System and method for detecting slow waves

Patent metadata

Field	Value
Publication number	US-10682092-B2
Application number	US-201515514919-A
Country	US
Kind code	B2
Filing date	Sep 21, 2015
Priority date	Sep 30, 2014
Publication date	Jun 16, 2020
Grant date	Jun 16, 2020

Abstract

The present disclosure pertains to a system configured to detect slow waves in a subject during a sleep session. The system generates output signals conveying information related to brain activity of the subject. The system is configured to detect individual sleep stages of the subject, the individual sleep stages including a deep sleep stage; and, responsive to detecting the deep sleep stage, generate a harmonic representation of the output signals for a period of time during the sleep session that includes the deep sleep stage; identify two or more points of significance on the harmonic representation of the output signals; and analyze a shape of the harmonic representation of the output signals around the two or more points of significance to determine whether the shape of the harmonic representation of the output signals around the two or more points of significance corresponds to a shape of a slow wave.

First claim

What is claimed is:

1. A system configured to detect slow waves in a subject during a sleep session, the system comprising:
a sensory stimulator configured to provide sensory stimulation to the subject to enhance sleep of the subject during the sleep session;
one or more sensors configured to generate output signals conveying information related to brain activity of the subject; and
one or more physical computer processors configured by computer-readable instructions to:
detect individual sleep stages of the subject during the sleep session based on the output signals, the individual sleep stages including a deep sleep stage; and
responsive to detecting the deep sleep stage:
generate a harmonic representation of the output signals for a period of time during the sleep session that includes the deep sleep stage;
identify points of significance on the harmonic representation of the output signals, wherein the harmonic representation of the output signals is a harmonic representation of voltage, and wherein the points of significance include a first point of significance at a first negative crossing of a first voltage, a second point of significance at a local minimum of the voltage after the first negative crossing, a third point of significance at a first positive crossing of a second voltage after the local minimum, and a fourth point of significance at a first positive crossing of the voltage at 0V after the local minimum, wherein the first voltage is between about −20 μV and about −60 μV and the second voltage is between about −20 μV and about −60 μV;
analyze a shape of the harmonic representation of the output signals around the points of significance to determine whether the shape of the harmonic representation of the output signals around the points of significance corresponds to a shape of a slow wave; and
responsive to determining the shape of the harmonic representation of the output signals around the points of significance corresponds to the shape of the slow wave, control the sensory stimulator to provide the sensory stimulation to the subject.

2. The system of claim 1 , wherein the one or more physical computer processors are configured such that:
the first point of significance is at the first negative crossing of the voltage at −40 μV, and the third point of significance is at the first positive crossing of the voltage at −40 μV after the local minimum;
wherein analyzing the shape of the harmonic representation of the voltage includes:
determining angular deflections of the voltage at the points of significance, the angular deflections including a first angular deflection of the voltage from the fourth point of significance to the first point of significance, a second angular deflection of the voltage from the fourth point of significance to the second point of significance, and a third angular deflection of the voltage from the fourth point of significance to the third point of significance;
determining amounts of time between the points of significance, the amounts of time including a first amount of time between the fourth point of significance and the first point of significance, a second amount of time between the fourth point of significance and the second point of significance, and a third amount of time between the fourth point of significance and the third point of significance;
determining frequencies of sine waves that pass through the points of significance within a single period of a given sine wave based on the angular deflections and the amounts of time, the frequencies including a first frequency of a first sine wave that passes through the first point of significance and the fourth point of significance in a single period of the first sine wave determined based on the first angular deflection and the first amount of time, a second frequency of a second sine wave that passes through the second point of significance and the fourth point of significance in a single period of the second sine wave determined based on the second angular deflection and the second amount of time, and a third frequency of a third sine wave that passes through the third point of significance and the fourth point of significance in a single period of the third sine wave determined based on the third angular deflection and the third amount of time;
determining an average frequency based on the frequencies of the sine waves that pass through the points of significance;
comparing the average frequency to a slow wave frequency range; and
responsive to the average frequency being within the slow wave frequency range, detecting the slow wave.

3. The system of claim 1 , wherein the one or more sensors are configured such that the output signals are associated with a frontal electroencephalogram (EEG).

4. The system of claim 3 , wherein, the one or more physical computer processors are configured such that:
analyzing the shape of the harmonic representation of voltage includes comparing a deep sleep segment of the electroencephalogram to a reference waveform.

5. The system of claim 1 , wherein the one or more physical computer processors are configured such that analyzing the shape of the harmonic representation of the output signals includes determining individual slopes of sections of the harmonic representation of the output signals around the points of significance.

6. A method for detecting slow waves in a subject during a sleep session with a detection system, the system comprising one or more sensors and one or more physical computer processors, the method comprising:
generating, with the one or more sensors, output signals conveying information related to brain activity of the subject;
detecting, with the one or more physical computer processors, individual sleep stages of the subject during the sleep session based on the output signals, the individual sleep stages including a deep sleep stage; and
responsive to detecting the deep sleep stage:
generating, with the one or more physical computer processors, a harmonic representation of the output signals for a period of time during the sleep session that includes the deep sleep stage;
identifying, with the one or more physical computer processors, points of significance on the harmonic representation of the output signals, wherein the harmonic representation of the output signals is a harmonic representation of voltage, and wherein the points of significance include a first point of significance at a first negative crossing of a first voltage, a second point of significance at a local minimum of the voltage after the first negative crossing, a third point of significance at a first positive crossing of a second voltage after the local minimum, and a fourth point of significance at a first positive crossing of the voltage at 0V after the local minimum;
analyzing, with the one or more physical computer processors, a shape of the harmonic representation of the output signals around the points of significance to determine whether the shape of the harmonic representation of the output signals around the points of significance corresponds to a shape of a slow wave; and
responsive to determining the shape of the harmonic representation of the output signals around the points of significance corresponds to the shape of the slow wave, controlling a sensory stimulator to provide sensory stimulation to the subject.

7. The method of claim 6 , wherein the one or more physical computer processors are configured such that:
the first point of significance is at the first negative crossing of the voltage at −40 μV, and the third point of significance is at the first positive crossing of the voltage at −40 μV after the local minimum;
wherein analyzing the shape of the harmonic representation of the voltage includes:
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Assignees

• Koninklijke Philips Nv

Inventors

• Mahadevan Anandi
• Truschel William Anthony
• Salazar Jesse

Classifications

• A61B5/374

  Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves · CPC title

• A61B5/316

  Modalities, i.e. specific diagnostic methods · CPC title

• A61B5/7235 Primary

  Details of waveform analysis (detecting specific parameters of the electrocardiograph cycle A61B5/349) · CPC title

• A61M2230/10

  Electroencephalographic signals · CPC title

• A61M21/02

  for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia (for massage A61H; electrotherapy A61N, e.g. applying alternating or intermittent electric currents for producing anaesthesia A61N1/36021) · CPC title