초록 ▼

Values of a non-polysomnographic (non-PSG) physiological parameter set may be correlated to polysomnographically (PSG) determined sleep states. The correlated values of the non-PSG parameter set and sleep states may be analyzed, and a relationship between the values and sleep states may be determine

Values of a non-polysomnographic (non-PSG) physiological parameter set may be correlated to polysomnographically (PSG) determined sleep states. The correlated values of the non-PSG parameter set and sleep states may be analyzed, and a relationship between the values and sleep states may be determined. The relationship may allow determination of sleep states for any given patient based on values of the non-PSG physiological parameter set for the patient. The non-PSG physiological parameter set does not include physiological parameters typically required for PSG, such as brain electrical activity (EEG), eye movement (EOG), and jaw or neck muscular activity or tone (EMG). Medical devices, such as implantable medical devices (IMDs) that would generally be unable to monitor such physiological parameters, may apply the relationship to values of the non-PSG physiological parameter set for a patient to identify sleep states of the patient.

대표청구항 ▼

The invention claimed is: 1. A method comprising:identifying sleep states of a subject during a period of time based on polysomnography;recording values of a non-polysomnographic physiological parameter set of the subject during the period of time;subsequent to identifying the sleep states and recor

The invention claimed is: 1. A method comprising:identifying sleep states of a subject during a period of time based on polysomnography;recording values of a non-polysomnographic physiological parameter set of the subject during the period of time;subsequent to identifying the sleep states and recording the values of the non-polysomnographic physiological parameter set, correlating the recorded values of the non-polysomnographic physiological parameter set to the identified sleep states using a computing device;subsequent to correlating the recorded values to the identified sleep states, analyzing the correlated values of the non-polysomnographic physiological parameter set using the computing device;subsequent to analyzing the correlated values, calculating a relationship between values of the non-polysomnographic physiological parameter set and sleep states based on the analysis using the computing device; andsubsequent to calculating the relationship, storing the relationship between values of the non-polysomnographic physiological parameter set and sleep states in a medical device, wherein the medical device is configured to apply the relationship to a non-polysomnographic physiological parameter to identify sleep states based on the relationship.