Sleep staging based on cardio-respiratory signals
First Claim
Patent Images
1. A method for diagnosis of a sleep-related condition of a patient having a thorax, the method comprising:
- receiving physiological signals from sensors coupled to the thorax of the patient; and
analyzing the physiological signals, independently of any electroencephalogram (EEG) or electro-oculogram (EOG) signals, in order to identify sleep stages of the patient, wherein analyzing the physiological signals comprises;
performing an adaptive segmentation of at least one of the signals so as to identify time segments in which a characteristic of the at least one of the signals is quasi-stationary; and
based on the adaptive segmentation, identifying transient events during which the characteristic of the at least one of the signals is not quasi-stationary.
2 Assignments
0 Petitions
Accused Products
Abstract
A method for diagnosis of a sleep-related condition of a patient having a thorax. The method includes receiving physiological signals from sensors coupled to the thorax of the patient, and analyzing the physiological signals, independently of any electroencephalogram (EEG) or electro-oculogram (EOG) signals, in order to identify sleep stages of the patient.
66 Citations
46 Claims
-
1. A method for diagnosis of a sleep-related condition of a patient having a thorax, the method comprising:
-
receiving physiological signals from sensors coupled to the thorax of the patient; and analyzing the physiological signals, independently of any electroencephalogram (EEG) or electro-oculogram (EOG) signals, in order to identify sleep stages of the patient, wherein analyzing the physiological signals comprises; performing an adaptive segmentation of at least one of the signals so as to identify time segments in which a characteristic of the at least one of the signals is quasi-stationary; and based on the adaptive segmentation, identifying transient events during which the characteristic of the at least one of the signals is not quasi-stationary. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
-
-
22. Apparatus for diagnosis of a sleep-related condition of a patient having a thorax, the apparatus comprising:
-
one or more sensors, adapted to be coupled to the thorax of the patient, which are adapted to receive physiological signals; and a diagnostic processor, which is coupled to receive and process the physiological signals, independently of any electroencephalogram (EEG) or electrooculogram CEOG) signals, in order to identify sleep stages of the patient, wherein the diagnostic processor is adapted to perform an adaptive segmentation of at least one of the signals so as to identify time segments in which a characteristic of the at least one of the signals is quasi-stationary, and based on the adaptive segmentation, to identify transient events during which the characteristic of the at least one of the signals is not quasi-stationary. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42)
-
-
43. A computer software product for diagnosis of a sleep-related condition of a patient having a thorax, the product comprising a computer-readable medium, in which program instructions are stored, which instructions, when read by a computer, cause the computer to receive physiological signals from one or more sensors coupled to the thorax of the patient during sleep, and to process the physiological signals, independently of any electroencephalogram (EEG) or electro-oculogram (EOG) signals, in order to identify sleep stages of the patient,
wherein the instructions cause the computer to perform an adaptive segmentation of at least one of the signals so as to identify time segments in which a characteristic of the at least one of the signals is quasi-stationary, and based on the adaptive segmentation, to identify transient events during which the characteristic of the at least one of the signals is not quasi-stationary.
-
44. A computer software product for diagnosis of a sleep-related condition of a patient having a thorax, the product comprising a computer-readable medium, in which program instructions are stored, which instructions, when read by a computer, cause the computer to receive physiological signals from one or more sensors coupled to the thorax of the patient during sleep, and to process the physiological signals, independently of any electroencephalogram (EEG) or electrooculogram (EOG) signals, in order to identify sleep stages of the patient by performing an adaptive segmentation of at least one of the signals so as to identify time segments in which a characteristic of the at least one of the signals is quasi-stationary, and based on the adaptive segmentation, identifying transient events during which the characteristic of the at least one of the signals is not quasi-stationary.
-
45. A method for diagnosis of a sleep-related condition of a patient having a thorax, the method comprising:
-
receiving physiological signals from sensors coupled to the thorax of the patient; and analyzing the physiological signals, independently of any electroencephalogram (EEG) or electro-oculogram (EOG) signals, in order to identify sleep stages of the patient, wherein analyzing the physiological signals comprises detecting motion of the patient, other than respiratory motion, based on at least one of the physiological signals, and wherein detecting the motion comprises; measuring an energy of the at least one of the physiological signals in a selected frequency band as a function of time; finding a respective characteristic of the energy in each of a plurality of time segments; and determining the patient to have moved during one or more of the time segments responsively to the respective characteristic, and wherein finding the respective characteristic comprises performing an adaptive segmentation in order to identify the time segments such that the energy of the at least one of the signals is quasi-stationary during each of the time segments.
-
-
46. Apparatus for diagnosis of a sleep-related condition of a patient having a thorax, the apparatus comprising:
-
one or more sensors, adapted to be coupled to the thorax of the patient, which are adapted to receive physiological signals; and a diagnostic processor, which is coupled to receive and process the physiological signals, independently of any electroencephalogram (EEG) or electro-oculogram (EOG) signals, in order to identify sleep stages of the patient wherein the diagnostic processor is adapted to detect motion of the patient, other than respiratory motion, based on at least one of the physiological signals, and wherein the diagnostic processor is adapted to measure an energy of the at least one of the physiological signals in a selected frequency band as a function of time, to find a respective characteristic of the energy in each of a plurality of time segments, and to determine the patient to have moved during one or more of the time segments responsively to the respective characteristic, and wherein the diagnostic processor is operative to perform an adaptive segmentation in order to identify the time segments such that the energy of the at least one of the signals is quasi-stationary during each of the time segments.
-
Specification