TWI782346B - Telemedicine-assisted system and operation method thereof - Google Patents

Abstract

The present disclosure relates to a telemedicine-assisted system, which includes an image generating module, an information extracting module, and a communication module. The image generating module is configured to generate at least a portion of a human body diagram having a plurality of coordinates. The information extracting module is configured to extract an examinee's physiological information corresponding to one coordinate of the plurality of coordinates and associate the physiological information with the coordinate corresponding to the physiological information. The communication module is configured to transfer the physiological information and the coordinate. The present disclosure also relates to a method for operating the telemedicine-assisted system.

Description

Telemedicine assistance system and operation method thereof

The invention relates to a remote medical assistance system and its operating method.

In the traditional medical system, if the subject wants to be tested, he must go to a medical institution (such as a hospital or clinic) for registration, queuing and testing in person. However, after the test is completed, the subject usually cannot get the test result immediately, but needs to go to the medical institution to register again to get or listen to the test result. This is quite inconvenient for the examinee. In addition, for medical institutions, it also increases the demand for manpower.

An embodiment of the present disclosure relates to a remote medical assistance system, including an image generation module, an information retrieval module, and a communication module. The image generating module is configured to generate at least a portion of a human body map with a plurality of coordinates. The information retrieval module is configured to retrieve a physiological information of a subject corresponding to one of the plurality of coordinates, and associate the physiological information with the coordinate corresponding to the physiological information. The communication module is configured to transmit the physiological information and the coordinates.

One embodiment of the present disclosure relates to the operation method of a remote medical assistance system A method comprising generating a human body map having at least a part of a plurality of coordinates, and extracting a physiological information of a subject corresponding to one of the plurality of coordinates, and combining the physiological information with the physiological information The corresponding coordinates are associated. The operation method also includes sending the physiological information and the coordinates.

1: Remote medical assistance system

10: Cloud platform

11: Peripheral devices

12: Peripheral devices

20: Steps

21: Steps

22: Steps

23: step

24: step

25: step

26: step

27: Steps

28: Steps

29: Steps

101:Image generation module

102:Information management module

103:Remote monitoring and support module

104: Processor module

105: Memory module

110: Electronic device

110a: Human Body Diagram

110b: Human Body Diagram

110c: Human Body Diagram

111:Information collection device

112: Processor module

113:Memory module

114: Communication module

115:Information retrieval module

a1: coordinates

a2: coordinates

a3: coordinates

a4: coordinates

b1: coordinates

b2: coordinates

b3: coordinates

b4: coordinates

b5: coordinates

b6: coordinates

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b10: coordinates

b11: coordinates

b12: coordinates

b13: coordinates

b14: coordinates

b15: coordinates

b16: coordinates

b17: coordinates

b18: coordinates

b19: coordinates

b20: coordinates

c1: coordinates

c2: coordinates

c3: coordinates

c4: coordinates

Various aspects of the embodiments are discussed below with reference to the drawings, which are not drawn to scale and which are merely illustrations and do not limit the scope of the invention. The reference numerals used in the drawings and the description are for illustration only, and do not limit the scope of the present invention. The same or similar components are represented by the same component symbols, wherein: Figure 1 is a schematic diagram of a remote medical assistance system according to some embodiments of the present disclosure; Figure 2 is a schematic diagram of a remote medical assistance system according to some embodiments of the present disclosure Flow chart of the operation method of the medical assistance system; FIG. 3 is a schematic diagram of the user interface of the remote medical assistance system according to some embodiments of the present disclosure; FIG. 4 is a schematic diagram of the telemedicine according to some embodiments of the present disclosure A schematic diagram of the user interface of the assistance system; and FIG. 5 is a schematic diagram of the user interface of the remote medical assistance system according to some embodiments of the present disclosure.

Referring to FIG. 1 , FIG. 1 is a schematic diagram of a remote medical assistance system 1 according to some embodiments of the present disclosure. The remote medical assistance system 1 includes a cloud platform 10 , peripheral devices 11 , and peripheral devices 12 .

The peripheral device 11 and the peripheral device 12 can be applied in any medical, nursing or nursing fields, including hospital examination rooms, outpatient departments, wards, nursing homes, long-term care centers, medical research institutions, and home care fields. Users (such as doctors, nurses, nurses, patients, etc.) can interact and/or transmit information (such as physiological information or parameters of the subject) through the peripheral device 11 , the peripheral device 12 and the cloud platform 10 .

According to some embodiments of the present disclosure, the peripheral device 11 can be used in places such as a ward, a nursing home, a long-term care center, or a home care field. Users who operate the peripheral device 11 can be doctors, nurses, nurses, examinees, patients or their family members. According to some embodiments of the present disclosure, the peripheral device 12 can be used in places such as hospital examination rooms, outpatient departments, or medical research institutions. The user who operates the peripheral device 12 may be a doctor or the like. In terms of operation, the user can use the peripheral device 11 to collect the physiological information of the subject in the ward, nursing home, long-term care center or home care field and other places and send the information to the cloud platform 10. The doctor can use the peripheral device 12 Remotely monitor or determine the physiological status of the subject. Although FIG. 1 only depicts one peripheral device 11 and one peripheral device 12 , the present disclosure is not limited thereto. In some embodiments, the remote medical assistance system 1 may include more than two peripheral devices 11 and/or more than two peripheral devices 12 .

Terms used in this disclosure, such as "system", "platform", "device", "module", etc., refer to hardware related to computers (including handheld devices, such as tablets or mobile phones, etc.) or servers. body, software, firmware, or any combination thereof. For example, the cloud platform 10 may include software executing on a computer, a computer executing the software, or both software and a computer. For example, the image generation module 101 on the cloud platform 10 may include software executed on a computer, a computer executing the software, or software and computer both. In some embodiments, computers and servers may have one or more processors configured to execute computer-executable instructions stored in memory, and processors may include electronic integrated circuits that apply electrical signals to perform logical operations circuit.

The peripheral device 11 may include an electronic device 110 and an information collection device 111 . The electronic device 110 may include a processor module 112 , a memory module 113 , a communication module 114 , and an information retrieval module 115 .

In some embodiments, the processor module 112 , the memory module 113 , the communication module 114 , and the information retrieval module 115 can be integrated so that a single electronic device 110 can realize all their functions. In some embodiments, the processor module 112 , the memory module 113 , the communication module 114 , and the information retrieval module 115 can be dispersed in several devices, and all functions thereof can be realized by a plurality of devices. For example, the communication module 114 can be independent from the electronic device 110 , and the electronic device 110 can be coupled to the communication module 114 and use the functions of the communication module 114 .

In some embodiments, the electronic device 110 and the information collection device 111 can be integrated into a single device. In some embodiments, one or more of the processor module 112 , the memory module 113 , the communication module 114 , and the information retrieval module 115 can be integrated with the information collection device 111 . For example, the information retrieval module 115 can be integrated on the information collection device 111 .

In some embodiments, the electronic device 110 may include a mobile device, such as a mobile phone, a smart phone, a pager, and a personal digital assistant (PDA). In some embodiments, the electronic device 110 may include computers, such as desktop computers, laptop computers, and tablets.

In some embodiments, the electronic device 110 may include an input device and an output device. The input device can allow the user to operate or control the peripheral device 11 . In some embodiments, the input device may include a mouse, trackball, arrow keys, or other possible input devices. The output device can present information to the user, generate feedback for the user's operation, notify the user, and so on. In some embodiments, the output device may include a display screen, a speaker, a warning light, or other possible output devices. In some embodiments, the display screen can display a graphical user interface (graphical user interface, GUI), or other interfaces that allow the user to interact with the peripheral device 11 . A GUI can include display objects (eg, notification windows, icons, input fields, drop-down menus, etc.) that can be selected by a user for interaction. For example, the user can select by touching the area where the displayed object is located through the touch display screen of the electronic device 110 . For example, the user can operate the cursor to select the displayed object through a mouse, a trackball, and direction keys. In some embodiments, the display screen can be integrated on the electronic device 110 . In some embodiments, the GUI can also be presented through a display screen independent of the electronic device 110 .

Further, the user interface of the peripheral device 11 may include the human body diagram 110 a shown in FIG. 3 , the human body diagram 110 b shown in FIG. 4 , and/or the human body diagram 110 c shown in FIG. 5 . The human body diagram 110a, the human body diagram 110b, and the human body diagram 110c include at least a part of the human body diagram. The human body diagram 110a, the human body diagram 110b, and the human body diagram 110c have a plurality of coordinates, and these coordinates are marked with letters and numbers in the figures. In some embodiments, the coordinates can be marked in other ways, such as symbols, colors and so on.

In some embodiments, the user of the peripheral device 11 can select the desired user interface according to his needs. For example, when the user of the peripheral device 11 needs to collect heart sounds , it can select the human body diagram 110a as the user interface through the peripheral device 11 . In some embodiments, the user interface of the peripheral device 11 may include a human body diagram displaying other human body parts and marking at least a part of the coordinate positions, not limited to the human body diagram 110a, the human body diagram 110b, and the human body diagram 110c. In addition, the user of the peripheral device 11 can select the coordinates marked on the human body diagram 110 a , the human body diagram 110 b , and the human body diagram 110 c according to his needs. For example, the user can mark coordinates on positions not marked with coordinates in the figure, and obtain corresponding physiological information.

Each coordinate on the human body diagram 110 a , the human body diagram 110 b , and the human body diagram 110 c corresponds to different functional positions or anatomical positions of human organs, and may have corresponding physiological information. For example, the coordinates a1 , a2 , a3 , and a4 of the human body diagram 110 a respectively correspond to the aortic auscultation area, the pulmonary artery auscultation area, the tricuspid valve auscultation area, and the mitral valve auscultation area. In some embodiments, the physiological information at different coordinates (ie, different parts) may be different from each other. For example, the heart sound obtained at the human body position corresponding to coordinate 1 of the human body diagram 110 a may be different from the heart sound obtained at the human body position corresponding to coordinate 2 of the human body diagram 110 a. For example, different heart sounds may have different waveforms, wavelengths, amplitudes, frequencies, etc. Different heart sounds (for example, the first heart sound, the second heart sound, the third heart sound, and the fourth heart sound) can be obtained by synthesizing the information of each coordinate, so as to further determine abnormal heart sounds.

For example, coordinates b1, coordinates b2, coordinates b3, coordinates b4, coordinates b5, coordinates b6, coordinates b7, coordinates b8, coordinates b9, coordinates b10, coordinates b11, coordinates b12, coordinates b13, coordinates b14, coordinates b15 of the human body diagram 110b , coordinates b16, coordinates b17, coordinates b18, coordinates b19, and coordinates b20 can correspond to different functional positions or anatomical positions (for example, including midclavicular line, anterior axillary line, midaxillary line, etc.). Different breath sounds (eg, bronchial breath sounds, alveolar breath sounds, and bronchoalveolar breath sounds) can be obtained by synthesizing the information of each coordinate, so as to further determine abnormal breath sounds.

For another example, the coordinates c1, c2, c3, and c4 of the human body diagram 110c may correspond to different functional or anatomical positions of the human abdomen (for example, including the liver, gallbladder, intestines, stomach, and kidneys, etc.) (For example, including abdominal aorta site, renal artery site, and iliac artery site, etc.). The information of each coordinate can be combined to obtain different sounds (for example, bowel sounds, quaking sounds, blood vessel murmurs, and friction rubs in the liver and spleen area), so as to further determine abnormal sounds.

Referring back to FIG. 1, in some embodiments, the information collection device 111 may include a stethoscope, a photographic device, a recording device, an electrocardiogram machine, a heart rhythm and blood pressure machine, a physiological monitor (physiologic monitor), other equipment that can collect physiological information, or the aforementioned Combination of equipment. The user of the peripheral device 11 can collect the physiological information of the subject, such as heart sounds, lung sounds, bowel sounds, etc., through the information collection device 111 . During operation, the user can select a desired human body diagram as a user interface, click on a certain coordinate, and use the information collection device 111 to collect physiological information corresponding to the coordinate. In some embodiments, the user of the peripheral device 11 may also be guided by the user of the peripheral device 12 to collect physiological information corresponding to a certain coordinate. In some embodiments, the peripheral device 11 can also automatically guide the user of the peripheral device 11 to collect physiological information corresponding to a certain coordinate, for example, instruct the user of the peripheral device 11 through an output device.

In some embodiments, the information retrieval module 115 is configured to retrieve physiological information from the information collection device 111 , and correlate, link, or combine the physiological information with its corresponding coordinates. For example, the information retrieval module 115 can combine physiological information with The corresponding coordinates form a correspondence relationship. In some embodiments, the physiological information captured by the information capture module 115 may include video, image, audio, electronic signal, or other forms, or a combination of the above forms. In some embodiments, the physiological information and the coordinates can be transmitted to the electronic device 110 through wireless communication (eg, short-distance communication technology) or wired communication and retrieved by the information retrieval module 115 .

In some embodiments, the short-distance communication technology may include radio wave (Radio wave) transmission, radio frequency (Radio Frequency, RF) signal transmission, infrared data transmission (IrDA). In some embodiments, the short-range communication technology may include near-field communication (Near-Field Communication, NFC), Bluetooth (Bluetooth), wireless area network 802.11 (Wi-Fi), ZigBee, ultra-wideband (Ultra WideBand), digital Signal cellular network (such as 3G mobile network, 4G mobile network, 5G mobile network) and other standards or technologies that can realize wireless communication. In some embodiments, the physiological information collected by the information collection device 111 can also be transmitted to the electronic device 110 through a wired communication technology (for example, through a transmission line connecting the electronic device 110 and the information collection device 111 ) and then transmitted by the information retrieval module 115 retrieved.

In some embodiments, the communication module 114 is configured to transmit information (including physiological information collected by the information collection device 111 and retrieved by the information retrieval module 115 ) from the electronic device 110 to the cloud platform 10 . In some embodiments, the user of the peripheral device 12 can obtain the information collected by the user of the peripheral device 11 by connecting to the cloud platform 10 .

In some embodiments, the communication module 114 is configured to transmit information (including physiological information collected by the information collection device 111 and retrieved by the information retrieval module 115) from the electronic device 110 to the peripheral device 12 without using Through the cloud platform 10 . exist In some embodiments, the communication module 114 can use long-distance communication technology (such as Wi-Fi or 3G mobile network, 4G mobile network, 5G mobile network, etc.) to transmit information to the cloud platform 10 . In some embodiments, the information can also be temporarily stored in the memory module 113 of the electronic device 110, and then sent to the cloud platform 10 when the communication module 114 is connected to Wi-Fi. In some embodiments, the communication module 114 may include a cloud gateway, or other hardware or software for uploading data. In some embodiments, the communication module 114 can be configured to provide one-way or two-way data or information transmission.

In some embodiments, the processor module 112 is configured to execute computer-executable instructions stored in the memory module 113 . In some embodiments, the computer-executable instructions stored in the memory module 113 may include computer-executable instructions for operating the information collection device 111 , the information retrieval module 115 , and/or the communication module 114 . In some embodiments, the computer-executable instructions stored in the memory module 113 may include computer-executable instructions for executing the process shown in FIG. 2 (which will be described later with reference to FIG. 2 ).

For example, the processor module 112 is configured to determine whether the physiological information captured by the information capturing module 115 is clear, sufficient, or correct based on the reference physiological information. For example, when the difference between the physiological information and the reference physiological information is too large (for example, the waveform, wavelength, amplitude, and/or frequency of the heart sound exceeds a threshold range), the peripheral device 11 can issue warnings through warning lights, warning sounds, notification windows, etc. Notify the user. For example, the processor module 112 is configured to automatically guide the user of the peripheral device 11 to collect physiological information through warning lights, warning sounds, notification windows, and the like.

The peripheral device 12 may have the same or similar configuration and functions as the peripheral device 11 . Peripheral device 12 may include electronic devices, which may include processor modules, memory module, communication module, and information retrieval module. In some embodiments, the peripheral device 12 may also include an information collection device. During operation, the user of the peripheral device 12 (such as a doctor) can command the user of the peripheral device 11 through the peripheral device 12, and can remotely monitor or judge the physiological condition of the subject according to the data captured by the peripheral device 11.

The cloud platform 10 may include an image generation module 101 , a data management module 102 , a remote monitoring and support module 103 , a processor module 104 , and a memory module 105 .

In some embodiments, the cloud platform 10 can include a software-defined environment, which can achieve a single software interface management of several modules. In some embodiments, the cloud platform 10 may include any infrastructure. In some embodiments, one or more of the image generation module 101, the data management module 102, the remote monitoring and support module 103, the processor module 104, and the memory module 105 can be integrated to form A single device performs all its functions, or it may be distributed among several devices.

In some embodiments, the cloud platform 10 can be integrated in the peripheral device 11 . In some embodiments, the cloud platform 10 can be integrated in the peripheral device 12 . For example, one or more of the image generation module 101, the data management module 102, the remote monitoring and support module 103, the processor module 104, and the memory module 105 can be integrated into the electronic device of the peripheral device 12 middle.

In some embodiments, the image generating module 101 is configured to generate a human body map, such as a human body map 110a, a human body map 110b, and a human body map 110c. In some embodiments, the human body map generated by the image generation module 101 can be sent to the peripheral device 11 and presented to the user of the peripheral device 11 through the display screen.

In some embodiments, the data management module 102 is configured to store information in the memory module 105 of the cloud platform 10 (including information collected through the peripheral device 11 Physiological information) category. In some embodiments, the information can be classified by coordinates, subject information (such as gender, age, height, weight, etc.) and so on. In some embodiments, the classified information can be further processed to determine abnormal information and generate reference physiological information. In some embodiments, the reference physiological information can be fed back to the peripheral device 11 to assist the user of the peripheral device 11 to collect the physiological information.

In some embodiments, the remote monitoring and support module 103 is configured to provide remote monitoring and support of the peripheral device 11 . For example, the user of the peripheral device 12 can monitor the collection and/or storage process of the physiological information of the peripheral device 11 synchronously through the remote monitoring and support module 103 . For example, in response to a request from the peripheral device 12, the remote monitoring and support module 103 can be configured to generate an alert on the peripheral device 11 to instruct the user of the peripheral device 11 to collect and/or store physiological information of a certain coordinate.

In some embodiments, the processor module 104 is configured to execute computer-executable instructions stored on the memory module 105 . In some embodiments, the computer-executable instructions stored in the memory module 105 may include computer-executable instructions for operating the image generation module 101 , the data management module 102 , and/or the remote monitoring and support module 103 . In some embodiments, the computer-executable instructions stored in the memory module 105 may include computer-executable instructions for executing the process shown in FIG. 2 (which will be described later with reference to FIG. 2 ).

In some embodiments, the cloud platform 10 may further include modules having one or more functions, not limited to the modules depicted in FIG. 1 . For example, the cloud platform 10 can add other modules according to the needs of users.

The telemedicine assistance system 1 can correlate physiological information with its corresponding coordinates on the human body. For example, at the position of the human body corresponding to the coordinate a1 of the human body map 110a, the heart sound can be associated with the coordinate a1 of the human body diagram 110a; the heart sound obtained at the position of the human body corresponding to the coordinate a2 of the human body diagram 110a can be associated with the coordinate a2 of the human body diagram 110a. The information associated with the coordinates can be stored on the cloud platform 10 . In some embodiments, the coordinate-correlated physiological information can be used to analyze the correlation between the position of the human body and the physiological information, thereby improving the accuracy of evaluating the condition of the subject. For example, the coordinate-correlated physiological information can help to accurately determine the location of abnormal heart sounds. In addition, the coordinate-correlated physiological information can help to standardize the obtained information and generate standardized digital objects with clinical significance.

In addition, the telemedicine assistance system 1 can assist users to collect clear, accurate, adequate and standardized physiological information. For example, when the heart sound obtained at the position of the human body corresponding to the coordinate a1 of the human body diagram 110a is not clear or the time is not long enough for judgment or analysis, the remote medical assistance system 1 can automatically or respond to the peripheral device 12 The user's request is notified (for example, through the output device of the electronic device 110 ) to the user of the peripheral device 11 to collect the information of the coordinate a1 again. For example, in some embodiments, the peripheral device 11 can automatically determine whether the physiological information is clear, sufficient, or correct, and automatically notify the user. In some embodiments, the user of the peripheral device 12 can simultaneously monitor the collection and/or storage process of the physiological information of the peripheral device 11, and generate an alert through the peripheral device 11 to instruct the user of the peripheral device 11 to collect and/or Store the physiological information of a certain coordinate.

The telemedicine assistance system 1 can generate clear instructions to help users collect physiological information. In this way, anyone can use the telemedicine assistance system 1 to collect correct, sufficient, and standardized physiological information and send it to professionals for further investigation. Instant judgment or analysis. Therefore, the telemedicine assistance system 1 can help to reduce the Reduce the frequency of hospital visits and reduce training costs for professionals.

FIG. 2 is a flowchart of the operation method of the remote medical assistance system according to some embodiments of the present disclosure. In some embodiments, the flowchart of the operation method in FIG. 2 may be a flowchart of the operation method of the remote medical assistance system 1 .

In step 20, the remote medical assistance system generates a human body map, such as the human body map 110a shown in FIG. 3 . During operation, the telemedicine assistance system can generate a body map in response to the user's selection. The user can click a certain coordinate on the human body map, and use the information collection device (such as the information collection device 111 ) to collect physiological information corresponding to the coordinate. In some embodiments, a telemedicine assistance system may generate a coordinate notification. For example, the electronic device 110 can notify the user to collect physiological information of a certain coordinate through the output device.

In step 21, the telemedicine assistance system retrieves physiological information and associates the physiological information with its corresponding coordinates. For example, after the user uses the information collection device 111 to collect physiological information, the information retrieval module 115 can retrieve the physiological information and associate it with the corresponding coordinates.

In step 22 , the telemedicine assistance system determines whether the retrieved physiological information is clear, sufficient, or correct based on the reference physiological information. In some embodiments, each coordinate of the body map may have its own reference physiological information. For example, the remote medical assistance system captures the heart sound associated with the coordinate a1 of the human body diagram 110a, and uses the reference heart sound at the coordinate a1 of the human body diagram 110a to determine whether the captured heart sound is clear, sufficient, or correct.

In some embodiments, the reference physiological information can be preset by the user. For example, the user can first set the reference heart sound and human body diagram at the coordinate a1 of the human body diagram 110a. The reference heart sound at the coordinate a2 of 110a, the reference heart sound at the coordinate a3 of the human body diagram 110a, and the like. In some embodiments, the remote medical assistance system can adjust and optimize the reference physiological information after removing the abnormal physiological information in step 29, thereby improving the accuracy of the remote medical assistance system.

In step 23, when the telemedicine assistance system determines that the difference between the retrieved physiological information and the reference physiological information is too large (for example, the waveform, wavelength, amplitude, and/or frequency of the heart sound exceeds a threshold range), it can warn and notify the user. In step 24, the user can choose whether to collect physiological information again, and if yes, the telemedicine assistance system returns to step 21 to retrieve and correlate the physiological information again. If not, go to step 25.

In step 25, the telemedicine assistance system stores physiological information. For example, the communication module 114 can transmit the captured physiological information to the cloud platform 10 and then store it in the memory module 105 . In some embodiments, the information can be temporarily stored in the memory module 113 first. In some embodiments, the communication module 114 can transmit the captured physiological information to another peripheral device (such as the peripheral device 12 ).

In step 26, the telemedicine assistance system repeats the above steps 20 to 25 until the physiological information corresponding to all or part of the coordinates is stored. For example, in some embodiments, when the physiological information of a certain coordinate is collected, retrieved, and stored, the electronic device 110 may notify the user to collect the physiological information of the next coordinate until sufficient physiological information is stored. In some embodiments, the notification sequence of the electronic device 110 can assist the user to collect physiological information in a correct and standardized sequence.

In step 27, the telemedicine assistance system classifies the physiological information by coordinates or subject information (such as gender, age, height, weight, etc.). For example, the A set of heart sounds is generated corresponding to the collection of heart sounds obtained at the position of the human body at coordinate a1 of the human body diagram 110 a , and another group of heart sounds is generated by collecting the collection of heart sounds obtained at the position of the human body corresponding to coordinate a2 of the human body diagram 110 a . For example, heart sounds of subjects of the same age are aggregated to generate a set of heart sounds.

In some embodiments, the same set of physiological information can be obtained from the same subject, or from a plurality of different subjects. In some embodiments, a set of physiological information can be further divided into several subsets of subject information.

For example, a certain coordinate of the same subject can obtain a plurality of different heart sounds at different times. Collecting heart sounds at a certain coordinate of the same subject at different times helps to accurately determine the location of abnormal heart sounds.

For example, a plurality of different heart sounds can be obtained from a certain coordinate of different subjects, and the heart sounds can be further classified according to the sex, age, height, weight, etc. of the subjects. By collecting more heart sounds and feeding them back to the telemedicine assistance system in step 22, the telemedicine assistance system can more accurately determine whether the captured physiological information is clear, sufficient, or correct in step 22.

In some embodiments, the physiological information of the same group may have similar waveforms, wavelengths, amplitudes, frequencies, etc. In some embodiments, the physiological information of the same group may be physiological information whose waveform, wavelength, amplitude, and/or frequency are within a certain threshold range. In some embodiments, the reference physiological information may include a waveform of a threshold range, a wavelength of a threshold range, an amplitude of a threshold range, and/or a frequency of a threshold range. In some embodiments, the reference physiological information can be generated by analyzing the physiological information using a statistical analysis model, such as regression model, time series prediction model, cluster analysis, correlation analysis, factor analysis, or other feasible statistical analysis models.

In step 28 , the telemedicine assistance system determines whether certain physiological information is abnormal based on various types of reference physiological information. For example, the first group of heart sounds corresponding to the coordinate a1 of the human body diagram 110a may have a first reference heart sound, and the second group of heart sounds corresponding to the coordinate a2 of the human body diagram 110a may have a second reference heart sound. The remote medical assistance system can determine whether a certain heart sound obtained at the position of the human body corresponding to the coordinate a1 of the human body diagram 110a is abnormal based on the first reference heart sound, and determine whether the heart sound corresponding to the coordinate a2 of the human body diagram 110a is abnormal based on the second reference heart sound. Whether a certain heart sound obtained from the position of the human body is abnormal. In some embodiments, abnormal physiological information may include physiological information whose waveform, wavelength, amplitude, and/or frequency exceed a threshold range.

In step 29, the telemedicine assistance system eliminates abnormal physiological information to adjust and optimize the reference physiological information. For example, the adjusted and optimized reference physiological information can be fed back to the electronic device 110 , so that the telemedicine assistance system can more accurately and standardizedly determine whether the captured physiological information is clear, sufficient, or correct in step 22 .

It will be appreciated that embodiments of the systems and methods discussed herein are not limited to details of construction and/or configuration described herein or depicted in the drawings, but may be practiced or carried out in various ways. The specific embodiments herein are illustrative only and are not intended to limit the invention.

Also, the phraseology and terminology used herein are exemplary only and are not intended to limit the invention. The singular or plural forms are illustrative only and are not intended to limit the system or method, elements, components, or steps thereof of the present invention. As used herein, "comprises," "including," "having," "comprising," "involving," and other similar terms encompass the items listed thereafter, equivalents, and additional items. "Or" and other similar terms may be deemed to indicate any one of the items described.

1: Remote medical assistance system

10: Cloud platform

11: Peripheral devices

12: Peripheral devices

101:Image generation module

102:Information management module

103:Remote monitoring and support module

104: Processor module

105: Memory module

110: Electronic device

111:Information collection device

112: Processor module

113:Memory module

114: Communication module

115:Information retrieval module

Claims (18)

A remote medical assistance system, comprising: an image generating module configured to generate at least a part of a human body map, wherein the at least part of the human body map has a first coordinate and a second coordinate; a processing a device module configured to generate a first alert for retrieving a first physiological information of a subject corresponding to the first coordinate; an information retrieval module configured to automatically guide the subject to retrieve fetching the first physiological information and associating the first physiological information with the first coordinate; and a communication module configured to transmit the first physiological information and the first coordinate; wherein the processor module is further configured to: determine whether the first physiological information is sufficient or correct based on a reference physiological information; and if the first physiological information is insufficient or incorrect, generate and retrieve a first coordinate of the subject corresponding to the first coordinate 2. A second warning of physiological information. The remote medical assistance system as described in Claim 1, further comprising: a memory module configured to store the first physiological information and the first coordinates; and an information collection device configured to collect the examined The first physiological information of the person. The remote medical assistance system as described in Claim 2, wherein the information collection device includes at least one of a stethoscope, a photographic device, a recording device, an electrocardiogram machine, a heart rhythm and blood pressure machine, and a physiological monitor. The remote medical assistance system as described in claim 2, wherein the information acquisition module and the communication module The group is integrated in the information collection device. The remote medical assistance system as described in Claim 1, wherein the processor module is further configured to: classify a plurality of physiological information according to a plurality of coordinates including the first coordinate and the second coordinate, and create a A category file, the category file includes a sub-category file composed of the plurality of pieces of physiological information corresponding to the first coordinate. The remote medical assistance system as described in claim 5, wherein the processor module is further configured to: analyze the waveforms, wavelengths, and at least one of amplitude and frequency, and generate the reference physiological information, wherein the reference physiological information includes at least one of a waveform of a threshold range, a wavelength of a threshold range, an amplitude of a threshold range, and a frequency of a threshold range one. The telemedicine assistance system as described in claim 5, wherein the processor module is further configured to: analyze waveforms, wavelengths, amplitudes, and frequencies of a plurality of physiological information of different subjects in the subcategory file at least one, and generate the reference physiological information, wherein the reference physiological information includes at least one of a waveform in a threshold range, a wavelength in a threshold range, an amplitude in a threshold range, and a frequency in a threshold range. The remote medical assistance system as described in claim 1, wherein the first coordinate and the second coordinate correspond to Different functional locations or different anatomical locations in one of the heart, lungs, and intestines. The remote medical assistance system as described in claim 1, wherein the remote medical assistance system is further configured to: standardize the first physiological information and the second physiological information. The remote medical assistance system as claimed in claim 9, wherein the remote medical assistance system is further configured to: generate standardized digital objects with clinical significance. An operation method of a remote medical assistance system, the following steps are carried out after computer-executable instructions are loaded into a computer: generating at least a part of a human body map, wherein the at least part of the human body map has a first coordinate and a first Two coordinates; generate a first warning for retrieving a subject's first physiological information corresponding to the first coordinate; automatically guide the subject to retrieve the first physiological information, and send the first physiological information and the first coordinate; transmit the first physiological information and the first coordinate; determine whether the first physiological information is sufficient or correct based on a reference physiological information; and if the first physiological information is insufficient or incorrect, then A second alert for retrieving a second physiological information of the subject corresponding to the first coordinate is generated. According to the operation method described in claim 11, the following steps are further performed after loading computer-executable instructions into the computer: storing the first physiological information and the first coordinates. According to the operation method described in claim item 11, the following steps are further performed after computer executable instructions are loaded into the computer: according to the plurality of coordinates including the first coordinate and the second coordinate, the plurality of physiological information are classified, and a A category file, the category file includes a sub-category file composed of the plurality of pieces of physiological information corresponding to the first coordinate. According to the operation method described in claim 13, the following steps are further performed after the computer is loaded with computer-executable instructions: analyzing the waveforms, wavelengths, and at least one of amplitude and frequency, and generate the reference physiological information, wherein the reference physiological information includes at least one of a waveform of a threshold range, a wavelength of a threshold range, an amplitude of a threshold range, and a frequency of a threshold range one. In the operation method described in claim 13, the following steps are further performed after the computer is loaded with computer-executable instructions: analyzing waveforms, wavelengths, amplitudes, and frequencies of a plurality of physiological information of different subjects in the subcategory file at least one, and generate the reference physiological information, wherein the reference physiological information includes at least one of a waveform in a threshold range, a wavelength in a threshold range, an amplitude in a threshold range, and a frequency in a threshold range. The operation method according to claim 11, wherein the first coordinates and the second coordinates correspond to different functional positions or different anatomical positions of one of heart, lung, and intestine. According to the operation method described in claim 11, the following steps are further performed after loading computer-executable instructions into the computer: standardizing the first physiological information and the second physiological information. According to the operation method described in claim 17, the following steps are further performed after computer-executable instructions are loaded into the computer: generating standardized electronic objects with clinical significance.

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