CN111565694A

CN111565694A - Intelligent wheelchair system for monitoring physiological information

Info

Publication number: CN111565694A
Application number: CN201780097965.9A
Authority: CN
Inventors: 刘伟荣; 李家鑫; 焦寅; 闫励
Original assignee: Sichuan Golden Ridge Intelligence Science and Technology Co Ltd
Current assignee: Sichuan Golden Ridge Intelligence Science and Technology Co Ltd
Priority date: 2017-12-28
Filing date: 2017-12-28
Publication date: 2020-08-21
Also published as: WO2019127249A1

Abstract

An intelligent wheelchair system for monitoring physiological information and a control method thereof, the system comprising a wheelchair body (250); a communication device (240), the communication device (240) being used for establishing communication between the inside or between the inside and the outside of the intelligent wheelchair system; a sensor (210), the sensor (210) comprising a medical monitoring sensor for acquiring physiological information of a user; the processor (220) is used for acquiring the physiological information of the user, acquired by the sensor (210), analyzing whether the physiological information of the user is within a preset safety threshold range, and controlling the intelligent wheelchair system to make an emergency response if the physiological information of the user is not within the preset safety threshold range.

Description

Intelligent wheelchair system for monitoring physiological information

Technical Field

The invention relates to an intelligent wheelchair system and a control method thereof. In particular to an intelligent wheelchair system with medical monitoring and reaction functions and a control method thereof.

Background

With the increase of the level of aging of society and the increase of the number of mobility-impaired people caused by traffic accidents, diseases, etc., the demand for the number and quality of wheelchairs is increasing. People expect that the intelligent wheelchair is not only a tool for riding instead of walking for people with mobility disabilities, but also can provide more intelligent and humanized services for the people.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides the intelligent wheelchair system with the medical monitoring and reaction functions, which can monitor the health condition of the user in real time and make corresponding emergency reaction on abnormal data.

A first aspect of the present invention provides an intelligent wheelchair system for monitoring physiological information, which may include a wheelchair body; a communication device that can be used to establish communication between the interior of the intelligent wheelchair system or between the interior and the exterior; a sensor, which may comprise a medical monitoring sensor, which may be used to collect physiological information of a user; a processor that can acquire physiological information of a user collected by the sensor; the processor can also analyze whether the physiological information of the user is within a preset safety threshold range; if the physiological information of the user is not within the preset safety threshold range, the processor can further control the intelligent wheelchair system to make an emergency response.

Optionally, the medical monitoring sensor may include a combination of one or more of the following: blood pressure measuring equipment, electrocardio monitoring equipment, blood measuring equipment, a pulse wave detector, a brain wave monitor, a heart rate detector, a blood oxygen detector, a respiration detector or a body temperature detector.

Optionally, the physiological information may include a combination of one or more of the following: blood pressure information, electrocardiogram information, blood information, pulse information, brain wave information, heart rate information, blood oxygen information, respiration information, or body temperature information.

Alternatively, a particular safety threshold range may be selected based on the physiological condition of the individual.

Optionally, the emergency response may include leveling off, shocking, moving the user away from a hazardous area, or assisting the user in taking medication.

Optionally, if the physiological information of the user is not within the preset safety threshold range, alarm information may be generated.

Optionally, the alarm information may be sent to the user, other preset personnel, or a medical service center.

Optionally, the form of the alarm information may include text, voice or image.

A second aspect of the present invention provides a control method of an intelligent wheelchair system for monitoring physiological information, which may include acquiring physiological information of a user collected by the sensor; the method may further include analyzing whether the physiological information of the user is within a preset safety threshold range; if the physiological information of the user is not within the preset safety threshold range, the method may further include controlling the intelligent wheelchair system to make an emergency response.

A third aspect of the invention provides a non-transitory computer-readable medium comprising executable instructions that, when executed by at least one processor, may implement a method that may include acquiring physiological information of a user acquired by a sensor; the method may further include analyzing whether the physiological information of the user is within a preset safety threshold range; if the physiological information of the user is not within the preset safety threshold range, the method may further include controlling the intelligent wheelchair system to make an emergency response.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only some embodiments of the invention, and it is obvious for a person skilled in the art that the invention can also be applied to other similar scenarios according to these drawings without inventive effort. Unless otherwise apparent from the context of language or otherwise indicated, like reference numerals in the figures refer to like structures and operations.

FIG. 1 is a schematic view of an intelligent wheelchair system according to some embodiments of the present application;

FIG. 2 is a schematic block diagram of a smart wheelchair in a smart wheelchair system according to some embodiments of the present application;

FIG. 3 is a schematic block diagram of a processor in the intelligent wheelchair according to some embodiments of the present application; and

FIG. 4 is a flow chart illustrating control of the intelligent wheelchair system according to some embodiments of the present application.

Detailed Description

In the following detailed description, numerous specific details of the present disclosure are set forth by way of examples in order to provide a thorough understanding of the relevant disclosure. However, it will be apparent to one of ordinary skill in the art that the present disclosure may be practiced without these specific details. In other instances, well known methods, procedures, systems, components, and/or circuits have been described elsewhere at a relatively high level, which have not been described in detail in this disclosure to avoid unnecessarily repeating.

It should be understood that the use of the terms "system," "apparatus," "unit" and/or "module" in this disclosure is a method for distinguishing between different components, elements, portions or assemblies at different levels of sequence. However, these terms may be replaced by other expressions if they can achieve the same purpose.

It will be understood that when a device, unit or module is referred to as being "on" … … "," connected to "or" coupled to "another device, unit or module, it can be directly on, connected or coupled to or in communication with the other device, unit or module, or intervening devices, units or modules may be present, unless the context clearly dictates otherwise. For example, as used in this disclosure, the term "and/or" includes any and all combinations of one or more of the associated listed items.

The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of the present disclosure. As used in the specification and claims of this disclosure, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" are intended to cover only the explicitly identified features, integers, steps, operations, elements, and/or components, but not to constitute an exclusive list of such features, integers, steps, operations, elements, and/or components.

These and other features and characteristics of the present disclosure, as well as the methods of operation and functions of the related elements of structure and the combination of parts and economies of manufacture, will be better understood by reference to the following description and drawings, which form a part of this specification. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the disclosure. It will be understood that the figures are not drawn to scale.

With the accelerated aging process of society and the increasing number of people with lower limb injuries caused by various diseases, industrial injuries, traffic accidents and the like, providing a travel tool with excellent performance for the old and the disabled has become one of the important concerns of the whole society. The intelligent wheelchair has multiple functions of medical monitoring, autonomous navigation, obstacle avoidance, man-machine conversation, special service providing and the like as a service wheelchair, can provide safe and convenient life modes for disabled persons with cognitive impairment (such as dementia patients and the like), disabled persons with dyskinesia (such as cerebral palsy patients, quadriplegia patients and the like), old people and the like, greatly improves the daily life and the working quality of the disabled persons, and makes the disabled persons possible to regain the self-care ability of life and integrate into the society.

The intelligent wheelchair system in the disclosure can realize the functions of monitoring the physiological information of the user in real time, generating alarm information for abnormal data and making emergency response, monitoring data sharing and the like.

FIG. 1 is an exemplary schematic view of a smart wheelchair system 100 shown in accordance with some embodiments of the present application. The smart wheelchair system 100 may include a smart wheelchair 110, a network 120, a user device 130, and a database 140. A user may control the smart wheelchair 110 using the user device 130 through the network 120.

The smart wheelchair 110 may include a wheelchair body 250 and sensors 210. The wheelchair body 250 may include a seat 111, a backrest 112, armrests 113, wheels 114, and the like. The seat 111, back 112 and arms 113 may be used to support a user. In some embodiments, the chair back 112 may be adjusted back and forth to tilt any angle (e.g., 10 degrees, 20 degrees, 30 degrees, 60 degrees, or 90 degrees) so that the user may sit in different postures on the smart wheelchair 110. For example, the chair back 112 may be tilted back to be level with the chair seat 111, allowing the user to lie flat on the smart wheelchair 110. In some embodiments, user device 130 and/or sensor 210 may be mounted on handrail 113. For example, the user may control the traveling direction of the smart wheelchair 110 through a control panel provided on the armrest 113.

The smart wheelchair 110 and the user device 130 may establish communication. The communication between the smart wheelchair 110 and the user device 130 may be wired or wireless. For example, the smart wheelchair 110 may establish communication with the user device 130 or the database 140 via the network 120, and may wirelessly control the smart wheelchair 110 based on operational commands from the user device 130 (e.g., commands to monitor certain health indicators or movements). As another example, the smart wheelchair 110 may be directly connected to the user device 130 or the database 140 via a cable or fiber optic. In some embodiments, the smart wheelchair 110 may update or download user health data stored in the database 140 based on communications between the smart wheelchair 110 and the database 140.

The sensors 210 may include sensors capable of obtaining physiological data from a user or environment, image data, location data, and any other data that may be used by the smart wheelchair 110 to perform the various functions described in this disclosure. For example, the sensors 210 may include one or more medical sensors for acquiring physiological information of the user. In some embodiments, one or more sensors 210 may be mounted in the wheelchair body 250. More specifically, for example, one or more sensors 210 may be mounted in the seat 111, back 112, or arm rest 113. Further description of the sensors 210 and the smart wheelchair 110 can be found in fig. 2 and its associated description.

The network 120 may include any suitable network that facilitates the exchange of information and/or data in the intelligent wheelchair system 100. In some embodiments, one or more components of the smart wheelchair system 100 (e.g., the smart wheelchair 110, the user device 130, and the database 140, etc.) may communicate information and/or data with one or more other components of the smart wheelchair system 100 via the network 120. For example, the user device 130 may obtain user health data from the smart wheelchair 110 or the database 140 via the network 120. As another example, the smart wheelchair may obtain user instructions from the user device 130 via the network 120. Network 120 may be one or a combination of public networks (e.g., the internet), private networks (e.g., Local Area Networks (LANs), Wide Area Networks (WANs)), wired networks (e.g., ethernet), wireless networks (e.g., 802.11 networks, Wi-Fi networks), cellular networks (e.g., Long Term Evolution (LTE) networks), frame relay networks, virtual private networks ("VPNs"), satellite networks, telephone networks, routers, hubs, switches, server computers, and so forth. By way of example only, network 120 may include a cable television network, a cable network, a fiber optic network, a telecommunications network, an intranet, a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), Bluetooth^TMNetwork and ZigBee^TMA network, a Near Field Communication (NFC) network, or the like. In some embodiments, network 120 may include one or more network accessesAnd (4) point. For example, the network 120 may include wired and/or wireless network access points, such as base stations and/or internet exchange points, through which one or more components of the intelligent wheelchair system 100 may exchange data and/or information by connecting to the network 120. For example, the user may send control operations from the user device 130 to the smart wheelchair 110 and receive results via the network 120. The intelligent wheelchair 110 may access information stored in the database 140 directly or via the network 120.

The user device 130 may be one of or any combination of a mobile device 130-1, a tablet computer 130-2, a laptop computer 130-3, a built-in device 130-4, and the like. In some embodiments, the mobile device 130-1 may include one or any combination of a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, and the like. In some embodiments, the user may control the smart wheelchair 110 through a wearable device, which may include one or any combination of a smart bracelet, smart glasses, a smart helmet, a smart watch smart accessory, and the like. In some embodiments, the smart mobile device may include one or any combination of a smart phone, a Personal Digital Assistant (PDA), a gaming device, a navigation device, and the like. In some embodiments, the virtual reality device and/or the augmented reality device may include one or any combination of a virtual reality helmet, virtual reality glasses, a virtual reality patch, an augmented reality helmet, augmented reality glass, augmented reality eyewear, and the like. For example, the virtual reality device and/or augmented reality device may include Google Glass, Oculus Rift, HoloLens, Gear VR, and the like. In some embodiments, the built-in device 130-4 may include a vehicle-mounted computer, a vehicle-mounted television, or the like.

In some embodiments, the user device 130 may be a device having a positioning technology that locates the position of the user and/or the user device 130 associated with the user. For example, the location of the smart wheelchair 110 may be obtained through the user device 130. In some embodiments, the user device 130 may be a device with image capture capabilities. In some embodiments, the user device 130 may be part of the smart wheelchair 110. In some embodiments, user device 130 may act as a sensor to detect information. In some embodiments, the user device 130 may also serve as a communication interface for the user of the smart wheelchair 110. For example, the user may touch a screen of the user device 130 to select a control operation of the smart wheelchair 110.

Database 140 may store data, instructions, and/or any other information. In some embodiments, the database 140 may store data obtained from the user device 130 and/or the smart wheelchair 110. In some embodiments, the database 140 may store data and/or instructions that the smart wheelchair 110 may perform or use to perform the exemplary methods described herein. In some embodiments, database 140 may include one or a combination of mass storage, removable storage, volatile read-write memory, read-only memory (ROM), and the like. Exemplary mass storage devices may include magnetic disks, optical disks, solid state drives, and the like. Exemplary removable memory may include flash drives, floppy disks, optical disks, memory cards, compact disks, magnetic tape, and the like. Exemplary volatile read and write memories can include Random Access Memory (RAM). Exemplary RAM may include Dynamic RAM (DRAM), double-data-rate synchronous dynamic RAM (DDR SDRAM), Static RAM (SRAM), thyristor RAM (T-RAM), zero-capacitance RAM (Z-RAM), and the like. Exemplary ROMs may include Mask ROM (MROM), Programmable ROM (PROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), compact disk ROM (CD-ROM), digital versatile disk ROM, and the like. In some embodiments, database 140 may be implemented on a cloud platform. By way of example only, the cloud platform may include one or a combination of private clouds, public clouds, hybrid clouds, community clouds, distributed clouds, inter-cloud, multi-cloud, and the like.

In some embodiments, the database 140 may be in communication with one or more other components in the smart wheelchair system 100 (e.g., the smart wheelchair 110, the user device 130) by connecting to the network 120. One or more components of the intelligent wheelchair system 100 may access data or instructions stored in the database 140 via the network 120. In some embodiments, the database 140 may be directly connected to or in communication with one or more other components in the smart wheelchair system 100 (e.g., the smart wheelchair 110, the user device 130). In some embodiments, the database 140 may be part of the smart wheelchair 110.

It should be noted that the smart wheelchair control system 100 described above is merely intended to describe one example of a particular embodiment of the system and is not intended to limit the scope of the present disclosure.

FIG. 2 is a block diagram of an exemplary smart wheelchair 110 in the smart wheelchair system 100 shown in accordance with some embodiments of the present application. The smart wheelchair 110 may include sensors 210, a processor 220, a memory 230, a communication device 240, and a wheelchair body 250. The sensors 210 may include any data capable of obtaining data that may be used by the smart wheelchair 110 to perform the various functions described in this disclosure. In some embodiments, the sensors 210 may include medical monitoring sensors. In some embodiments, the medical monitoring sensor may be used to collect user physiological information. The medical monitoring sensor can be realized in a photoelectric sensing mode and also can be realized in an electrode sensing mode. The medical monitoring sensor can obtain physiological information through temperature induction, humidity change, pressure change, photoelectric induction, body surface potential change, voltage change, current change or magnetic field change and the like. The medical monitoring sensor can obtain various information such as acoustics, optics, magnetism, heat and the like, and the information types include but are not limited to electrocardio information, heart rate information, pulse information, blood pressure information, blood oxygen information, respiration information or body temperature information and other physiological information. For example, the medical monitoring sensor may obtain information including, but not limited to, waveform, time interval, peak, trough, amplitude magnitude, etc. of the electrocardiographic information.

In some embodiments, the medical monitoring sensor may include various devices, such as a blood pressure measuring device, an electrocardiograph monitoring device, a blood measuring device, a pulse wave detector, a brain wave monitor, a heart rate detector, a blood oxygen detector, a respiration detector, a body temperature detector, or the like. The blood pressure measuring device may include, but is not limited to, a watch type sphygmomanometer, a wrist type sphygmomanometer, an upper arm type sphygmomanometer, etc. The electrocardiograph monitoring device may include, but is not limited to, a medical electrocardiograph monitoring system, an electrocardiograph monitor, and the like. The medical monitoring sensor may use a local processor to process the monitoring data, such as processor 220, or may be wirelessly connected to a remote monitoring system. The medical monitoring sensor can be a medical monitoring system or a household portable monitoring device. The medical monitoring sensor can be electrocardio monitoring equipment in the traditional sense, and can also be portable intelligent wearable equipment such as watches, earphones and the like with the function. The medical monitoring sensor can acquire complete physiological information or physiological information within a certain time interval as required.

In some embodiments, the medical monitoring sensor may be in contact with a body surface of the user. After the medical monitoring sensor is connected to the body surface of the user, the smart wheelchair 110 may continuously monitor the physiological information of the user in real time (or non-real time), and transmit the monitoring result to an external device (including but not limited to a storage device or a cloud server). In some embodiments, data and/or information obtained by the sensors 210 may be stored in the memory 230 and may be processed by the processor 220. In some embodiments, one or more sensors 220 may be mounted in the wheelchair body 250. More specifically, for example, one or more medical monitoring sensors may be mounted in the seat 111, back 112, or armrest 113 of the wheelchair body 250. In some embodiments, the sensor 210 may automatically monitor physiological information of the user under the control of the processor 220. For example, the smart wheelchair may continuously monitor the physiological information of the user over a random period of time, such as minutes, hours, days, or months, or may periodically continuously monitor the physiological information of the user.

The processor 220 may process the information acquired by the analytic sensor 210. In some embodiments, the processor 220 may compare the acquired current physiological information of the user with a preset safety threshold range. The preset safety threshold range may be set by the user, or may be determined by the processor 220 according to the physiological condition of the user. The preset safe threshold range may include, but is not limited to, a safe blood pressure value, a safe electrocardiogram value, a safe pulse value, a safe heart rate value, a safe blood oxygen content value, or a safe total temperature value. In some embodiments, the processor 220 may determine an alarm signal if the current physiological information of the user is not within the preset safety threshold. Processor 220 may transmit the alert signal to one or more user devices (e.g., user device 130), which may generate an alert, such as a sound, light, vibration, etc., to notify the user or an associated third party (e.g., a user's relative or a medical professional, etc.). The alarm information can prompt a user, a relative of the user or medical staff that some physiological value of the user is possibly abnormal. In some embodiments, the processor 220 may control the smart wheelchair 110 to react to the emergency if the current physiological information of the user is not within the preset safety threshold. For example, to lay the user flat, shock, move the user away from a hazardous area, or assist the user in taking medications.

In some embodiments, processor 220 may include one or more processors (e.g., a single-core processor or a multi-core processor). Merely by way of example, the processor 220 may include one or any combination of a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an application specific instruction set processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a micro-controller unit, a reduced instruction set computer, a microprocessor, and the like.

Memory 230 may store data, instructions, and/or any other information. In some embodiments, memory 230 may store data obtained from user device 130, sensor 210, or processor 220. In some embodiments, memory 230 may store data about the user. The data about the user may include, but is not limited to, user personal information and/or user history information. The personal information of the user can comprise the name, the sex, the age, the contact way of relatives or nursing staff and the like of the user. The historical information may include historical health data, case or allergy history, etc. of the user. In some embodiments, the memory 230 may store data and/or instructions that the smart wheelchair 110 may perform or use to perform the exemplary methods described herein. In some embodiments, memory 230 may include one or any combination of mass storage, removable storage, volatile read-write memory, read-only memory (ROM), and the like. Exemplary mass storage devices may include magnetic disks, optical disks, solid state drives, and the like. Exemplary removable memories may include flash drives, floppy disks, optical disks, memory cards, compact disks, magnetic tape, and the like. Exemplary volatile read and write memories can include Random Access Memory (RAM). Exemplary RAM may include Dynamic RAM (DRAM), double-date rate synchronous dynamic RAM (DDR SDRAM), Static RAM (SRAM), thyristor RAM (T-RAM), zero-capacitor RAM (Z-RAM), and the like. Exemplary ROMs may include Mask ROM (MROM), Programmable ROM (PROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), compact disk ROM (CD-ROM), digital versatile disk ROM (DVD ROM).

The communication device 240 may be used to establish communication between the components of the intelligent wheelchair system 100 or between the intelligent wheelchair system 100 and other external devices. In some embodiments, the communication device 240 may transmit signals/data from the processor 220 to one or more components of the smart wheelchair 110 and receive signals from one or more components of the smart wheelchair 110. For example, the processor 220 may receive information from one or more sensors 210 mounted in the wheelchair body 250 via the communication device 240. As another example, the processor 220 may transmit control operations to the wheelchair body 250 via the communication device 240. In some embodiments, communications device 240 may receive various wireless signals in accordance with certain wireless communication specifications. In some embodiments, the communication device 240 may be provided as a communication module for known wireless local area communication such as Wi-Fi, bluetooth, Infrared (IR), Ultra Wideband (UWB), ZigBee, etc., or as a mobile communication module such as 3G, 4G, or Long Term Evolution (LTE), or as a known communication method for wired communication. In some embodiments, the communication between the processor 220 and the user equipment 130 may be performed by the communication device 240.

In some embodiments, the communication device 240 may be used for communication between the smart wheelchair 110 and other external devices, such as the database 140. In some embodiments, the communication device 240 may control data transmission with the smart wheelchair 110. For example, the communication device 240 may enable medical monitoring data sharing between the user and third party personnel (e.g., user relatives or caregivers, etc.).

The wheelchair body 250 may be a main body for holding the sensors 210, the processor 220, the memory 230, and the communication device 240. The wheelchair body 250 may execute instructions from the processor 220 to move and rotate the sensor 210 to obtain information of the detection zone. Further description of the wheelchair body 250 can be found in figure 1 and its associated description.

It should be noted that the block diagram of the exemplary smart wheelchair 110 depicted in FIG. 2 is for ease of description only and should not limit the scope of the present application to the illustrated embodiments. It will be understood by those skilled in the art that, having the benefit of the teachings of the present application, numerous modifications and variations can be made in the form and details of the above-described methods and systems without departing from such teachings, and such modifications and variations will still fall within the scope of the above-described. In some embodiments, the smart wheelchair 110 may include one or more other components, for example, the smart wheelchair 110 may include a power source for powering one or more components in the smart wheelchair 110.

FIG. 3 is a block diagram illustrating a processor 220 according to some embodiments of the present application. As shown in fig. 3, processor 220 may include an acquisition module 310, an analysis module 320, a determination module 330, and a control module 340.

The fetch module 310 may fetch data and/or instructions. In some embodiments, the acquisition module 310 may acquire physiological data of the user from one or more sensors 210. The physiological data includes but is not limited to electrocardiogram information, heart rate information, pulse information, blood pressure information, blood oxygen information, respiration information or body temperature information, etc. In some embodiments, the obtaining module 310 may obtain the user's instructions from the user device 130.

The analysis module 320 may analyze the information acquired by the intelligent wheelchair system 100. In some embodiments, analysis module 320 may analyze the information obtained by obtaining module 310. For example, the analysis module 320 may analyze the current physiological information of the user and compare the current physiological information of the user with a preset safety threshold range. In some embodiments, the analysis module 320 may analyze information in the database 140 and/or the storage 230. For example, the analysis module 320 may analyze historical physiological information of the user.

The determination module 330 may determine one or more parameters. In some embodiments, the determining module 330 may determine the preset safety threshold range according to the physiological condition of the user. For example, the determining module 330 may determine the preset safety threshold range according to the historical physiological information of the user and/or the physiological condition of the user. In some embodiments, the determining module 330 may determine an alarm message if the current physiological information of the user is not within the preset safety threshold. In some embodiments, the determining module 330 may determine an emergency response if the current physiological information of the user is not within the preset safety threshold. The emergency response includes, but is not limited to, laying flat, shocking, moving the user away from a hazardous area, or assisting the user in taking medications, etc. In some embodiments, the preset safety threshold range and/or the alarm information may be stored in the database 140 and/or the storage 230.

The control module 340 may control components and/or modules in the smart wheelchair system 100. In some embodiments, the control module 340 may determine one or more control parameters based on the alarm information and/or emergency response determined by the determination module 330. The control parameters may be sent to the wheelchair body 250 in the smart wheelchair 110 to control the movement of the smart wheelchair. For example, if the current physiological value or values of the user are not within the preset safety threshold, the control module 340 may control the backrest 112 of the wheelchair body 250 to tilt backward and maintain the seat 111 horizontal according to the emergency response (e.g., flat) determined by the determination module 330, so that the user lies down. In some embodiments, the control module 340 may receive a command from the user device 130. The commands may be provided by a user and one or more components in the smart wheelchair 110 adjusted according to the commands.

It should be noted that the block diagram of the processor in the exemplary intelligent wheelchair depicted in FIG. 3 is for convenience of description only and should not limit the scope of the present application to the illustrated embodiments. It will be understood by those skilled in the art that, having the benefit of the teachings of the present application, numerous modifications and variations can be made in the form and details of the above-described methods and systems without departing from such teachings, and such modifications and variations will still fall within the scope of the above-described. For example, a processor may include one or more other modules.

FIG. 4 is a flow chart illustrating control of the intelligent wheelchair system according to some embodiments of the present application. The steps 400 described in fig. 4 may be performed by the processor 220 in the smart wheelchair 110 according to instructions stored in the memory 230.

At step 410, the processor 220 (e.g., the acquisition module 310) may acquire physiological information of the user from the one or more sensors 210 in real-time or non-real-time. The one or more sensors 210 may include medical monitoring sensors. The medical monitoring sensor may be used to monitor and/or record physiological information of a user. The medical monitoring sensor may include various devices, for example, a blood pressure measuring device, an electrocardiographic monitoring device, a blood measuring device, a pulse wave detector, a brain wave monitor, a heart rate detector, a blood oxygen detector, a respiration detector, or a body temperature detector. Accordingly, the physiological information may include, but is not limited to, blood pressure information, electrocardiogram information, blood information, pulse information, brain wave information, heart rate information, blood oxygen information, respiration information, or body temperature information. For example, the obtaining module 310 may obtain blood pressure information of the user from a blood pressure measurement device. For another example, the obtaining module 310 may obtain the body temperature information of the user from the body temperature probe.

In some embodiments, the user device 130 may display the acquired physiological information of the user. In some embodiments, the acquired physiological information of the user may be wirelessly or wiredly transmitted to an associated third party, such as a user's relative, a care provider, a hospital or care facility, etc., and displayed on a display device of the third party. In some embodiments, the acquired physiological information of the user may be stored partially or wholly in a local or remote storage device. For example, the user physiological information may be stored in one or more components of the intelligent wheelchair system 100 (e.g., the database 140 or the memory 230) or may be stored in a memory of a third party, such as a database of a hospital or care facility.

At step 420, the processor 220 (e.g., the analysis module 320) may analyze whether the physiological information of the user is within a preset safety threshold. In some embodiments, the preset safety threshold range may be preset by a user. In some embodiments, the preset safety threshold range may be determined by the intelligent wheelchair system 100 based on the physiological condition of the user. For example, the safety threshold ranges may be different for users of different genders, different ages, or different physical conditions. In some embodiments, the preset safe threshold range may be determined by the intelligent wheelchair system 100 according to the normal physical health parameters of the human in the database. For example, for the heartbeat information, the heartbeat of a normal adult is between 60 and 100 times/minute, and if the heartbeat of the user is lower than 60 times/minute or higher than 100 times/minute, it indicates that the user may be in a dangerous condition. In some embodiments, the preset safety threshold ranges may be stored in one or more components of the intelligent wheelchair system 100 (e.g., the database 140 or the memory 230).

If the physiological information of the user is within the preset safety threshold, the processor 220 (e.g., the obtaining module 310) may continue to obtain other physiological information of the user or the process is ended. If the physiological information of the user is not within the preset safety threshold range, go to step 430. At step 430, the processor 220 (e.g., the determination module 330) may determine alarm information. The alarm information may be text, voice, image or video, etc. The alarm information may include physiological information of the user, a preset safety threshold range of the physiological information, possible disorders, and the like.

At step 440, the processor 220 (e.g., the control module 340) may send the alert information to the user or an associated third party. For example, the control module 340 may send alert information to a user, a user's relative, a care giver, a medical service center, or the like. For example, the control module 340 may control the communication device 240 in the intelligent wheelchair system 100 to make an emergency call to a preset person, and may briefly notify the physical status of the user.

At step 450, the processor 220 (e.g., the control module 340) may control the smart wheelchair 110 to react to the emergency. The emergency response may include a flat, electric shock, moving the user away from a hazardous area, or assisting the user in taking medication, etc. In some embodiments, the control module 340 may determine the emergency response from the user's case. In some embodiments, the control module 340 may determine the emergency response based on the user's instructions. For example, if the user has severe arrhythmia, the control module 340 may control the smart wheelchair 110 to perform a shock operation on the user, so that the heartbeat of the user is recovered to be normal. For another example, if a cerebral hemorrhage such as sudden rise in blood pressure occurs in the user, the control module 340 may control the backrest 112 of the smart wheelchair 110 to tilt backward and maintain the seat 111 horizontal, so that the user lies flat on the smart wheelchair 110. In some embodiments, the control module 340 requires the user to determine the emergency response before controlling the smart wheelchair 110 to make the emergency response.

It should be noted that the above description of the control method of the intelligent wheelchair system is only for convenience of description and should not be construed as limiting the present application to the scope of the illustrated embodiments. It will be understood by those skilled in the art, having the benefit of this disclosure, that various modifications and changes may be made in the form and details of the applications for which the above described methods and systems are practiced without departing from such principles. For example, step 430 and step 440 may be omitted.

While the present invention has been described and illustrated with respect to several embodiments thereof, it will be understood by those skilled in the art that the foregoing disclosure is made only by way of example and not as a limitation of the present application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.

Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.

Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.

A computer readable signal medium may comprise a propagated data signal with computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code on a computer readable signal medium may be propagated over any suitable medium, including radio, electrical cable, fiber optic cable, radio frequency signals, or the like, or any combination of the preceding.

Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.

The entire contents of each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, articles, and the like, cited in this application are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.

Claims

An intelligent wheelchair system for monitoring physiological information, comprising:

a wheelchair body;

the communication device is used for establishing communication between the inside of the intelligent wheelchair system or between the inside and the outside of the intelligent wheelchair system;

a sensor comprising a medical monitoring sensor for acquiring physiological information of a user;

a processor to:

acquiring physiological information of a user, which is acquired by the sensor;

analyzing whether the physiological information of the user is within a preset safety threshold range;

and if the physiological information of the user is not within the preset safety threshold range, controlling the intelligent wheelchair system to make an emergency response.
The system of claim 1, wherein the medical monitoring sensor comprises a combination of one or more of: blood pressure measuring equipment, electrocardio monitoring equipment, blood measuring equipment, a pulse wave detector, a brain wave monitor, a heart rate detector, a blood oxygen detector, a respiration detector or a body temperature detector.
The system of claim 1, wherein the physiological information comprises a combination of one or more of: blood pressure information, electrocardiogram information, blood information, pulse information, brain wave information, heart rate information, blood oxygen information, respiration information, or body temperature information.
The system of claim 1, wherein the particular safety threshold range is selected based on a physiological condition of the individual.
The system of claim 1, wherein the emergency response comprises a flat, shock, moving the user away from a hazardous area, or assisting the user in taking medication.
The system of claim 1, wherein an alert message is generated if the physiological information of the user is not within the preset safety threshold.
The system of claim 6, wherein the alert message is sent to the user, other pre-set personnel, or a medical service center.
The system according to any one of claims 6 or 7, wherein the form of the alarm message comprises text, voice or image.
A control method of an intelligent wheelchair system for monitoring physiological information, comprising:

acquiring physiological information of a user, which is acquired by a sensor;

analyzing whether the physiological information of the user is within a preset safety threshold range;

and if the physiological information of the user is not within the preset safety threshold range, controlling the intelligent wheelchair system to make an emergency response.
The method of claim 9, wherein the medical monitoring sensor comprises a combination of one or more of: blood pressure measuring equipment, electrocardio monitoring equipment, blood measuring equipment, a pulse wave detector, a brain wave monitor, a heart rate detector, a blood oxygen detector, a respiration detector or a body temperature detector.
The method of claim 9, wherein the physiological information comprises a combination of one or more of: blood pressure information, electrocardiogram information, blood information, pulse information, brain wave information, heart rate information, blood oxygen information, respiration information, or body temperature information.
The method of claim 9, wherein the particular threshold is selected based on the physiological condition of the individual.
The method of claim 9, wherein the emergency response comprises a flat, shock, moving the user away from a hazardous area, or assisting the user in taking medication.
The method of claim 9, wherein an alert message is generated if the physiological information of the user is not within the preset safety threshold.
The method of claim 14, wherein the alert message is sent to the user, other pre-set personnel, or a medical service center.
The method according to any one of claims 14 or 15, wherein the form of the alarm message comprises text, voice or image.
A non-transitory computer-readable medium comprising executable instructions that when executed by at least one processor implement a method comprising:

acquiring physiological information of a user, which is acquired by a sensor;

analyzing whether the physiological information of the user is within a preset safety threshold range;

and if the physiological information of the user is not within the preset safety threshold range, controlling the intelligent wheelchair system to make an emergency response.