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Present Solutions to the Problem of
Electromagnetic Interference: Are
They Good Enough?

         Sergio L. Pinski, MD
       Cleveland Clinic Florida
          Weston, FL, USA
Presenter Disclosure Information

 BostonScientific, Medtronic, St
 Jude: consultant, member of
 speaker’s bureau
Pacemaker and ICD Responses to EMI
   Pacing inhibition
   Triggering of rapid or premature
    pacing
   Spurious tachyarrhythmia detection
   Noise reversion mode
   Electric (power-on) reset
   Closure of the reed-switch
   Damage to the generator or the
    electrode-myocardial interface
Pinski SL. PACE 2002;25:1367
Results
Episode Adjudication

          5,248 Episodes
           with Rhythm
           Classification


    3678 (70%)
                     1570 (30%)                 Estimated incidence
    Appropriate
                    Inappropriate                 1 year 5 year
   (MVT / PVT /
                    (non-VT / VF)                   6%      17%
       VF)

           820 (27.4%)        134 (2.6%)
                                                Estimated incidence
          Atrial Fib, SVT,   Noise, Artifact,
                                                  1 year 5 year
           sinus tach, or     Oversensing
                                                   1.1%     1.8%
          non-sustained



                                                                      Page 12
Results
Episode Classification

                                                Percent   Percent of
                                                 of all     NAO
      Classification         Episodes Patients Episodes   Episodes
  External noise / EMI         76       56      1.4%        56.7%
  Lead / Connector             37       30      0.7%        27.6%
  Muscle noise                  11      11      0.2%        8.2%
  Ventricular lead
                                7        3      0.1%        5.2%
  oversensing of atrium
  T wave oversensing            2        2      0.1%        1.5%
  Other noise,
                                1        1      0.1%        0.7%
  oversensing
                     Total     134      101     2.6%       100.0%




                                                                    Page 13
Results
Incidence of NAO Resolution With Shock by Subtype

  Category                                Episodes with Decrease in Noise
  External noise / EMI                                  44 / 76 (58%)
  Lead/Connector                                        13 / 37 (35%)
  Muscle noise                                           3 / 11 (27%)
  Other noise/oversensing                                0 / 10 (0%)
                               Total                   60 / 134 (45%)
    P = .03 comparing External/EMI to Lead/Connector to Muscle – Fisher Exact test.

                Example of                                  Example with
         noise reduction post shock                      no change post shock




                                                                                      Page 14
Santucci et al. NEJM
1998;339:1371
Mitigation of EMI

   Shielding
   Bipolar sensing (lower frequencies)
   Electronic filtering (passive and
    active)
   Noise rejection algorithms
   Noise reversion mode
Design Constraints
• Need to sense very low level biological
  signals
     More ICDs than PMs, more in the atrial than
      ventricular channel
• Small size is highly desirable by patients
  and physicians for comfort and appearance
  but limits size and number of components
• Low power
     Power used to mitigate EMI reduces the life or
      increases the battery size of the device
Passive Filter Attenuation vs. Frequency
EMI Filter
                                                      Installation

In order to function properly at high frequencies, the EMI filter must be
installed (laser welded) so that it forms an integral part of the overall EMI
shield:




       Filtered Hermetic Seal

                  Titanium Can
                   (EMI Shield)
Example of Passive
                            EMI Filter Performance

              Cardiac Sense Lead
without EMI filter                 with EMI filter

            100 MHz to 10 GHz               100 MHz to 10 GHz
Noise rejection algorithm
         Clinical example of DNA in action: Identical noise and 5 mV R-wave in both devices




 Legacy Device                                                 COGNIS & TELIGEN




Legacy devices could have sensed this noise as a         COGNIS-TELIGEN recognizes the low level signal as noise
               physiologic signal                                and appropriately adjusts sensitivity
– DNA uses the characteristics of a noise signal—frequency and
        energy—to identify a signal as noise
      – When noise is present, DNA keeps the AGC floor above the noise
      – DNA is automatically active on all three sensing channels: atrium,
        right ventricle and left ventricle




   Note the presence of
   electroconvulsive therapy
   noise on the ventricular
   rate sensing channel and
   on the shocking egram
   channel. In this Case
   Study, DNA keeps AGC
   sensing floor above noise.

Note: DNA will not make the Boston Scientific devices immune from sensing all noise. The device could still sense EMI or other sources of high amplitude noise.




                                                                                                                                                                  Page 25
Sorin Group Noise Management - Tachy
• Since 1996 Sorin Group/ELA has had a ventricular noise circuit in all
  its ICDs
• Based on the premise that human beings cannot sustain intervals in
  the 188-125 ms range. If intervals consistently in that range are
  seen they are most likely the result of EMI (noise).
• After several retriggered windows Ventricular Sensitivity is
  decreased by 0.2 mV on each retriggered window until not
  retriggered. This process is done on a beat to beat basis
• The circuit is turned off for 15 cycles with an interval of
  400 ms to 188 ms to assure arrhythmia detection
• On the 16th cycle, if there has not been an interval larger than 188
  ms the noise circuit is turned on again
• Atrial noise circuit similar to Brady function
Sorin Group Noise Management - Tachy

             R
P                                                      V
                                          P


                   95 30
                                                           220 30


    Figures show the addition of a 30 ms noise window to the 95 ms (sensed)
    or the 220 ms (paced) absolute refractory
Sorin Group Noise Management - Tachy


                                        AVD
                                       95 ms

       95 ms                              95 ms




               125 ms                             125 ms


Noise level

                        0.2 mV steps
Sensitivity level                      Ventricular pacing can be inhibited
                                       (parameter “V pacing on noise”)


 Graphic representation of noise sensing to the point of decreasing V sensing
 See example on the following slide
                                                                       29
ICD Ventricular Noise Circuit Example




                    30

        15 Cycles with noise circuit off after fast cycle

                                                            30
Noise Reversion Modes
                                                    Programmable
Manufacturer        Noise detection window          response                Additional features



Boston Scientific                              XOO (nominal), Inhibit       Non programmable
ICDs                40 ms retriggerable window pacing                       Dynamic Noise Algorithm



                    Programmed                      Non programmable
Medtronic PMs       atrial/ventricular refractory   asynchronous pacing


Medtronic ICDs      Not available                                           RV lead noise detection
                                                    Inhibit (nominal), pace Reduced sensitivity by 0.2
Sorin Paradym       125-188 ms                      asynchronous            ms q 16 ms


St Jude PMs         30 Hz                           XOO (nomimal), off
                                                    XOO 50 BPM (nomimal),
St Jude ICDs        100 Hz                          off
Determinants of the Clinical
Consequences of EMI
   Intensity of the field
   Signal spectrum
   Distance and position of the patient
    Duration of exposure
    Nonprogrammable device characteristics
    Lead configuration
    Programmed parameters
       Sensitivity
       Mode (baseline, noise reversion, committed)
    Patient characteristics
       Pacemaker-dependency
       Susceptibility to asynchronous pacing
       Susceptibility to rapid pacing rates
ANSI/AAMI PC69 standards -2207
 Extensive guideline for in vitro
    testing of pacemaker and ICDs
   Typical settings, (eg cellular
    phone operating at 6 inches)
   Different frequencies
   Tests also to rule out damage to
    the generator from electrocautery
    and external defibrillation
AAMI PC9- Testing for low-frequency EMI via
                  injected current


 6




ISO 14708-2/EN 45502-2-1 Connection of tissue equivalent interface
circuit (left) and multichannel bipolar cardiac pacemaker (right).
AAMI PC69- Testing for radiated EMI > 450 MHz
   “There are known knowns; there
    are things we know we know. We
    also know there are known
    unknowns; that is to say we know
    there are some things we do not
    know. But there are also unknown
    unknowns -- the ones we don't
    know we don't know."

               Donald Rumsfeld, US Secretary of Defense
Cell Phone EMI



• Cellular phone without amplification:
     0.3 to 0.6 watts

• Cell phone with 3 watt after market
  amplifier and 9 dB gain antenna:
     23.8 watts
Garg et al. JICE 2002;7:181
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Beginning of oversensing




                           Furrer et al. NEJM 2004;350:1689
Wayar et al. PACE 2003;26:1292
Conclusions

   Full electromagnetic compatibility
    has not been achieved yet (and
    may never be)
   Multiple potential sources of EMI
    exist in daily life, work and
    medical environments
Conclusions

   Improvement in sensing circuits and
    algorithms together with better
    awareness of sources of
    electromagnetic interference have
    already reduced EMI
   Continous surveillance is needed as
    new emitting sources are introduced
Conclusions

   Sources of further minimization
   Continuous improvements in
    device engineering
   Awareness of manufacturers of
    emitters
   Patient and public education
Present solutions to the problem of electromagnetic interference final

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Present solutions to the problem of electromagnetic interference final

  • 1. Present Solutions to the Problem of Electromagnetic Interference: Are They Good Enough? Sergio L. Pinski, MD Cleveland Clinic Florida Weston, FL, USA
  • 2. Presenter Disclosure Information  BostonScientific, Medtronic, St Jude: consultant, member of speaker’s bureau
  • 3.
  • 4. Pacemaker and ICD Responses to EMI  Pacing inhibition  Triggering of rapid or premature pacing  Spurious tachyarrhythmia detection  Noise reversion mode  Electric (power-on) reset  Closure of the reed-switch  Damage to the generator or the electrode-myocardial interface
  • 5. Pinski SL. PACE 2002;25:1367
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Results Episode Adjudication 5,248 Episodes with Rhythm Classification 3678 (70%) 1570 (30%) Estimated incidence Appropriate Inappropriate 1 year 5 year (MVT / PVT / (non-VT / VF) 6% 17% VF) 820 (27.4%) 134 (2.6%) Estimated incidence Atrial Fib, SVT, Noise, Artifact, 1 year 5 year sinus tach, or Oversensing 1.1% 1.8% non-sustained Page 12
  • 13. Results Episode Classification Percent Percent of of all NAO Classification Episodes Patients Episodes Episodes External noise / EMI 76 56 1.4% 56.7% Lead / Connector 37 30 0.7% 27.6% Muscle noise 11 11 0.2% 8.2% Ventricular lead 7 3 0.1% 5.2% oversensing of atrium T wave oversensing 2 2 0.1% 1.5% Other noise, 1 1 0.1% 0.7% oversensing Total 134 101 2.6% 100.0% Page 13
  • 14. Results Incidence of NAO Resolution With Shock by Subtype Category Episodes with Decrease in Noise External noise / EMI 44 / 76 (58%) Lead/Connector 13 / 37 (35%) Muscle noise 3 / 11 (27%) Other noise/oversensing 0 / 10 (0%) Total 60 / 134 (45%) P = .03 comparing External/EMI to Lead/Connector to Muscle – Fisher Exact test. Example of Example with noise reduction post shock no change post shock Page 14
  • 15. Santucci et al. NEJM 1998;339:1371
  • 16. Mitigation of EMI  Shielding  Bipolar sensing (lower frequencies)  Electronic filtering (passive and active)  Noise rejection algorithms  Noise reversion mode
  • 17. Design Constraints • Need to sense very low level biological signals  More ICDs than PMs, more in the atrial than ventricular channel • Small size is highly desirable by patients and physicians for comfort and appearance but limits size and number of components • Low power  Power used to mitigate EMI reduces the life or increases the battery size of the device
  • 18.
  • 19.
  • 20.
  • 21. Passive Filter Attenuation vs. Frequency
  • 22. EMI Filter Installation In order to function properly at high frequencies, the EMI filter must be installed (laser welded) so that it forms an integral part of the overall EMI shield: Filtered Hermetic Seal Titanium Can (EMI Shield)
  • 23. Example of Passive EMI Filter Performance Cardiac Sense Lead without EMI filter with EMI filter 100 MHz to 10 GHz 100 MHz to 10 GHz
  • 24. Noise rejection algorithm Clinical example of DNA in action: Identical noise and 5 mV R-wave in both devices Legacy Device COGNIS & TELIGEN Legacy devices could have sensed this noise as a COGNIS-TELIGEN recognizes the low level signal as noise physiologic signal and appropriately adjusts sensitivity
  • 25. – DNA uses the characteristics of a noise signal—frequency and energy—to identify a signal as noise – When noise is present, DNA keeps the AGC floor above the noise – DNA is automatically active on all three sensing channels: atrium, right ventricle and left ventricle Note the presence of electroconvulsive therapy noise on the ventricular rate sensing channel and on the shocking egram channel. In this Case Study, DNA keeps AGC sensing floor above noise. Note: DNA will not make the Boston Scientific devices immune from sensing all noise. The device could still sense EMI or other sources of high amplitude noise. Page 25
  • 26.
  • 27. Sorin Group Noise Management - Tachy • Since 1996 Sorin Group/ELA has had a ventricular noise circuit in all its ICDs • Based on the premise that human beings cannot sustain intervals in the 188-125 ms range. If intervals consistently in that range are seen they are most likely the result of EMI (noise). • After several retriggered windows Ventricular Sensitivity is decreased by 0.2 mV on each retriggered window until not retriggered. This process is done on a beat to beat basis • The circuit is turned off for 15 cycles with an interval of 400 ms to 188 ms to assure arrhythmia detection • On the 16th cycle, if there has not been an interval larger than 188 ms the noise circuit is turned on again • Atrial noise circuit similar to Brady function
  • 28. Sorin Group Noise Management - Tachy R P V P 95 30 220 30 Figures show the addition of a 30 ms noise window to the 95 ms (sensed) or the 220 ms (paced) absolute refractory
  • 29. Sorin Group Noise Management - Tachy AVD 95 ms 95 ms 95 ms 125 ms 125 ms Noise level 0.2 mV steps Sensitivity level Ventricular pacing can be inhibited (parameter “V pacing on noise”) Graphic representation of noise sensing to the point of decreasing V sensing See example on the following slide 29
  • 30. ICD Ventricular Noise Circuit Example 30 15 Cycles with noise circuit off after fast cycle 30
  • 31. Noise Reversion Modes Programmable Manufacturer Noise detection window response Additional features Boston Scientific XOO (nominal), Inhibit Non programmable ICDs 40 ms retriggerable window pacing Dynamic Noise Algorithm Programmed Non programmable Medtronic PMs atrial/ventricular refractory asynchronous pacing Medtronic ICDs Not available RV lead noise detection Inhibit (nominal), pace Reduced sensitivity by 0.2 Sorin Paradym 125-188 ms asynchronous ms q 16 ms St Jude PMs 30 Hz XOO (nomimal), off XOO 50 BPM (nomimal), St Jude ICDs 100 Hz off
  • 32. Determinants of the Clinical Consequences of EMI  Intensity of the field  Signal spectrum  Distance and position of the patient Duration of exposure Nonprogrammable device characteristics Lead configuration Programmed parameters Sensitivity Mode (baseline, noise reversion, committed) Patient characteristics Pacemaker-dependency Susceptibility to asynchronous pacing Susceptibility to rapid pacing rates
  • 33. ANSI/AAMI PC69 standards -2207  Extensive guideline for in vitro testing of pacemaker and ICDs  Typical settings, (eg cellular phone operating at 6 inches)  Different frequencies  Tests also to rule out damage to the generator from electrocautery and external defibrillation
  • 34. AAMI PC9- Testing for low-frequency EMI via injected current 6 ISO 14708-2/EN 45502-2-1 Connection of tissue equivalent interface circuit (left) and multichannel bipolar cardiac pacemaker (right).
  • 35. AAMI PC69- Testing for radiated EMI > 450 MHz
  • 36. “There are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns -- the ones we don't know we don't know." Donald Rumsfeld, US Secretary of Defense
  • 37. Cell Phone EMI • Cellular phone without amplification: 0.3 to 0.6 watts • Cell phone with 3 watt after market amplifier and 9 dB gain antenna: 23.8 watts
  • 38. Garg et al. JICE 2002;7:181
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  • 40.
  • 41. Beginning of oversensing Furrer et al. NEJM 2004;350:1689
  • 42.
  • 43. Wayar et al. PACE 2003;26:1292
  • 44. Conclusions  Full electromagnetic compatibility has not been achieved yet (and may never be)  Multiple potential sources of EMI exist in daily life, work and medical environments
  • 45. Conclusions  Improvement in sensing circuits and algorithms together with better awareness of sources of electromagnetic interference have already reduced EMI  Continous surveillance is needed as new emitting sources are introduced
  • 46. Conclusions  Sources of further minimization  Continuous improvements in device engineering  Awareness of manufacturers of emitters  Patient and public education

Notes de l'éditeur

  1. Spurious mode-switch due to atrial oversensing of EMI in a patient with a dual-chamber Guidant ICD. Stored atrial (A), near-field (NF), and far-field (FF) electrograms in a patient who presented for routine ICD follow-up. Non-physiologic, high-frequency, pulsed activity is seen in the 3 channels, although with higher amplitude in the atrial and far-field. Very little ventricular oversensing occurs, so ventricular fibrillation is not detected. However, atrial oversensing results in transient mode-switch. The patient could not recall a potential source of EMI.
  2. Signal amplitude versus frequency. This plot shows the approximate characteristics of the P and R waves that pacemakers and ICDs are intended to sense and the approximate characteristics of the electromagnetic interference (EMI, muscle potentials), T waves, and far-field R waves that they are intended not to sense. The sense amplifier's filters are designed to sense signals that are above the U-shaped amplifier threshold curve and to reject signals that are below the curve. P waves and R waves have similar frequency characteristics, but usually R waves have higher dominant frequency than P waves. Muscle potentials usually have higher-frequency components than intracardiac signals. T waves and far-field R waves have lower frequencies. As shown, there are some overlaps in these amplitude-frequency characteristics that cause oversensing or undersensing in particular situations. The ellipses representing the amplitude-frequency characteristics in this figure are conceptual and are not based on quantitative measurements.
  3. Typically each catheter is protected by1) an EMI filtering capacitor (~ 500pF) in reference to the Titanium case ;2) 2 Zener diodes mounted in opposition to limit the voltage inputs to ~ +/- 9V.