Automated polysomnographic assessment for rapid eye movement sleep behavior disorder
First Claim
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1. A method for diagnosing and assessing rapid eye movement sleep behavior disorder (RBD) in a patient, comprising:
- measuring at least one physiological signal of the patient during at least one rapid eye movement (REM) sleep time interval and at least one non-rapid eye movement (NREM) sleep time interval;
determining a REM variance for the physiological signal within the at least one REM sleep time interval and an NREM variance for the physiological signal within the at least one NREM sleep time interval;
establishing a threshold based on the NREM variance; and
calculating a percentage of REM sleep time intervals with variance above the threshold, where the steps of determining, establishing and calculating are executed by a computer processor.
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Abstract
Methods and systems for diagnosing or assessing rapid eye movement sleep behavior disorder (RBD). Muscle tone or activity variance during rapid eye movement (REM) and non-rapid eye movement (NREM) sleep intervals of a polysomnogram are compared. A threshold based on the NREM data is used to identify a subject-specific threshold for abnormality in the REM variance. A metric that includes the percentage of REM variance exceeding the threshold relates to RBD.
62 Citations
24 Claims
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1. A method for diagnosing and assessing rapid eye movement sleep behavior disorder (RBD) in a patient, comprising:
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measuring at least one physiological signal of the patient during at least one rapid eye movement (REM) sleep time interval and at least one non-rapid eye movement (NREM) sleep time interval; determining a REM variance for the physiological signal within the at least one REM sleep time interval and an NREM variance for the physiological signal within the at least one NREM sleep time interval; establishing a threshold based on the NREM variance; and calculating a percentage of REM sleep time intervals with variance above the threshold, where the steps of determining, establishing and calculating are executed by a computer processor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. An automated method for diagnosing and assessing rapid eye movement sleep behavior disorder (RBD) in a patient, comprising:
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measuring a physiological signal of the patient during multiple sleep intervals; identifying portions of the physiological signal which occurred during non-rapid eye movement (NREM) sleep and rapid eye movement (REM) sleep; and establishing a threshold for the REM portions of the signal using the NREM portions of the signal, where the establishing step is executed by a computer processor. - View Dependent Claims (18, 19)
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20. An automated method for diagnosing and assessing rapid eye movement sleep behavior disorder (RBD) in a patient, comprising:
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capturing a electromyogram (EMG) signal while the patient is sleeping; partitioning the EMG signal into predefined time intervals; computing a variance for the EMG signal in each time interval using a computer processor, where the variance is a measure from a mean value of the EMG signal; and computing an indicator of RBD based on the variance measures from the EMG signal using a computer processor. - View Dependent Claims (21)
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22. An automated method for diagnosing and assessing rapid eye movement sleep behavior disorder (RBD) in a patient, comprising:
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recording an electromyogram (EMG) signal while the patient is sleeping; partitioning the EMG signal into predefined time increments and calculating a variance measure for each time increment; identifying portions of the EMG signal which occurred during non-rapid eye movement (NREM) and rapid eye movement (REM) sleep; establishing an abnormality threshold for the EMG signal during REM sleep based on variance measures observed during a non-REM portion of the EMG signal; and computing a percentage of when the REM portions of the EMG signal exceeds the abnormality threshold using a computer processor. - View Dependent Claims (23, 24)
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Specification