TW201411543A - Remote real-time health pre-warning care system - Google Patents

Abstract

A remote real-time health pre-warning care system is, suitable for remote monitoring of a user's physiological signals in real time and issuing an early warning when it is detected that user's physiological signals are abnormal. The system includes a physiological sensing device, a mobile device, and a remote server. The physiological sensing device is used for sensing a physiological signal from user's body out and sending out the sensed physiological signals. The mobile device is used to receive and transmit physiological signals transmitted from the physiological sensing device. The remote server is used for receiving the physiological signals transmitted from the mobile devices and determining whether the user's physiological signals are abnormal. If the user's physiological signals are abnormal, the remote server will sends a warning message to be displayed on the mobile device.

Description

Remote real-time health warning system

The invention relates to a care system, in particular to a remote instant health warning and care system.

As technology becomes more developed, people become more aware of the types of diseases. As long as the necessary ambulance measures are taken immediately in the event of illness, the condition can often be controlled at the first time, but not every disease can be immediately and properly rescued if it is present, for example, if there is no warning. Physiological diseases such as heart disease.

Therefore, if the relevant ambulance action cannot be taken immediately at the moment of the patient's illness, the risk of the patient's loss of life will be greatly enhanced. However, most of the current medical equipment is not portable. In order to monitor patients at any time, it is only possible to arrange the patient to monitor the physiological signals in the hospital bed, but usually the patient is not willing to stay in the hospital bed before the onset of the disease. For the patient, staying in the restricted bed activity space will cause inconvenience in the operation, and for the hospital, in order to monitor the patient who does not know when the disease will be arranged, the bed will be inefficiently limited. Distribute medical resources in medical equipment and limited space.

In view of this, it is necessary to seek a solution to the problems related to diseases that cannot be early warning and are likely to occur at any time.

Accordingly, it is an object of the present invention to provide a remote immediate health warning system.

Therefore, the remote instant health warning and care system of the present invention is suitable for remotely monitoring a physiological signal of a user at a remote end, and performing an early warning when detecting that the physiological signal of the user is abnormal. The system includes a physiological sensing device, a mobile device, and a remote server.

The physiological sensing device includes a sensing module and a transmitting module, wherein the sensing module is configured to instantly sense the physiological signal from the user, and the transmitting module is configured to use the sensing module The sensed physiological signal is transmitted outward.

The mobile device is used by the user and includes a processing module, a first communication module, a second communication module, and a display module, the first communication module is configured to receive the physiological sensing The physiological signal transmitted by the transmission module of the device is transmitted to the processing module for processing, and the processing module is configured to process the physiological signal and transmit the processed physiological signal to the second communication module, the second The communication module is configured to receive the physiological signal transmitted by the processing module and transmit the physiological signal to the outside.

The remote server includes a transceiver module, a determination module, and an early warning processing module, and the transceiver module is configured to receive a physiological signal transmitted by the second communication module of the mobile device, and the determination module The warning processing module is configured to generate a warning message when the physiological signal of the user is abnormal, and transmit the warning message to the action by the transceiver module. The second communication module of the device displays the warning message on the display module of the mobile device.

The foregoing and other technical content, features and effects of the present invention are The detailed description of a preferred embodiment of the present invention will be apparent from the following description.

Referring to FIG. 1 , a preferred embodiment of the remote instant health warning and care system of the present invention is suitable for remotely monitoring a physiological signal of a user, and performing an early warning when an abnormality of the physiological signal of the user is detected. The system includes a physiological sensing device 1, a mobile device 2, and a remote server 3.

The physiological sensing device 1 includes a sensing module 11 and a transmitting module 12 . In the preferred embodiment, the sensing module 11 can be disposed on the user.

The mobile device 2 includes a processing module 21, a first communication module 22, a second communication module 23, a display module 24, and a positioning navigation module 25. In the preferred embodiment, the mobile device 2 is used by the user, and the mobile device 2 is a smart phone, but not limited thereto, and can also be a tablet computer. Notebook (NoteBook), or personal digital assistant (PDA).

The remote server 3 includes a transceiver module 31, a determination module 32, and an early warning processing module 33. The determination module 32 has a feature extraction unit 321 and a state analysis unit 322. In the preferred embodiment, the remote server 3 can be set up in an emergency or ambulance center set up by an official or private institution, but not limited thereto, and used to provide an early warning when an abnormal physiological signal is detected.

The sensing module 11 of the physiological sensing device 1 is configured to instantly sense the physiological signal from the user. In the preferred embodiment, the physiological signal It can be the immediate sensing information of body temperature, pulse, electrocardiogram signal, sympathetic/parasympathetic activity balance index (LF/HF), but it is not limited to this, it can also be blood sugar, blood pressure and so on.

The transmitting module 12 of the physiological sensing device 1 is configured to transmit the physiological signals sensed by the sensing module 11 outward. In the preferred embodiment, the transmitting module 12 can transmit the physiological signal by wireless or wired transmission.

The first communication module 22 of the mobile device 2 receives the physiological signal transmitted by the transmission module 12 of the physiological sensing device 1 and transmits the physiological signal to the processing module 21 for processing.

In the preferred embodiment, the first communication module 22 can receive the physiological signals transmitted by the transmission module 12 through wireless or wired transmission technologies.

When the first communication module 22 wirelessly receives the physiological signal, the transmission module 12 of the physiological sensing device 1 can be a Bluetooth transmission module, and the first communication module 22 is a The Bluetooth communication module is not limited thereto, and the transmission module 12 and the first communication module 22 may also use Near Field Communication (NFC), ZigBee, or RFID.

When the first communication module 22 receives the physiological signal by wire, the transmission module 12 of the physiological sensing device 1 is a universal serial bus (USB) transmission module. The first communication module 22 of the mobile device 2 is a universal serial bus communication module, but not limited thereto, and a universal asynchronous transceiver (UART) can also be used.

The processing module 21 of the mobile device 2 is configured to process the physiological signal and The processed physiological signal is transmitted to the second communication module 23 and the display module 24, and the display module displays 24 the physiological signal. In the preferred embodiment, the processing module 21 is equipped with an Android operating system, but not limited thereto, and may be an operating system such as iOS, bada OS, MeeGo, Palm OS, WebOS, or Symbian.

The second communication module 23 of the mobile device 2 is configured to receive the physiological signal transmitted by the processing module 21 and transmit the physiological signal to the outside. In the preferred embodiment, the second communication module 23 of the mobile device 2 can be a mobile communication module or a wireless local area network communication module.

When the second communication module 23 is the mobile communication module, the physiological signal of the user is transmitted to the remote server 3 on the Internet through the mobile communication network. The standards used by the mobile communication network may be CDMA2000, WCDMA, TD-SCDMA, WiMAX, LTE, etc., but are not limited thereto.

When the second communication module 23 is the wireless area network communication module, the user's physiological signal is transmitted to the remote server 3 on the Internet through the wireless area network. The wireless local area network may be Wi-Fi, but not limited thereto.

The transceiver module 31 of the remote server 3 is configured to receive the physiological signal transmitted by the second communication module 23 of the mobile device 2.

The determining module 32 of the remote server 3 is configured to determine whether an abnormality occurs in the physiological signal of the user. In the preferred embodiment, when the physiological signal is an electrocardiogram signal, the feature capturing unit 321 of the determining module 32 is configured to extract a plurality of feature parameters from the electrocardiogram signal.

For example, referring to FIG. 2, the P, Q, R, S, T', and T systems respectively represent several most important waveforms in the electrocardiogram signal, wherein there are nine such characteristic parameters, respectively H_QR, H_RS, W_QRS, W_QRST, W_RR, Slope_QR, Slope_RS, Area_QRS, Area_R'ST', the meaning of their representation is as follows:

The state analyzing unit 322 of the determining module 32 is configured to The levy parameter and a state parameter group pre-trained according to a statistical model in an offline training phase determine whether the ECG signal is abnormal. For example, the ECG signal abnormality usually comes from arrhythmia, mandrel shift, atrial hypertrophy, myocardial necrosis, abnormal myocardial repolarization and the like.

Referring to FIG. 3, in the preferred embodiment, the offline training phase is a training data source MIT-BIH for the research of arrhythmia provided by the Massachusetts Institute of Technology; and the statistical model is a discrete hidden Markov model (Discrete) Hidden Markov Model, DHMM).

The offline training phase is a program that is pre-executed by the remote server 3 according to the training data, as follows: First, as shown in step 41, the remote server 3 takes MIT-BIH offline training data. One is substituted into a random initial DHMM model.

Define λ = ( A , B , π ): DHMM model, where A : state transition probability matrix; B : output probability matrix of each state; π : initial state probability vector.

Next, as shown in step 42, the remote server 3 quantizes the feature parameters in the training material into a codebook.

Next, as shown in step 43, the remote server 3 calculates a probability P ( O | ) of generating an observation sequence O = { o ₁ , o ₂ , ..., o _T } in each DHMM model λ . λ).

In the preferred embodiment, the remote server 3 is supplemented by a Forward Algorithm to calculate the probability of the observation sequence O , which is calculated by those skilled in the art, and is therefore known here. Do not repeat them.

Next, as shown in step 44, the remote server 3 calculates the optimal state sequence of each training data through a Viterbi Algorithm.

Next, as shown in step 45, the remote server 3 updates the parameters A, B, π in the DHMM model λ . The update calculation method is well known to those skilled in the art, so it will not be described here.

Next, as shown in step 46, the remote server 3 determines whether all offline training materials have been trained. If not, return to step 42; if yes, proceed to step 47.

As shown in step 47, the remote server 3 determines whether the parameters A, B, π in the DHMM model λ have converged. Convergence when the parameters A, B, and π are the same as the previous training values. Conversely, when the parameters A, B, π and the previous training values are different, the process returns to step 43 until the parameters A, B, and π converge.

Therefore, after the offline training phase ends, a state parameter group corresponding to the electrocardiogram model representing different heart diseases can be obtained, so that the state analyzing unit 322 can calculate the probability of the feature parameters and the state parameter group. It is determined whether the received instant electrocardiogram signal is abnormal, and it is even further known which aspect of the heart disease.

Referring to FIG. 1, in addition to the analysis of the electrocardiogram signal, the determination module 32 can determine the body temperature, the sympathetic/parasympathetic activity balance index (LF/HF), and whether the intrinsic heart rate is normal.

Wherein, when the sensing module 11 of the physiological sensing device 1 senses the user When the body temperature exceeds 37 degrees, the determination module 32 determines that the body temperature is abnormal.

Alternatively, when the sensing module 11 of the physiological sensing device 1 senses that the sympathetic/parasympathetic activity balance index LF/HF of the user is greater than 3, the determining module 32 determines that the sympathetic/parasympathetic activity balance index is abnormal. .

Alternatively, when the sensing module 11 of the physiological sensing device 1 senses that the intrinsic heart rate of the user is greater than “(200-user age) times/minute” or less than “50 times/minute”, then the determination mode is Group 32 determines that the number of heartbeats is abnormal.

The warning processing module 33 of the remote server 3 is configured to generate a warning message when the physiological signal of the user is abnormal, and transmit the warning message to the mobile device 2 by the transceiver module 31. The communication module 23 displays the warning message on the display module 24 of the mobile device 2. In the preferred embodiment, the alert message is a short message (SMS), but is not limited thereto, and may also be a push message.

The positioning and navigation module 25 of the mobile device 2 is configured to automatically locate the current location of the mobile device 2 and the nearby hospital adjacent to the current location of the mobile device 2 when the second communication module 23 receives the warning message. A navigation path of the display module 24 corresponding to the current location of the mobile device 2 and a hospital nearby thereof. In the preferred embodiment, the navigation path is generated by the user through the location navigation module 25 after confirming or replying to the alert message. Further, the second communication module 23 transmits a message confirmation notification corresponding to the acknowledged or replied alert message.

If the early warning processing module 33 of the remote server 3 transmits the warning message The alert processing module 33 uses the positioning navigation module 25 of the mobile device 2 when the message confirmation notification returned from the second communication module 23 of the mobile device 2 is not received within a predetermined time period. The transmitted navigation path corresponding to the current location of the mobile device 2 and the hospital nearby thereof, and the warning message is provided to a nearby hospital adjacent to the user, and then the nearby hospital can receive the warning message and the navigation path. An ambulance is assigned to the current location of the user for ambulance. In the preferred embodiment, the predetermined time is 1 minute, but not limited thereto.

In addition, the second communication module 23 of the mobile device 2 can transmit the navigation path of the current location and the hospital nearby to the early warning processing module 33, and can also transmit the contact information of the preset emergency contact person. To the early warning processing module 33, the early warning processing module 33 can further provide the user-related care information to the emergency contact person.

In summary, the present invention achieves the function of monitoring the physiological signals of the user and providing early warning by the mutual cooperation and operation between the modules of the physiological sensing device 1, the mobile device 2, and the remote server 3. Therefore, regardless of the location of the user, when the physiological signal is abnormal, the physical condition and the current position of the user can be grasped at the first time, so that the object of the present invention can be achieved.

The above is only the preferred embodiment of the present invention, and the scope of the invention is not limited thereto, that is, the simple equivalent changes and modifications made by the scope of the invention and the description of the invention are All remain within the scope of the invention patent.

1‧‧‧ Physiological sensing device

11‧‧‧Sensor module

12‧‧‧Transmission module

2‧‧‧Mobile devices

21‧‧‧Processing module

22‧‧‧First Communication Module

23‧‧‧Second communication module

24‧‧‧ display module

25‧‧‧ Positioning Navigation Module

3‧‧‧Remote Server

31‧‧‧ transceiver module

32‧‧‧Determining module

321‧‧‧Character extraction unit

322‧‧‧State Analysis Unit

33‧‧‧Warning Processing Module

41~47‧‧‧Steps

1 is a block diagram showing a preferred embodiment of the remote instant health warning and care system of the present invention; FIG. 2 is a schematic diagram showing some characteristic parameters in one of the electrocardiogram signals in the preferred embodiment; A flow chart illustrating the flow performed in one of the offline training phases of the preferred embodiment.

1‧‧‧ Physiological sensing device

11‧‧‧Sensor module

12‧‧‧Transmission module

2‧‧‧Mobile devices

21‧‧‧Processing module

22‧‧‧First Communication Module

23‧‧‧Second communication module

24‧‧‧ display module

25‧‧‧ Positioning Navigation Module

3‧‧‧Remote Server

31‧‧‧ transceiver module

32‧‧‧Determining module

321‧‧‧Character extraction unit

322‧‧‧State Analysis Unit

33‧‧‧Warning Processing Module

Claims (9)

A remote instant health warning and care system is suitable for remotely monitoring a user's physiological signal and performing an early warning when the physiological signal of the user is abnormal. The system comprises: a physiological sensing device, including a a sensing module, and a transmitting module, the sensing module is configured to instantly sense the physiological signal from the user, and the transmitting module is configured to sense the physiological signal sensed by the sensing module The mobile device is used by the user and includes a processing module, a first communication module, a second communication module, and a display module. The first communication module is configured to receive The physiological signal transmitted by the transmission module of the physiological sensing device is transmitted to the processing module for processing, and the processing module is configured to process the physiological signal and transmit the processed physiological signal to the second communication module. The second communication module is configured to receive the physiological signal transmitted by the processing module and transmit the physiological signal to the outside; and a remote server, including a transceiver module, a determination module, and an early warning Processing mode The transceiver module is configured to receive a physiological signal transmitted by the second communication module of the mobile device, where the determining module is configured to determine whether the physiological signal of the user is abnormal, and the early warning processing module is configured to A warning message is generated when the physiological signal of the user is abnormal, and the warning message is transmitted to the second communication module of the mobile device by the transceiver module to display the warning message on the display module of the mobile device. . Remote immediate health warning care as described in item 1 of the scope of patent application The system, wherein the transmission module of the physiological sensing device is a Bluetooth transmission module, and the first communication module of the mobile device is a Bluetooth communication module. The remote instant health warning and care system according to claim 1, wherein the transmission module of the physiological sensing device is a universal serial bus transmission module, and the first communication module of the mobile device It is a universal serial bus communication module. According to the remote instant health warning system of claim 1, wherein the second communication module of the mobile device is a mobile communication module, and the physiological signal of the user is transmitted to the mobile communication network. The remote server on the internet. The remote instant health warning system according to claim 1, wherein the second communication module of the mobile device is a wireless area network communication module, and the user's physiological signal is transmitted through the wireless area. The network is delivered to the remote server on the Internet. The remote instant health warning system according to claim 1, wherein the mobile device further includes a positioning navigation module, and the positioning navigation module is configured to receive the warning message when the second communication module receives the warning message. The current location of the mobile device and the nearby hospital adjacent to the current location of the mobile device are automatically located to obtain a navigation path corresponding to the current location of the mobile device and the hospital nearby. According to the remote instant health warning and care system of claim 6, wherein the remote server's early warning processing module does not receive the action from the action within a predetermined time after transmitting the alert message. Loading When the second communication module returns a message confirmation notification, the positioning navigation module of the mobile device is further configured to transmit a navigation path corresponding to the current location of the mobile device and a hospital nearby thereof to the remote server. The early warning processing module further enables the early warning processing module to provide the navigation path and the warning message to a nearby hospital adjacent to the user. The remote instant health warning and care system according to claim 1, wherein the physiological signal is an electrocardiogram signal, and the determination module of the remote server has a feature extraction unit and a state analysis unit. The feature extraction unit is configured to extract a plurality of feature parameters from the ECG signal, and the state analysis unit is configured to: according to the feature parameters and a state parameter group pre-trained according to a statistical model in an offline training phase, Determine if the ECG signal is abnormal. The remote instant health warning and care system according to item 8 of the patent application scope, wherein the statistical model is a discrete hidden Markov model.