Neurological event detection procedure using processed display channel based algorithms and devices incorporating these procedures

• US 6,473,639 B1
• Filed: 03/02/2000
• Issued: 10/29/2002
• Est. Priority Date: 03/02/2000
• Status: Expired due to Term

• Current Assignee: Neuropace Inc.
• Original Assignee: Neuropace Inc.
• Inventors: Fischell, David R., Pless, Benjamin D., Harwood, Jonathan
• Primary Examiner(s): Shaver, Kevin
• Assistant Examiner(s): Natnithithadha, Navin
• Application Number:
  US09/517,797
• Time in Patent Office: 971 Days
• Field of Search: 600/544, 600/545, 600/306
• US Class Current: 600/544
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/37 Intracranial electroencephalography [IC-EEG], e.g. electrocorticography [ECoG]
• CPC Class Codes: A61B 5/372 Analysis of electroencephalograms
• CPC Class Codes: A61B 5/384 Recording apparatus or displays specially adapted therefor
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61N 1/36017 with leads or electrodes penetrating the skin
• CPC Class Codes: A61N 1/36064 Epilepsy
• CPC Class Codes: A61N 1/37235 Aspects of the external programmer

Abstract

This invention relates generally to information processing techniques used in the treatment of epilepsy and to devices for using these techniques.

Claims

1. A device for detection of neurological event activity in a patient'"'"'s brain comprising:

at least one brain electrode configured to monitor brain electrical signals and produce an output, each said brain electrode being positionable to a position relative to a patient'"'"'s brain,

at least one processed display channel processor configured to produce at least one processed display channel, said at least one processed display channel being a signal produced by signal processing by said at least one processed display channel processor, of a digital signal related to said output from said at least one brain electrode, the signal processing having one or more parameters;

a neurological event detector configured to process the at least one processed display channel with at least one detector algorithm to detect neurological event activity based upon i.) the brain electrical signals received by the at least one brain electrode, ii.) the position of each brain electrode, iii.) the parameters of the signal processing used to create the at least one processed display channel, iv.) and at least one detector algorithms having at least one detector parameter customizeable for each patient.

2. The device of claim 1 wherein said at least one brain electrode is configured to accept electrical stimulation signals for the patient'"'"'s brain.

3. The device of claim 1 further comprising conductors to carry electrical signals to and from the at least one brain electrode.

4. The device of claim 1 further comprising an amplifier configured to amplify the electrical signals from the at least one brain electrode to produce at least one amplified electrical signal.

5. The device of claim 4 further comprising an analog-to-digital converter configured to convert the at least one amplified electrical signal to produce said at least one digital signal.

6. The device of claim 1 wherein the neurological event activity is epileptiform activity.

7. The device of claim 1 further comprising a signal processor for the signal processing of said one or more of the digital signals to produce a processed display channel by low pass filtering.

8. The device of claim 1 further comprising a signal processor for the signal processing of said one or more of the digital signals to produce a processed display channel by high pass filtering.

9. The device of claim 1 further comprising a signal processor for the signal processing of said one or more of the digital signals to produce a processed display channel by bandpass filtering.

10. The device of claim 1 further comprising a signal processor for the signal processing of said one or more of the digital signals to produce a processed display channel by the summing of two or more of the digital signals each digital signal multiplied by a weighting factor.

11. The device of claim 1 further comprising a signal processor for the signal processing of one or more of the digital signals to produce a processed display channel by the subtraction of at least one of the digital signals from another.

12. The device of claim 11 wherein in said subtraction of at least one of the digital signals from another, each digital signal is multiplied by a weighting factor.

13. The device of claim 1 wherein the neurological event detector device is further configured to process the at least one processed display channel and to detect neurological event activity based upon two or more detection algorithms that may be used concurrently to identify neurological event activity from a single processed display channel.

14. The device of claim 1 wherein said device is a workstation external to the patient'"'"'s body.

15. The device of claim 1 wherein said at least one display device displays a first and a second processed display channel wherein said first processed display channel has at least one detection algorithm being chosen to detect the precursor of a seizure and said second processed display channel has at least one detection algorithm being chosen to detect ongoing in-seizure activity.

16. The device of claim 1 wherein said at least one display device displays electrical signal from the brain electrodes and the processed display channels.

17. The device of claim 1 further comprising an electrical stimulation therapy device implantable under the skin of a human body.

18. The device of claim 1 further comprising an electrical stimulation therapy device implantable under the scalp of a human body.

19. The device of claim 1 further comprising an electrical stimulation therapy device implantable into the cranium of a human body.

20. The device of claim 1 wherein the neurological event detector is configured to apply an amplitude duration detector algorithm to said at least one processed display channel for detecting an increase in signal amplitude in said at least one processed display channel for a specified time.

21. The device of claim 1 wherein the neurological event detector is configured to apply a DC shift algorithm to said at least one processed display channel for detecting a shift in the DC level of the processed display channel occurring over a specified time.

22. The device of claim 1 wherein the neurological event detector is configured to apply a zero crossing detector algorithm to said at least one processed display channel for detecting epileptiform activity when the number of zero crossings of said processed display channel is within a chosen range over a chosen length of time.

23. The device of claim 22 wherein the zero crossing detector algorithm also compares the average of the maximum and minimum amplitudes between the zero crossings with a chosen amplitude threshold.

24. The device of claim 1 wherein the neurological event detector is configured to apply a waveform detector algorithm to said at least one processed display channel for detecting when the number of half waves of a specified amplitude and minimum duration of said at least one processed display channel exceeds a preset limit over a chosen time.

25. The device of claim 24 wherein the settable parameter is the number of waves being exactly twice the number of half waves.

26. The device of claim 1 wherein the neurological event detector device is configured concurrently to apply two or more detection algorithms to different processed display channels to identify neurological event activity in each of said different processed display channels.

27. The device of claim 26 wherein the neurological event activity is epileptiform activity.

28. The device of claim 1 wherein the neurological event detector device is configured concurrently to apply two or more detection algorithms to different processed display channels to identify neurological event activity in two or more different processed display channels.

29. The device of claim 28 wherein the neurological event activity is epileptiform activity.

30. The device of claim 1 further comprising a seizure detection logic module configured to declare a valid seizure detection based on logical operations performed on the occurrence of a valid seizure detection in two or more processed display channels.

31. The device of claim 30 wherein said seizure detection logic module is configured to require that a seizure be detected in all processed display channels before declaring the seizure to be valid.

32. The device of claim 30 wherein said seizure detection logic module is configured to require that a seizure be detected in any processed display channel before declaring the seizure to be valid.

33. The device of claim 30 wherein seizure detection logic module is configured to require that a seizure be detected in a first processed display channel but not be detected in a second processed display channel before declaring the seizure to be valid.

34. The device of claim 1 wherein said detector algorithm is selected to reflect a neurological event in said patient.

35. The device of claim 1 wherein the detector algorithm is derived by detecting a neurological event in a specific human patient and forming said detector algorithm to detect that neurological event activity.

36. An implantable neuropacemaker assembly comprising:

a multiplicity of intracranially placeable leads for delivering electrocortigram signals;

at least one amplifier for amplifying the electrocortigram signals and produce amplified electrocortigram signals;

at least one analog-to-digital converter for digitizing the amplified electrocortigram signals to produce a multiplicity of digital signals;

at least one signal processor configured to produce one or more processed display channels, each processed display channel being a signal produced by the combination of one or more of the multiplicity of digital signals by signal processing with an algorithm having signal processing parameters; and

at least one epileptiform event detector device configured to process said one or more processed display channel with programmable algorithms to detect epileptiform activity.

37. The implantable neuropacemaker assembly of claim 36 wherein said signal processor for the signal processing of said one or more of the digital signals to produce a processed display channel by low pass filtering.

38. The implantable neuropacemaker assembly of claim 36 wherein said signal processor for the signal processing of said one or more of the digital signals to produce a processed display channel by high pass filtering.

39. The implantable neuropacemaker assembly of claim 36 wherein said signal processor for the signal processing of said one or more of the digital signals to produce a processed display channel by bandpass filtering.

40. The implantable neuropacemaker assembly of claim 36 wherein said signal processor for the signal processing of said one or more of the digital signals to produce a processed display channel by the summing of two or more of the digital signals.

41. The implantable neuropacemaker assembly of claim 38 wherein in said summing of at least one of the digital signals with another, each digital signal is multiplied by a weighting factor.

42. The implantable neuropacemaker assembly of claim 36 wherein said signal processor for the signal processing of one or more of the digital signals to produce a processed display channel by the subtraction of at least one of the digital signals from another.

43. The implantable neuropacemaker assembly of claim 42 wherein in said subtraction of at least one of the digital signals from another, each digital signal is multiplied by a weighting factor.

44. The implantable neuropacemaker assembly of claim 36 wherein the epileptiform event detector device is further configured to process the at least one processed display channel and to detect epileptiform event activity based upon two or more detection algorithms that may be used concurrently to identify epileptiform event activity from a single processed display channel.

45. The implantable neuropacemaker assembly of claim 36 wherein said epileptiform event detector is configured to produce a first and a second processed display channel wherein said first processed display channel has at least one detection algorithm being chosen to detect the precursor of a seizure and said second processed display channel has at least one detection algorithm being chosen to detect ongoing in-seizure activity.

46. The implantable neuropacemaker assembly of claim 36 configured for implantation under the skin of a human body.

47. The implantable neuropacemaker assembly of claim 36 configured for implantation under the scalp of a human body.

48. The implantable neuropacemaker assembly of claim 37 configured for implantation into the cranium of a human body.

49. The implantable neuropacemaker assembly of claim 36 wherein the epileptiform event detector is configured to apply an amplitude duration detector algorithm to said at least one processed display channel for detecting an increase in signal amplitude in said at least one processed display channel for a specified time.

50. The implantable neuropacemaker assembly of claim 36 wherein the epileptiform event detector is configured to apply a DC shift algorithm to said at least one processed display channel for detecting a shift in the DC level of the processed display channel occurring over a specified time.

51. The implantable neuropacemaker assembly of claim 36 wherein the epileptiform event detector is configured to apply a zero crossing detector algorithm to said at least one processed display channel for detecting epileptiform activity when the number of zero crossings of said processed display channel is within a chosen range over a chosen length of time.

52. The implantable neuropacemaker assembly of claim 51 wherein the zero crossing detector algorithm also compares the average of the maximum and minimum amplitudes between the zero crossings with a chosen amplitude threshold.

53. The implantable neuropacemaker assembly of claim 36 wherein the epileptiform event detector is configured to apply a waveform detector algorithm to said at least one processed display channel for detecting when the number of half waves of a specified amplitude and minimum duration of said at least one processed display channel exceeds a preset limit over a chosen time.

54. The implantable neuropacemaker assembly of claim 53 wherein the settable parameter is the number of waves being exactly twice the number of half waves.

55. The implantable neuropacemaker assembly of claim 36 wherein the epileptiform event detector device is configured concurrently to apply two or more detection algorithms to different processed display channels to identify epileptiform event activity in each of said different processed display channels.

56. The implantable neuropacemaker assembly of claim 36 wherein the epileptiform event detector device is configured concurrently to apply two or more detection algorithms to different processed display channels to identify epileptiform event activity in two or more different processed display channels.

57. The implantable neuropacemaker assembly of claim 36 further comprising a seizure detection logic module configured to declare a valid seizure detection based on logical operations performed on the occurrence of a valid seizure detection in two or more processed display channels.

58. The implantable neuropacemaker assembly of claim 57 wherein said seizure detection logic module is configured to require that a seizure be detected in all processed display channels before declaring the seizure to be valid.

59. The implantable neuropacemaker assembly of claim 57 wherein said seizure detection logic module is configured to require that a seizure be detected in any processed display channel before declaring the seizure to be valid.

60. The implantable neuropacemaker assembly of claim 57 wherein seizure detection logic module is configured to require that a seizure be detected in a first processed display channel but not be detected in a second processed display channel before declaring the seizure to be valid.

61. The device of claim 36 wherein the detector algorithm is derived by detecting epileptiform activity in a specific human patient and forming said programmable algorithm to detect that epileptiform activity.

62. A device for detecting an epileptiform activity from a multiplicity of digitized EEG signals comprising:

at least one processed display channel processor configured to produce at least one processed display channel by signal processing of at least one of the multiplicity of digitized EEG signals, said signal processing having one or more parameters;

at least one epileptiform activity detector having at least one detector algorithm operating on the at least one processed display channel, the epileptiform activity detector having at least one programmable detection parameter, the epileptiform activity detector being configured to detect epileptiform activity based upon i.) the at least one processed display channel signal, ii.) the parameters of the signal processing used to create the at least one processed display channel, and iii.) said at least one detector algorithm having at least one detector parameter customizable for each patient.

63. The device of claim 62 wherein the at least one processed display channel processor for the signal processing of the at least one of the multiplicity of digitized EEG signals produces a processed display channel by low pass filtering.

64. The device of claim 62 wherein the at least one processed display channel processor for the signal processing of the at least one of the multiplicity of digitized EEG signals produces a processed display channel by high pass filtering.

65. The device of claim 62 wherein the at least one processed display channel processor for the signal processing of the at least one of the multiplicity of digitized EEG signals produces a processed display channel by bandpass filtering.

66. The device of claim 62 wherein the at least one processed display channel processor for the signal processing of the at least one of the multiplicity of digitized EEG signals produces a processed display channel by summing of two or more of the digitized EEG signals.

67. The device of claim 66 wherein in said summing of the at least one of the multiplicity of digitized EEG signals with each another, each digitized EEG signal is multiplied by a weighting factor.

68. The device of claim 62 wherein the at least one processed display channel processor for the signal processing of the at least one of the multiplicity of digitized EEG signals produces a processed display channel by the subtraction of at least one of the digitized EEG signals from another.

69. The device of claim 68 wherein in said subtraction of at least one of the digitized EEG signals from another, each digitized EEG signal is multiplied by a weighting factor.

70. The device of claim 62 wherein the epileptiform activity detector is further configured to process the at least one processed display channel and to detect epileptiform activity based upon two or more detection algorithms that may be used concurrently to identify epileptiform activity from a single processed display channel.

71. The device of claim 62 wherein said epileptiform activity detector is configured to produce a first and a second processed display channel wherein said first processed display channel has at least one detection algorithm being chosen to detect the precursor of a seizure and said second processed display channel has at least one detection algorithm being chosen to detect ongoing in-seizure activity.

72. The device of claim 62 wherein said device is a workstation external to the patient'"'"'s body.

73. The device of claim 72 wherein the workstation is configured to display digitized EEG signals and processed display channels.

74. The device of claim 62 configured for implantation under the skin of a human body.

75. The device of claim 62 configured for implantation under the scalp of a human body.

76. The device of claim 62 configured for implantation into the cranium of a human body.

77. The device of claim 62 wherein the epileptiform activity detector is configured to apply an amplitude duration detector algorithm to said at least one processed display channel for detecting an increase in signal amplitude in said at least one processed display channel for a specified time.

78. The device of claim 62 wherein the epileptiform activity detector is configured to apply a DC shift algorithm to said at least one processed display channel for detecting a shift in the DC level of the processed display channel occurring over a specified time.

79. The device of claim 62 wherein the epileptiform activity detector is configured to apply a zero crossing detector algorithm to said at least one processed display channel for detecting epileptiform activity when the number of zero crossings of said processed display channel is within a chosen range over a chosen length of time.

80. The device of claim 79 wherein the zero crossing detector algorithm also compares the average of the maximum and minimum amplitudes between the zero crossings with a chosen amplitude threshold.

81. The device of claim 62 wherein the epileptiform activity detector is configured to apply a waveform detector algorithm to said at least one processed display channel for detecting when the number of half waves of a specified amplitude and minimum duration of said at least one processed display channel exceeds a preset limit over a chosen time.

82. The device of claim 81 wherein the settable parameter is the number of waves being exactly twice the number of half waves.

83. The device of claim 62 wherein the epileptiform activity detector device is configured concurrently to apply two or more detection algorithms to different processed display channels to identify epileptiform activity in each of said different processed display channels.

84. The device of claim 62 wherein the epileptiform activity detector device is configured concurrently to apply two or more detection algorithms to different processed display channels to identify epileptiform event activity in two or more different processed display channels.

85. The device of claim 62 further comprising a seizure detection logic module configured to declare a valid seizure detection based on logical operations performed on the occurrence of a valid seizure detection in two or more processed display channels.

86. The device of claim 85 wherein said seizure detection logic module is configured to require that a seizure be detected in all processed display channels before declaring the seizure to be valid.

87. The device of claim 85 wherein said seizure detection logic module is configured to require that a seizure be detected in any processed display channel before declaring the seizure to be valid.

88. The device of claim 85 wherein seizure detection logic module is configured to require that a seizure be detected in a first processed display channel but not be detected in a second processed display channel before declaring the seizure to be valid.

89. The device of claim 62 wherein said detector algorithm is selected to reflect a neurological event in said patient.

90. The device of claim 62 wherein the detector algorithm is derived by detecting epileptiform activity in a specific human patient and forming said detector algorithm to detect that epileptiform activity.

91. A device for diagnosis of, testing for, and treatment of epileptic seizures of a human patient, the device comprising:

a multiplicity of brain electrodes configured to receive neural electrical signals generated by the brain of the human patient;

conductors for carrying electrical signals to and from the multiplicity of brain electrodes;

a physician'"'"'s workstation configured to detect the presence of epileptiform activity by signal processing of at least one electrical signal received by the multiplicity of brain electrodes, the signal processing including analyzing a processed display channel using a processed display channel based seizure detector, the processed display channel based seizure detector having seizure detector parameters adjustable by a user best to detect epileptiform activity for a selected human patient;

an implantable neuropacemaker configured to detect the presence of epileptiform activity by processing of at least one electrical signal received by the multiplicity of brain electrodes into at least one processed display channel and analysis of the at least one processed display channel for epileptiform activity using seizure detector having seizure detector parameters; and

a transmitter configured to transmit to the neuropacemaker, the seizure detector parameters from the physician'"'"'s workstation that have been selected to detect the epileptiform activity for the human patient.

92. The device of claim 91 further comprising a neural stimulator controller configured to initiate electrical stimulation to one or more of said brain electrodes upon detection of epileptiform activity.

93. A device for detection of epileptiform activity from a patient'"'"'s brain comprising:

at least one brain electrode, an amplifier, a digital to analog converter, and a processed display channel processor,

wherein said at least one brain electrode is configured to electronically communicate signal information from a patient'"'"'s brain to said amplifier, said amplifier being configured to amplify said signal information and produce amplified signals,

wherein said analog to digital converter is configured to electronically receive said amplified signals from said amplifier and convert said amplified signals to digital signals,

wherein said processed display channel processor is configured to process said multiple digital signals with an algorithm according to programmable algorithm rules to produce a processed display channel signal, said programmable algorithm rules being configured to produce a processed display channel signal clearly exhibiting characteristics of epileptiform activity within the patient'"'"'s brain.

94. An implantable neuropacemaker comprising:

at least one intracranially placed lead, an amplifier, an analog to digital converter, a signal processor, and an epileptiform activity detector module,

said intracranially placed lead being configured to receive EEG signals from the brain of a patient and transmit said signals to said amplifier,

said amplifier being configured to amplify said signals and produce amplified signals,

said analog to digital converter being configured to electronically receive said amplified signals and convert said amplified signals to a multiplicity of digital signals,

said signal processor being configured to process said multiple digital signals according to programmable parameters to produce a processed display channel signal exhibiting characteristics of epileptiform activity within the patient'"'"'s brain,

said epileptiform activity detector module being configured to detect epileptiform activity based upon processing of said processed display channel signal using a detection algorithm.

95. A device for detecting an epileptiform activity from a multiplicity of digitized EEG signals comprising:

one or more brain electrodes configured to receive EEG signals from the brain of a patient;

one or more processed display channel processors to produce processed display channels, each processed display channel comprising one or more EEG signals combined using digital signal processing;

an epileptiform activity detector having detector algorithms operating on said one or more processed display channels, the epileptiform activity detector being configured to detect epileptiform activity,

wherein the position of each brain electrode, the parameters of the signal processing used to create the processed display channel, and the algorithms used by the epileptiform activity detector being customized for each patient.

96. A device for diagnosis, testing, and treatment of epileptic seizures of a human patient, the device comprising:

at least one intracranially placed lead, an amplifier, an analog to digital converter, a signal processor, and an epileptiform activity detection module,

said intracranially placed lead being configured to receive EEG signals from the brain of a patient and transmit said signals to said amplifier,

said amplifier being configured to amplify said signals and produce amplified signals,

said analog to digital converter being configured to electronically receive said amplified signals and convert said amplified signals to a multiplicity of digital signals,

said signal processor being configured to process said multiple digital signals according to programmable parameters to produce a processed display channel signal, said programmable parameters being configured to produce a processed display channel signal exhibiting characteristics of epileptiform activity within the patient'"'"'s brain,

said epileptiform activity detection module being configured to detect epileptiform activity based upon processing of said processed display channel signal;

said amplifier, analog to digital converter, signal processor, and epileptiform activity detection algorithm comprising an implantable neuropacemaker module;

said device further comprising a physician'"'"'s workstation configured to transmit said programmable parameters to said implantable neuropacemaker module using a communication device.

97. A method for diagnosing and treating neurological disorders in a human patient comprising the steps of:

signal processing digital signals related to a patient'"'"'s EEG signals by combining said patient'"'"'s EEG signals according to programmable parameters to produce processed display channel signals, the programmable parameters being selected to produce a processed display channel signal exhibiting characteristics of epileptiform activity within the patient'"'"'s brain; and

analyzing said processed display channel signal with an epileptiform activity detection algorithm configured to detect epileptiform activity based upon processing of said processed display channel signal.

98. The process of claim 97 additionally comprising the steps of:

implanting at least one intracranially placed lead to a configuration wherein said lead receives EEG signals from the brain of the patient and transmits said signals to an amplifier; and

amplifying said signals and transmitting them to an analog to digital converter to convert said signals into a multiplicity of said digital signals.

99. The process of claim 97 wherein said signal processing step comprises low pass filtering.

100. The process of claim 97 wherein said signal processing step comprises high pass filtering.

101. The process of claim 97 wherein said signal processing step comprises bandpass filtering.

102. The process of claim 97 wherein said signal processing step comprises summing of two or more of the digital signals.

103. The process of claim 102 wherein said signal in said summing of two or more of the digital signals, each digital signal is multiplied by a weighting factor.

104. The process of claim 97 wherein said signal processing step comprises subtraction of at least one of the digital signals from another.

105. The process of claim 97 wherein said signal processing step comprises subtraction of at least one of the digital signals from another, each digital signal is multiplied by a weighting factor.

106. The process of claim 97 wherein said analysis step comprises detecting neurological event activity based upon two or more detection algorithms used concurrently to identify neurological event activity from a single processed display channel.

107. The process of claim 97 further comprising displaying on a display device a first and a second processed display channel wherein said first processed display channel has an associated detection algorithm being chosen to detect the precursor of a seizure and said second processed display channel has an associated detection algorithm being chosen to detect ongoing in-seizure activity.

108. The process of claim 107 further comprising displaying on a display device electrical signals from the brain electrodes and the processed display channels.

109. The process of claim 97 wherein said analyzing step comprises applying an amplitude duration detector algorithm to said at least one processed display channel for detecting an increase in signal amplitude in said at least one processed display channel for a specified time.

110. The process of claim 97 wherein said analyzing step comprises applying a DC shift algorithm to said at least one processed display channel for detecting a shift in the DC level of the processed display channel occurring over a specified time.

111. The process of claim 97 wherein said analyzing step comprises applying a zero crossing detector algorithm to said at least one processed display channel for detecting epileptiform activity when the number of zero crossings of said processed display channel is within a chosen range over a chosen length of time.

112. The process of claim 111 wherein said zero crossing detector algorithm also compares the average of the maximum and minimum amplitudes between the zero crossings with a chosen amplitude threshold.

113. The process of claim 97 wherein said analyzing step comprises applying a waveform detector algorithm to said at least one processed display channel for detecting when the number of half waves of a specified amplitude and minimum duration of said at least one processed display channel exceeds a preset limit over a chosen time.

114. The process of claim 97 wherein said analyzing step comprises concurrently applying two or more detection algorithms to different processed display channels to identify neurological event activity in each of said different processed display channels.

115. The process of claim 97 wherein said analyzing step comprises concurrently applying two or more detection algorithms to different processed display channels to identify neurological event activity in two or more different processed display channels.

116. The process of claim 97 wherein said analyzing step further comprises declaring a valid seizure detection based on logical operations performed on the occurrence of a valid seizure detection in two or more processed display channels.

117. The process of claim 97 wherein said analyzing step further comprises declaring a valid seizure detection based on logical operations performed on the occurrence of a valid seizure detection in all processed display channels.

118. The process of claim 97 wherein said analyzing step further comprises declaring a valid seizure detection based on logical operations performed on the occurrence of a valid seizure detection in any processed display channels.

119. The process of claim 97 wherein said analyzing step further comprises declaring a valid seizure detection based on the occurrence of a valid seizure detection in a first processed display channel but not detected in a second processed display channel.