Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 1597-1600

  Lee, Kyong Ho ^a   Kung, Sun Yuan ^a   Verma, Naveen ^a  

^a Princeton University   (United States)

Author keywords

biomedical devices; energy efficiency; kernel energy trade off; machine learning

Indexed keywords

BIOMEDICAL APPLICATIONS; BIOMEDICAL DEVICES; BIOMEDICAL SENSORS; IMPLANTABLE DEVICES; KERNEL-ENERGY TRADE-OFF; LOW POWER; MACHINE-LEARNING; MODEL COMPLEXITY; PHYSIOLOGICAL SIGNALS; PHYSIOLOGICAL STATE; WEARABLE DEVICES;

BIOSENSORS; ECONOMIC AND SOCIAL EFFECTS; ENERGY EFFICIENCY; IMPLANTS (SURGICAL); LEARNING SYSTEMS; MEDICAL APPLICATIONS; PHYSIOLOGICAL MODELS; PHYSIOLOGY; SIGNAL DETECTION;

SPEECH COMMUNICATION;

EID: 80051660612     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946802     Document Type: Conference Paper

References (10)

1. PhysioNet. http://www.physionet.org
2. A.L. Goldberger, et al., "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals," Circulation, 101(23):e215-e220
3. G. Meyfroidt et al., "Machine learning techniques to examine large patient databases," Best Practices & Research Clinical Anaestheiology, vol. 23, no. 1, pp.127-143, March 2009.
4. MSPsim, http://www.sics.se/project/mspsim
5. P. de Chazal, et al., "Automatic classification of heartbeats using ECG morphology and heartbeat interval features," IEEE Transactions on Biomedical Engineering, vol.51, no.7, pp.1196-1206, July 2004
6. A. Shoeb and J. Guttag, "Application of machine learning to epileptic seizure detection," Proc. of Int. Conf. on Machine Learning, June 2010.
7. N. Verma, et al., "A micro-power EEG acquisition SoC with integrated feature extraction processor for a chronic seizure detection system," IEEE Journal of Solid-State Circuits, vol.45, no.4, pp.804-816, April 2010
8. A. Shoeb, "Application of machine learning to epileptic seizure onset detection and treatment," Ph.D. dissertation. MIT, September 2009
9. E. Shih and J. Guttag, "Reducing energy consumption of multichannel mobile medical monitoring algorithms," in Proceedings of the Second International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments, June 2008
10. SVM Light, http://www.cs.cornell.edu/People/tj/svm-light