Cardiac analyzer with REM sleep detection
First Claim
1. A cardiac analyzer comprising:
- data collection means for collecting physiological data from an individual, said data collection means having a data channel set of data channels for transmitting a first data set of said physiological data, said first data set including a first ECG data subset and a sleep state data subset from which a REM sleep state can be detected;
recording means for recording at least some of said first data set; and
a computer coupled to said data collection means and to said recording means, said computer having a state detector means to analyze said first data set for indications of said REM sleep state so that said computer causes said recording means to begin recording said first ECG data subset during said REM sleep state.
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Accused Products
Abstract
A compact, cardiac analyzer system provides for monitoring physiological indicators of rapid eye movement (REM) sleep, autonomic fluctuations and ischemia. When any of these "indicators" is detected, a full complement of ECG data is recorded from a subject for subsequent analysis. In the absence of these indicators, only a minimal complement of ECG data is recorded. The system includes a first set of ECG electrode sets, from which the data are recorded only during REM sleep, extreme autonomic drive fluctuations, or ischemia, and a second set of ECG electrode sets, from which the data are constantly recorded. A set of electromagnetic interference sensors is used to assess environmental noise levels so that corrupted data can be rejected or purified. During REM sleep, autonomic drive fluctuations provide a setting for assessing the variability of fractionated potentials in subjects susceptible to sudden cardiac death. In addition, the muscle atonia characterizing REM sleep provides exceedingly low muscle tremor noise levels. Accordingly, cardiac activity is most thoroughly monitored when fluctuating fractionated potentials are most likely to occur and when tremor noise levels are most favorable for their detection. Data recording is minimized in the absence of the indicators, allowing for up to a 5:1 data reduction during a typical sleep cycle.
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Citations
17 Claims
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1. A cardiac analyzer comprising:
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data collection means for collecting physiological data from an individual, said data collection means having a data channel set of data channels for transmitting a first data set of said physiological data, said first data set including a first ECG data subset and a sleep state data subset from which a REM sleep state can be detected; recording means for recording at least some of said first data set; and a computer coupled to said data collection means and to said recording means, said computer having a state detector means to analyze said first data set for indications of said REM sleep state so that said computer causes said recording means to begin recording said first ECG data subset during said REM sleep state. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A cardiac analyzer comprising:
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data collection means for collecting physiological data from an individual, said data collection means having at least a first data channel for transmitting a first data set of said physiological data, said first data set including a first ECG data subset and an autonomic drive signal data subset from which autonomic drive fluctuation can be calculated; recording means for recording at least some of said first data set; and a computer coupled to said data collection means and to said recording means, said computer having a state detector means to analyze said first data set for indications of the autonomic drive fluctuation so that said computer causes said recording means to begin recording said first ECG data subset in response to said indications of the autonomic drive fluctuation.
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11. A cardiac analyzer comprising:
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data collection means for collecting physiological data from an individual, said data collection means having at least a first data channel for transmitting a first data set of said physiological data, said first data set including a first ECG data subset and an ST waveform data subset from which indications of ischemia can be detected; recording means for recording at least some of said first data set; and a computer coupled to said data collection means and to said recording means, said computer having state detector means to analyze said first data set for said indication of ischemia so that said computer causes said recording means to begin recording said first ECG data subset during said indications of ischemia.
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12. A method of recognizing a REM sleep state and collecting data characterizing cardiac electrical stability in an individual, said method comprising the steps of:
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attaching primary ECG electrode sets to an individual; collecting primary ECG signal data through said primary ECG electrode sets; monitoring said primary ECG signal data to determine periods during which a REM sleep state of said individual can be detected; and initiating recording of said primary signal data when said REM sleep state is detected. - View Dependent Claims (13, 14)
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15. A method of recognizing autonomic drive fluctuations via heartrate analysis and collecting data characterizing cardiac electrical stability in an individual, said method comprising the steps of:
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attaching primary ECG electrode sets to an individual; collecting primary ECG signal data through said primary ECG electrode sets; monitoring said primary ECG signal data to determine periods during which autonomic drive fluctuations of said individual can be detected via heartrate analysis; and initiating recording of said primary signal data when said autonomic drive fluctuations are detected.
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16. A method of recognizing periods of ischemia via ST analysis and collecting data characterizing cardiac electrical stability in an individual, said method comprising the steps of:
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attaching primary ECG electrode sets to an individual; collecting primary ECG signal data having ST waveform data through said primary ECG electrode sets; monitoring said primary ECG signal data to determine periods during which ischmeia in said individual is detected via ST analysis; and initiating recording of said primary signal data when said ischemia is detected in ST waveform data.
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17. A method of characterizing baroreflex sensitivity in an individual as a function of spontaneous fluctuations in blood pressure and heart rate, said method comprising the steps of:
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attaching primary ECG electrode sets to an individual; attaching a non-invasive blood pressure sensor to an individual; collecting primary ECG signal data through said primary ECG electrode sets; monitoring said primary ECG signal data and said blood pressure data to determine periods during which heart rate or blood pressure fluctuations occur in said individual; and initiating recording of said primary ECG signal data and said blood pressure data when said fluctuations occur.
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Specification