# US 10,945,659 B1 · Dual sleep monitor

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- Number: US 10,945,659 B1
- Document ID: US10945659B1
- Status: Granted
- Kind: B1
- Application number: 15/351,386
- Filed: 2016-11-14
- Granted: 2021-03-16
- Earliest claimed: 2015-03-16
- Assignees: DP Technologies, Inc.
- Applicants: Philippe Richard Kahn; Arthur Kinsolving; Mark Andrew Christensen; Venkat Easwar
- Inventors: Philippe Richard Kahn; Arthur Kinsolving; Mark Andrew Christensen; Venkat Easwar
- Web page: https://patentgrep.com/patent/US10945659B1

## CPC

- A61B 5/4815: {Sleep quality}
- A61B 5/0022: {Monitoring a patient using a global network, e.g. telephone networks, internet}
- A61B 5/0205: Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B 5/1102: {Ballistocardiography}
- A61B 5/4809: {Sleep detection, i.e. determining whether a subject is asleep or not}
- A61B 5/4812: {Detecting sleep stages or cycles}
- A61B 5/6892: {Mats}
- A61B 5/7275: {Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor}
- A61B 5/7278: {Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals}
- A61M 21/02: 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)
- A61B 5/024: Measuring pulse rate or heart rate
- A61B 5/08: Measuring devices for evaluating the respiratory organs
- A61B 5/0816: {Measuring devices for examining respiratory frequency (measuring frequency of electric signals G01R23/00)}
- A61B 5/7221: {Determining signal validity, reliability or quality (preventing, reducing or removing noise induced by motion artefacts A61B5/7207; noise originating from a therapeutic or surgical apparatus A61B5/7217)}
- A61B 5/7267: {involving training the classification device}
- A61B 5/746: {Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms}
- A61B 2560/0223: of calibration, e.g. protocols for calibrating sensors
- A61B 2560/0242: adapted to measure environmental factors, e.g. temperature, pollution
- A61B 2560/0252: using ambient temperature
- A61B 2560/0261: using hydrostatic pressure
- A61M 2021/0027: {by the hearing sense}
- A61M 2021/0044: {by the sight sense}
- A61M 2205/0294: Piezoelectric materials
- A61M 2205/18: with alarm
- A61M 2205/3303: Using a biosensor
- A61M 2205/3368: Temperature
- A61M 2205/3553: remote, e.g. between patient's home and doctor's office
- A61M 2205/50: with microprocessors or computers
- A61M 2230/06: Heartbeat rate only
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- A61M: DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY (introducing media into or onto the bodies of animals A61D7/00; means for inserting tampons A61F13/26; devices for administering food or medicines orally A61J; containers for collecting, storing or administering blood or medical fluids A61J1/05); DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY (surgery A61B; chemical aspects of surgical articles A61L); DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR {(Electrotherapy, e.g. producing anaesthesia by the use of alternating or intermittent currents A61N1/36021)}

## Abstract

A method and apparatus to receive data from a dual sleep sensor associated with a sleep surface, and analyzing the data to identify sleep phases of one or more users on the sleep surface. In one embodiment, the dual sleep sensor comprises two or more sensors positioned to enable separation of motion data of a first sleeper and a second sleeper.

## Claims

### Claim 1

A method comprising:
collecting data by a first sleep sensor and a second sleep sensor placed on either side of a sleep surface;
comparing by a sleep tracker processor the data from the first sleep sensor and the data from the second sleep sensor, to determine whether there is one sleeper or two sleepers on the sleep surface;
when the sleep tracker processor determines that there is the one sleeper on the sleep surface:
identifying the data collected by the first sleep sensor as associated with the one sleeper;
adding the data collected by the second sleep sensor to the data from the first sleep sensor, to produce enhanced data for the one sleeper;
analyzing the enhanced data to identify the one sleeper's sleep phase;
when the sleep tracker processor determines that there is a first sleeper and a second sleeper on the sleep surface:
identifying a first portion of the data collected by the first sleep sensor as data associated with the first sleeper; and
removing the data associated with the first sleeper from the data collected by the second sleep sensor, to identify a second portion of the data, the second portion of the data associated with the second sleeper; and
using the first portion of the data to identify the sleep phase of the first sleeper; and
using a second portion of the data to identify the sleep phase of the second sleeper.

### Claim 2 (depends on 1)

The method of claim 1, where the first sleep sensor comprises a piezoelectric sensor in a sensor case.

### Claim 3 (depends on 1)

The method of claim 1, further comprising:
separating out a first sub-portion of the data associated with a heart beat of the first sleeper,
separating out a second sub-portion of the data associated with a breathing of the first sleeper, and
utilizing the first sub-portion, the second sub-portion, and a third sub-portion of the data associated with the movement of the sleeper, to identify the sleep phase of the first sleeper.

### Claim 4 (depends on 1)

The method of claim 1, further comprising:
providing sleep data to the first sleeper on a user mobile device.

### Claim 5 (depends on 1)

The method of claim 1, further comprising:
enabling control of Internet of Things (IoT) elements in an environment of the sleep surface, to optimize sleep quality of the first sleeper.

### Claim 6 (depends on 5)

The method of claim 5, wherein the IoT elements are controlled based on a combination of the sleep phase of the first sleeper and a second sleeper.

### Claim 7 (depends on 1)

The method of claim 1, further comprising:
receiving environmental data from a base station; and
utilizing the environmental data in conjunction with the first portion of the data to determine the first sleeper's sleep phase.

### Claim 8 (depends on 7)

The method of claim 7, wherein the base station is used to adjust an environment to improve sleep quality of the first sleeper.

### Claim 9

A sleep tracking system comprising:
a first in-bed sensor for positioning on a first side of a sleep surface;
a second in-bed sensor for positioning on a second side of the sleep surface; and
a sleep tracker processor comprising software to:
determine a number of sleepers on the sleep surface, wherein the number of sleepers is one or more, based on data from the first in-bed sensor and the second in-bed sensor;
when the sleep tracker processor identifies a first sleeper and a second sleeper on the sleep surface:
identify a first portion of the data collected by the first in-bed sensor associated with a first sleeper;
identify a second portion of the data collected by the second in-bed sensor associated with the second sleeper, and
remove the data associated with the first sleeper from the data collected by the second in-bed sensor, to identify a sub-portion of the second portion of the data associated with the second sleeper; and
when the sleep tracker processor determines that the second sleeper is not on the sleep surface, adding the data from the second in-bed sensor to the data from the first in-bed sensor, to create an enhanced data set for the first sleeper.

### Claim 10 (depends on 9)

The sleep tracking system of claim 9, further comprising:
the sleep tracker processor further comprising software to identify a third portion of the data collected by a second in-bed sensor associated with a first sleeper, and removing data associated with the second sleeper from the data collected by the second in-bed sensor, adding the third portion of the data from the second in-bed sensor to the data from the first in-bed sensor, to create an enhanced data set for the first sleeper.

### Claim 11 (depends on 9)

The sleep tracking system of claim 9, where the first in-bed sensor comprises a piezoelectric sensor in a sensor case.

### Claim 12 (depends on 9)

The sleep tracking system of claim 9, wherein the sleep tracker processor further comprises software to:
perform a ballistocardiograph analysis to separate out a first sub-portion of the data from the first in-bed sensor and the second in-bed sensor associated with a heart beat of the first sleeper, and
separate out a second sub-portion of the data from the first in-bed sensor and the second in-bed sensor associated with a breathing of the first sleeper.

### Claim 13 (depends on 9)

The sleep tracking system of claim 9, further comprising:
a server system to provide sleep data to the first sleeper on a user mobile device.

### Claim 14 (depends on 9)

The sleep tracking system of claim 9, further comprising:
an IoT controller to enable control of Internet of Things (IoT) elements in an environment of the sleep surface, to optimize sleep quality.

### Claim 15 (depends on 9)

The sleep tracking system of claim 9, further comprising:
a base station including one or more sensors to collect environmental data; and
the sleep tracker processor utilizing the environmental data in conjunction with the first portion of the data to determine the first sleeper's sleep phase.

### Claim 16 (depends on 15)

The sleep tracking system of claim 15, wherein the base station is used to adjust an environment to improve sleep quality of the first sleeper.

### Claim 17

A sleep tracking system comprising:
a first in-bed sensor for positioning at head height for a first sleeper on a first side of a sleep surface;
a second in-bed sensor for positioning at head height for a second sleeper on a second side of the sleep surface; and
a sleep tracker comprising software:
to determine whether there is a second sleeper on the sleep surface; and
when it is determined that there is a second sleeper on the sleep surface:
identifying a first portion of the data associated with the first sleeper and a second portion of the data associated with the second sleeper, based on data from the first in-bed sensor and the second in-bed sensor, and
analyzing the first portion and the second portion of the data to identify a sleep phase for the first sleeper and the second sleeper;
when the sleep tracker determines that the second sleeper is not on the sleep surface, adding data from the second in-bed sensor to the data from the first in-bed sensor, thereby enhancing the data for the first sleeper from the first sensor with the data collected by the second sensor.

### Claim 18 (depends on 1)

The method of claim 1, further comprising:
identifying when a second sleeper gets on the bed, while the system is monitoring the first sleeper, and switching the sleep tracker processor to utilize multi-user adjustment.

### Claim 19 (depends on 1)

The method of claim 1, further comprising:
receiving predicted sleep phase data from a server;
verifying the predicted sleep phase data with the identified sleep phase of the sleepers on the sleep surface.