WO2016182795A1 - Système d'alarme par vibration et procédés de fonctionnement - Google Patents

Système d'alarme par vibration et procédés de fonctionnement Download PDF

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Publication number
WO2016182795A1
WO2016182795A1 PCT/US2016/030594 US2016030594W WO2016182795A1 WO 2016182795 A1 WO2016182795 A1 WO 2016182795A1 US 2016030594 W US2016030594 W US 2016030594W WO 2016182795 A1 WO2016182795 A1 WO 2016182795A1
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WO
WIPO (PCT)
Prior art keywords
user
sleep phase
vibrating alarm
strip
biological
Prior art date
Application number
PCT/US2016/030594
Other languages
English (en)
Inventor
Matteo Franceschetti
Massimo Andreasi Bassi
Original Assignee
Eight Sleep Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US14/732,646 external-priority patent/US20150351556A1/en
Application filed by Eight Sleep Inc. filed Critical Eight Sleep Inc.
Priority to CA2985452A priority Critical patent/CA2985452A1/fr
Publication of WO2016182795A1 publication Critical patent/WO2016182795A1/fr

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    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
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    • A61B5/0816—Measuring devices for examining respiratory frequency
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Definitions

  • Various embodiments relate generally to home automation devices, and human biological signal gathering and analysis,
  • REM sleep rapid eye movement
  • non-REM sleep First comes non-REM sleep, followed by a shorter period of REM sleep, and then the cycle starts over again.
  • stage one a person's eyes are closed, but the person is easily woken up. This stage may last for 5 to 10 minutes.
  • stage two a person is in light sleep. A person's heart rate slows and the person's body temperature drops. The person's body is getting ready for deep sleep.
  • Stage three is the deep sleep stage, A person is harder to rouse during this stage, and if the person was woken up, the person would feel disoriented for a few minutes.
  • the body repairs and regrows tissues, builds bone and muscle, and strengthens the immune system.
  • REM sleep happens 90 minutes after a person falls asleep. Dreams typically happen during REM sleep. The first period of REM typically lasts 10 minutes. Each of later REM: stages gets longer, and the final one may last up to an hour. A person's heart rate and breathing quickens. A person can have intense dreams during REM sleep, since the brain is more active. REM sleep affects learning of certain mental skills.
  • an electric blanket is a blanket with an integrated electrical heating device which can be placed above the top bed sheet or below the bottom bed sheet.
  • the electric blanket may be used to pre-heat the bed before use or to keep the occupant warm while in bed.
  • turning on the electric blanket requires the user to remember to manually turn on the blanket, and then manually turn it on. Further, the electric blanket provides no additional functionality besides warming the bed.
  • one or more user sensors associated with a piece of furniture, such as a bed, measure the bio signals associated with a user, such as the heart rate associated with said user or breathing rate associated with said user.
  • One or more environment sensors measure the environment property such as temperature, humidity, light, or sound. Based on the bio signals associated with said user and environment properties received, the system determines the time at which to send an instruction to an alarm to turn on or to turn off.
  • the system determines the sleep phase associated with said user. Based on the sleep phase and the user-specified wake-up time, the system determines a time to wake up the user, so that the user does not feel tired or disoriented when woken up.
  • FIG. 1 is a diagram of a bed device, according to one embodiment.
  • FIG. 2 illustrates an example of a bed device, according to one embodiment.
  • FIG. 3 illustrates an example of layers comprising a bed pad device, according to one embodiment.
  • FIG. 4 illustrates a user sensor placed on a sensor strip, according to one embodiment.
  • FIGS. 5 A, 5B, 5C, and 5D show different configurations of a sensor strip, to fit different size mattresses, according to one embodiment.
  • FIG. 6A illustrates the division of the heating coil into zones and subzones, according to one embodiment.
  • FIGS. 6B and 6C illustrate the independent control of the different subzones, according to one embodiment.
  • FIG. 7 is a flowchart of the process for deciding when to heat or cool the bed device, according to one embodiment.
  • FIG. 8 is a flowchart of the process for recommending a bed time to a user, according to one embodiment.
  • FIG. 9 is a flowchart of the process for activating the user's alarm, according to one embodiment.
  • FIG. 10 is a flowchart of the process for turning off an appliance, according to one embodiment.
  • FIG. 11 is a diagram of a system capable of automating the control of the home appliances, according to one embodiment.
  • FIG. 12 is an illustration of the system capable of controlling an appliance and a home, according to one embodiment.
  • FIG. 13 is a flowchart of the process for controlling an appliance, according to one embodiment.
  • FIG. 14 is a flowchart of the process for controlling an appliance, according to another embodiment.
  • FIG. 15 is a diagram of a system for monitoring biological signals associated with a user, and providing notifications or alarms, according to one embodiment.
  • FIG. 16 is a flowchart of a process for generating a notification based on a histon,' of biological signals associated with a user, according to one embodiment.
  • FIG. 17 is a flowchart of a process for generating a comparison between a biological signal associated with a user and a target biological signal, according to one embodiment.
  • FIG. 18 is a flowchart of a process for detecting the onset of a disease, according to one embodiment.
  • FIG. 19 is a diagrammatic representation of a machine in the example form of a computer system within which a set of instructions, for causing the machine to perform any one or more of the methodologies or modules discussed herein, may be executed.
  • biological signal and “bio signal” are synonyms, and are used interchangeably.
  • Reference in this specification to "sleep phase” means light sleep, deep sleep, or rapid eye movement (“REM”) sleep.
  • Light sleep comprises stage one and stage two, non- REM sleep.
  • references in this specification to "one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosure.
  • the appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
  • various features are described that may be exhibited by some embodiments and not by others.
  • various requirements are described that may be requirements for some embodiments but not others.
  • the words “comprise,” “comprising,” and the like are to be construed in an inclusive sense, as opposed to an exclusive or exhaustive sense, that is to say, in the sense of "including, but not limited to.”
  • the terms “connected,” “coupled,” or any variant thereof means any connection or coupling, either direct or indirect, between two or more elements.
  • the coupling or connection between the elements can be physical, logical, or a combination thereof.
  • two devices may be coupled directly, or via one or more intermediary channels or devices.
  • devices may be coupled in such a way that information can be passed there between, while not sharing any physical connection with one another.
  • module refers broadly to software, hardware, or firmware components (or any combination thereof). Modules are typically functional components that can generate useful data or another output using specified input(s), A module may or may not be self-contained.
  • An application program also called an "application”
  • An application may include one or more modules, or a module may include one or more application programs,
  • FIG. 1 is a diagram of a bed device, according to one embodiment.
  • Any number of user sensors 140, 150 monitor the bio signals associated with a user, such as the heart rate, the breathing rate, the temperature, motion, or presence, associated with said user.
  • Any number of environment sensors 160, 170 monitor environment properties, such as temperature, sound, light, or humidity.
  • the user sensors 140, 150 and the environment sensors 160, 170 communicate their measurements to the processor 100.
  • the environment sensors 160, 70 measure the properties of the environment that the environment sensors 160, 170 are associated with. In one embodiment, the environment sensors 160, 170 are placed next to the bed.
  • the processor 100 determines, based on the bio signals associated with said user, historical bio signals associated with said user, user-specified preferences, exercise data associated with said user, or the environment properties received, a control signal, and a time to send said control signal to a bed device 120.
  • the processor 100 is connected to a database 180, which stores the biological signals associated with a user. Additionally, the database 180 can store average biological signals associated with the user, history of biological signals associated with a user, etc.
  • the database 80 can be associated with a user, or the database 180 can be associated with the bed device.
  • FIG. 2 illustrates an example of the bed device of FIG. 1 , according to one embodiment.
  • a sensor strip 210 associated with a mattress 200 of the bed device 120, monitors bio signals associated with a user sleeping on the mattress 200.
  • the sensor strip 210 can be built into the mattress 200, or can be part of a bed pad device. Alternatively, the sensor strip 210 can be a part of any other piece of furniture, such as a rocking chair, a couch, an armchair etc.
  • the sensor strip 210 comprises a temperature sensor, or a piezo sensor.
  • the environment sensor 220 measures environment properties such as temperature, sound, light or humidity. According to one embodiment, the environment sensor 220 is associated with the environment surrounding the mattress 200.
  • the processor 230 can be similar to the processor 100 of FIG. 1
  • a processor 230 can be connected to the sensor strip 210, or the environment sensor 220 by a computer bus, such as an I2C bus.
  • the processor 230 can be connected to the sensor strip 210, or the environment sensor 220 by a communication network.
  • the communication network connecting the processor 230 to the sensor strip 210, or the environment sensor 220 includes one or more networks such as a data network, a wireless network, a telephony network, or any combination thereof.
  • the data network may be any local area network (LAN), metropolitan area network (MAN), wide area network (WAN), a public data network (e.g., the Internet), short range wireless network, or any other suitable packet-switched network, such as a commercially owned, proprietary packet-switched network, e.g., a proprietary cable or fiber-optic network, and the like, or any combination thereof.
  • LAN local area network
  • MAN metropolitan area network
  • WAN wide area network
  • a public data network e.g., the Internet
  • short range wireless network e.g., a commercially owned, proprietary packet-switched network, e.g., a proprietary cable or fiber-optic network, and the like, or any combination thereof.
  • the wireless network may be, for example, a cellular network and may employ various technologies including enhanced data rates for global evolution (EDGE), general packet radio service (GPRS), global system for mobile communications (GSM), Internet protocol multimedia subsystem (IMS), universal mobile telecommunications system (UMTS), etc., as well as any other suitable wireless medium, e.g., worldwide interoperability for microwave access (WiMAX), Long Term Evolution (LTE) networks, code division multiple access (CDMA), wideband code division multiple access (WCDMA), wireless fidelity (WiFi), wireless LAN (WLAN), Bluetooth®, Internet Protocol (IP) data casting, satellite, mobile ad-hoc network (MANET), and the like, or any combination thereof.
  • EDGE enhanced data rates for global evolution
  • GPRS general packet radio service
  • GSM global system for mobile communications
  • IMS Internet protocol multimedia subsystem
  • UMTS universal mobile telecommunications system
  • WiMAX worldwide interoperability for microwave access
  • LTE Long Term Evolution
  • CDMA code division multiple
  • the processor 230 is any type of microcontroller, or any processor in a mobile terminal, fixed terminal, or portable terminal including a mobile handset, station, unit, device, multimedia computer, multimedia tablet, Internet node, cloud computer, communicator, desktop computer, laptop computer, notebook computer, netbook computer, tablet computer, personal communication system (PCS) device, personal navigation device, personal digital assistants (PDAs), audio/video player, digital camera/camcorder, positioning device, television receiver, radio broadcast receiver, electronic book device, game device, the accessories and peripherals of these devices, or any combination thereof.
  • PCS personal communication system
  • PDAs personal digital assistants
  • audio/video player digital camera/camcorder
  • positioning device television receiver, radio broadcast receiver, electronic book device, game device, the accessories and peripherals of these devices, or any combination thereof.
  • the vibrating alarm strip 240 is attached to the mattress 200.
  • the vibrating alarm strip 240 comprises a plurality of vibrating mini motors 250.
  • the vibrating alarm strip 240 is activated by the processor 230, when the processor 230 determines that the user needs to be alerted, such as when the user needs to be woken up in the morning.
  • the vibrating alarm strip can also be attached to a pillow, a cover, or the vibrating alarm strip can be a wearable device. In some embodiments, the vibrating alarm strip 240 can be integrated with the sensor strip 210.
  • FIG. 3 illustrates an example of layers comprising the bed pad device of FIG. I , according to one embodiment.
  • the bed pad device 120 is a pad that can be placed on top of the mattress.
  • Bed pad device 120 comprises a number of layers.
  • a top layer 350 comprises fabric.
  • a layer 340 comprises batting, and a sensor strip 330.
  • a layer 320 comprises coils for cooling or heating the bed device.
  • a layer 310 comprises waterproof mated al .
  • FIG. 4 illustrates a user sensor 420, 440, 450, 470 placed on a sensor strip 400, according to one embodiment.
  • the user sensors 420, 440, 450, 470 can be similar to or part of the sensor strip 210 of FIG. 2.
  • Sensors 470 and 440 comprise a piezo sensor, which can measure a bio signal associated with a user, such as the heart rate and the breathing rate.
  • Sensors 450 and 420 comprise a temperature sensor.
  • sensors 450, and 470 measure the bio signals associated with one user, while sensors 420, 440 measure the bio signals associated with another user.
  • Analog-to-digital converter 410 converts the analog sensor signals into digital signals to be communicated to a processor.
  • Computer bus 430 and 460 such as the I2C bus, communicates the digitized bio signals to a processor.
  • FIGS. 5A and 5B show different configurations of the sensor strip, to fit different size mattresses, according to one embodiment.
  • FIGS. 5C and 5D show how such different configurations of the sensor strip can be achieved.
  • sensor strip 400 comprises a computer bus 510, 530, and a sensor striplet 505.
  • the computer bus 510, 530 can be bent at predetermined locations 540, 550, 560, 570. Bending the computer bus 515 at location 540 produces the maximum total length of the computer bus 530.
  • Computer bus 510 combined with a sensor striplet 505, fits a twin size mattress 500. Bending the computer bus 515 at location 560, enables the sensor strip 400 to fit a full-size bed. Bending the computer bus 515 at location 550 enables the sensor strip 400 to fit a queen-size bed.
  • twin mattress 500, or king mattress 520 can be similar to the mattress 200 of FIG. 2.
  • FIG. 6A illustrates the division of the heating coil 600 into zones and subzones, according to one embodiment.
  • the heating coil 600 is divided into two zones 660 and 610, each corresponding to one user of the bed.
  • Each zone 660 and 610 can be heated or cooled independently of the other zone in response to the user's needs.
  • the power supply associated with the heating coil 600 is divided into two zones, each power supply zone corresponding to a single user zone 660, 610. Further, each zone 660 and 610 is further subdivided into subzones.
  • Zone 660 is divided into subzones 670, 680, 690, and 695.
  • Zone 610 is divided into subzones 620, 630, 640, and 650.
  • the distribution of coils in each subzone is configured so that the subzone is uniformly heated.
  • the subzones may differ among themselves in the density of coils.
  • the data associated with said user subzone 670 has lower density of coils than subzone 680. This will result in subzone 670 having lower temperature than subzone 680, when the coils are heated.
  • subzones 670 will have higher temperature than subzone 680.
  • subzones 680 and 630 with highest coil density correspond to the user's lower back; and subzones 695 and 650 with highest coil density correspond to user's feet.
  • the system will correctly identify which user is sleeping in which zone by identifying the user based on any of the following signals alone, or in combination: heart rate, breathing rate, body motion, or body temperature associated with said user.
  • the power supply associated with the heating coil 600 is divided into a plurality of zones, each power supply zone corresponding to a subzone 620, 630, 640, 650, 670, 680, 690, 695.
  • the user can control the temperature of each subzone 620, 630, 640, 650, 670, 680, 690, 695 independently.
  • each user can independently specify the temperature preferences for each of the subzones. Even if the users switch sides of the bed, the system will correctly identify the user, and the preferences associated with the user by identifying the user based on any of the following signals alone, or in combination: heart rate, breathing rate, body motion, or body temperature associated with said user.
  • FIG. 6B and 6C illustrate the independent control of the different subzones in each zone 610, 660, according to one embodiment.
  • Set of uniform coils 61 connected to power management box 601, uniformly heats or cools the bed.
  • Subzone 615 heats or cools the neck.
  • Subzone 625 heats or cools the back.
  • Subzone 635 heats or cools the legs, and subzone 645 heats or cools the feet.
  • Power is distributed to the coils via duty cycling of the power supply 605. Contiguous sets of coils can be heated or cooled at different levels by assigning the power supply duty cycle to each set of coils. The user can control the temperature of each subzone independently.
  • FIG. 7 is a flowchart of the process for deciding when to heat or cool the bed device, according to one embodiment.
  • the process obtains a biological signal associated with a user, such as presence in bed, motion, breathing rate, heart rate, or a temperature.
  • the process obtains said biological signal from a sensor associated with a user.
  • the process obtains environment property, such as the amount of ambient light and the bed temperature.
  • the process obtains environment property from and environment sensor associated with the bed device. If the user is in bed, the bed temperature is low, and the ambient light is low, the process sends a control signal to the bed device.
  • the control signal comprises an instruction to heat the bed device to the average nightly- temperature associated with said user.
  • control signal comprises an instruction to heat the bed device to a user-specified temperature. Similarly, if the user is in bed, the bed temperature is high, and the ambient light is low, the process sends a control signal to the bed device to cool the bed device to the average nightly temperature associated with said user. According to another embodiment, the control signal comprises an instruction to cool the bed device to a user-specified temperature.
  • the process obtains a history of biological signals associated with said user.
  • the history of biological signals can be stored in a database 180 associated with the bed device, or in a database 180 associated with a user.
  • the history of biological signals comprises the average bedtime the user went to sleep for each day of the week; that is, the history of biological signals comprises the average bedtime associated with said user on Monday, the average bedtime associated with said user on Tuesday, etc.
  • the process determines the average bedtime associated with said user for that day of the week, and sends the control signal to the bed device, allowing enough time for the bed to reach the desired temperature, before the average bedtime associated with said user.
  • the control signal comprises an instruction to heat, or cool the bed to a desired temperature.
  • the desired temperature may be automatically determined, such as by averaging the historical nightly temperature associated with a user, or the desired temperature may be specified by the user.
  • Bio signal processing [0057] The technology disclosed here categorizes the sleep phase associated with a user as light sleep, deep sleep, or REM sleep.
  • Light sleep comprises stage one and stage two sleep.
  • the technology performs the categorization based on the breathing rate associated with said user, heart rate associated with said user, motion associated with said user, and body temperature associated with said user.
  • the breathing rate associated with said user Generally, when the user is awake the breathing is erratic. When the user is sleeping, the breathing becomes regular. The transition between being awake and sleeping is quick, and lasts less than 1 minute.
  • the user cycles through light sleep, deep sleep, and REM sleep throughout the night. A complete sleep cycle takes on average between 90 and 110 minutes.
  • FIG, 8 is a flowchart of the process for recommending a bed time to the user, according to one embodiment.
  • the processor 230 obtains a history of sleep phase information associated with said user.
  • the history of sleep phase information comprises an amount of time the user spent in each of the sleep phases, light sleep, deep sleep, or REM sleep.
  • the history of sleep phase information can be stored in a database 180 associated with the user. Based on this information, the processor 230 determines how much light sleep, deep sleep, and REM sleep, the user needs on average every day.
  • the history of sleep phase information comprises the average bedtime associated with said user for each day of the week (e.g. the average bedtime associated with said user on Monday, the average bedtime associated with said user on Tuesday, etc.).
  • the processor 230 obtains user-specified wake-up time, such as the alarm setting associated with said user.
  • the processor 230 obtains exercise information associated with said user, such as the distance the user ran that day, the amount of time the user exercised in the gym, or the amount of calories the user burned that day.
  • the processor 230 obtains said exercise information from a user phone, a wearable device, a fitbit bracelet, or a database 180 storing said exercise information.
  • the processor 230 recommends a bedtime to the user. For example, if the user has not been getting enough deep and REM sleep in the last few days, the processor 230 recommends an earlier bedtime to the user. Also, if the user has exercised more than the average daily exercise, the processor 230 recommends an earlier bedtime to the user,
  • FIG. 9 is a flowchart of the process for activating a user's alarm, according to one embodiment.
  • the processor 230 obtains the compound bio signal associated with said user.
  • the compound bio signal associated with said user comprises the heart rate associated with said user, the breathing rate associated with said user, the motion associated with the user, and the temperature associated with the user.
  • the processor 230 obtains the compound bio signal from a sensor associated with said user.
  • the processor 230 extracts the heart rate signal from the compound bio signal.
  • the processor 230 extracts the heart rate signal associated with said user by performing low-pass filtering on the compound bio signal.
  • the processor 230 extracts the breathing rate signal from the compound bio signal.
  • the processor 230 extracts the breathing rate by performing bandpass filtering on the compound bio signal.
  • the breathing rate signal includes breath duration, pauses between breaths, as well as breaths per minute.
  • the processor 230 also extracts the temperature signal and the motion signal from the compound bio signal.
  • the processor 230 obtains user's wake-up time, such as the alarm setting associated with said user.
  • the processor 230 first identifies the user based on the user's bio signal. Based on the heart rate signal and the breathing rate signal, the processor 230 determines the sleep phase associated with said user, and if the user is in light sleep phase, and current time is at most one hour before the alarm time, at block 940, the processor 230 sends a control signal to an alarm.
  • the control signal comprises an instruction to activate. Waking up the user during the deep sleep or REM sleep is detrimental to the user's health because the user will feel disoriented, groggy, and will suffer from impaired memory. Consequently, at block 950, the processor 230 activates an alarm, when the user is in light sleep and when the current time is at most one hour before the user specified wake-up time,
  • the alarm can be a vibrating alarm strip coupled to the user, for example a vibrating alarm strip attached to the mattress, attached to a bed pad, attached to the user's cover, attached to the bed sheets etc.
  • the alarm can be a wearable device attached to the user, such as a bracelet.
  • the vibrating alarm strip can be divided into a plurality of zones corresponding to a plurality of users. For example, the left side of the bed corresponds to zone 1, and the right side of the bed corresponds to zone 2. Zone 1 and zone 2 can vibrate independently of each other.
  • the control signal comprises an identification associated with the zone to which the control signal is sent.
  • the processor 230 can detect whether the user is in light sleep in several ways. According to one embodiment, the processor 230 detects that user is in light sleep if within a period of at most 5 minutes there is a slow-down in the user's heart rate, a drop in the user's temperature, and the users breathing becomes regular. According to another embodiment, the processor 230 detects that the user is in light sleep if the user is sleeping, and the rapid eye movement sleep phase has ended.
  • the database 180 stores a history of biological signals associated with said user, wherein said history of biological signals associated with the user comprises a normal heart rate range associated with each sleep phase, a normal breathing rate range associated with each sleep phase, a normal motion range associated with each sleep phase, and a normal temperature range associated with each sleep phase.
  • the processor 230 obtains from the database 180 the history of biological signals associated with a user.
  • the processor 230 first identifies the user based on the current bio signal associated with the user, The current bio signal comprises the current breathing rate, the current temperature in the current motion associated with the user.
  • FIG. 10 is a flowchart of the process for turning off an appliance, according to one embodiment.
  • the processor 230 obtains the compound bio signal associated with said user.
  • the compound bio signal comprises the heart rate associated with said user, and the breathing rate associated with said user.
  • the processor 230 obtains the compound bio signal from a sensor associated with said user.
  • the processor 230 extracts the heart rate signal from the compound bio signal by, for example, performing low-pass filtering on the compound bio signal. Also, at block 1020, the processor 230 extracts the breathing rate signal from the compound bio signal by, for example, performing bandpass filtering on the compound bio signal .
  • the processor 230 obtains an environment property, comprising temperature, humidity, light, sound from an environment sensor associated with said sensor strip. Based on the environment property and the sleep state associated with said user, at block 1040, the processor 230 determines whether the user is sleeping. If the user is sleeping, the processor 230, at block 1050, turns an appliance off. For example, if the user is asleep and the environment temperature is above the average nightly temperature, the processor 230 turns off the thermostat. Further, if the user is asleep and the lights are on, the processor 230 turns off the lights. Similarly, if the user is asleep and the TV is on, the processor 230 turns off the TV. Smart home
  • FIG. 11 is a diagram of a system capable of automating the control of the home appliances, according to one embodiment.
  • Any number of user sensors 1140, 1 150 monitor biological signals associated with said user, such as temperature, motion, presence, heart rate, or breathing rate.
  • Any number of environment sensors 1 160, 1 170 monitor environment properties, such as temperature, sound, light, or humidity.
  • the environment sensors 1160, 1170 are placed next to a bed.
  • the user sensors 1140, 1150 and the environment sensors 1 160, 170 communicate their measurements to the processor 1100.
  • the processor 1100 and the processor 230 at the same processor.
  • the processor 1100 determines, based on the current biological signals associated with said user, historical biological signals associated with said user, user-specified preferences, exercise data associated with said user, and the environment properties received, a control signal, and a time to send said control signal to an appliance 1 120, 1 130,
  • the processor 100 is any type of microcontroller, or any processor in a mobile terminal, fixed terminal, or portable terminal including a mobile handset, station, unit, device, multimedia computer, multimedia tablet, Internet node, cloud computer, communicator, desktop computer, laptop computer, notebook computer, netbook computer, tablet computer, personal communication system (PCS) device, personal navigation device, personal digital assistants (PDAs), audio/video player, digital camera/camcorder, positioning device, television receiver, radio broadcast receiver, electronic book device, game device, the accessories and peripherals of these devices, or any combination thereof.
  • PCS personal communication system
  • PDAs personal digital assistants
  • audio/video player digital camera/camcorder
  • positioning device television receiver, radio broadcast receiver, electronic book device, game device, the accessories and peripherals of these devices, or any combination thereof.
  • the processor 1 100 can be connected to the user sensor 1 140, 1 150, or the environment sensor 1 60, 1 170 by a computer bus, such as an I2C bus. Also, the processor 1100 can be connected to the user sensor 1 140, 1150, or environment sensor 1 160, 1 170 by a communication network 1110.
  • the communication network 1110 connecting the processor 1100 to the user sensor 1 140, 1 150, or the environment sensor 1160, 1 170 includes one or more networks such as a data network, a wireless network, a telephony network, or any combination thereof.
  • the data network may be any local area network (LAN), metropolitan area network (MAN), wide area network (WAN), a public data network (e.g., the Internet), short range wireless network, or any other suitable packet-switched network, such as a commercially owned, proprietary packet-switched network, e.g., a proprietary cable or fiber-optic network, and the like, or any combination thereof.
  • LAN local area network
  • MAN metropolitan area network
  • WAN wide area network
  • a public data network e.g., the Internet
  • short range wireless network e.g., a commercially owned, proprietary packet-switched network, e.g., a proprietary cable or fiber-optic network, and the like, or any combination thereof.
  • the wireless network may be, for example, a cellular network and may employ various technologies including enhanced data rates for global evolution (EDGE), general packet radio service (GPRS), global system for mobile communications (GSM), Internet protocol multimedia subsystem (IMS), universal mobile telecommunications system (UMTS), etc., as well as any other suitable wireless medium, e.g., worldwide interoperability for microwave access (WiMAX), Long Term Evolution (LTE) networks, code division multiple access (CDMA), wideband code division multiple access (WCDMA), wireless fidelity (WiFi), wireless LAN (WLAN), Bluetooth®, Internet Protocol (IP) data casting, satellite, mobile ad-hoc network (MANET), and the like, or any combination thereof.
  • EDGE enhanced data rates for global evolution
  • GPRS general packet radio service
  • GSM global system for mobile communications
  • IMS Internet protocol multimedia subsystem
  • UMTS universal mobile telecommunications system
  • any other suitable wireless medium e.g., worldwide interoperability for microwave access (WiMAX), Long
  • the appliances that the system disclosed here can control, comprise an alarm, a coffee machine, a lock, a thermostat, a bed device, a humidifier, or a light.
  • the system detects that the user has fallen asleep, the system sends a control signal to the lights to turn off, to the locks to engage, and to the thermostat to lower the temperature.
  • the system sends a control signal to the coffee machine to start making coffee.
  • FIG. 13 is a flowchart of the process for controlling an appliance, according to one embodiment.
  • the process obtains history of biological signals, such as at what time does the user go to bed on a particular day of the week (e.g. the average bedtime associated with said user on Monday, the average bedtime associated with said user on Tuesday etc.).
  • the history of biological signals can be stored in a database 180 associated with the user, or in a database 180 associated with the bed device.
  • the process also obtains user specified preferences, such as the preferred bed temperature associated with said user.
  • the process determines a control signal, and a time to send said control signal to an appliance. It block 1330, the process determines whether to send a control signal to an appliance. For example, if the current time is within half an hour of average bedtime associated with said user on that particular day of the week, the process, at block 1340, sends a control signal to an appliance.
  • the control signal comprises an instruction to turn on the bed device, and the user specified bed temperature.
  • the bed temperature is determined automatically, such as by calculating the average nightly bed temperature associated with a user.
  • the process obtains a current biological signal associated with a user from a sensor associated with said user.
  • the process also obtains environment data, such as the ambient light, from an environment sensor associated with a bed device. Based on the current biological signal, the process identifies whether the user is asleep. If the user is asleep and the lights are on, the process sends an instruction to turn off the lights. In another embodiment, if the user is asleep, the lights are off, and the ambient light is high, the process sends an instruction to the blinds to shut. In another embodiment, if the user is asleep, the process sends an instruction to the locks to engage.
  • the process obtains history of biological signals, such as at what time the user goes to bed on a particular day of the week (e.g. the average bedtime associated with said user on Monday, the average bedtime associated with said user on Tuesday etc.).
  • the history of biological signals can be stored in a database 180 associated with the bed device, or in a database 180 associated with a user.
  • the user may specify a bedtime for the user for each day of the week.
  • the process obtains the exercise data associated with said user, such as the number of hours the user spent exercising, or the heart rate associated with said user during exercising.
  • the process obtains the exercise data from a user phone, a wearable device, titbit bracelet, or a database 180 associated with said user. Based on the average bedtime for that day of the week, and the exercise data during the day, the process, at block 1320, determines the expected bedtime associated with said user that night. The process then sends an instruction to the bed device to heat to a desired temperature, before the expected bedtime.
  • the desired temperature can be specified by the user, or can be determined automatically, based on the average nightly temperature associated with said user.
  • FIG. 14 is a flowchart of the process for controlling an appliance, according to another embodiment.
  • the process receives current biological signal associated with said user, such as the heart rate, breathing rate, presence, motion, or temperature, associated with said user. Based on the current biological signal, the process, at block 1410, identifies current sleep phase, such as light sleep, deep sleep, or REM sleep.
  • the process, at block 1420 also receives a current environment property value, such as the temperature, the humidity, the light, or the sound.
  • the process, at block 1430 accesses a database 180, which stores historical values associated with the environment property and the current sleep phase. That is, the database 180 associates each sleep phase with an average historical value of the different environment properties.
  • the database 180 maybe associated with the bed device, maybe associated with the user, or maybe associated with a remote server.
  • the environment property can be the temperature associated with the bed device.
  • the database 180 stores the average bed temperature corresponding to each of the sleep phase, light sleep, deep sleep, REM sleep. If the current bed temperature is below the historical average, the process sends a control signal to increase the temperature of the bed to match the historical average.
  • Bio signals associated with a person such as a heart rate or a breathing rate, indicate said person's state of health. Changes in the biological signals can indicate an immediate onset of a disease, or a long-term trend that increases the risk of a disease associated with said person. Monitoring the biological signals for such changes can predict the onset of a disease, can enable calling for help when the onset of the disease is immediate, or can provide advice to the person if the person is exposed to a higher risk of the disease in the long-term.
  • FIG. 15 is a diagram of a system for monitoring biological signals associated with a user, and providing notifications or alarms, according to one embodiment.
  • Any number of user sensors 1530, 1540 monitor bio signals associated with said user, such as temperature, motion, presence, heart rate, or breathing rate.
  • the user sensors 1530, 1540 communicate their measurements to the processor 1 500.
  • the processor 1500 determines, based on the bio signals associated with said user, historical biological signals associated with said user, or user-specified preferences whether to send a notification or an alarm to a user device 1520.
  • the user device 1520 and the processor 1500 can be the same device.
  • the user device 1520 is any type of a mobile terminal, fixed terminal, or portable terminal including a mobile handset, station, unit, device, multimedia computer, multimedia tablet, Internet node, communicator, desktop computer, laptop computer, notebook computer, netbook computer, tablet computer, personal communication system (PCS) device, personal navigation device, personal digital assistants (PDAs), audio/video player, digital camera/camcorder, positioning device, television receiver, radio broadcast receiver, electronic book device, game device, the accessories and peripherals of these devices, or any combination thereof.
  • PCS personal communication system
  • PDAs personal digital assistants
  • audio/video player digital camera/camcorder
  • positioning device television receiver, radio broadcast receiver, electronic book device, game device, the accessories and peripherals of these devices, or any combination thereof.
  • the processor 1500 is any type of microcontroller, or any processor in a mobile terminal, fixed terminal, or portable terminal including a mobile handset, station, unit, device, multimedia computer, multimedia tablet, Internet node, cloud computer, communicator, desktop computer, laptop computer, notebook computer, netbook computer, tablet computer, personal communication system (PCS) device, personal navigation device, personal digital assistants (PDAs), audio/video player, digital camera/camcorder, positioning device, television receiver, radio broadcast receiver, electronic book device, game device, the accessories and peripherals of these devices, or any combination thereof.
  • PCS personal communication system
  • PDAs personal digital assistants
  • audio/video player digital camera/camcorder
  • positioning device television receiver, radio broadcast receiver, electronic book device, game device, the accessories and peripherals of these devices, or any combination thereof.
  • the processor 1500 can be connected to the user sensor 1530, 1540 by a computer bus, such as an E2C bus. Also, the processor 1500 can be connected to the user sensor 1530, 1540 by a communication network 1510.
  • the communication network 1510 connecting the processor 1500 to the user sensor 1530, 1540 includes one or more networks such as a data network, a wireless network, a telephony network, or any combination thereof.
  • the data network may be any local area network (LAN), metropolitan area network (MAN), wide area network (WAN), a public data network (e.g., the Internet), short range wireless network, or any other suitable packet-switched network, such as a commercially owned, proprietary packet-switched network, e.g., a proprietary cable or fiber-optic network, and the like, or any combination thereof.
  • LAN local area network
  • MAN metropolitan area network
  • WAN wide area network
  • a public data network e.g., the Internet
  • short range wireless network e.g., a commercially owned, proprietary packet-switched network, e.g., a proprietary cable or fiber-optic network, and the like, or any combination thereof.
  • the wireless network may be, for example, a cellular network and may employ various technologies including enhanced data rates for global evolution (EDGE), general packet radio service (GPRS), global system for mobile communications (GSM), Internet protocol multimedia subsystem (IMS), universal mobile telecommunications system (UMTS), etc., as well as any other suitable wireless medium, e.g., worldwide interoperability for microwave access (WiMAX), Long Term Evolution (LTE) networks, code division multiple access (CDMA), wideband code division multiple access (WCDMA), wireless fidelity (WiFi), wireless LAN (WLAN), Bluetooth®, Internet Protocol (IP) data casting, satellite, mobile ad-hoc network (MANET), and the like, or any combination thereof.
  • EDGE enhanced data rates for global evolution
  • GPRS general packet radio service
  • GSM global system for mobile communications
  • IMS Internet protocol multimedia subsystem
  • UMTS universal mobile telecommunications system
  • WiMAX worldwide interoperability for microwave access
  • LTE Long Term Evolution
  • CDMA code division multiple
  • FIG. 16 is a flowchart of a process for generating a notification based on a history of biological signals associated with a user, according to one embodiment.
  • the process obtains a history of biological signals, such as the presence history, motion history, breathing rate history, or heart rate history, associated with said user.
  • the history of biological signals can be stored in a database 180 associated with a user.
  • the process determines if there is an irregularity in the history of biological signals within a timeframe. If there is an irregularity, at block 1620, the process generates a notification to the user.
  • the timeframe can be specified by the user, or can be automatically determined based on the type of irregularity.
  • the process detects an irregularity, specifically, that a daily heart rate associated with said user is higher than normal. Consequently, the process warns the user that the user may be getting sick.
  • the process detects an irregularity, such as that an elderly user is spending at least 10% more time in bed per day over the last several days, than the historical average. The process generates a notification to the elderly user, or to the elderly user's caretaker, such as how much more time the elderly user is spending in bed.
  • the process detects an irregularity such as an increase in resting heart rate, by more than 15 beats per minute, over a ten-year period. Such an increase in the resting heart rate doubles the likelihood that the user will die from a heart disease, compared to those people whose heart rates remained stable. Consequently, the process warns the user that the user is at risk of a heart disease.
  • FIG. 17 is a flowchart of a process for generating a comparison between a biological signal associated with a user and a target biological signal, according to one embodiment.
  • the process obtains a current biological signal associated with a user, such as presence, motion, breathing rate, temperature, or heart rate, associated with said user.
  • the process obtains said current biological signal from a sensor associated with said user.
  • the process at block 1710, then obtains a target biological signal, such as a user- specified biological signal, a biological signal associated with a healthy user, or a biological signal associated with an athlete.
  • the process obtains said target biological signal from a user, or a database 180 storing biological signals.
  • the process compares current bio signal associated with said user and target bio signal, and generates a notification based on the comparison 1730.
  • the comparison of the current bio signal associated with said user and target bio signal comprises detecting a higher frequency in the current biological signal then in the target biological signal, detecting a lower frequency in the current biological signal than in the target biological signal, detecting higher amplitude in the current biological signal than in the target biological signal, or detecting lower amplitude in the current biological signal than in the target biological signal.
  • the process of FIG. 17 can be used to detect if an infant has a higher risk of sudden infant death syndrome ("SIDS").
  • SIDS victims less than one month of age heart, rate is higher than in healthy infants of same age, during all sleep phases.
  • SIDS victims greater than one month of age show higher heart rates during REM sleep phase.
  • the process obtains the current bio signal associated with the sleeping infant, and a target biological signal associated with the heart rate of a healthy infant, where the heart rate is at the high end of a healthy heart rate spectrum.
  • the process obtains the current bio signal from a sensor strip associated with the sleeping infant.
  • the process obtains said target biological signal from a database 180 of biological signals. If the frequency of the biological signal of the infant exceeds the target biological signal, the process generates a notification to the infant's caretaker, that the infant is at higher risk of SIDS,
  • the process of FIG. 17 can be used in fitness training.
  • a normal resting heart rate for adults ranges from 60 to 100 beats per minute.
  • a lower heart rate at rest implies more efficient heart function and better cardiovascular fitness.
  • a well-trained athlete might have a normal resting heart rate closer to 40 beats per minute.
  • a user may specify a target rest heart rate of 40 beats per minute.
  • the process FIG. 17 generates a comparison between the actual bio signal associated with said user and the target bio signal 1720, and based on the comparison, the process generates a notification whether the user has reached his target, or whether the user needs to exercise more 1730.
  • FIG. 18 is a flowchart of a process for detecting the onset of a disease, according to one embodiment.
  • the process obtains the current bio signal associated with a user, such as presence, motion, temperature, breathing rate, or heart rate, associated with said user.
  • the process obtains the current bio signal from a sensor associated with said user.
  • the process obtains a history of bio signals associated with said user from a database 180.
  • the history of bio signals comprises the bio signals associated with said user, accumulated over time.
  • the history of biological signals can be stored in a database 180 associated with a user.
  • the discrepancy between the current bio signal and the history of bio signals comprises a higher frequency in the current bio signal than in the history of bio signals, or a lower frequency in the current bio signal than in the history of bio signals.
  • the process of FIG. 18 can be used to detect an onset of an epileptic seizure.
  • a healthy person has a normal heart rate between 60 and 100 beats per minute.
  • the median heart rate associated with said person exceeds 100 beats per minute.
  • the process of FIG. 18 detects that the heart rate associated with said user exceeds the normal heart rate range associated with said user.
  • the process then generates an alarm to the user's caretaker that the user is having an epileptic seizure.
  • epileptic seizures can cause the median heart rate associated with a person to drop below 40 beats per minute.
  • the process of FIG, 18 detects if the current heart rate is below the normal heart rate range associated with said user.
  • the process then generates an alarm to the user's caretaker that the user is having an epileptic seizure.
  • FIG. 19 is a diagrammatic representation of a machine in the example form of a computer system 1900 within which a set of instructions, for causing the machine to perform any one or more of the methodologies or modules discussed herein, may be executed.
  • the computer system 1900 includes a processor, memory, non-volatile memory, and an interface device. Various common components (e.g., cache memory) are omitted for illustrative simplicity.
  • the computer system 1900 is intended to illustrate a hardware device on which any of the components described in the example of FIGS. 1-18 (and any other components described in this specification) can be implemented.
  • the computer system 1900 can be of any applicable known or convenient type.
  • the components of the computer system 1900 can be coupled together via a bus or through some other known or convenient device.
  • computer system 1900 may be an embedded computer system, a system-on-chip (SGC), a single-board computer system (SBC) (such as, for example, a computer-on-module (COM) or system-on-module (SOM)), a desktop computer system, a laptop or notebook computer system, an interactive kiosk, a mainframe, a mesh of computer systems, a mobile telephone, a personal digital assistant (PDA), a server, or a combination of two or more of these.
  • SGC system-on-chip
  • SBC single-board computer system
  • COM computer-on-module
  • SOM system-on-module
  • computer system 1900 may include one or more computer systems 1900; be unitary or distributed; span multiple locations; span multiple machines, or reside in a cloud, which may include one or more cloud components in one or more networks.
  • one or more computer systems 1900 may perform without substantial spatial or temporal limitation one or more steps of one or more methods described or illustrated herein.
  • one or more computer systems 1900 may perform in real time or in batch mode one or more steps of one or more methods described or illustrated herein.
  • One or more computer systems 1900 may perform at different times or at different locations one or more steps of one or more methods described or illustrated herein, where appropriate.
  • the processor may be, for example, a conventional microprocessor such as an Intel Pentium microprocessor or Motorola power PC microprocessor.
  • machine-readable (storage) medium or “computer- readable (storage) medium” include any type of device that is accessible by the processor,
  • the memory is coupled to the processor by, for example, a bus.
  • the memory can include, by way of example but not limitation, random access memory (RAM), such as dynamic RAM (DRAM) and static RAM (SRAM).
  • RAM random access memory
  • DRAM dynamic RAM
  • SRAM static RAM
  • the memory can be local, remote, or distributed.
  • the bus also couples the processor to the non-volatile memory and drive unit.
  • the non-volatile memory is often a magnetic floppy or hard disk, a magnetic-optical disk, an optical disk, a read-only memory (ROM), such as a CD-ROM, EPROM:, or EEPROM, a magnetic or optical card, or another form of storage for large amounts of data. Some of this data is often written, by a direct memory access process, into memory during execution of software in the computer 1900.
  • the non-volatile storage can be local, remote, or distributed.
  • the non-volatile memory is optional because systems can be created with all applicable data available in memory.
  • a typical computer system will usually include at least a processor, memory, and a device (e.g., a bus) coupling the memory to the processor.
  • Software is typically stored in the non-volatile memory and/or the drive unit.
  • a software program is assumed to be stored at any known or convenient location (from non-volatile storage to hardware registers) when the software program is referred to as “implemented in a computer-readable medium.”
  • a processor is considered to be “configured to execute a program” when at least one value associated with the program is stored in a register readable by the processor.
  • the bus also couples the processor to the network interface device.
  • the interface can include one or more of a modem or network interface. It will be appreciated that a modem or network interface can be considered to be part of the computer system 1900.
  • the interface can include an analog modem, isdn modem, cable modem, token ring interface, satellite transmission interface (e.g. "direct PC"), or other interfaces for coupling a computer system to other computer systems.
  • the interface can include one or more input and/or output devices.
  • the I/O devices can include, by way of example but not limitation, a keyboard, a mouse or other pointing device, disk drives, printers, a scanner, and other input and/or output devices, including a display device.
  • the display device can include, by way of example but not limitation, a cathode ray tube (CRT), liquid crystal display (LCD), or some other applicable known or convenient display device.
  • CTR cathode ray tube
  • LCD liquid crystal display
  • controllers of any devices not depicted in the example of FIG. 9 reside in the interface.
  • the computer system 1900 can be controlled by operating system software that includes a file management system, such as a disk operating system.
  • a file management system such as a disk operating system.
  • operating system software with associated file management system software is the family of operating systems known as Windows® from Microsoft Corporation of Redmond, Washington, and their associated file management systems.
  • WindowsTM Windows® from Microsoft Corporation of Redmond, Washington
  • LinuxTM LinuxTM operating system and its associated file management system.
  • the file management system is typically stored in the non-volatile memory and/or drive unit and causes the processor to execute the various acts required by the operating system to input and output data and to store data in the memory, including storing files on the non-volatile memory and/or drive unit.
  • the machine operates as a standalone device or may be connected (e.g., networked) to other machines.
  • the machine may operate in the capacity of a server or a client machine in a client-server network environment, or as a peer machine in a peer-to-peer (or distributed) network environment.
  • the machine may be a server computer, a client computer, a personal computer (PC), a tablet PC, a laptop computer, a set-top box (STB), a personal digital assistant (PDA), a cellular telephone, an i hone, a Blackberry, a processor, a telephone, a web appliance, a network router, switch or bridge, or any machine capable of executing a set of instaictions (sequential or otherwise) that specify actions to be taken by that machine.
  • PC personal computer
  • PDA personal digital assistant
  • machine-readable medium or machine-readable storage medium is shown in an exemplary embodiment to be a single medium, the term “machine-readable medium” and “machine-readable storage medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database 180, and/or associated caches and servers) that store the one or more sets of instructions.
  • the term “machine- readable medium” and “machine-readable storage medium” shall also be taken to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies or modules of the presently disclosed technique and innovation.
  • routines executed to implement the embodiments of the disclosure may be implemented as part of an operating system or a specific application, component, program, object, module or sequence of instructions referred to as "computer programs.”
  • the computer programs typically comprise one or more instructions set at various times in various memory and storage devices in a computer, and that, when read and executed by one or more processing units or processors in a computer, cause the computer to perform operations to execute elements involving the various aspects of the disclosure.
  • machine-readable storage media machine-readable media, or computer-readable (storage) media
  • recordable type media such as volatile and non-volatile memory devices, floppy and other removable disks, hard disk drives, optical disks (e.g., Compact Disk Read-Only Memory (CD ROMS), Digital Versatile Disks, (DVDs), etc.), among others, and transmission type media such as digital and analog communication links.
  • CD ROMS Compact Disk Read-Only Memory
  • DVDs Digital Versatile Disks
  • transmission type media such as digital and analog communication links.
  • operation of a memory device may comprise a transformation, such as a physical transformation.
  • a physical transformation may comprise a physical transformation of an article to a different state or thing.
  • a change in state may involve an accumulation and storage of charge or a release of stored charge.
  • a change of state may comprise a physical change or transformation in magnetic orientation or a physical change or tra sformation in molecular structure, such as from crystalline to amorphous or vice versa.
  • a storage medium typically may be non-transitory or comprise a non-transitory device.
  • a non-transitory storage medium may include a device that is tangible, meaning that the device has a concrete physical form, although the device may change its physical state.
  • non-transitory refers to a device remaining tangible despite this change in state.
  • the technology is capable of allowing multiple different users to use the same piece of furniture equipped with the presently disclosed technology. For example, different people can sleep in the same bed. In addition, two different users can switch the side of the bed that they sleep on, and the technology disclosed here will correctly identify which user is sleeping on which side of the bed.
  • the technology identifies the users based on any of the following signals alone or in combination: heart rate, breathing rate, body motion, or body temperature associated with each user.

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  • Health & Medical Sciences (AREA)
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  • Cardiology (AREA)
  • Physiology (AREA)
  • Pulmonology (AREA)
  • Acoustics & Sound (AREA)
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  • Hematology (AREA)
  • Anesthesiology (AREA)
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  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

L'invention concerne des procédés et des systèmes permettant de : recueillir des signaux biologiques humains, tels que la fréquence cardiaque, le rythme respiratoire, ou la température ; d'analyser les signaux biologiques humains recueillis ; et, sur la base de l'analyse, de commander une alarme.
PCT/US2016/030594 2015-05-08 2016-05-03 Système d'alarme par vibration et procédés de fonctionnement WO2016182795A1 (fr)

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CA2985452A CA2985452A1 (fr) 2015-05-08 2016-05-03 Systeme d'alarme par vibration et procedes de fonctionnement

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US201562159177P 2015-05-08 2015-05-08
US62/159,177 2015-05-08
US201562161142P 2015-05-13 2015-05-13
US62/161,142 2015-05-13
US14/732,646 US20150351556A1 (en) 2014-06-05 2015-06-05 Bed device system and methods
US14/732,646 2015-06-05
US14/946,496 US20160073950A1 (en) 2014-06-05 2015-11-19 Vibrating alarm system and operating methods
US14/946,496 2015-11-19

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US11622636B2 (en) 2014-04-21 2023-04-11 Casper Sleep Inc. Mattress
US11202517B2 (en) 2014-04-21 2021-12-21 Casper Sleep Inc. Mattress
US12053591B2 (en) 2014-06-05 2024-08-06 Eight Sleep Inc. Methods and systems for gathering and analyzing human biological signals
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US11116326B2 (en) 2017-08-14 2021-09-14 Casper Sleep Inc. Mattress containing ergonomic and firmness-regulating endoskeleton
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US11241100B2 (en) 2018-04-23 2022-02-08 Casper Sleep Inc. Temperature-regulating mattress
USD990935S1 (en) 2019-08-27 2023-07-04 Casper Sleep Inc. Mattress
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USD992933S1 (en) 2019-08-27 2023-07-25 Casper Sleep Inc. Mattress
USD993673S1 (en) 2019-08-27 2023-08-01 Casper Sleep Inc. Mattress
USD919333S1 (en) 2019-08-27 2021-05-18 Casper Sleep Inc. Mattress
USD932809S1 (en) 2019-10-16 2021-10-12 Casper Sleep Inc. Mattress layer
USD927889S1 (en) 2019-10-16 2021-08-17 Casper Sleep Inc. Mattress layer

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