13
University of Tehran School of Electrical and Computer Engineering ISSCC 2013 Intra-Cardiac Signal-Processing IC Spring 2013 by: Yasser Rezaeiyan Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013

University of Tehran School of Electrical and Computer Engineering

  • Upload
    belle

  • View
    31

  • Download
    0

Embed Size (px)

DESCRIPTION

University of Tehran School of Electrical and Computer Engineering . ISSCC 2013 Intra-Cardiac Signal-Processing IC. Spring 2013. - PowerPoint PPT Presentation

Citation preview

Page 1: University of Tehran School of Electrical and Computer Engineering

University of TehranSchool of Electrical and Computer

Engineering

ISSCC 2013

Intra-Cardiac Signal-Processing IC

Spring 2013

 by:Yasser Rezaeiyan

 

Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013

Page 2: University of Tehran School of Electrical and Computer Engineering

Cardiac biologic system

8006004002000-6

-4

-2

0

2

4

6

8

Time, ms

Volta

ge, m

V

S–T elevation

ECG

Intracardiac electrogram

J.G. Webster,”Design of Cardiac Pacemaker” , IEEE PRESS 1998. 1/12

Page 3: University of Tehran School of Electrical and Computer Engineering

Importance of Intra-Cardiac SPThe accurate recognition of multiple intra-

cardiac signals is becoming more and more important for:Cardiac Resynchronization Therapy (CRT)the analysis of the intra-thoracic fluid status

But for Cardiac pacemakerRobust and accurate heart rate (HR) at the

right/left ventricles and right atriumBut for the intra-cardiac rhythm analysis

accurate motion sensorthoracic impedance measurement Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range

and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013J.G. Webster,”Design of Cardiac Pacemaker” , IEEE PRESS 1998. 2/12

Page 4: University of Tehran School of Electrical and Computer Engineering

Cardiac PacemakerMemory

AV interval timer

Pacing interval timer

Microprocessor

Telemetry Atrial stimulus generator

Atrial sense

Ventricular sense

Ventricular stimulus generator

Data bus

To heart

Implantable Cardiac pacemaker Requirement:Ultra Low Power 7-10 years life timeHigh Accuracy intra cardiac Signal AnalysisSmall System delay < 10 msSmall Size

Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013J.G. Webster,”Design of Cardiac Pacemaker” , IEEE PRESS 1998. 3/12

Page 5: University of Tehran School of Electrical and Computer Engineering

Analog signal processing IC

It consists of: 3 power-efficient intra-cardiac signal readout channels An ultra-low-power readout circuit for an external accelerometer(RA) Two quadrature bio-impedance readout channels

Digitized sinusoidal current generator

Accurate Wide dynamic range

Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013 4/12

Page 6: University of Tehran School of Electrical and Computer Engineering

Intra-thoracic fluid analysis requirespurely sinusoidal current source

Resolve bio-impedance down to a mΩ-range change (AC) superimposed on up to a kΩ-range average (DC) impedance

This approach consumes many mWs of powerμW-range power consumption can be

achieved by square-wave current combined with

quadrature demodulation intolerable measurement errors as high as 23%

Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013

5/12

Page 7: University of Tehran School of Electrical and Computer Engineering

Current Generator16-level quantized-sinusoidal current source

Suppresses all harmonics’ power below the 63rd

harmonic: High resolution with high THD

Low power consumptionBenefits of this approach:

Maximize the power efficiency Mitigate the AC current mismatch Simply adjust the current magnitude (10–

40μAp-p)

Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013 6/12

Page 8: University of Tehran School of Electrical and Computer Engineering

Bio-impedance readout channel Quadrature demodulation Extract both DC and AC bio-impedance Offset of the QIRC may affect the

accuracy of the DC bio-impedance calculation that resolve with Multi-Purpose Chopper

These offset values are calibrated in the DSP

97% accuracy (THD < 3%)

Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013 7/12

Page 9: University of Tehran School of Electrical and Computer Engineering

Programmable QRS extraction Consumes only 426nA

Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013 8/12

Page 10: University of Tehran School of Electrical and Computer Engineering

ConclusionASP IC for

emerging CRT:achieve accuracy-

delay optimization for HR monitoring

programmable QRS feature extractor

Highly accurate ultra-low-power

(only 20μW when all channel are active)

Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013 9/12

Page 11: University of Tehran School of Electrical and Computer Engineering

Trend Pacemakers Leadless Pacemakers

www.medtronic.com10/12

Page 12: University of Tehran School of Electrical and Computer Engineering

Refrences Sunyoung Kim et al, "A 20µW intra-cardiac signal-processing IC with 82dB

bio-impedance measurement dynamic range and analog feature extraction for ventricular fibrillation detection," Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2013 IEEE International , vol., no., pp.302,303, 17-21 Feb. 2013

J.G. Webster,”Design of Cardiac Pacemaker” , IEEE PRESS 1998. www.medtronic.com

11/12

Page 13: University of Tehran School of Electrical and Computer Engineering

Thanks for your attention

12/12