KR20180018486A - Systems and methods for adaptive skin treatment - Google Patents

Abstract

According to aspects of some embodiments of the present invention, one sensor is used to measure the current value of at least one variable skin characteristic of the patient's face skin; Acquiring at least one personal skin characteristic of the patient face skin; Calculate a current facial skin condition of the patient according to at least one personal skin characteristic and current value; Determine instructions for operating the treatment applicator according to the current facial skin condition; And dynamically adapting the facial treatment based on the current facial skin profile, comprising directing the treatment applicator in accordance with the instructions.

Description

Systems and methods for adaptive skin treatment

This application claims priority under 35 USC § 119 (e) to US Provisional Patent Application Nos. 62 / 175,461, 62 / 175,463, 62 / 175,464 and 62 / 175,466, the contents of which are hereby incorporated by reference in their entirety, We claim the benefit of the priority below.

In some embodiments, the present invention provides skin treatment, and more particularly, but not exclusively, a skin treatment applicator for providing tailored care to a patient's body organs. And more particularly to systems and methods for determining commands to operate.

Different treatments can treat the skin of the patient, for example, to clean, moisturize, nourish, heat, and heat the skin.

According to aspects of some embodiments of the present invention, a method of actively applying to a facial treatment based on a current facial skin profile comprises at least one of at least one variable skin characteristic of at least one variable skin characteristic Using at least one sensor to measure a current value of the sensor; Acquiring at least one personal skin characteristic of the facial skin of the patient; Calculating a current facial skin condition of the patient according to at least one personal skin characteristic and at least one current value; Determining instructions for activating a treatment applicator according to a current facial skin condition; And instructing the treatment applicator according to the instructions.

Optionally, the step of calculating a current facial skin condition of the patient includes executing a machine-learned algorithm trained using a training set that stores at least one facial skin feature for each of a plurality of different patients Lt; / RTI > Optionally, the training set stores at least one calculated current facial skin condition for each of a plurality of different patients, which comprises at least one variable skin characteristic and at least one Lt; / RTI >

Optionally, the method further comprises acquiring at least one environmental condition feature; Wherein the current facial skin condition of the patient is calculated according to at least one personal skin characteristic, at least one current value, and at least one environmental condition feature, and wherein the at least one environmental condition feature is at least one of a humidity forecast, a temperature forecast, , Pollution level, radioactivity level, and UV index. Optionally, the method further comprises acquiring location data indicating a current location of the patient and using the current location to acquire at least one environmental condition feature.

Optionally, the method further comprises performing an analysis of past records indicative of the locations of the patient in a predefined period prior to the calculation of the current facial skin condition; Wherein the patient's current facial skin condition is calculated according to at least one individual skin characteristic and the current value and the outcome of the analysis.

Optionally, the method further comprises performing an analysis of a predetermined record indicative of a future location of the patient within a predefined period of time to proceed with the calculation of the current facial skin condition; Wherein the current facial skin condition of the patient is calculated according to at least one individual skin characteristic and at least one current value and the outcome of the analysis.

Optionally, the indicating step comprises instructions for dispensing a removable capsule comprising at least one selected material or at least one selected material.

[0301] Optionally, the at least one sensor comprises an image sensor.

Alternatively or additionally, the at least one sensor comprises a skin moisture detector.

Alternatively or additionally, the at least one sensor comprises a skin elasticity detector.

Optionally, the at least one individual skin characteristic is selected from the group consisting of skin color, skin contrast, genetic information and skin type.

Optionally, the instructions for activating the treatment applicator include instructions for controlling at least one of a quantity, a type, a concentration, and a combination of at least one applied material.

Optionally, the instructions for activating the treatment applicator include instructions for adapting the applied light or laser transmission pattern. Optionally, at least one parameter of the applied light or laser transmission pattern is adapted, and at least one parameter is selected from the group consisting of frequency, timing, phase, and amplitude.

Optionally, the instructions for activating the treatment applicator include instructions for adapting to a radio frequency (RF) transmission pattern by adapting at least one parameter selected from the group consisting of frequency, timing, phase, and amplitude.

Optionally, the instructions for activating the treatment applicator are adapted to adapt the ultrasonic transmission pattern by adapting at least one parameter selected from the group consisting of frequency, timing, phase, amplitude, cleaning intensity, ≪ / RTI >

According to aspects of some embodiments of the present invention, there is provided a system for actively adapting to facial treatment based on a current facial skin profile, comprising: at least one current feature of at least one skin feature of a patient ' At least one sensor for measuring a value; A treatment applicator including at least one applicator element for applying treatment to a face of the patient; A communication unit for receiving data from a database storing data associated with a plurality of patients; A program storage for storing codes; And a processor coupled to the at least one sensor, the communication device, and the program storage for executing the stored code, the code comprising code for obtaining at least one personal skin characteristic relating to the face of the patient from at least one current value Code commands for calculating a current facial skin condition of the patient according to code commands, at least one personal skin feature and data associated with a plurality of patients, determining treatment instructions for activating the treatment applicator according to the current facial skin condition Code commands for doing so; And code instructions for instructing the treatment applicator in accordance with the treatment instructions.

Optionally, the treatment applicator comprises at least one sensor, and the treatment applicator further comprises an applicator communication interface for wirelessly communicating with a mobile device comprising a program storage and stored code, the treatment applicator comprising: And transmits at least one current value to the mobile device and receives the determined treatment commands from the mobile device.

Optionally, the treatment applicator includes a material container for storing at least one removable capsule each comprising at least one cosmetic material for application by at least one applicator element in accordance with the determined treatment instructions. . Optionally, the treatment applicator includes a tag reader for reading a tag located in at least one removable capsule storing information of the cosmetic material stored in each capsule; And code instructions stored in a memory for execution by the at least one processor, the code instructions identifying each of the at least one removable capsule as a new or persistent capsule. Optionally, the treatment applicator further comprises code instructions stored in memory for execution by the at least one processor, wherein the code instructions are associated with at least one removable capsule Or the remaining amount of at least one cosmetic material in each of the plurality of remaining treatments. Optionally, the determined treatment commands comprise instructions for controlling at least one of an amount, a concentration, a method of administration, and a combination with at least one other cosmetic material for each cosmetic material. Optionally, the training set stores at least one calculated current facial skin condition of each of a plurality of different patients, the at least one current facial skin condition comprising at least one current value measured for at least one variable skin characteristic, .

Optionally, calculating a patient's current facial skin condition is performed based on code that executes a trained machine learning algorithm using a training set that stores at least one facial skin feature for each of a plurality of different patients.

Optionally, the system further comprises code for acquiring at least one environmental condition feature by accessing the server via a network; Wherein the current facial skin condition of the patient is calculated according to at least one personal skin feature, at least one present value, and at least one environmental condition feature, wherein the at least one environmental condition feature is selected from the group consisting of a humidity forecast, a temperature forecast, , Contamination level, radioactivity level, and UV index. Optionally, the system further comprises a geographical location element providing location data indicative of the current location of the patient, and further comprising code using the current location to acquire at least one environmental condition feature. Optionally, the system further comprises code for performing an analysis of past or predetermined records indicative of the location of the patient in a predefined period for preceding or following, respectively, producing the current facial skin condition or treatment commands and; The current facial skin condition or patient ' s treatment commands are calculated according to at least one personal skin characteristic and at least one current value and the result of the analysis.

Optionally, the system further comprises code for providing a message to a user on the screen to enter a removable capsule comprising at least one selected cosmetic material or one or more selected cosmetic materials.

[0301] Optionally, the at least one sensor comprises an image sensor.

[0321] Optionally, the at least one sensor comprises a skin moisture detector and a skin elasticity detector.

Optionally, the at least one personal skin feature is selected from the group consisting of skin color, skin shadow, genetic information, and skin type.

Optionally, the instructions for activating the treatment applicator are based on at least one parameter selected from the group consisting of frequency, timing, phase, and amplitude, instructions for adapting to a light or laser transmission pattern applied by at least one applicator element .

Optionally, the instructions for actuating the treatment applicator include instructions for adapting to at least one parameter of a radio frequency (RF) transmission pattern or an ultrasonic transmission pattern by at least one applicator element, Timing, phase, and amplitude.

According to aspects of some embodiments of the present invention, there is provided a capsule for a system for providing a facial treatment, the capsule including an identifier that is electrically readable with a cosmetic material; A system for providing facial treatment includes at least one sensor for measuring a current value of at least one skin feature of a patient's facial skin and at least one applicator element for applying a substance from the capsule to the facial skin of the patient And a treatment applicator.

According to aspects of some embodiments of the present invention, there is provided a method of dynamically adapting a facial treatment based on predicted exposure to a skin damage factor, comprising the steps of: Performing at least one analysis of the patient ' s routine; Scheduling records indicating future locations of the patient in a predefined future period; Calculating a treatment plan for the patient according to the result of the analysis; Determining instructions for activating a treatment applicator according to a treatment plan; And instructing the treatment applicator according to the instructions; At least one of the historical records and the scheduled records is collected using a monitoring module executed by one or more processors of the mobile device associated with the patient.

Optionally, calculating a treatment plan is performed based on code executing a machine learning algorithm trained using at least one training set of historical records and scheduled records associated with the same patient for which the instructions are to be determined .

Optionally, calculating a treatment plan may include using at least one training set of historical records and scheduled records associated with a plurality of different patients that are not patients to be determined, and performing a trained machine learning algorithm Based code.

Unless otherwise defined, all technical and / or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Methods and / or materials that are good examples are set forth below, although the methods and materials similar or equivalent to those set forth herein may be used in daily use or in testing of embodiments of the invention. If there is a conflict, the patent specification containing definitions will control it. In addition, the materials, methods, and examples are illustrative only and are not intended to be limiting in any way.

Some embodiments of the invention are described herein by way of example only and with reference to the accompanying drawings. With specific reference to the specific drawings, it is emphasized that the details are shown by way of example and for purposes of illustration of the illustrative examples of the embodiments of the invention. In this regard, the statements in the figures clarify how the inventive embodiments can be practiced by the ordinary artisans.
In the drawings:
1 is a method for dynamically adapting instructions provided to a skin treatment applicator that provides facial treatment to a patient ' s face, in accordance with some embodiments of the present invention;
2 is a diagram of system components that dynamically adapts the instructions provided to a skin treatment applicator, in accordance with some embodiments of the present invention;
3 is a flow chart of a method for determining a patient's current facial skin profile, in accordance with some embodiments of the present invention;
4 is a flow chart of a method for predicting exposure to skin damage factors, in accordance with some embodiments of the present invention; And
Figure 5 is a schematic depiction of portions of a face that are a good example, in accordance with some embodiments of the present invention.

In some embodiments, the present invention relates to providing a skin treatment, but more particularly, but not exclusively, to determining instructions for operating the skin treatment applicator to provide tailored treatment to a patient ' s face Systems and methods.

Aspects of some embodiments of the present invention include systems and / or methods that dynamically adapt instructions to operate a skin treatment applicator that provides facial treatment to a patient ' s face (e.g., Code executed by the user). In order to operate the skin treatment applicator to provide facial treatment, the commands are customized to the patient being treated. The facial treatment (used to determine the commands) can be customized for the patient. Optionally, the instructions are selected and / or dynamically adapted according to the current position of the skin treatment applicator in front of the facial segment of the patient's face. Different treatments can be selected for different face parts. Alternatively or additionally, the instructions are selected and / or dynamically adapted according to the patient's current skin profile. The instructions may be tailored to the patients being treated and / or to the current skin condition of the patient, for example, different treatments may be determined for the same patient at different times. Alternatively or additionally, the instructions are selected and / or dynamically adapted according to the predicted exposure to skin damaging factors of the patient's face. The commands may be selected for high or low accumulated or predicted damage due to skin damage factors.

Alternatively, the treatments and / or commands are determined based on data collected from a plurality of patients (using methods of collecting "big data" information and processing it). The data from the plurality of patients can be used to determine a treatment plan and / or a machine learning method for determining the treatment plan and / or instructions based on the input parameters, such as the current skin profile and the exposure predicted for skin damage, A classifier). ≪ / RTI > The selectors may be used to determine the most likely treatments for the current patient based on the skin parameters and sensor measurements, e. G., The effects of treatment, or other patient experience determined to be similar in other similarity measures Or can be trained using the treatment output, which may be entered manually by the caregiver or automatically by a sensor and / or automatically measured by the sensor.

The systems and / or methods described herein provide a technical solution to the technical problem of the commands that are determined to operate the skin treatment applicator for applying the facial treatment to the patient ' s skin, at least customized to the patient ' s skin . (Cream, lotion) application of one or more cosmetic materials and energy (e.g. light, laser, ultrasonic, radio frequency, heating, and cooling) applications of many different skin treatment modalities are available. The same (or similar) treatment may be ineffective due to different patients, e.g., different skin types, different skin types, exposure to different environmental conditions, and / or different ages May not be good). The same (or similar) treatment may be ineffective for the same patient when different external conditions are applied, for example, when the patient is applied after exposure to the sun during vacation, and / or when local environmental conditions have changed significantly (Or the effect may not appear well). The same (or similar) treatment may not be effective for the same patient, depending on different facial conditions, for example, according to sunburn, presence of acne, and / or new skin pigment (e.g. after sunbathing) Or the effect may not appear well). The same (or similar) treatment may be ineffective (or not effective) for the same patient at different times of the day and / or on different days of the week, for example, It may be necessary to apply a higher amount and / or value of the Sun Protection Factor (SPF) on weekends (in the outdoors exposed to the sun while they are doing leisure activities) than on weekdays (in the company). The same (or similar) treatment may not be effective for patients with patient age. The same (or similar) treatment may not (or may not appear to be effective) for different parts of the same patient face, for example, the forehead, nose, and jaw may be more fat than the ball, And may require different treatments. Chichi can interact with each other in positive ways (for example, to obtain a cooperative effect) or in negative ways (for example, when used together, chemically reacting in a reduced or dangerous way) have. Each treatment may be applied in different ways, e.g., in different amounts and at different frequencies. Thus, the number of possible facial skin treatments based on possible combinations of different treatment conditions and aspects is very high, which makes it difficult to select a particular treatment for each patient. The systems and / or methods described herein collect and analyze customized data associated with the patient to select a customized treatment plan. The treatment plan can be selected based on experiences of other patients and / or the same patient and based on automated machine learning procedures.

The systems and / or methods described herein may be implemented by selecting a treatment plan and / or instructions for activating a skin treatment applicator according to, for example, a calculated position, analysis of sensor outputs, and / For the processor's ability to execute the instructions, it may be necessary to perform detailed operations (e.g., calculating the position of the skin treatment applicator, analyzing the sensor outputs to determine the current value of the variable skin characteristic, Using machine learning methods to analyze records).

The systems and / or methods described herein improve the performance of a computing unit that activates the skin treatment applicator by improving the selection of the move instructions to apply customized facial treatments to the patients.

Therefore, the systems and / or methods described herein inevitably originate in computer technology to overcome the practical technical problems that arise from the dynamic adaptation of instructions for operating the skin treatment applicator.

BRIEF DESCRIPTION OF THE DRAWINGS Before describing at least one embodiment of the present invention in detail, it is to be understood that the invention is not limited to the details of construction and that of the application of the embodiment and the following description, and / Or arrangements of methods described herein. The invention may be practiced or carried out in other embodiments or in various ways.

The invention may be a system, method, and / or computer program product. A computer program product may include a computer capable of reading storage media (or media) having computer readable program instructions to cause a processor to perform aspects of the present invention.

The computer-readable storage medium can be any type of device that can store and store instructions for use by the instruction execution device. The computer-readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. The non-preferred items of the more specific examples of computer readable storage matches include: a portable computer diskette, a hard disk, a random access memory (RAM), a read only memory (ROM) (EPROM or Flash memory), static random access memory (SRAM), portable compact disc read only memory (CD-ROM), digital versatile disc (DVD), memory stick a memory stick, a floppy disk, and any suitable combination of the foregoing. As used herein, the computer-readable storage medium (s) may include transient signals such as radio waves or other electromagnetic waves that are freely propagating, electromagnetic waves propagating through waveguides or other transmission media (e.g., fiber- optic cable), or electrical signals that are transmitted through a wire.

The computer-readable program instructions embodied herein may be read from a computer-readable storage medium or transferred from a computer-readable storage medium to a computer-readable storage medium, such as, for example, a computer- And may be downloaded to computing / processing devices. The network may include copper transmission cables, optical transmission fibers, wireless transmissions, routers, firewalls, switches, gateway computers and / or edge servers server < / RTI > A network adapter card or network interface to each computing / processing device receives computer-readable program instructions from a network and stores the computer-readable storage medium within each computing / processing device The computer-readable program instructions.

Computer-readable program instructions for carrying out the operations of the present invention may include objects that are focused on programming laguages such as Smalltalk, C ++, or the like, and "C" programming languages or similar programming languages Assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions written in any combination of one or more programming languages including programming languages of the same conventional procedure Microcode, firmware instructions, state-setting data, or source code and object code. A computer capable of reading program instructions can be implemented entirely on a user's computer, as a stand-alone software package, partially on a user's computer, partially on a remote computer, or entirely on a remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or wide area network (WAN), or the connection may be with an external computer , Via the Internet using an Internet Service Provider). In some embodiments, an electrical circuit including, for example, a programmable logic circuit, a field-programmable gate array (FPGA), or a programmable logic array (PLA) To perform aspects, computer-readable program instructions for personalizing an electrical circuit may be used to execute computer readable program instructions by using state information of the readable program instructions.

Aspects of the present invention are described with reference to flowchart illustrations and / or block diagram devices (systems), and computer program products in accordance with embodiments of the invention. It will be appreciated that the combinations of blocks in the flowchart illustrations and / or block diagrams, and the flowchart illustrations and / or block diagrams may be implemented by computer readable program instructions.

Such computer readable program instructions may be stored on a processor of a general purpose computer, a special purpose computer, or other programmable data processing apparatus for producing a machine executing on a processor of the computer or other programmable data processing apparatus And may produce means for implementing the functions / acts specified in the flowchart and / or block diagram blocks or blocks. Such computer readable program instructions may also be stored in computer readable storage media capable of directing a computer, programmable data processing apparatus, and / or other apparatus for functioning in a particular manner And computer readable storage media having instructions stored thereon include an article of manufacture that includes instructions that perform aspects of the functions / acts specified in the flowchart and / or block diagram blocks or blocks.

The computer-readable program instructions may also be stored in a computer-readable medium, such as a computer, other programmable data processing apparatus, or any other computer-readable medium, such as a computer, The instructions that may be loaded into the device and executed by a computer, other programmable device, or other device perform the functions / acts specified in the flowchart and / or block diagram blocks or blocks.

In accordance with various embodiments of the present invention, the flowcharts and block diagrams in the figures illustrate the operation of the configurations, functions, and possible performances of the systems, methods, and computer program products. In this regard, each block in the flowchart or block diagrams containing one or more executable instructions for performing the specified function (s) of logic (s) represents a module, portion, or portion of instructions . In some alternative implementations, the functions recorded in the block may occur outside of the instructions recorded in the figures. For example, two blocks shown in succession may in fact be executed substantially concurrently, or blocks may sometimes be executed in reverse order, depending on the functionality involved. A particular-purpose hardware-based system (e.g., a computer-readable medium) that performs the specified functions or acts or performs combinations of special purpose hardware and computer instructions in conjunction with the block diagrams and / or block diagrams and / It should also be noted that it can be executed by hardware-based systems.

Referring to Figure 1, there is shown a method for dynamically adapting instructions provided to a skin treatment applicator that provides facial treatment to a patient's face, in accordance with some embodiments of the present invention. The facial treatment may be based on the current facial skin profile of the patient, based on the location of the skin treatment applicator in front of a portion of the facial skin of the patient's face, and / or based on predicted exposures to skin damage factors and / Will be dynamically adapted based on the treatments provided to the other patients. Referring to FIG. 2, in accordance with some embodiments of the present invention, a block diagram of the components of system 200 that dynamically adapts the instructions provided to skin treatment applicator 202 is provided. The acts of the method of FIG. 1 will be performed by the configurations of the system 200. For example, the instructions may be provided by the mobile unit 204 in communication with the skin treatment applicator 202, by the processing unit 206 of the mobile device 204 executing the code stored in the program store 208, and / May be determined by the processing unit 210 of the skin treatment applicator 202 executing the code stored in the storage 212. The code will include a mobile application executed by the mobile device 204. The application may be a client-server application. Optionally, the treatment may be determined remotely, for example, by the server 232, and / or transmitted to the mobile device 204 and / or the skin treatment applicator 202 via the network 230. The server 232 may collect and / or gather data from multiple patients using different skin treatment applicators and / or mobile devices, and may be configured to collect and / or gather data from, for example, By applying a sorter, aggregated data can be used to determine centered treatment for each patient.

The skin treatment applicator 202 may be adapted to move along a face by hand (e.g., by a grip element) and / or to bring a face (counter or table) (fixed to a support position such as a table). The skin treatment applicator 202 may be relatively small, such as, for example, the size of a US 1 to 25 cent coin. The skin treatment applicator 202 may be designed for use by a user at home.

The skin treatment applicator 202 may include one or more (possibly identical or similar) sensors that can be a modular unit that can be fixed and / or removed (e.g., replaceable with other sensors) Lt; RTI ID = 0.0 > 214 < / RTI > The sensor (s) 214 may be designed to contact the face of the patient, and / or may be designed to be located proximate to the face without face contact. The sensor (s) 214 capture (and / or face) still images and / or videos (e.g., at visible, infrared, and / or other invisible wavelengths) Which may be an image sensor. The sensor (s) 214 may be configured to provide visual skin attributes (e.g., color, contrast, pigment, wrinkles, dots or others), physical skin attributes (e.g., resiliency, thickness, (E.g., other things), and / or chemical skin attributes (e.g., moisture content) (to perform a direct measurement of properties and generate data to be analyzed to obtain). Other exemplary sensor (s) 214 may include: a skin moisture sensor that estimates the moisture content of a portion of the skin, and a skin elasticity detector that estimates skin elasticity of the skin portion. The sensor (s) 214 may include a sensing surface that senses the skin by contact with the skin, and / or a sensing element that senses without touching the skin.

The skin treatment applicator 202 may include one or more of a material container (which may be stored in capsules and / or small containers that may be disposable and / or removable in the skin treatment applicator 202, e.g., Such as a cream, lotion, serum, hydrating lotion, nutrient, oil (such as, for example, water) applied to a portion of a face in accordance with determined instructions, (s) may be applied to a face, such as a face, an eye, an eye, an eye, an oil, a gel, a clean lotion, water, or other substance or drug using a brush, spray, dropper, massage machine, One or more applicator elements 216 (which may be similar or different). The capsules stored in the cosmetic material container 218 may be replaced with a tag indicative of the product stored in the capsule by means of a bar code or radio frequency identifier (e. G. RFID). Further, the capsule can be identified by an electronic element, such as a two-wire memory.

In some embodiments, the capsule may be identified as a new or continuous capsule (i.e., a capsule that is located in the device, installed, laid down, removed, or repositioned later) that includes a cosmetic material. The device can be activated while measuring the remaining material in the capsule. The system can indicate the amount of the substance in the capsule, the number of treatments, or the period during which the substance in the capsule can be sufficient. The parameters of the capsule, such as type, expiration date, or the like, may appear in the database and may be accessible to the user, device, capsule provider, advisory board, or other companies.

The applicator element 216 may transmit energy, e.g., light, laser, radio frequency (RF), ultrasound, or other, to a portion of the face in accordance with the determined instructions. The applicator elements 216 may be designed to peel off the skin, for example, by a rotating member or a fine surface that removes dead skin and / or promotes blood circulation. The applicator element (s) 216 may be modular and / or permanent and / or refillable (e.g., removable and replaceable with other applicator elements). The applicator 202 may be designed to accommodate multiple simultaneous applicator elements 216 and may be designed to accommodate one element 216 at a time (either simultaneously or at one time, depending on the instructions) Allowing, for example, removal and replacement with the different elements 216, depending on the determined instructions). The applicator elements 216 may be permanent or removable.

In some embodiments, one or more of the following embodiments may be used:

Laser therapy can be applied using any one or more wavelengths, such as, for example, 20 to 100 milliwatt, such as a combination of 852 nanometers and 658 nanometers.

The RF therapy may be applied at a frequency of 5 to 30 watts and a frequency of 0.5 to 5 megahertz (MHz) and the electrophoresis may be performed at a frequency of 30 to 200 kilohertz (KHz) Lt; RTI ID = 0.0 > volts. ≪ / RTI >

One or more exemplary therapies or others may be applied over a period of time such as between a few seconds and a few minutes, such as up to about 10 minutes for each treatment type, or all together up to about 10 minutes.

The applicator elements 216 can be used to clean the skin, deliver nutrition to the skin, regenerate the skin, make protein chains, strengthen the existing protein chains, reduce melanocytes, Reducing antioxidants or other toxins, reducing redness, or the like. The applicator element 216 may be any suitable material, including, but not limited to: cleaning, widening pores, mechanical or chemical peeling, applying heat, cooling, massaging, skin stretching, tapping, ≪ / RTI > and the like.

The applicator elements 216 may comprise control devices (e. G., Electrical network) and / or motors (e. G., Motors) for applying the treatment in accordance with the instructions. Alternatively or additionally, the control devices and / or motors are positioned in engagement with the inserted applicator elements 216 in the skin treatment applicator 202.

The applicator element (s) and the sensor (s) may be located in different locations in the skin treatment applicator 202 (e.g., independently removable and replaceable), and / (E.g., removable and / or interchangeable) integrated elements.

The skin treatment applicator 202 may include or communicate with a user interface 220 that allows the patient (or other user) to enter data and / or provide the calculated data to the patient (or other user) . For example, the user interface may be a keyboard, a touch-pad, a touch-screen, a button, a dial (s), and / And / or receive data using one or more of a touch-surface, such as a microphone, microphone, and / or speaker.

The skin treatment applicator 202 may be powered by a battery (optionally recharged), a wall outlet (via cable and plug), or other methods.

The skin treatment applicator 202 may include an applicator communication interface 222 for communicating with the mobile device 204, such as a short range air interface, a network interface, a cellular interface, a cable interface, and / . ≪ / RTI >

The skin treatment applicator 202 may be coupled to the skin treatment applicator 202 by a sensor (not shown), for example, to transmit to the mobile device 204, the server 232, and / And may include or be in communication with a data store 224 that can store data output by the memory 214 (s). It is noted that data storage 224 and program storage 212 may be separate storage devices, and / or integrated within one storage device.

The mobile device 204 may be configured to communicate with an applicator communication interface 222 of a skin treatment applicator 202, such as, for example, a wireless communication interface (e.g., Wi-Fi) and / or a cable link And a mobile device interface 226. The mobile device interface 226 corresponds to an interface 222, e.g., a short-range air interface, for allowing data to travel between the mobile device 204 and the skin treatment applicator 202.

The mobile device 204 may include or communicate with the network 230, such as a cellular network, the Internet and / or a local area network, a network interface 228 connecting the mobile device 204. The mobile device 204 may communicate with one or more remote servers 232 over the network 230 to obtain, for example, weather forecasts and / or other data as described herein.

The mobile device 204 may be, for example, computing satellite positioning system (GPS) data, or based on electronic signals transmitted over a wireless network representing the location of the user, data representing the physical and / And a geographical location element 234 that outputs a geographical location element 234 that outputs geographical location elements.

The mobile device 204 may be configured to allow the patient (or other user) to input data and / or to provide the patient (or other user) with a keyboard, touch pad, touch screen, button (s) And / or a touch surface, such as a microphone (with optional voice recognition software), and / or a speaker, to provide the calculated data.

The mobile device 204 may include or communicate with a data store 238, which may store, for example, a monitoring code 238A as described herein, past treatments and their results, or the like. have.

The mobile device 204 may be, for example, a smartphone, a tablet computer, a laptop, a wearable device (e.g., computing glasses, a watch computer, ). ≪ / RTI > It is noted that mobile execution of the mobile device 204 is exemplary and not necessarily limited thereto. For example, the functions of the mobile device 204 may be performed by a remote server, a desktop computer, a dedicated device, a web server, or a skin treatment applicator 202 (e.g., May be executed by other computing units (e.g., over an appropriate communication link between the computers).

The processing unit 210 of the mobile device 204 and / or the skin treatment applicator 202 of the mobile device 204 may comprise a central processing unit (CPU), a graphics processing unit (GPU), a field programmable gate array a programmable gate array (FPGA), a digital signal processor (DSP), application specific integrated circuits (ASIC), or others. The processing units 206 and / or 210 may include one or more (homogeneous or heterogeneous) processors that may be arranged in parallel processing, such as a cluster and / or one or more multicore processing units. It will be appreciated that some or all of the processing may be performed by one or more processors associated with the server 232. In some embodiments, processing may be split between the processing unit 206 of the mobile device 204 and / or the processing unit 210 of the skin treatment applicator 202 and / or the processor associated with the server 232 have.

The program storage associated with the program storage 212 of the skin treatment applicator 202 and / or the program storage 208 and / or server 232 of the mobile device 204 may be accessed by respective processing devices 210 and 206 Such as random access memory (RAM), read only memory (ROM), and / or storage devices such as nonvolatile memory devices, magnetic media, semiconductor storage devices, hard drives, removable storage devices removable storage, and optical storage devices (e.g., DVD, CD-ROM).

The data store 224 of the skin treatment applicator 202 and / or the data store 238 of the mobile device 204 and / or the data store associated with the server 232 may be, for example, a hard drive, a removable storage device, , A remote server, and / or other storage devices.

The dynamic adaptation of the instructions for activating the skin treatment applicator 202 can be used to identify damaging effects of the skin such as skin defects due to aging, skin deflection, skin sagging, physiological aging, gravity, elastic fibrosis, Wrinkles, skin wrinkles, hyperkeratosis, pigmentation, dryness, and clinicopathology such as dermatitis, dermatitis, osteoarthritis, osteoarthritis, Scars, and acne. ≪ RTI ID = 0.0 >

The actions of the method described with reference to FIG. 1 (and / or FIGS. 3, 4, 5) and the method described may be performed by the skin treatment applicator 202 (i.e., the processing unit 210 executing the code stored in the program storage 212) And may be performed entirely by the mobile device 204 based on data received from the sensors 214 and / or from transmission of the determined instructions for execution by the skin treatment applicator 202 and the skin treatment applicator, (Or by the processing unit 206 executing the code stored in the program repository 208), and / or between the skin treatment applicator 202 and the mobile device 204 For example, the skin treatment applicator 202 may collect the output from the sensors 214 and perform the initial data processing and / or analysis. The mobile device 204 may determine the instructions for execution by the skin treatment applicator 202. [ In some embodiments, the processing device associated with server 232 may also perform some or all calculations.

At 102, face related data associated with the patient is received. Data may be associated with patient demographic data such as a portion of the face and / or the patient's entire face, age or gender, geographic data such as patients living, working, or vacationing, patient behavior data, have. The face associated with the data may be directly associated with the patient's face based on measurements performed on the patient's face, such as, for example, images acquired using the image sensor or the expected moisture content of the skin measured using the moisture sensor . The face associated with the data can be influenced by the face, which can be obtained and / or measured without the patient's face, such as, for example, ultraviolet (UV) index values, weather, environmental conditions, The note may be indirectly associated with the patient's face based on data associated with external parameters.

Direct face-related data may be provided by the sensor (s) 214 (s) of the skin treatment applicator 202. Indirect data relating to the face may be retrieved from server 232 (s) and / or geo-location element 234 (e.g., by monitoring code 238A), such as environmental data, and / And may be collected as position data indicating the position of the user.

Other data, such as record face data, demographic, geographical or behavioral data, obtained from a storage device, or the like, may be provided by the user.

Alternatively, the collected data may be collected from a number of users and / or transmitted to a central repository (e.g., associated with server 232) that stores aggregated data. The central repository may be a collection of data that is manually collected by the determined treatment plan (e.g., as described herein) and / or collected by the user and / or repeated in the following recurring cycles and / And selectively store the data from each user according to the treatment results (which may be automatically obtained by the analyzed data). In order to determine treatment plans for patients based on treatment plans that have been successful to other users who may have characteristics similar to the current user (for example, according to correlation requirements), the collected data may include statistical classifiers (As described herein) or may be used for additional applications.

At 104, the face associated with the data is analyzed. The data may be logically analyzed by the skin treatment applicator 202 and / or mobile device 204 and / or at a remote location (e.g., server 232). The analysis can be performed on the basis of the calculated sensor data, for example, to identify the values of one or more variables that measure the present value of the skin characteristics of the patient ' s face, as described herein, have.

The data may be analyzed remotely by a remote server (e.g., server 232) and may be provided to remote and skin treatment applicator 202 (e.g., over a network connection and / or a cellular channel) And / or may be transmitted directly via the mobile device 204. The data may be automatically analyzed by the remote server and / or manually analyzed, e.g., by a user (e.g., by a professional data analyst, cosmetic manufacturer, dermatologist).

The data analysis may include determining a treatment based on trends of results along with previous treatments provided to the user.

In some embodiments, the treatment may depend on the particular location in the face of the user being treated. In order to verify that the user has actually placed the skin treatment applicator 202 in the correct position, the determination of the location of a portion of the facial skin may be performed to locate the skin treatment applicator 202 in front of a portion of the facial skin (e.g., And / or provided verbally using a microphone). ≪ / RTI > The position determination may be performed in response to a user positioned in the skin treatment applicator 202 without necessarily being instructed.

The position determination may be performed in response to a user pressing a button indicating that the user desires to cancel the current position and / or the user has reached the indicated position (e.g., via the GUI and / or other buttons or microphone provided on the screen) Using verbal instructions recorded by the user). Alternatively or additionally, position determination may be performed continuously or periodically to determine the current position and / or to detect position changes.

Reference is made to Fig. 5, which is a schematic diagram illustrating exemplary portions of a face, in accordance with some embodiments of the present invention. A face 600 to be treated is presented. The face 600 may be presented on a screen (e.g., user interface 220 and / or 236). Portions of the face may be used to indicate to the user (e.g., highlighted, shaded, or colored) to show the location of the location of the skin treatment applicator 202 and / or the current location of the skin treatment applicator 202 ). The user may be able to manually enter the current location of the skin treatment applicator 202 (or where the user is willing to locate), e.g., to touch the face portion to the touch screen and / or to click on a portion of the face presented on the screen . Some of the facial parts according to an embodiment include a forehead 604, a nose 608, a jaw 612, a left ball 616, and a right ball 620.

Alternatively, the current position is automatically determined by comparing the current measurements with the measurements experienced in the previous situations in which the user placed the applicator in the desired location. Measurements may include measurements related to the facial structure, such as determining the shape or contour of the face region, as well as chemical or biological measurements. Thus, the current position may be determined based on a comparison where appropriate treatment may be applied to the face portion.

Alternatively or additionally, referring back to blocks 102-104 of FIG. 1, the instructions for dynamically adapting to the facial treatment application by the skin treatment applicator 202 may be determined according to the patient's current skin profile .

According to some embodiments of the present invention, a flow diagram of a method for determining a patient's current facial skin profile is given in FIG. The current facial skin profile may be a collection of one or more absolute and / or related values representative of the current state of the patient's skin. The treatment may be selected and / or adapted according to the current facial skin profile, and / or according to changes between the current facial skin condition and the previous facial skin condition. For example, when the current facial skin condition indicates deterioration in one or more features associated with a previous facial skin condition, the selected treatment may be adjusted to test and improve the facial skin condition of the user.

At 402, the data output from the sensor (s) 214 (s) that measure the current value (s) of the skin feature (s) of the patient's face skin is received by the skin treatment applicator 202. The skin characteristics that can be changed include, for example, the characteristics of the patient's skin that may change over time for the same patient for skin moisture content, elasticity, color and / or color (e.g., due to tanning) .

Exemplary sensors 214 may include imaging sensors (e.g., sensing color and / or pigment), skin moisture sensors (e.g., sensing skin moisture), and skin (e.g., Includes a resilience detector and measures skin characteristics that can be changed.

Optionally, at 404, one or more environmental condition features are obtained. Environmental condition features represent features that affect the skin characteristics of the patient's face that can change. Exemplary environmental condition features include a humidity forecast, a temperature forecast, a cloudy weather forecast, and a radiation index forecast. For example, cold and / or dry weather conditions reduce skin moisture content and / or skin elasticity. For example, a high ultraviolet index combined with a sunny day affects the facial color, pigment, moisture content, and / or elasticity, for example, as the skin is sunburned.

Environmental condition features may be obtained, for example, by the mobile device 204 accessing the server 232 over the network 230. The server 232 may be, for example, a publicly available platform obtained from weather data to store or obtain environmental condition characteristics. Environmental condition features may be measured by the applicator 202 or the mobile device 204, for example, using built-in or module elements such as a thermometer, and / or a humidity sensor.

Alternatively or additionally, at 406, position data indicating the current position of the patient is obtained. The location data may be obtained by requesting the user to manually enter a location (e.g., provided on the screen that communicates with the mobile device 204), e.g., from a geographic location element 234 (e.g., GPS system) The mobile device 204 may be obtained by querying the cellular network to identify the base station and the mobile device 204 is using it for retrieving data and / or for accessing from a user's social network site.

The current location can be analyzed to detect if the user is located indoors (e.g., a shopping mall, office, or subway) or outdoors.

The current location can be used to obtain, for example, the current weather, humidity, contamination level, radiation level, electron radiation level, and / or UV index, environmental condition characteristics measured at the patient's current location.

Optionally, an analysis of past records indicative of the locations of the patient at predefined times prior to the calculation of the current facial skin condition may be performed. For example, during a vacation on vacation in Florida, the patient was traveling two weeks in the sun, but is now returning to the cold, cold New York winter. The predefined period can be determined, for example, based on the intervals between facial skin treatments. In this case, each current treatment may be based on the location of the patient after the previous treatment.

Optionally, an analysis of predictive records indicative of the patient's future locations in a predefined period prior to the calculation of the current facial skin condition is performed. For example, if a patient is currently treated with a cloudy and cold New York winter, but is expected to go on a two week holiday in a warm, sunny climate, facial treatment can be adapted accordingly, for example, to protect against sun damage.

Optionally, daily, weekly, monthly, and / or yearly routine analysis of the patient is performed at a predefined time prior to the prediction of the current facial skin condition. For example, when a patient is being treated on a summer weekend, it may be considered that treatment lasts longer in the sun than in other months or days, and thus the treatment provided may vary. Similarly, treatment can vary from one day to the next.

Data for determining past records, predicted records, and / or historical records and / or predicted records (e.g., location data) may be stored in the data store 238 of the mobile device 204 Can be collected using the monitoring code 238A. The monitoring code 238A can access geographic location elements 234, server 232 (s), data stored in data repository 238, and / or other data storage locations.

Alternatively or additionally, at 408, one or more individual skin features of the patient's facial skin are obtained. The personal skin characteristic may be based on an analysis of the data output by the sensor 214 (s) (e.g., image analysis of the patient's face to determine skin color), and / (E.g., to server 232, to data store 238, to data store 223) stored on a storage device (e.g., accessed from a patient's social network site) For example, it may be obtained by accessing a database of patient data with medical records (e.g., using the user interface 236) that are manually entered by a user. Personally skin features of the based on the analysis of the passive user data and / or acquire data entry, for example, (a graphical user interface (graphical user interface) provided on the screen), pre-defined questions, for example, you Is there a lot of freckles? Is your skin getting dry easily? Do you get in the sun easily? Did you get a lot of sun when you were a child? Based on the answers provided by the user.

Exemplary personal skin characteristics include skin color, skin shadow, genetic information, skin thickness, and skin type.

At 410, the patient's current facial skin condition is determined by: the individual skin feature (s), the current value (s) of the skin feature that can change, the environmental condition feature, the user's location, and past records and / Is calculated according to one or more input parameters of the results of the records analysis.

The current facial skin condition may include, for example, one or more absolute numbers using one or more functions (e.g., weighted functions) that receive one or more input parameters, a change in one or more input parameters Calculated as a normalized value, a series of values, a record, an array, a text parameter, or other symbols (e.g., on a scale of 0 to 1, 0 to 100) .

The current facial skin condition may be stored (e.g., in data storage 238 and / or 224) for use in determining instructions for operating the skin treatment applicator 202. Current skin conditions may be stored as a series of current facial skin condition values for patients recorded at different times over time.

Alternatively or additionally, referring back to blocks 102-104 of FIG. 1, the instructions for dynamically adapting to the face treatment application by the skin treatment applicator 202 may be based on the expected exposure to skin damage factors .

Referring to FIG. 4, a flow chart of a method for determining exposure to skin damage factors, in accordance with some embodiments of the present invention.

At 502, past records indicative of patient locations at predefined past time periods can be accessed, for example, as indicated by reference to block 406 of FIG. Past records can refer to day-to-day / weekly / monthly / yearly routine of the patient. In addition, certain daily data may be provided.

At 504, predictive records indicative of the patient's future locations at predefined future times may be accessed, for example, as set forth by reference to block 406 of FIG.

Historical records and / or predicted records may include, for example, monitoring code (which may be stored in the data store 238 of the mobile device 204), as indicated herein by reference to block 406 of FIG. 3, Lt; RTI ID = 0.0 > 238A. ≪ / RTI >

At 506, past records and / or predicted records are analyzed to infer patient exposure to skin damage factors. For example, patients who usually live in cooler and / or cloudier climates and frequent vacation to sunny destinations may be found to be at high risk for skin damage factors caused by sun exposure . In another example, patients living in areas with very cold climates can be found to be at high risk for skin damage due to exposure to extreme cold.

The value or metric indicative of the cumulative exposure to skin damage factors may be anticipated and / or estimated, for example, as a biased function based on skin damage factors of known and / or speculated patient locations. For example, a patient who lived near the equator for many years but now lives in a cold, cloudy country may have accumulated enough sun damage.

Referring back to block 104 of FIG. 1, additional external data may be collected and associated with patient related data. Additional external data may be used to train the statistical classifier to determine the treatment plan, as stated herein. Additional external data may be obtained, for example, from external servers (e.g., storing publicly available data such as measured radiation levels and weather data) and / or from external servers (e.g., May be collected from external sensors that are accessible to the mobile device 204 (e.g., at the user's home and / or company that measures the level of contamination of the mobile device 204).

A user may use a webpage managed by, for example, a GUI (e.g., 220 and / or 236) provided on the screen and / or managed by a website, (Eg, gym attendance), food consumption, alcohol consumption, and details of smoking (eg, how much cigarettes are bloomed per day Age, height, weight, entered manually into the skin condition (e.g., selected from the items of skin conditions), the details of sleeping (e.g., how much time sleep at night) (E. G., Bacteriological analysis), physical measurements (e. G., Blood pressure, pulse, blood sugar), allergy < / RTI > , Other medical conditions, and previously attempted The discrete garment (e. G., Have positive or negative effect of each treatment) can be manually enter the additional data. The manually entered additional data can be used to train a statistical classifier for selecting a treatment plan, for example, by identifying other users (e.g., according to correlation metrics) similar to current users, and / (For example, users who eat fat-rich foods can be much easier to become oily skin that can help them determine their treatment plans accordingly).

Optionally, the user can quickly give subjective feedback on the effectiveness of the treatment (e.g., using the GUI provided in the (220) and / or (236) screens). For example, the following questions: Do you feel your skin improve after using the procedure? Are you satisfied with the state of the current treatment? Do you want to improve your treatment? Do you feel that your treatment makes your skin worse than without treatment ? on The given subjective data can be used to train the classifier to determine effective treatments by answering yes / no (or using satisfaction values). In order to determine whether the user's perception is based on actual skin changes or not, for example, to ascertain whether the treatment is actually effective or the result of a placebo effect, Quot;) < / RTI > of the skin).

At 106, a treatment plan is generated for the patient. The treatment plan includes the location of the skin treatment applicator in front of a portion of the patient's facial skin, the current facial skin profile as described with reference to Fig. 3, past records as described with reference to Fig. 4, and / (E.g., the patient's body weight, blood pressure, alcohol consumption, and exercise), and / or other data as described herein do.

The treatment plan may include one or more steps. The steps may be selected together, or each step may be selected based on additional data collected prior to application of the step, and / or the steps may be further adapted based on the collected data. An exemplary treatment plan may include a preparation step and a treatment step (e.g., a substance for achieving energy transport or treatment effects), such as cleaning, widening the port.

The preparation step can be carried out by applying a peeling effect to the skin (e.g., mechanical effects such as a brush, chemical effects by application of a lotion, massaging by a massage element, and / Heating). ≪ / RTI > Filling may be selectively applied to a portion of the face, for example, for 1 to 20 seconds, or during other time periods.

The treatment plan may include post-treatment steps that may be selected to narrow the pores. The post-treatment steps may include, for example, application of a low temperature (for example, by application elements that become cool), massage (for punching pores), applying cosmetic materials, or others.

The treatment plan may include various steps that may be defined in sequence and / or interspersed (e.g., to be applied simultaneously). Each step may define the application of treatment by one or more treatment elements, depending on the treatment profile (e.g., the applied force, the time it takes to apply the treatment, the portion of the skin to which the treatment is applied) . Different portions of the face may have different steps and / or different treatment plans, and / or may share common steps and / or treatment plans. Each patient is provided with a customized treatment plan. The customized plan may be adjusted according to current patient conditions, such as the current state of the patient's skin as stated herein.

A treatment plan may be selected for each period and / or may be applied to various periods, for example, one event plan, a daily plan (e.g., morning and evening), a weekly plan, and a monthly plan. The treatment plan can be predetermined for various periods without adjustment of the plan during periods. The treatment plan can be determined in various periods and / or can be adjusted in time intervals (e.g., adjusted by all treatment periods or user preferences).

The treatment plan may include non-treatment plans, depending on the face portions. Each face part, or a group of face parts, may be associated with a treatment plan. For example, as discussed herein, different points in the skin characteristics between the facial parts can be followed.

A treatment plan may be provided to the users for authorization, for example, a screen in a graphical user interface (GUI) requesting the user to approve the download of the treatment plan commands to the skin treatment applicator 202 The user interface 236 of the mobile device 204) may optionally be provided. The user can be allowed to manually intervene in the treatment plan. The user may use the GUI to refine the steps of the treatment plan, and / or to add additional steps of the treatment plan, to adjust some of the treatment (e.g., steps). The user can review the collected data for which the treatment plan is selected. The user can approve the collected data to the correct, display the incorrect data (and can enter the correct data), and / or cancel the data. Alternatively, the treatment plan can not be changed manually by the user.

As used herein, a term classifier (or statistical classifier), such as a statistical classifier, a regression function, a look-up table, decision tree learning, artificial neural networks, data modeling methods, Bayesian networks, or otherwise. The term " predictive model "

Alternatively, based on the machine learning algorithm (s) using training data from a number of different patients using different treatment plans, a treatment plan may be provided (e.g., for each processing unit 210 and / or 206) And / or stored in the data store 224 and / or 238 executed by the other part and / or as code instructions in the external server 232). Data from a number of different patients can be synthesized and analyzed, and based on the experience of other patients using different treatment plans (e.g., using cluster analysis methods such as K-means clustering analysis) Can be used to calculate a treatment plan for. If so, whether or not the treatment is associated with a particular technology, the material used, the duration, frequency, power, or any other variables can determine whether the features of the cluster most relevant to such user characteristics can be determined, , The treatment may be based on a particular cluster.

Other patients may have one or more of the characteristics associated with the user, such as age, gender, geographic location, skin profile (e.g., as measured by sensor data) And / or a genetic profile.

Alternatively or additionally, the treatment plan may be based on a machine learning algorithm (s) using training data from the same patient (based on previous experience of the same patient) (Same or different classifiers). In this way, experiences from other patients can be learned to adjust the current patient ' s treatment and / or by, for example, avoiding repeating previous mistakes in the treatment selection, and / Current patient experiences are learned to adjust treatment.

The classifier may be configured to compare the current facial skin profile previously learned for different patients and / or facial skin part (s) previously obtained for the current patient, different patients and / or the current patient, and / May be trained using one or more training sets of past records and / or predictions for the patient.

The classifier may provide data collected from each patient over multiple time periods (e.g., in each treatment period) over a time range of, for example, one day, one week, one month, and one year (For example, as described herein).

Data collected over a range of time may be useful for short- and / or long-term treatment, such as for two years of specific treatment applications that have resulted in statistically significant improvements for patients with certain characteristics (e.g. female office workers, 50 to 60 years old) And / or to identify long term trends (e.g., using cluster analysis methods or using other machine learning methods).

At block 108, the instructions are determined to operate the skin treatment applicator 202 in accordance with a treatment plan.

The instructions may be used to determine how long a particular applicator element 216 (s) applies to which treatment, e.g., the applicator order of treatments, the frequency of concurrently used applicators and / or treatments (e.g., Stop for 5 minutes and reapply for 2 minutes). The different applicator elements 216 may be used individually, simultaneously, and / or at different steps of treatment.

The instructions for activating the treatment applicator may include instructions for applying the skin treatment applicator and portions of the facial skin, the current facial skin profile, sun exposure predictors (and / or past records and / or predicted records) and / Automatically selected from a data set (dataset) that maps between different instructions for activating one or more of the predicted combined measurements or values representative of the current facial skin profile, and / or a set of solar exposure predictors .

The instructions and / or mapping data sets may be stored in the data store 238 of the mobile device 204, near the data store 224 of the skin treatment applicator 202, and / or remotely to the server. The instructions may include automatic instructions (e.g., codes or other machine readable formats) for execution by the processing unit 210 of the skin treatment applicator 202. The instructions may include, for example, manual instructions that are presented to the user of the mobile device 204 and / or presented to a screen of the mobile device 204, for example. The commands may be stored, for example, in a script, in an edited code, in a series of values corresponding to the parameter, and / or in a human readable format.

Optionally, the instructions may include instructions to cause the patient to enter or replace one or more selected materials (e.g., cream, liquid, lotion), optionally with a selected concentration or dosage, or to replace one or more capsules (In a manner to display on the display of the mobile device 204 and / or the skin treatment applicator 202) for inserting the skin treatment applicator 202 into the cosmetic material container 218 of the skin treatment applicator 202. The presence of the cosmetic material may be detected automatically by the skin treatment applicator 202 (e.g., using a tag or other methods) and / or may be detected by the user (e.g., 218) using a GUI or other button to confirm the presence of the cosmetic material).

Alternatively, the instructions for actuating the skin treatment applicator 202 may be applied to the skin, such as by the amount of each material, the concentration required, the method of administration of the material (e.g., by each application element 216) (E. G., Any lotion or other ingredients for binding, the ratio of each substance in the combination, the amount of the first substance applied (e. G. And then applying the second material or mixing the first material as before mixing the second material). The skin treatment applicator 202 may comprise, for example, a blending element for mixing the amount of each cosmetic material with 40% of the first material and 60% of the second material, according to instructions.

When the selected cosmetic material is not present in the container 218 of the cosmetic material, the user may, for example, provide a visual message and / or microphone (e.g., a user interface 220 of the skin treatment applicator 202 and / May be stimulated to insert the selected cosmetic material into the cosmetic material container 218 by the audio commands reproduced by the user interface (236) of the device (204).

Alternatively or additionally, the instructions for actuating the treatment applicator include instructions for adapting to a light or laser transmission pattern applied by the laser and / or light source execution of the applicator element 216. One or more parameters of the applied light or laser transmission pattern are adapted. The parameter (s) include one or more of frequency, timing, phase, and / or amplitude.

Alternatively or additionally, the instructions include instructions for adapting to a radio frequency (RF) transmission pattern applied by an RF source implementation of the applicator element 216. [ One or more parameters of the RF transmission pattern are adapted to include frequency, timing, phase, and / or amplitude.

Alternatively or additionally, the instructions include instructions for adapting to the ultrasonic transmission pattern applied by the ultrasonic source execution of the applicator element 216. One or more parameters of the ultrasonic transmission pattern are adapted to include frequency, timing, phase, amplitude, cleaning intensity, and / or strength to widen the pores.

The instructions for activating treatment application may include commands for applying heat to the skin, for example, by controlling the application of RF, light, laser, or other energy. Adding heat can be selected to increase blood circulation or widen the pores. The application of heat may be selected to enhance the absorbency of the selected cosmetic agents applied by the skin treatment applicator.

The instructions may include instructions for applying a localized mass to a portion of the face, e.g., by a mass applicator element 216 (s), such as a ball, a rolling ball, a rotating member, a brush, a non-smooth surface, or other elements. The massage applicator elements 216 are designed (e.g., such as direction of action, surface features) to apply skin sagging, local pressure, beating, and electroporation. Massage can be selected to facilitate cell regeneration, for example, by applying to massages before, after, and / or concurrently with the application of cosmetic agents.

At 110, the skin treatment applicator 202 is indicated according to determined instructions. The determined commands may be transmitted to the skin treatment applicator 202 by the mobile device 204 over a short range wireless communication channel (e.g., established between the mobile interface 226 and the applicator communication interface 222) . The instructions may be stored in the program storage 212 and may be stored in the processing unit 202 of the skin treatment applicator 202, for example, by activating one or more application elements 216 in accordance with a treatment plan to apply energy and / (Not shown).

It is noted that when the communication channel between the skin treatment applicator 202 and the mobile device 204 is not available, the past treatments and / or previously used commands may be used to apply the treatment. When the communication is restored, the updated instructions can be downloaded from the mobile device 204 and executed.

Optionally, the instructions include additional instructions to provide the user with recommendations that can not be performed by the skin treatment applicator 202, such as taking a break, drinking a drink, and staying in the shade. Additional instructions may include recommendations for visiting a dermatologist or a skin care professional, such as a cosmetic manufacturer, when the data analysis (e.g., block 104) appears as an exacerbation in terms of the treatments applied over time . The collected and / or analyzed data may be transmitted to a remote server for review and / or analysis by experts.

Additional instructions may be provided to the user using the reproduced audio commands using the GUI and / or microphone (e.g., user interface 220 and / or 236) provided on the screen. Additional commands may be manual steps within the determined treatment plan, such as, for example, instructing the user to wash his face. The user can use the GUI to indicate when the manual step has been completed. The skin treatment applicator 202 can automatically manage skin treatment before and / or after the manual step.

At 112, one or more blocks 102-110 may be repeated to adjust the treatment plan and / or to select a new treatment plan. New and / or adjusted instructions are provided to the skin treatment applicator 202.

The repetition of blocks 102-110 may be accomplished, for example, by the user having the skin treatment applicator 202 across different faces of his or her face (e.g., to deliver different parts of the treatment plan to different face parts) (E.g., once a day, once a week, once a month, once a month), and / or at different times of time and / or for other events Can be carried out as if they were moving along the lines.

The repetitions of one or more blocks 102-110 may be used to determine the skin condition of the patient based on user selection and / or based on events (e.g., changes that are significant to skin conditions and / or environmental characteristics) And may be considered as a loop that is repeated to adjust treatment plans, and / or to apply treatment plans over time, e.g., once a day, once a week, once a month.

Alternatively, some of the blocks are repeated to observe the skin condition of the patient, without necessarily applying the treatment. For example, blocks 102-104 are repeated to observe the current skin condition of the patient. A treatment plan can be determined as needed, for example, when the patient's current skin condition changes statistically in relation to one or more previous state measurements (e.g., measured by a correlation function) and / Or may be adjusted (e.g., blocks 106-110).

The statements of various embodiments of the invention have been presented for purposes of illustration, but are not intended to be exhaustive or to the described embodiments. Many modifications and variations will become apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. It is to be understood that the terminology used herein is for the purpose of describing best embodiments of the principles, practical applications, or technical improvements of the embodiments, as practiced on the market, It was chosen to enable others with knowledge.

Many related skin care applicators, sensors, application elements, and mobile devices will develop during the lifetime of the patent that develops from this application, and the range of skin treatment applicators, sensors, application elements, and mobile devices It is expected to be intended to include everything like deductive new technology.

As used herein, the term " about "refers to +/- 10%.

&Quot; comprises, "" comprising, " The terms " including ", " having ", and their singular terms mean "including but not limited to. This term encompasses terms such as " consisting of "and" consisting essentially of. &Quot;

The phrase "comprising essentially" means that the constituent or method may include additional elements and / or steps, but it will be understood that additional elements and / or steps may be included in the basic or novel features of the substantially- It only means if it does not change.

As used herein, the singular forms "a", "an" and "the" include plural references unless the context clearly dictates otherwise. For example, the term " a compound "or" at least one compound "may include a number of compounds including mixtures thereof.

The word "exemplary" is used herein to mean "serving as an example, instance, or illustration. &Quot; It should be understood that any embodiment described as "being a good example " is not necessarily to be construed as preferred and advantageous over other embodiments and / or to exclude combinations of features from other embodiments.

The word "optionally" is used herein to mean "provided in some embodiments and not in other embodiments. &Quot; Certain embodiments of the invention may include a number of "optional" features, without conflicts of features.

During this application, various embodiments of the present invention may be provided in a range format. It is to be understood that the statements in the scope format are merely for convenience and brevity and should not be construed as limitations that can not be altered by the scope of the invention. Accordingly, a statement of range should be considered to clearly reveal each numerical value within the range as well as all possible subranges. For example, statements ranging from 1 to 6 include sub-ranges such as 1 to 3, 1 to 4, 1 to 5, 2 to 4, 2 to 6, 3 to 6, Numerical values of, for example, 1, 2, 3, 4, 5 and 6, should be considered to be evident. This applies irrespective of the width of the range.

Whenever a numerical value appears here, it is meant to include any quoted number (fractional or integral) within the indicated range. Range / range ranges from the first command number to the second command number "to the second command number" are alternately used here and the first and second command numbers It is meant to include two instruction numbers and all fractions and integers between them.

It is appreciated that for the sake of clarity certain features of the invention as set forth in the context of separate embodiments may also be provided in combination with one embodiment. Conversely, for the sake of brevity, various features of the invention described in the context of one embodiment may also be provided separately or in any suitable subcombination or in accordance with any other stated embodiment of the invention. Certain features set forth in the context of various embodiments will not be considered essential features of those embodiments unless the embodiment is available without such elements.

It is evident that many alternatives, modifications and variations will be apparent to those of ordinary skill in the art, even though the invention has been described with specific embodiments thereof. Accordingly, it is intended to embrace all alternatives, modifications and variations that fall within the spirit and broaden the scope of the appended claims.

All publications, patents, and patent applications mentioned in this document are incorporated by reference in their entirety into the same extent as if they were individually and individually indicated to be incorporated by reference in their individual publications, patents or patent applications. do. Moreover, the citation or identification of any reference in this application will not be construed as an admission that such reference is available prior to the present invention.

Until the section headings are used, they should not be construed as necessarily limiting.

Claims (38)

A method for dynamically adapting to facial treatment based on a current facial skin profile,
Using at least one sensor to measure at least one current value of at least one variable skin characteristic of the face skin of the patient;
Obtaining at least one personal skin characteristic of the facial skin of the patient;
Calculating a current facial skin condition of the patient according to at least one personal skin characteristic and at least one current value;
Determining instructions for operating the treatment applicator according to the current facial skin condition; And
And instructing the treatment applicator in accordance with the instructions. The method according to claim 1,
Wherein calculating the current facial skin condition of the patient is performed based on code executing a machine learning algorithm trained using a training set storing at least one facial skin feature for each of a plurality of different patients. 3. The method of claim 2,
Wherein the training set stores at least one calculated current facial skin condition for each of a plurality of different patients wherein the at least one current facial skin condition comprises at least one variable skin characteristic and at least one individual Wherein the at least one measured current value is calculated based on at least one measured current value for skin features. The method according to claim 1,
Further comprising obtaining at least one environmental condition feature;
Wherein the current facial skin condition of the patient is calculated according to at least one personal skin characteristic, at least one current value, and at least one environmental condition feature, wherein the at least one environmental condition feature is selected from the group consisting of a humidity forecast, a temperature forecast, , Contamination level, radioactivity level, and UV index. 5. The method of claim 4,
Obtaining location data indicating a current location of the patient, and using the current location to obtain at least one environmental condition feature. The method according to claim 1,
Performing an analysis of past records indicative of the locations of the patient in a predefined period prior to the calculation of the current facial skin condition;
Wherein the patient's current facial skin condition is calculated according to at least one personal skin characteristic and at least one current value and the outcome of the analysis. The method according to claim 1,
Performing an analysis of predictive records indicative of a patient ' s future locations in a predefined period prior to the calculation of the current facial skin condition;
Wherein the patient's current facial skin condition is calculated according to at least one personal skin characteristic and at least one current value and the outcome of the analysis. The method according to claim 1,
Wherein said directing comprises instructions for injecting at least one removable capsule comprising at least one selected material or at least one selected material. The method according to claim 1,
Wherein the at least one sensor comprises an image sensor. The method according to claim 1,
Wherein the at least one sensor comprises a skin moisture detector. The method according to claim 1,
Wherein the at least one sensor comprises a skin elasticity detector. The method according to claim 1,
Wherein the at least one individual skin characteristic is selected from the group consisting of skin color, skin shadow, genetic information, and skin type. The method according to claim 1,
Wherein instructions for actuating a treatment applicator include instructions for controlling at least one of an amount, a type, a concentration, and a combination of at least one applied material. The method according to claim 1,
Wherein instructions for actuating the treatment applicator include instructions for adapting to an applied light or laser transmission pattern. 15. The method of claim 14,
Wherein at least one parameter relating to the applied light or laser transmission pattern is adapted, the at least one parameter being selected from the group consisting of frequency, timing, phase, and amplitude. The method according to claim 1,
Instructions for activating a treatment applicator include instructions for adapting a radio frequency (RF) transmission pattern by adapting to at least one parameter selected from the group consisting of frequency, timing, phase, and amplitude. The method according to claim 1,
Instructions for operating the treatment applicator include instructions for adapting the ultrasonic transmission pattern by adapting to at least one parameter selected from the group consisting of frequency, timing, phase, amplitude, cleaning intensity, and pore expansion intensity. A system for dynamically adapting a face treatment based on a current facial skin profile,
At least one sensor for measuring at least one current value for at least one skin characteristic relating to the face skin of the patient;
A treatment applicator including at least one applicator element for applying treatment to a face of the patient;
A communication unit for receiving data from a database storing data associated with a plurality of patients;
A program repository to store code; And
And a processor coupled to the at least one sensor, the communication unit, and the program storage for executing the stored code,
The code includes:
Code instructions for obtaining at least one personal skin feature of the patient's face skin from at least one current value,
Code commands for calculating a patient's current facial skin condition according to at least one personal skin characteristic and data associated with a plurality of patients,
Code instructions for determining treatment instructions for operating the treatment applicator according to the current facial skin condition; And
And code instructions for indicating a treatment applicator according to the treatment instructions. 19. The method of claim 18,
The treatment applicator includes at least one sensor,
Wherein the treatment applicator further comprises an applicator communication interface for wirelessly communicating with a mobile device comprising a program storage and stored code,
Wherein the treatment applicator transmits at least one current value to the mobile device and receives the determined treatment command from the mobile device. 19. The method of claim 18,
Wherein the treatment applicator further comprises a material container for storing at least one removable capsule each comprising at least one cosmetic material for application by at least one applicator element according to determined treatment instructions. 21. The method of claim 20,
The treatment applicator comprises:
A tag reader that reads a tag located in at least one removable capsule that stores information about the cosmetic material stored in each capsule; And code instructions stored in memory for execution by the at least one processor,
Wherein the code instruction identifies the at least one removable capsule as a new or persistent capsule, respectively. 21. The method of claim 20,
Wherein the treatment applicator further comprises code instructions stored in memory for execution by the at least one processor,
Wherein the code command calculates the remaining amount of at least one cosmetic material or the number of remaining treatments in each of the at least one removable capsule, depending on the calculated amount of the at least one cosmetic material. 21. The method of claim 20,
Wherein the determined treatment commands comprise instructions for controlling at least one of the amount, concentration, method of administration, and association with at least one other cosmetic material of each cosmetic. 19. The method of claim 18,
Wherein the calculating of the patient's current facial skin condition is performed based on code executing a machine learning algorithm trained using a training set that stores at least one facial skin feature for each of a plurality of different patients. 25. The method of claim 24,
Wherein the training set stores at least one calculated current facial skin condition for each of a plurality of different patients, wherein the current facial skin condition comprises at least one current value measured for at least one variable skin characteristic, Of the at least one individual skin characteristic of the at least one individual. 19. The method of claim 18,
Further comprising code for obtaining at least one environmental condition feature by connecting to a server across a network;
Wherein the patient's current facial skin condition is calculated according to at least one personal skin feature, at least one current value, and at least one environmental condition feature, and wherein the at least one environmental condition feature is selected from the group consisting of a humidity forecast, a temperature forecast, A pollution level, a radioactivity level, and an ultraviolet ray index. 27. The method of claim 26,
Further comprising a geographic location element that provides location data indicating a current location of the patient, and further comprising code that uses the current location to obtain at least one environmental condition feature. 27. The method of claim 26,
Further comprising code for performing an analysis of past or anticipated records indicating the locations of the patient in a predefined period of time before or after calculating the current facial skin condition or treatment commands;
Wherein the current facial skin condition or treatment instructions of the patient are calculated according to at least one personal skin characteristic and at least one current value and the outcome of the analysis. 21. The method of claim 20,
Further comprising code for providing a message on the screen to the user to dispense at least one removable capsule comprising at least one selected cosmetic material or at least one selected cosmetic material. 19. The method of claim 18,
Wherein at least one sensor comprises an image sensor. 19. The method of claim 18,
Wherein the at least one sensor comprises a skin moisture detector and a skin elasticity detector. 19. The method of claim 18,
Wherein the at least one personal skin feature is selected from the group consisting of skin color, skin shadow, genetic information, and skin type. 19. The method of claim 18,
Instructions for operating the treatment applicator include instructions for adapting to a light or laser transmission pattern applied by at least one applicator element based on at least one parameter selected from the group consisting of frequency, timing, phase, and amplitude . 19. The method of claim 18,
Instructions for actuating the treatment applicator include instructions for adapting to at least one parameter of a radio frequency (RF) transmission pattern or an ultrasonic transmission pattern by at least one applicator element, wherein the at least one parameter comprises at least one of frequency, And an amplitude. A capsule for a system for providing facial treatment,
The capsule comprising a cosmetic material and an electronically identifiable identifier;
A system for providing facial treatment includes:
At least one sensor for measuring at least one current value of at least one skin characteristic of the patient's face skin; And
And a treatment applicator comprising at least one applicator element for applying a substance to the face skin of the patient from the capsule. A method of dynamically adapting to facial treatment based on expected exposure to skin damage factors,
Past records indicating the patient's locations in a predefined past period,
Patient's daily life;
Performing an analysis of at least one of the predicted records indicative of the patient ' s future locations in a predefined future period;
Calculating a treatment plan for the patient according to the result of the analysis;
Determining instructions for activating a treatment applicator according to a treatment plan; And
Directing a treatment applicator according to instructions;
Wherein at least one of historical records and predicted records is collected using a monitoring module executed by at least one processor of the mobile device associated with the patient. 37. The method of claim 36,
Wherein the step of computing a treatment plan is performed based on code that uses a training set of at least one of historical records and predictive records associated with the same patient for which the instructions are to be determined and which executes the trained machine learning algorithm. 37. The method of claim 36,
The step of computing a treatment plan includes the steps of generating a code for executing a machine learning algorithm trained using at least one training set of historical records and predictions records associated with a plurality of patients different from the patient for which the instructions are to be determined ≪ / RTI >

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