TY - GEN
T1 - A 1.2-0.55V general-purpose biomedical processor with configurable machine-learning accelerators for high-order, patient-adaptive monitoring
AU - Lee, Kyong Ho
AU - Verma, Naveen
PY - 2012/12/14
Y1 - 2012/12/14
N2 - Machine learning offers powerful advantages in sensing systems, enabling the creation and adaptation of highorder signal models by exploiting the sensed data. We present a general-purpose processor that employs configurable machine-learning accelerators to analyze physiological signals at low energy levels for a broad range of biomedical applications. Implemented in 130nm LP CMOS, the processor operates from 1.2V-0.55V (logic). It achieves real-time EEG-based seizure detection at 273μW (at 0.85V) and patient-adaptive ECG-based cardiac-arrhythmia detection at 124μW (at 0.75V), yielding overall energy savings of 62.4× and 144.7× thanks to the accelerators.
AB - Machine learning offers powerful advantages in sensing systems, enabling the creation and adaptation of highorder signal models by exploiting the sensed data. We present a general-purpose processor that employs configurable machine-learning accelerators to analyze physiological signals at low energy levels for a broad range of biomedical applications. Implemented in 130nm LP CMOS, the processor operates from 1.2V-0.55V (logic). It achieves real-time EEG-based seizure detection at 273μW (at 0.85V) and patient-adaptive ECG-based cardiac-arrhythmia detection at 124μW (at 0.75V), yielding overall energy savings of 62.4× and 144.7× thanks to the accelerators.
UR - http://www.scopus.com/inward/record.url?scp=84870801482&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870801482&partnerID=8YFLogxK
U2 - 10.1109/ESSCIRC.2012.6341275
DO - 10.1109/ESSCIRC.2012.6341275
M3 - Conference contribution
AN - SCOPUS:84870801482
SN - 9781467322126
T3 - European Solid-State Circuits Conference
SP - 285
EP - 288
BT - 2012 Proceedings of the European Solid State Circuits Conference, ESSCIRC 2012
T2 - 38th European Solid State Circuits Conference, ESSCIRC 2012
Y2 - 17 September 2012 through 21 September 2012
ER -