optimization Design of Submodule Cascade Sequence in Biomedical Circuits

A biomedical circuit usually consists of multiple submodules cascading together (e.g., low pass filters, high pass filters, or band pass filters, etc Cascade sequence between these submodules impacts on the anti-powerline interference ability of the whole circuit. In order to get the best anti-powerline interference ability for the circuit, an optimization design method of submodule cascade sequence is proposed. Firstly, a mathematical optimization model is build, which takes the equivalent amplification factor of the intermediate stage powerline interference as the objective function and the submodule cascade sequence as the independent variable, and then the optimization algorithm to solve the model is described. Experiment results show that optimization design of submodule cascade sequence for biomedical circuits is necessary and the proposed model and its solving algorithm are effective.

[1]  Adrian Baranchuk,et al.  NEW METHODOLOGIES FOR MEASURING BRUGADA ECG PATTERNS CANNOT DIFFERENTIATE THE ECG PATTERN OF BRUGADA SYNDROME FROM BRUGADA PHENOCOPY , 2015 .

[2]  Ningbo Zhang,et al.  Method to design microwave band-stop filter based on CPW , 2011 .

[3]  Hyunki Kim,et al.  A Wearable EEG-HEG-HRV Multimodal System With Simultaneous Monitoring of tES for Mental Health Management , 2015, IEEE Transactions on Biomedical Circuits and Systems.

[4]  Shyamanta M. Hazarika,et al.  Exploring a family of wavelet transforms for EMG-based grasp recognition , 2015, Signal Image Video Process..

[5]  Marvin Onabajo,et al.  A fully-differential CMOS low-pass notch filter for biosignal measurement devices with high interference rejection , 2014, 2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS).

[6]  M. Greitans,et al.  EEG data acquisition system based on asynchronous sigma-delta modulator , 2012, 2012 13th Biennial Baltic Electronics Conference.

[7]  E.M. Spinelli,et al.  A transconductance driven-right-leg circuit , 1999, IEEE Transactions on Biomedical Engineering.

[8]  L. Leija,et al.  Sixteen channels Holter to EEG signal , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[9]  Refet Firat Yazicioglu,et al.  A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications , 2011, IEEE Transactions on Biomedical Circuits and Systems.

[10]  Roberto Merletti,et al.  Geometry assessment of anal sphincter muscle based on monopolar multichannel surface EMG signals. , 2011, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[11]  Refet Firat Yazicioglu,et al.  A 160μW 8-channel active electrode system for EEG monitoring , 2011, 2011 IEEE International Solid-State Circuits Conference.

[12]  Georgy Mihov,et al.  Subtraction procedure for removing powerline interference from ECG: Dynamic threshold linearity criterion for interference suppression , 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

[13]  Anantha Chandrakasan,et al.  An 8-Channel Scalable EEG Acquisition SoC With Patient-Specific Seizure Classification and Recording Processor , 2013, IEEE Journal of Solid-State Circuits.

[14]  Luca Benini,et al.  A Versatile Embedded Platform for EMG Acquisition and Gesture Recognition , 2015, IEEE Transactions on Biomedical Circuits and Systems.

[15]  Refet Firat Yazicioglu,et al.  A $160~\mu {\rm W}$ 8-Channel Active Electrode System for EEG Monitoring , 2011, IEEE Transactions on Biomedical Circuits and Systems.

[16]  Omkar Singh,et al.  Powerline interference reduction in ECG signals using empirical wavelet transform and adaptive filtering , 2015, Journal of medical engineering & technology.