.
引用
收藏
页数:6
相关论文
共 25 条
[1]   Database-friendly random projections: Johnson-Lindenstrauss with binary coins [J].
Achlioptas, D .
JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 2003, 66 (04) :671-687
[2]   Multisensory brain mechanisms of bodily self-consciousness [J].
Blanke, Olaf .
NATURE REVIEWS NEUROSCIENCE, 2012, 13 (08) :556-571
[3]  
Boichat N, 2009, SIXTH INTERNATIONAL WORKSHOP ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS, PROCEEDINGS, P256, DOI [10.1109/P3644.29, 10.1109/BSN.2009.30]
[4]  
Braojos Lopez R., 2014, P IEEE ACM 2014 DES, V1, P50
[5]  
Braojos R, 2013, DES AUT TEST EUROPE, P899
[6]  
Braojos R, 2012, IEEE INT C BIOINF BI, P99, DOI 10.1109/BIBE.2012.6399715
[7]   Energy-Aware Design of Compressed Sensing Systems for Wireless Sensors Under Performance and Reliability Constraints [J].
Chen, Fred ;
Lim, Fabian ;
Abari, Omid ;
Chandrakasan, Anantha ;
Stojanovic, Vladimir .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2013, 60 (03) :650-661
[8]  
Constantin J., 2012, 2012 IEEE/IFIP 20th International Conference on VLSI and System-on-Chip (VLSI-SoC 2012), P159, DOI 10.1109/VLSI-SoC.2012.6379023
[9]   Cardiac autonomic modulation and cognitive status in Alzheimer's disease [J].
de Vilhena Toledo, Maria Alice ;
Junqueira, Luiz Fernando, Jr. .
CLINICAL AUTONOMIC RESEARCH, 2010, 20 (01) :11-17
[10]  
Duarte M. F., 2005, SIGNAL PROCESSING AD