EP4262553A1 - Method, monitoring device and monitoring system for detecting a person getting into and/or out of a bed - Google Patents
Method, monitoring device and monitoring system for detecting a person getting into and/or out of a bedInfo
- Publication number
- EP4262553A1 EP4262553A1 EP21835329.0A EP21835329A EP4262553A1 EP 4262553 A1 EP4262553 A1 EP 4262553A1 EP 21835329 A EP21835329 A EP 21835329A EP 4262553 A1 EP4262553 A1 EP 4262553A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- bed
- sensors
- monitoring device
- sensor
- sensor signals
- Prior art date
- Legal status (The legal status 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 status listed.)
- Withdrawn
Links
- 238000012806 monitoring device Methods 0.000 title claims abstract description 94
- 238000012544 monitoring process Methods 0.000 title claims abstract description 15
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000001514 detection method Methods 0.000 claims abstract description 79
- 230000002093 peripheral effect Effects 0.000 claims abstract description 39
- 230000036962 time dependent Effects 0.000 claims description 31
- 238000011156 evaluation Methods 0.000 claims description 29
- 230000001133 acceleration Effects 0.000 claims description 22
- 230000000694 effects Effects 0.000 description 7
- 230000000875 corresponding effect Effects 0.000 description 6
- 238000013459 approach Methods 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000000474 nursing effect Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 230000003071 parasitic effect Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1113—Local tracking of patients, e.g. in a hospital or private home
- A61B5/1115—Monitoring leaving of a patient support, e.g. a bed or a wheelchair
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6891—Furniture
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7282—Event detection, e.g. detecting unique waveforms indicative of a medical condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7246—Details of waveform analysis using correlation, e.g. template matching or determination of similarity
Definitions
- Method, monitoring device and monitoring system for detecting when a person gets into a bed and/or when the person gets out of the bed
- the invention relates to a method for detecting a person getting into a bed and/or a person getting out of the bed using at least one monitoring device for monitoring a peripheral area of the bed, the monitoring device having at least two sensors for contactless object detection in a detection area of the respective sensor and wherein the detection areas of the sensors relate to the peripheral area of the bed to be monitored jointly.
- the invention also relates to a corresponding monitoring device and a corresponding monitoring system.
- the automatic or semi-automatic detection of getting in and/or getting out of a bed is made more difficult by other activities in the peripheral area of the bed, such as hanging out a blanket or another person (for example a nurse) approaching the bed.
- the perimeter area of the bed it monitors may be part of the total perimeter of the bed or the total perimeter of the bed itself.
- CN 106994073 A describes a method for detecting when a person gets into a medical bed and/or when a person gets out of the medical bed using a monitoring device for monitoring a peripheral area that completely surrounds the bed, the monitoring device having four sensors for contactless object detection in one Having detection range of the respective sensor and wherein the detection ranges of the sensors relate to the jointly to be monitored peripheral area of the bed.
- All sensors of the monitoring device are infrared sensors (IR sensors - IR: infrared). Each of these sensors monitors one (longitudinal or transverse) side of the bed or bed frame, ie a respective section of the peripheral area. In other words, the detection areas of the individual sensors complement each other to form the peripheral area to be monitored.
- the sensor signals from different sensors are combined and the resulting combination is then evaluated.
- JP 2007020845 A for example, an infrared sensor and a pressure sensor in the mattress of the bed.
- the signals do not relate to the peripheral areas of the bed.
- the object is achieved according to the invention by the features of the independent claims.
- Advantageous refinements of the invention are specified in the dependent claims.
- entry/exit in the peripheral area of the bed to be monitored is determined by evaluating a signal combination of sensor signals from the sensors of the monitoring device, with the monitoring device at least one sensor of the at least two sensors is designed as a capacitive sensor for contactless object detection.
- a capacitive sensor is a sensor that works on the basis of the change in the electrical capacitance of an individual capacitor or a capacitor system.
- the capacitance can be influenced by the variable to be recorded in various ways, which are primarily determined by the intended use.
- the intended use is contactless object detection.
- the capacitive sensor has, for example, an electrode (measuring electrode) and an RC oscillator circuit. When an object approaches the electrode, the capacitance increases and thus influences the oscillation amplitude of the RC oscillator. Details on the structure of the monitoring device are described in connection with the description of the monitoring device according to the invention and possible configurations of this monitoring device according to the invention.
- the sensor signals to be combined do not necessarily have to come from sensors of different sensor types.
- the combination of the sensor signals from several capacitive sensors for non-contact object detection can, with an appropriate arrangement, lead to sufficient differentiation between getting in and out on the one hand and other scenes and activities in the area around the perimeter of the bed on the other. To do this, only the “viewing angles” of the capacitive sensors supplying the sensor signals to be combined and/or their detection ranges have to differ.
- At least one other of the sensors is an infrared sensor for contactless object detection.
- the combination of the sensor signals from infrared sensors and capacitive sensors for contactless object detection has also proven to be beneficial for differentiating between getting in and out on the one hand and other scenes and activities in the area around the bed perimeter on the other.
- At least one further of the sensors is designed as an acceleration sensor.
- This is used for contactless object detection by detecting a movement and/or change in movement of the person in/on the bed.
- the sensor signals from sensors of the sensor types capacitive sensor and acceleration sensor - in addition to the possibility of distinguishing between getting in/out and other scenes and activities in the area of the bed perimeter - it is also possible to reliably distinguish between a person getting in and out of the bed a person can be distinguished from the bed itself.
- the signal from the acceleration sensor gives an indication of whether the person is in direct contact with the bed in relation to the peripheral area of the bed to be monitored or is at a distance from the bed.
- the Acceleration sensor is designed in particular as a gyroscope sensor. Acceleration sensors of this type are robust, inexpensive and reliable and have already proven themselves in practice for many applications, for example in mobile phones.
- a time profile of the sensor signals of the sensors of the monitoring device is created and this time-dependent profile of the sensor signals is combined during the evaluation and the signal combination is then analyzed.
- the time-dependent progression of the sensor signals in the signal combinations can then be assigned to different scenes and activities in the area around the perimeter of the bed.
- the detection ranges of at least two of the sensors of the sensor system, whose sensor signals are combined at least partially overlap.
- the sensor signals from different sensor types are combined.
- the monitoring device for monitoring a peripheral area of a bed in order to detect when a person gets into the bed and/or when a person gets out of the bed, which has at least two sensors for contactless object detection in a detection area of the respective sensor and an evaluation unit for evaluating sensor signals of the sensors and in which the detection areas of the sensors can be related to the peripheral area of the bed to be monitored jointly, it is provided that the evaluation unit is set up to determine entry and/or exit by evaluating a signal combination of sensor signals from the sensors, wherein in the monitoring device at least one sensor of the at least two sensors is designed as a capacitive sensor for contactless object detection.
- the monitoring device is preferably a device that can be detachably mounted on the outer circumference of the bed, in particular on the bed frame of the bed, for monitoring a peripheral area of the bed in which it is mounted.
- This device has the sensors integrally, in particular in a housing.
- At least one further sensor of the sensors is designed as an infrared sensor for contactless object detection. It turned out that an infrared sensor is a good complement to the capacitive sensor.
- At least one further of the sensors is designed as an acceleration sensor.
- This is used for contactless object detection by detecting a movement and/or change in movement of the person in/on the bed.
- the acceleration sensor is designed in particular as a gyroscope sensor.
- this is set up to create a time-dependent profile of the sensor signals from its sensors and to combine this time-dependent profile of the sensor signals during the evaluation by the evaluation unit and then to analyze the combination.
- the detection ranges of at least two of the sensors, whose sensor signals are combined are at least partially overlap.
- the detection ranges of at least two of the sensors whose sensor signals are combined do not overlap.
- the monitoring device has a rear side which faces the bed when the monitoring device is installed and an opposite front side which faces away from the bed when the monitoring device is installed.
- the monitoring device has a housing and fastening elements for fastening the monitoring device to an outside of the bed in such a way that the back of the monitoring device faces the bed when the monitoring device is mounted and the opposite front side of the monitoring device faces away from the bed when the monitoring device is mounted.
- the at least one capacitive sensor for contactless object detection has an electrode, with a shielding device for shielding the electrode against capacitive influences on the rear being arranged between the electrode and the rear of the monitoring device and/or between the electrode and the front of the monitoring device there is free space.
- This free space is formed in particular by a gap, preferably an air gap, between the electrode and the front side of the monitoring device.
- the at least one capacitive sensor for contactless object detection is arranged in the housing and has an electrode, the shielding device for shielding the electrode against capacitive influences on the rear being arranged between the electrode and the rear of the monitoring device and/or the free space between the electrodes and the front of the monitoring device is present in the housing.
- the at least one acceleration sensor is arranged in particular in/on the evaluation unit. Furthermore, the evaluation unit is preferably set up to recognize, by analyzing the time-dependent profile of the sensor signals, whether a person has got into the bed or got out of the bed.
- the monitoring system according to the invention for detecting a person getting into a bed and/or a person getting out of the bed has several of the above-mentioned monitoring devices. If appropriate, such a system also has a control and evaluation unit which is superordinate to the monitoring devices and which coordinates and supplements the evaluation of the internal evaluation units of the monitoring devices.
- FIG. 1 shows a schematic representation of a bed with a mounted monitoring device according to a preferred embodiment of the invention
- FIG. 3 shows a sectional view of the assembled monitoring device according to the preferred embodiment of the invention
- 5 shows a time-dependent representation of the sensor signals of the sensors for contactless object detection when entering the bed.
- 6 shows a time-dependent representation of the sensor signals of the sensors for contactless object detection when a blanket is hung out of the bed,
- FIG. 8 shows a schematic representation of a bed with a mounted monitoring device according to a further preferred embodiment of the invention
- FIG. 1 shows a schematic representation of a bed 10 with a bed frame 12, feet 14 and a railing 16 that delimits the lying surface of the bed 10 in several areas and protects a person lying on the bed 10 from falling out of the bed 10.
- a peripheral area 18 without railing 16. Only in this peripheral area 18 is it possible to get into bed 10 or get out of bed 10 without difficulty, since railing 16 does this in the other areas with special needs.
- the bed frame is there 14 a monitoring device 20 for detecting a corresponding entry and/or exit within the peripheral area 18 is mounted.
- the monitoring device 20 has several (six in this example) sensors 22, 24 for contactless object detection in a respective detection area 26, 28 of the individual sensors 22, 24 and an evaluation unit 30 for evaluating sensor signals from the sensors 22, 24.
- the evaluation unit 30 is connected in terms of signal technology to each of the sensors 22, 24, but this is not shown in detail.
- Each of the infrared sensors 24 includes a transmitter (IR transmitter) 32, which is in the corresponding detection area 28 and a receiver (IR receiver) for receiving infrared light from the detection area 28. Details of the capacitive sensors 22 are discussed in connection with FIG.
- the peripheral area 18 is monitored by means of the monitoring device 20 in order to detect a person getting into the bed 10 and/or a person getting out of the bed 10 .
- only a single peripheral area 18 is monitored by a single monitoring device 20 since the other peripheral areas of the bed 10 are secured by the railing 16 .
- the monitoring device 20 has, in addition to the components 22, 24 discussed in connection with FIG. 30 also has a housing 38, the rear side 40 of which faces the bed 10 or bed frame 12.
- the front side 42 of the housing 38 opposite the rear side 40 accordingly points away from the bed 10 in the installed state of the monitoring device 20 . Since the housing 38 houses the other essential components 22, 24, 30 of the monitoring device 20, the front and rear 40, 42 of the housing 38 are also the front and rear 40, 42 of the monitoring device 20.
- the capacitive sensors 22 are arranged on one elongated carrier 44 above the infrared sensors 24 on the other elongated carrier 46 in the example.
- a capacitive sensor 22 is arranged above one of the infrared sensors 24 in each case.
- An essential component of the capacitive sensors 22 are the electrodes 48 in the form of electrode loops, which are clearly visible here.
- An infrared window 50 for the infrared radiation from the infrared sensors 24 is located on the front of the monitoring device 20 in front of the infrared sensors 24.
- Fig. 3 shows a sectional view of the installed monitoring device 20 transverse to the longitudinal extent of the monitoring device 20 or the series arrangements of its sensors 22, 24. While the infrared sensors 24 are placed behind the infrared window 50 close to the front 42, the electrodes 48 that of the capacitive sensors 22 is placed toward the rear 40. Between the electrodes 48 and the front side 40 there is an air gap within the housing 38 which forms a free space 54 between the respective electrode 48 and the front side. A certain (minimum) distance A is ensured between the capacitive sensors 22 on the one hand and the infrared sensors 24 on the other hand.
- FIGS. 4 to 7 show time-dependent representations of the sensor signals 56, 58 of the sensors 22, 24 for contactless object detection in typical situations at the edge 36 of the bed.
- the evaluation unit 30 evaluates the signal combination of the sensor signals 56 from the capacitive sensors 22 with the sensor signals 58 from the infrared sensors 24 .
- this can be done in pairs with the sensors 22, 24 of different sensor types arranged one below the other or with the sum of all sensors 22 of the first sensor type (all capacitive sensors 22) and the sum of all sensors 24 of the second sensor type (here: all infrared sensors 24).
- a time profile of the sensor signals 56, 58 of the sensors 22, 24 is created and used to evaluate this time-dependent profile Combined sensor signals 56, 58 and then analyzed the combination.
- FIGS. 4 to 7 now show very typical patterns of these time-dependent signal combinations.
- Fig. 4 shows a time-dependent representation of the sensor signals 56, 58 of the sensors 22, 24 for contactless object detection when a person gets out of the bed 10. There is first a continuous increase in the sensor signal 58 of the infrared sensors 24, followed by a similar continuous increase in the sensor signal 56 of the capacitive sensors 22 up to a maximum sensor signal.
- FIG. 5 shows a time-dependent representation of the sensor signals 56, 58 of the sensors 22, 24 for contactless object detection when entering the bed 10.
- FIG. 6 shows a time-dependent representation of the sensor signals 56, 58 of the sensors 22, 24 for contactless object detection when a blanket (not shown) is hung out of the bed 10.
- a blanket not shown
- the sensor signal 56 of the capacitive sensors 22 there is a continuous increase in the sensor signal 58 of the infrared sensors 24, followed by a short and significantly weaker increase in the sensor signal 56 of the capacitive sensors 22.
- the increase in the sensor signal 56 of the capacitive sensors 22 is so significantly weaker, primarily because of the air gap or free space 54.
- FIG. 7 shows a time-dependent representation of the sensor signals 56, 58 of the sensors 22, 24 for contactless object detection when there is no action in the monitored peripheral area 18 of the bed 10.
- the sensor signals 56, 58 remain relatively constant at a low level.
- the evaluation of the signal combinations of the time-dependent sensor signals 56, 58 of the sensors 22, 24 enables a reliable detection of entry into the bed 10 or exit from the bed 10 and excludes false alarms - for example by people who only approach the bed 10 - largely .
- Figure 6 shows a strong IR signal 58 due to optical occlusion, but only a slight increase in CAP signal 56 (this increase is significantly less than if a person stepped out of bed 10 - see Figure 4).
- the air gap or free space 54 does not allow the CAP signal 56 to rise too high.
- the combination of signals ensures that obscuring objects - such as blankets or clothing - do not trigger a false alarm.
- the diagonal distance A between the electrode 48 and the IR sensor 24 minimizes the parasitic capacitance caused by the IR sensor system, so that the baseline from the cap sensor 22 is increased only negligibly.
- FIG. 8 shows, analogously to FIG .
- a monitoring device 20 on bed frame 14 for detecting a corresponding entry and/or exit within peripheral area 18 assembled.
- the assembly takes place via fastening elements 60 of the monitoring device 20.
- These fastening elements 60 are designed here in the example in the form of a fastening hook.
- the monitoring device 20 has a plurality of sensors 22, 62 (four in this example) for contactless object detection and an evaluation unit 30 for evaluating sensor signals from the sensors 22, 62.
- the three IR sensors 24 that are optionally available (and are therefore only shown in dashed lines) are not considered further, but only the capacitive sensors 22 (cap sensors) with detection areas 26 and an acceleration sensor 62 with a detection area 64, which essentially covers the bed 10 (and of course also the monitoring device 20 attached thereto).
- the acceleration sensor 62 is arranged in/on the evaluation unit 30, more precisely on a circuit board of the evaluation unit 30.
- the evaluation unit 30 is connected to each of the sensors 22, 62 in terms of signals.
- the monitoring device 20 is set up to create a time profile of the sensor signals 56, 66 (shown in the following figures) from its sensors 22, 62 and to combine this time-dependent profile of the sensor signals 56, 64 during the evaluation by the evaluation unit 30 and to then analyze the combination.
- the detection areas 26, 28, 64 of all three types of sensors 22, 24, 62 relate to the peripheral area 18 of the bed 10 to be monitored together.
- the sensors 22, 24 of the capacitive sensor 22 or infrared sensor 24 type monitor the Circumferential area 18 rather the outer area of the bed 10 and the sensor 62 designed as an acceleration sensor rather the inner area of the bed 10 via the recorded vibrations.
- FIGS. 9 to 11 show time-dependent representations of the sensor signals 56, 58, 66 of the sensors 22, 24, 62 for contactless object detection in typical situations at the edge 36 of the bed.
- the infrared sensors 24 are optional, the corresponding However, sensor signal 58 of these infrared sensors 24 is shown here for the sake of completeness. It shows:
- FIG. 9 shows a time-dependent representation of the sensor signals 56, 58, 66 of the sensors 22, 24, 62 when there is no action in the monitored peripheral area 18 of the bed 10.
- the sensor signals 56, 58, 66 remain relatively constant at a low level.
- FIG. 10 shows a time-dependent representation of the sensor signals 56, 58, 66 of the sensors 22, 24, 62 for contactless object detection with a blanket hanging out of the bed 10 (not shown).
- the increase or course of the sensor signal 56 of the capacitive sensors 22 is significantly weaker than that of the infrared sensor 24, primarily because of the air gap or free space 54.
- the sensor signal 66 of the acceleration sensor 62 remains constantly at the low level, as shown in FIG.
- phase 11 shows a time-dependent representation of the sensor signals 56, 58, 66 of the sensors 22, 24, 62 for contactless object detection when entering the bed 10.
- This entry can be roughly divided into three phases: Phase I: no action, phase II: Sitting on the edge of the bed” and Phase III: Lying in bed.
- the level of sensor signal 58 of infrared sensors 24 changes, with a time delay, followed by a similar level change of sensor signal 56 of capacitive sensors 22 to a respective constant level in phase II. Only in phase III does the level change of the sensor signal 56 of the capacitive sensors 22 followed by a similar level change of the sensor signal 58 of the infrared sensors 24.
- the sensor signal 66 of the acceleration sensor 62 increases overall when entering the bed 10.
- phase II there is an increased intermediate level, which correlated with "sitting on the edge of the bed".
- the biggest level difference occurs in the sensor signal 66 of the acceleration sensor 62 between phase I and phase II. This is an abrupt increase in the level of the sensor signal 66 (abrupt level increase).
- FIG. 12 shows a time-dependent representation of the sensor signals 56, 58, 66 of the sensors 22, 24, 62 for contactless object detection when a person gets out of the bed 10.
- This exit can also be roughly divided into the three phases mentioned above: Phase I: no action, phase II: sitting on the edge of the bed and phase III: lying in bed.
- phase III there is only a change in the level of sensor signal 58 from infrared sensors 24 with a time offset, followed by a similar level change in sensor signal 56 from capacitive sensors 22 to a respective constant level in phase II.
- phase III a change in the level of the sensor signal 56 of the capacitive sensors 22 followed with a time offset by a similar level change of the sensor signal 58 of the infrared sensors 24.
- the sensor signal 66 of the acceleration sensor 62 decreases overall when getting out of the bed 10.
- phase II there is an increased intermediate level, which correlates with "sitting on the edge of the bed".
- the greatest level difference occurs in the sensor signal 66 of the acceleration sensor 62 between phase II and phase I. This is a sudden drop in the level of the sensor signal 66 (sudden drop in level).
- a Distance (capacitive sensor - infrared sensor)
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Molecular Biology (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Surgery (AREA)
- Physics & Mathematics (AREA)
- Physiology (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Invalid Beds And Related Equipment (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Geophysics And Detection Of Objects (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP20215642.8A EP4014862A1 (en) | 2020-12-18 | 2020-12-18 | Method, monitoring device and monitoring system for detecting an entry of a person into a bed and / or a person getting out of the bed |
PCT/EP2021/086597 WO2022129574A1 (en) | 2020-12-18 | 2021-12-17 | Method, monitoring device and monitoring system for detecting a person getting into and/or out of a bed |
Publications (1)
Publication Number | Publication Date |
---|---|
EP4262553A1 true EP4262553A1 (en) | 2023-10-25 |
Family
ID=73855890
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP20215642.8A Withdrawn EP4014862A1 (en) | 2020-12-18 | 2020-12-18 | Method, monitoring device and monitoring system for detecting an entry of a person into a bed and / or a person getting out of the bed |
EP21835329.0A Withdrawn EP4262553A1 (en) | 2020-12-18 | 2021-12-17 | Method, monitoring device and monitoring system for detecting a person getting into and/or out of a bed |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP20215642.8A Withdrawn EP4014862A1 (en) | 2020-12-18 | 2020-12-18 | Method, monitoring device and monitoring system for detecting an entry of a person into a bed and / or a person getting out of the bed |
Country Status (2)
Country | Link |
---|---|
EP (2) | EP4014862A1 (en) |
WO (1) | WO2022129574A1 (en) |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6646556B1 (en) * | 2000-06-09 | 2003-11-11 | Bed-Check Corporation | Apparatus and method for reducing the risk of decubitus ulcers |
JP2007020845A (en) | 2005-07-15 | 2007-02-01 | Nippon Telegr & Teleph Corp <Ntt> | Detecting apparatus, detecting system and detecting method for motion before leaving bed |
US8350709B2 (en) * | 2010-03-31 | 2013-01-08 | Hill-Rom Services, Inc. | Presence detector and occupant support employing the same |
EP2981211A4 (en) * | 2013-04-01 | 2016-11-16 | L & P Property Management Co | Occupancy detection for furniture |
US20150035677A1 (en) * | 2013-07-31 | 2015-02-05 | Rondish Company Limited | Bed Monitor Sensor Device |
CN106994073A (en) | 2016-01-25 | 2017-08-01 | 十堰市太和医院 | A kind of medical bed |
US11763935B2 (en) * | 2020-01-06 | 2023-09-19 | National Cheng Kung University | Care system for predicting bed exit and patient management system including the same |
-
2020
- 2020-12-18 EP EP20215642.8A patent/EP4014862A1/en not_active Withdrawn
-
2021
- 2021-12-17 EP EP21835329.0A patent/EP4262553A1/en not_active Withdrawn
- 2021-12-17 WO PCT/EP2021/086597 patent/WO2022129574A1/en unknown
Also Published As
Publication number | Publication date |
---|---|
WO2022129574A1 (en) | 2022-06-23 |
EP4014862A1 (en) | 2022-06-22 |
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