TY - GEN
T1 - A 30μW analog signal processor ASIC for biomedical signal monitoring
AU - Yazicioglu, Refet Firat
AU - Kim, Sunyoung
AU - Torfs, Tom
AU - Merken, Patrick
AU - Van Hoof, Chris
PY - 2010
Y1 - 2010
N2 - Power efficiency of readout circuits for ambulatory monitoring of biopotential signals has been significantly improved during recent years [1]-[3], leaving digital signal processing (DSP) and wireless transmission dominating the system power [4]. In addition, field tests have revealed that motion artifacts are a significant problem requiring even more processing power to differentiate between biological information and irrelevant motion artifacts. The presented Analog Signal Processor (ASP) not only addresses the power efficient extraction of ECG signals, but also improves the state-of-the-art by providing a low-power means for both reducing the data rate of ECG signals through adaptive sampling and improving the robustness by monitoring motion artifacts. It should be noted that these problems are traditionally being tackled in DSP increasing the system power. Referring to Figure 6.6.1, the ASP consists of an ECG readout channel, two quadrature readout channels for continuous-time (CT) monitoring of electrode-tissue impedance, two quadrature readout channels for tracking power fluctuations in a frequency band, and an activity detector (AD) that can sense the frequency content of the ECG signal and adapt the sampling rate of the integrated ADC.
AB - Power efficiency of readout circuits for ambulatory monitoring of biopotential signals has been significantly improved during recent years [1]-[3], leaving digital signal processing (DSP) and wireless transmission dominating the system power [4]. In addition, field tests have revealed that motion artifacts are a significant problem requiring even more processing power to differentiate between biological information and irrelevant motion artifacts. The presented Analog Signal Processor (ASP) not only addresses the power efficient extraction of ECG signals, but also improves the state-of-the-art by providing a low-power means for both reducing the data rate of ECG signals through adaptive sampling and improving the robustness by monitoring motion artifacts. It should be noted that these problems are traditionally being tackled in DSP increasing the system power. Referring to Figure 6.6.1, the ASP consists of an ECG readout channel, two quadrature readout channels for continuous-time (CT) monitoring of electrode-tissue impedance, two quadrature readout channels for tracking power fluctuations in a frequency band, and an activity detector (AD) that can sense the frequency content of the ECG signal and adapt the sampling rate of the integrated ADC.
UR - http://www.scopus.com/inward/record.url?scp=77952129015&partnerID=8YFLogxK
U2 - 10.1109/ISSCC.2010.5434026
DO - 10.1109/ISSCC.2010.5434026
M3 - Conference contribution
AN - SCOPUS:77952129015
SN - 9781424460342
T3 - Digest of Technical Papers - IEEE International Solid-State Circuits Conference
SP - 124
EP - 125
BT - 2010 IEEE International Solid-State Circuits Conference, ISSCC 2010 - Digest of Technical Papers
T2 - 2010 IEEE International Solid-State Circuits Conference, ISSCC 2010
Y2 - 7 February 2010 through 11 February 2010
ER -