Sleeping or reclining furniture, analyzing unit for a sensor of sleeping or reclining furniture, and method for analyzing signals of a sensor
The invention relates to an analyzing unit ( 9 ′) for connecting to at least one sensor ( 12 ) which can be coupled to sleeping or reclining furniture in order to detect vibrations, movement, and/or sound. The analyzing unit ( 9 ′) is designed to process and analyze the signals of the at least one sensor ( 12 ) and detect physiological parameters (P) of a person using the sleeping or reclining furniture, and the analyzing unit ( 9 ′) is designed to transmit data to or exchange data with at least one external component. The invention further relates to a method for analyzing signals of at least one such sensor ( 12 ) and to sleeping or reclining furniture, in particular a bed ( 1 ), comprising at least one such sensor ( 12 ).
1. An analyzing unit for connection to a sensor, which can be coupled to a sleeping or reclining furniture to detect vibration, movement, and/or sound, said analyzing unit being configured
to process and analyze a signal generated by the sensor,
to detect a physiological parameter of a person using the sleeping or reclining furniture, and
to transmit data reflective of the detected physiological parameter to an external component, said external component being a component of a building automation system, wherein items of information of the analying unit which relate to a present sleep state are relayed to the component of the building automation system to control at least electrical, mechanical, or thermal installations.
2. The analyzing unit of claim 1 , configured to transmit the data to or to exchange the data with an external mass storage unit.
3. The analyzing unit of claim 2 , wherein the external mass storage unit is a cloud.
4. The analyzing unit of claim 1 , further configured to exchange the data with the component of the building automation system.
5. The analyzing unit of claim 1 , configured to transmit the data to or to exchange the data with a control unit of an electric motor furniture drive.
6. The analyzing unit of claim 5 , constructed for integration into the control unit of the electric motor furniture drive.
7. The analyzing unit of claim 1 , configured to transmit the data to or to exchange the data with a mobile device.
8. The analyzing unit of claim 1 , comprising a filter, in particular a lowpass filter or a bandpass filter, for signal processing.
9. The analyzing unit of claim 1 , comprising a storage unit for buffering a time curve of the physiological parameter.
10. The analyzing unit of claim 1 , comprising a transmission unit for a wireless data transmission, in particular via a WLAN or Bluetooth transmission link.
11. A method for analyzing signals of a sensor, which is coupled to sleeping or reclining furniture to detect vibration, movement, and/or sound, said method comprising:
detecting sensor data generated by the sensor at a first repetition frequency;
analyzing the sensor data in a local analyzing unit and ascertaining a physiological parameter at a second repetition frequency, which is less than the first repetition frequency; and
transmitting the ascertained physiological parameter to an external component which is further remote from the sensor than the analyzing unit.
12. The method of claim 11 , wherein the detected physiological parameter is a heart rate, a respiratory rate, a movement behavior, and/or a snoring behavior of at least one person.
13. The method of claim 11 , wherein the physiological parameter is buffered in the local analyzing unit in the form of time curves, before being transferred to the external component.
14. The method of claim 13 , further comprising:
extracting in a sleeping period sleep states and time proportions of the sleep states from the time curves in the local analyzing unit; and
transmitting the sleep states and the time proportions of the sleep states to the external component.
15. A sleeping or reclining furniture, in particular a bed, comprising:
a sensor configured to detect vibration, movement, and/or sound; and
an analyzing unit connected to the sensor and configured to process and analyze a signal generated by the sensor, to detect a physiological parameter of a person using the sleeping or reclining furniture, and to transmit data reflective of the detected physiological parameter to an external component,
said sleeping or reclining furniture being configured to execute a method as set forth in claim 11 .
16. The sleeping or reclining furniture of claim 15 , wherein the analyzing unit is configured to transmit the data to or to exchange the data with an external mass storage unit as the external component.
17. The sleeping or reclining furniture of claim 16 , wherein the external mass storage unit is a cloud.
18. The sleeping or reclining furniture of claim 15 , wherein the analyzing unit is configured to transmit the data to or to exchange the data with a component of a building automation system.
19. The sleeping or reclining furniture of claim 15 , wherein the analyzing unit is configured to transmit the data to or to exchange the data with a control unit of an electric motor furniture drive.
20. The sleeping or reclining furniture of claim 19 , wherein the analyzing unit is constructed for integration into the control unit of the electric motor furniture drive.
21. The sleeping or reclining furniture of claim 15 , wherein the analyzing unit is configured to transmit the data to or to exchange the data with a mobile device.
22. The sleeping or reclining furniture of claim 15 , wherein the analyzing unit comprises a filter for signal processing, in particular a low-pass filter or a bandpass filter.
23. The sleeping or reclining furniture of claim 15 , wherein the analyzing unit comprises a storage unit for buffering a time curve of the physiological parameter.
24. The sleeping or reclining furniture of claim 15 , wherein the analyzing unit comprises a transmission unit for a wireless data transmission, in particular via a WLAN or Bluetooth transmission link.