TWI696459B - Eye rehabilitation system - Google Patents

Abstract

An eye rehabilitation system is provided. The system includes a pillow and a computing apparatus. The pillow is disposed with pressure sensors, a controller and a communication transmitter. The pressure sensors sense external force applied on the pillow, and the pressure sensors are disposed on positions corresponding to face of user laying on the pillow. The controller generates pressure value according to sensing value in response to the external force. The communication transmitter transmits pressure value. The computing apparatus evaluates face laying rehabilitation situation (such as position, posture, and length of time) according to the pressure value. The doctor can monitor rehabilitation situation remotely. After collecting and analyzing data of multiple patients, a best posture and length of time could be provided.

Description

Eye rehabilitation system

The invention relates to a rehabilitation monitoring technology, and in particular to an eye rehabilitation system.

Retinal detachment surgery is a very complicated operation, and its surgical operation position is located in the deepest part of the eye, so it has a considerable risk. Even if the operation is successfully completed, the patient still has to undergo a long rehabilitation process before the peeled omentum can be attached back to the cell layer. Whether the patient follows the doctor's instructions to let the face lie on the face as much as possible to facilitate rehabilitation, has been a problem for doctors. (1) Is the patient lying on his stomach? (2) The position and posture of the patient's face lying down; (3) How long does it lie down each time or every day? Etc. are all important factors that affect the outcome of rehabilitation. It can be seen that if the patient's rehabilitation process can be effectively monitored or tracked, it will not only help the patient to recover, but also help the doctor to diagnose and provide advice.

In view of this, the present invention provides an eye rehabilitation system, which can effectively control And track the patient's rehabilitation posture and time, and analyze the best rehabilitation posture and time suitable for different patients based on big data.

The eye rehabilitation system of the present invention includes at least one pillow and a computing device. Each pillow is equipped with at least one pressure sensor, controller and communication transmitter. The pressure sensor is used to sense the external force applied to the pillow, and its setting position is located at a corresponding position where the user's face lies on the pillow. The controller is coupled to the pressure sensor and obtains the pressure value according to the pressure sensor's response to the sensed value of the external force. The communication transmitter is coupled to the controller and transmits the pressure value. The computing device evaluates the rehabilitation of the user's face on the basis of the pressure value.

Based on the above, the eye rehabilitation system of the embodiment of the present invention senses the patient's use of the pillow (eg, position, posture, time of use, etc.) through the pressure sensor installed on the pillow, and then determines whether the patient has Prone, prone position and posture, and rehabilitation time, and then based on more patient data to evaluate customized rehabilitation procedures suitable for different patients.

In order to make the above-mentioned features and advantages of the present invention more obvious and understandable, the embodiments are specifically described below and described in detail in conjunction with the accompanying drawings.

1: Eye rehabilitation system

10: Pillow

20: computing device

30: background host

F: face

110: pressure sensor

130: controller

150: Communication transmitter

S310~S350: Steps

I1: Green light

I2: yellow light

I3: Red light

210: display

FIG. 1 is a schematic diagram of an eye rehabilitation system according to an embodiment of the invention.

FIG. 2 is a schematic diagram illustrating an example of a user using a pillow.

3 is a flowchart of a method for monitoring eye rehabilitation according to an embodiment of the invention.

FIG. 4 is a schematic diagram of an example, showing a face rehabilitation situation through the interface.

FIG. 1 is a schematic diagram of an eye rehabilitation system 1 according to an embodiment of the invention. Referring to FIG. 1, the eye rehabilitation system 1 includes at least but not limited to one or more pillows 10, one or more computing devices 20, and a back-end host 30.

The pillow 10 is a pillow of any material or type and is intended for the user to lie down. For example, at least a part of the user's face F (for example, cheek, forehead, chin, etc.) shown in FIG. 2 faces the pillow 10. In this embodiment, the pillow 10 is equipped with one or more pressure sensors 110, a controller 130, and a communication transmitter 150.

The pressure sensor 110 may be a capacitive sensor, a resistive sensor, a piezoelectric sensor, an electromagnetic sensor, or other types of pressure sensors Device, or a combination of the aforementioned sensors, the pressure sensor 110 is used to sense the external force exerted on the pillow 10 by an object or object (eg, a patient's face). For example, the piezoelectric pressure sensor 110 changes the resistance value in response to the applied external force.

It is worth noting that the position of the pressure sensor 110 is located at the corresponding position where the user's face lies on the pillow 10. In order to evaluate the user's prone position and posture, the pressure sensor 110 must be designed in the position where the pillow 10 is installed. For example, the pillow 10 shown in FIG. 1 has a hollow structure, so that the user's eyes and nose are not squeezed by the pillow 10 and feel uncomfortable. Six pressure sensors 110 may be provided on one side of the pillow 10 (the side on which the user lies) and around the hollow structure. When the user is shown in Figure 2 When lying down, the user's cheeks and forehead will correspond to these pressure sensors 110. It should be noted that FIG. 1 is only an example, and the number and position of the pressure sensors 110 can be adjusted according to requirements.

The controller 130 is coupled to the pressure sensor 110. The controller 130 may be a microcontroller, a programmable controller, a chip, a special application integrated circuit, other similar components, or a combination of the foregoing components. In this embodiment, the controller 130 can analyze and process the sensing data obtained by the pressure sensor 110, which will be described in detail in subsequent embodiments.

The communication transmitter 150 is coupled to the controller 130, and the communication transmitter 150 may be a wireless communication transmitter such as Bluetooth, Wi-Fi, infrared, etc., or a Universal Serial Bus (USB), Thunderbolt (Thunderbolt), Universal asynchronous receiver/transmitter (Universal Asynchronous Receiver/Transmitter, UART) and other wired transmission interfaces are used to send the relevant data processed by the controller 130 to the outside world (ie, external devices) after processing the sensing data.

The computing device 20 may be an electronic device such as a desktop computer, a notebook computer, a smart phone, a tablet computer, etc., which has at least a processor, a receiver corresponding to the communication transmitter 150, and a memory to obtain data from the communication transmitter 150 data, and analyze and evaluate these data accordingly, the details of which will be explained in the following examples.

The back-end host 30 may be any type of server, desktop computer, workstation, or other electronic device, which has at least a processor, a communication module corresponding to the computing device 20, and a memory to obtain data from the computing device 20, and According to the analysis and evaluation of these materials, the detailed content will be explained in the following examples. It should be noted that in this embodiment, the computing device 20 and the background host 30 are divided into two independent devices. However, in other embodiments, the two devices 20, 30 can also be integrated into one device.

In order to facilitate understanding of the operation process of the embodiment of the present invention, a number of embodiments will be given below to describe in detail the monitoring process for eye rehabilitation in the embodiment of the present invention. Hereinafter, the methods described in the embodiments of the present invention will be described with various devices, components, and modules in the eye rehabilitation system 1. The various processes of the method can be adjusted according to the implementation situation, and it is not limited to this.

3 is a flowchart of a method for monitoring eye rehabilitation according to an embodiment of the invention. Referring to FIG. 3, assume that the user is lying on the pillow 10 (for example, as shown in FIG. 2), and each pressure sensor 110 provided on the pillow 10 can sense the external force applied to the pillow 10 (for example, the user’s The force applied by the head to the pillow 10) (step S310).

Each pressure sensor 110 transmits the sensing value that reflects the external force to the controller 130. Then, the controller 130 will obtain the pressure value according to the sensed values (step S330). Specifically, according to the sensing technology of the pressure sensor 110, the controller 130 quantizes the analog sensing value into the pressure value in different ways. For example, assume that the pressure sensor 110 is piezoelectric, and the controller 130 has an analog-to-digital converter built in to convert the voltage output from the pressure sensor 110 from 0 to 5 volts to a value from 0 to 1023. The controller 130 then responds to changes in resistance under different applied external forces, and then corresponds to different pressure values, and uses this as the standard for measuring data.

Next, the communication transmitter 150 transmits the pressure value obtained by the controller 130 to the computing device 20, and the computing device 20 can evaluate the rehabilitation of the user's face on the basis of the pressure value (step S350).

In one embodiment, the face-up rehabilitation situation may be the user's lying down Is the posture (and position) correct? The computing device 20 determines whether the pressure value of all or part of the pressure sensors 110 is greater than the pressure threshold. If the pressure value of all or part of the pressure sensors 110 is greater than the pressure threshold, the computing device 20 determines that the user's prone sleeping position is correct. If the pressure value is not greater than the pressure threshold value, the computing device 20 determines that the user's lying posture is incorrect.

In order to let the user know whether his posture is correct, the computing device 20 may additionally provide a display (for example, a liquid crystal display (LCD), a light emitting diode (LED) display, or an organic light emitting diode (Organic Light Emitting Diode, OLED) display) to present the user interface. The computing device 20 can present the difference between the pressure value and the pressure threshold value (eg, reached, not reached, gap value, etc.) corresponding to each pressure sensor 110 on the interface.

For example, FIG. 4 is an example of presenting a face-up rehabilitation situation through an interface. Referring to FIG. 4, the indicator 210 corresponding to the six pressure sensors 110 shown in FIG. 1 is displayed on the display 210 of the computing device 20. In order to reduce noise interference, the computing device 20 can regard the first 5% of the pressure value corresponding to the pressure sensor 110 as noise, that is, the value is 0 to 50 (assuming the quantization level is 0 to 1023), then the indicator light shows a red light I3; The pressure value ranges from 5% to 30%, that is, the value is 51 to 307, the indicator light shows yellow light I2: The pressure value is greater than 30% (ie, the pressure threshold), that is, the value is 308 to 1023, then The indicator light shows green light I1.

When the pillow is not touched, the corresponding pressure values of all the pressure sensors 110 are within the designed noise range, that is, the display 210 displays all the indicators as red lights. When the user's position is correct, the pressure sensor 110 can sense To the external pressure (external force), these indicators may show a combination of yellow, yellow and green, or green. If the user's head is placed on a specific side, as shown in FIG. 4, it can be seen from the display 210 that only the pressure sensor 110 on the corresponding side receives the external force. With this, the user can easily judge and observe whether his lying position and posture are correct.

It should be noted that, according to different design requirements, the size of the aforementioned pressure threshold and the manner of presenting the difference may be different. For example, it directly displays the difference value from the pressure threshold value, and the circle symbol indicates that the pressure value exceeds the pressure threshold value. Even, the computing device 20 may play instructions through the speaker (for example, the left pressure value is insufficient, the posture is biased to the right, etc.).

In another embodiment, the face-up rehabilitation situation includes the length of rehabilitation time. The computing device 20 can determine the length of the user's rehabilitation time according to the duration of the pressure value obtained by the controller 130. The computer mechanism for the duration may be that when the pressure value corresponding to a specific position or a specific number of pressure sensors 110 exceeds the recording threshold, the controller 130 counts or accumulates time (short time (eg, 1 second, 3 seconds, etc.)) Interruptions are tolerable). In addition, the controller 130 may preset or manually set the time threshold, and after the duration of the day or the current exceeds the recording threshold, prompt the user through the display or the speaker that the length of the rehabilitation time has reached the standard. If the duration of the current day or the current time does not exceed the recording threshold, the controller 130 may prompt the user through the display or the speaker that the length of the rehabilitation time has not yet reached the standard.

The aforementioned rehabilitation situation on the face can not only be fed back to the user in real time, but can also be further reported to the back-end host 30 such as a doctor or hospital, allowing the doctor to act as a diagnosis Basis for evaluation. In addition to tracking for a single user, embodiments of the present invention can also apply the technology of big data analysis to collect and analyze the usage and corresponding medical records of most users. It is worth noting that most patients follow the doctor's instructions in the prone position and the length of time for rehabilitation. However, most doctors’ recommendations are based on their own experience, and there is no optimal posture and length of rehabilitation time that is correct or applicable to each patient.

The back-end host 30 of the embodiment of the present invention can also record the pressure value and the corresponding rehabilitation time length corresponding to the pillows 10 of several users to the historical database (which can be built-in, external, or wireless or wired Communication technology connection). This historical database stores the pressure values of the pillows 10 and the corresponding rehabilitation time recorded for several days. The back-end host 30 can be based on the medical records corresponding to each user (for example, medical conditions (for example, fundus photography), recovery, medical history, etc.) and the data recorded in this historical database (that is, corresponding pressure values and rehabilitation Time length, or data of rehabilitation course) to evaluate the best posture and the best length of time for rehabilitation. For example, the background host 30 will be based on machine learning (Machine Learning) algorithms (for example, Artificial Neural Network (ANN), Markov Chain, Support Vector Machine (SVM), etc.). The recovery success and failure results and the data recorded by the pillow 10 are used as input, and an evaluation model is constructed after the error range converges (for example, an expert system for evaluating eye rehabilitation). The back-end host 30 can determine the optimal posture and the length of rehabilitation time for different patients through the evaluation model.

In summary, the eye rehabilitation system according to an embodiment of the present invention provides a pillow equipped with a pressure sensor to sense the patient's usage and judge by the sensed value The user's prone position, posture and length of rehabilitation. The aforementioned information can be provided to the user for understanding during or after the rehabilitation process, and can also be transmitted back to the physician to facilitate tracking the patient's eye condition. In addition, through a large amount of data collection and analysis, it can further infer the best posture and the best length of rehabilitation for different patients, which can help patients recover.

Although the present invention has been disclosed as above by the embodiments, it is not intended to limit the present invention. Any person with ordinary knowledge in the technical field can make some changes and modifications without departing from the spirit and scope of the present invention. The scope of protection of the present invention shall be subject to the scope defined in the appended patent application.

S310~S350: Steps

Claims (5)

An eye rehabilitation system, comprising: at least one pillow, each of which is equipped with: at least one pressure sensor for sensing the external force applied to the at least one pillow, and its placement position is on the user's face The controller lies on the corresponding position on the at least one pillow; a controller is coupled to the at least one pressure sensor and obtains at least one pressure value based on the at least one pressure sensor reacting to the sensed value of the external force And a communication transmitter coupled to the controller and transmitting the at least one pressure value; and a computing device to evaluate the rehabilitation of the user's face on the basis of the at least one pressure value. The eye rehabilitation system as described in item 1 of the patent application, wherein the face rehabilitation situation includes whether the user's prone sleeping position is correct, and the computing device determines all or part of at least one pressure sensor Whether the pressure value is greater than a pressure threshold; if the at least one pressure value is greater than the pressure threshold, the computing device determines that the user's prone lying position is correct; if the at least one pressure value is not greater than the pressure threshold, then The computing device determines that the user's lying posture is incorrect. The eye rehabilitation system as described in item 1 of the patent application range, wherein the computing device includes a display, and the display presents the difference between the at least one pressure value and a pressure threshold. The eye rehabilitation system as described in item 1 of the patent application, wherein the face rehabilitation situation includes the length of the rehabilitation time, and the computing device determines the user's rehabilitation according to the duration of the at least one pressure value The length of time. The eye rehabilitation system as described in item 4 of the patent application scope, wherein the at least one pillow includes a plurality of pillows, and the eye rehabilitation system further includes: a back-end host that applies at least one pressure value of the pillows and The corresponding rehabilitation time length is recorded in a historical database, wherein the historical database stores at least one pressure value corresponding to the pillows recorded for multiple days and the corresponding rehabilitation time, and the background host is based on multiple medical records and the historical data The data recorded in the library evaluate the best posture and the best length of rehabilitation time.

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