WO2020104625A1 - Procédé pour la détection et l'évaluation de l'état du métabolisme d'une personne testée - Google Patents

Procédé pour la détection et l'évaluation de l'état du métabolisme d'une personne testée

Info

Publication number
WO2020104625A1
WO2020104625A1 PCT/EP2019/082157 EP2019082157W WO2020104625A1 WO 2020104625 A1 WO2020104625 A1 WO 2020104625A1 EP 2019082157 W EP2019082157 W EP 2019082157W WO 2020104625 A1 WO2020104625 A1 WO 2020104625A1
Authority
WO
WIPO (PCT)
Prior art keywords
software
eye
test person
metabolism
evaluation
Prior art date
Application number
PCT/EP2019/082157
Other languages
German (de)
English (en)
Inventor
Wolf GERMANI
Original Assignee
Germani Wolf
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Germani Wolf filed Critical Germani Wolf
Publication of WO2020104625A1 publication Critical patent/WO2020104625A1/fr

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/163—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state by tracking eye movement, gaze, or pupil change
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118—Determining activity level
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
    • A61B2505/09—Rehabilitation or training
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/1032—Determining colour for diagnostic purposes
    • A61B5/1034—Determining colour for diagnostic purposes by means of colour cards
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers

Definitions

  • the present invention relates to a method for detecting and
  • the subject is not yet under the influence of diseases while a second photo or video sequence is being taken, while the subject may be under the influence of a disease to be detected.
  • Differences in the structure of the eyes such as the diameter of a blood vessel or the opening of the pupil or the speed of eye movements, can be used to infer the presence of a disease.
  • slowing eye movement may indicate concussion.
  • this document does not contain any evidence of an identification of a
  • Ketone bodies in the test subject's blood Ketone bodies in the test subject's blood.
  • Ketone bodies are permanently present in the blood. According to the
  • the prevailing medical teaching is only relevant if they occur in a higher concentration, such as during fasting, diabetes or during competitive sports. In addition, they are not considered to be of significant importance.
  • the present invention assumes that the fast energy sources are essential for the functions of the brain, nerves and muscles, because they maintain their performance.
  • Ketone bodies are understood to mean acetoacetate (acetoacetate), acetone and beta-hydroxybutyrate. (Beta-hydroxybutyric acid, 3-hydroxybutyrate).
  • a number of hormones, especially somatropin (growth hormone), adrenaline, noradrenaline, testosterone and dopamine are required for the formation of fast energy sources. These hormones are summarized below under the term “HEH” (Human Energy Hormones).
  • the opponent is insulin, which blocks HEH and prevents the formation of fast energy sources.
  • the carbohydrates and fats absorbed through food enter the blood via the gastrointestinal tract as glucose and triglycerides.
  • the body uses insulin to convert what is not consumed into body fat, which is stored. Part of the body fat can be metabolized back to glucose and triglycerides.
  • the liver constantly forms part of the body fat
  • Ketone bodies that effortlessly cross the blood-brain barrier and are therefore available to the brain as a fast source of energy.
  • the fast energy sources generated in this way cannot be stored again. They are either consumed by the body or excreted in the urine. However, the production of ketone bodies is reduced immediately if there is sufficient glucose in the blood, and the higher the blood sugar level increases, the more so.
  • glucose and triglycerides are the main energy sources in the energy metabolism of the human organism.
  • the energy metabolism is mainly characterized by gluconeogenesis and lipase. If there is an excess of glucose (more than about 120 mmol / l) or triglycerides (more than about 150 mmol / l) in the blood, the excess energy is reduced
  • ketone bodies which are produced by the liver and provided as fast energy sources, are always present.
  • Ketone bodies perceived negatively because they supposedly have one
  • the current concentration of ketone bodies in the blood can be determined using
  • Test strips are detected.
  • This detection method has the disadvantage that the test subject's blood and test strips are required for this.
  • the test subject's body has to be interfered with and a test strip has to be provided, which is used up during the detection.
  • the object of the invention is therefore to provide a method for evaluating the metabolic state of a test person, which can be carried out without intervention in the human body and without consumables.
  • the invention solves the problem in that an activity indicator determined for the strength of the activity of the eye movements is used as a relative value for the concentration of ketone bodies in the blood, taking into account that an increase in the concentration of ketone bodies in the blood leads to a faster and / or more frequent Movement of the test person's eyes leads as at low concentration.
  • the activity indicator gives information about the metabolic state of the test person, namely whether the concentration of ketone bodies in the blood is higher or lower than one or more comparison values.
  • the comparison values can be “normal values” of the test person or statistically determined normal values of a group of test persons in one
  • the defined state comes, for example, “after sufficient food intake” or “after a lack of food for a certain period” or "under extreme physical
  • Ketone bodies or“ Ketone bodies play a subordinate / no role in the current metabolism ”.
  • the activity indicator alone, it can be determined in practice and particularly conveniently using a smartphone, whether for example a diet or a sporty one
  • Metabolic state is suitable to achieve particularly good learning performance, or rather not.
  • a metabolic state with increased ketone fat burning arises automatically during a lack of food. If a person eats little or no food, a deficiency occurs, which leads to a reduction in the concentration of glucose in the blood (low blood sugar).
  • the fat burning is increased, whereby the liver produces ketone bodies from the body fat. This increases the concentration of ketone bodies in the blood. This in turn leads to improved mental performance and faster and / or more frequent movement of the test person's eyes than in a low-concentration metabolic state.
  • the invention has recognized that ketone fat burning is particularly important for the human body to be fast
  • Ketone bodies are the down energy carriers for the nerves and the brain. The mental performance is improved with advantage. With predominantly ketone fat burning, people learn faster, remember what they have learned and achieve better results in tests
  • Video camera are recorded and that the individual
  • Evaluation of recorded and digitized video sequences of the video camera can be calculated with the aid of an evaluation computer, which uses eye detection software
  • Activity detection software and optionally via a
  • a suitable software or app can be used to evaluate the devices without any problems.
  • the method according to the invention can be implemented solely by providing the specific software.
  • Activity determination software when evaluating the eye movements, the speeds of the individual eye movements and / or their directions and / or their frequency within a given
  • the activity detection software can Calculate and assess eye activity in different ways, preferably pass it on to the metabolism assessment software.
  • the metabolism assessment software can Calculate and assess eye activity in different ways, preferably pass it on to the metabolism assessment software.
  • Activity detection software also includes eye blinking, so the frequency of eye blinking within a given
  • Time interval can be included in the assessment of the activity.
  • the eye recognition software preferably recognizes the location of a pupil of an eye in a digitally available single image of the video camera.
  • the pupil is usually easy to distinguish from the rest of the eye, so the location of the eye can be determined more precisely.
  • the activity determination software have a
  • Speed determination software which, by evaluating the recorded and digitized image sequences of the video camera, determines the individual speeds of the respective eye movements from the locations of the pupil recognized in the individual images and the time lapse between the recording times of the individual images of a video sequence and calculates an average eye speed, after which, for example, the metabolism evaluation software calculates the average Eye speed is used as an activity indicator and from it the energy share delivered by the ketone body in total
  • Increasing the concentration of ketone bodies leads to faster movement of the test person's eyes.
  • This procedure can be programmed with little effort, because eye recognition software, which can also be used to determine the location of the eyes in the image, already exists.
  • the smallest unit of time when evaluating a video sequence is the time interval between two successive images. This is predetermined by the recording technique and must therefore be taken advantage of the speed determination software can no longer be determined. The speed determination can therefore focus on determining the different locations of the pupil of the eye of two
  • Average speed can be used in the same unit.
  • Flow determination software that the individual Eye movements count within a given time interval and their number defines the frequency of eye movements, for example that the metabolism evaluation software uses the frequency of eye movements defined in this way as an activity indicator and uses this to determine the energy share of the total energy metabolism delivered by ketone bodies, taking into account that a higher number of eye movements within a time interval indicates an increased concentration of ketone bodies in the blood.
  • An increased activity of the eye movements manifests itself not only in the speeds of individual eye movements, but also in their frequency within a given time interval. Therefore, a higher number of eye movements within a time interval can indicate increased activity.
  • Eye movements can be carried out with simple means if the individual eye movements can be distinguished from one another.
  • the frequency determination software distinguishes an eye movement from other eye movements by counting a new eye movement whenever the direction of the eye movements changes or a standstill of the eyes is determined.
  • an advantageous measure is recommended, according to which the
  • Analyzes partial movement of the eyes determines their direction and counts all partial movements pointing in the same direction together as a single eye movement when determining the frequency.
  • the camera of a smartphone, tablet computer, laptop, notebook or desktop computer, in particular a PC is used as the video camera used.
  • Activity determination software with the speed determination software or the frequency determination software and optionally the
  • Evaluation computer serving smartphone, tablet computer, laptop, notebook or desktop computer, in particular PC, is installed, preferably after downloading from the Internet.
  • a room surveillance camera is used as the video camera and the software required for evaluating the metabolic state, in particular the eye recognition software
  • Activity determination software with the speed determination software or the frequency determination software and optionally the
  • Evaluation computer is installed. Such is an advantage
  • Surveillance cameras either usually already exist or can be procured and installed inexpensively.
  • any of the devices mentioned in the previous paragraph can be used again.
  • This measure also has the advantage that the method according to the invention can be applied to a large number of test persons who are located in the recording area of the surveillance camera, in particular if it is a group such as a school class or another audience that has come together, to listen to a lecture and learn something.
  • Facial recognition software by means of which the images of
  • Video sequences of the room surveillance camera are evaluated in order to recognize individual test subjects, individualize them and their respective eye movements with those for the evaluation of the
  • Metabolic state determined and related to the particular mental performance of each person. In this way, scientific knowledge, in particular statistical values relating to the learning success in different metabolic states, can be obtained in a simple manner and advantageously from a larger group of subjects.
  • the reliability of the results obtained by the method according to the invention can be further improved by determining the color intensity of the urine of the test person mentioned and entering it in the evaluation computer and the
  • Metabolism evaluation software from the determined intensity of the yellowing of the urine determines the energy share delivered by ketone bodies in the total energy metabolism. Since both the
  • the color intensity of the urine can be determined by the test person mentioned by means of visual inspection
  • Evaluation computer is entered.
  • the measure mentioned can be made even easier by displaying the color intensity map on a monitor, display or touchscreen of the evaluation computer and manually entering the test person mentioned by clicking or touching a field on the color intensity map whose color intensity corresponds to that of the urine to be assessed.
  • an alternative and even more convenient measure provides that the color intensity of the urine is automatically determined by the metabolism evaluation software of the evaluation computer from a digitized image of the urine recorded by an electronic camera, preferably a reference card with one or more
  • Color intensities are included as part of the image mentioned.
  • the results obtained by means of the metabolism evaluation software are entered into the data by additional input of data on the food intake as well as the mental and physical performance of the test person mentioned
  • Metabolism assessment software calibrated to the results to be expected from the additional data.
  • mobile devices such as smartphones, wristwatches, electronic
  • Metabolism assessment software can be used. The data mentioned are already digitized and can therefore be used without any further
  • the method according to the invention described above can advantageously be used to increase the mental performance of a test person, in that the learning units to be completed by the test person and / or examinations during a state with increased
  • Test person also includes a computer program or app for a smartphone, a tablet computer, a laptop, a notebook, a desktop computer or another computer which
  • Metabolism assessment software and optionally one
  • Facial recognition software includes.
  • Food and beverages recognizes the individual foods or beverages by means of barcode reading software and / or image recognition software and determines individual nutritional values of the food or beverages recognized in this way from a nutritional table and stores them together with the times of food intake, preferably in an electronic calendar. In this convenient way, the test person gradually gets a database from which the
  • the computer program or app according to the invention provides that it stores digitally available data on the body functions and performance of the test person with the times of their determination, preferably in an electronic calendar, the data mentioned in particular comprising: - the average eye speed or frequency of eye movements within a given time interval;
  • Wristwatches electronic sensor bracelets or body data worn and stored on the body with devices equipped with body sensors, for example on the chronological course of blood pressure, pulse rate, skin resistance, pH values, blood sugar levels, lactose values, cadence, distances traveled;
  • the test person can regenerate and optimize their metabolic state in a simple and convenient manner.
  • the method according to the invention described above for evaluating a metabolic state can advantageously be used to monitor the metabolic state of a test person when carrying out a method for regenerating the test person's metabolism use a reduction diet, the metabolic regeneration is characterized by the following process steps:
  • the subject takes 5 g of sodium bicarbonate and 5 g of potassium bicarbonate daily for 4 weeks and at the same time no liquid or powdered sugar and no meal with more than 6% by weight carbohydrates for 2 weeks; then 1 week no meal with more than 1% by weight carbohydrates (only fat, protein, water); -The test person takes 5 g daily for 4 weeks
  • test person takes 15 g of sodium hydrogen carbonate and 3.5 g of potassium hydrogen carbonate and trace elements, in particular niocin and biotin, for 3 weeks; in doing so, she fasts with the exclusive supply of water without dextrose, glucose or other carbohydrates;
  • test person eats normal meals, but without snacks with carbohydrates.
  • the eye movements of the test person are recorded by means of a digital video camera and the digitized images are evaluated.
  • the average Movement speed of the eyes is determined and an activity indicator for the strength of the activity of the eye movements is calculated, which is used as a relative value for a concentration of ketone bodies in the blood.
  • the camera of a smartphone, tablet computer, laptop, notebook or desktop computer, in particular a PC is advantageously used as the video camera, since these are normally readily available.
  • a software required for the assessment of the metabolic state in particular eye recognition software
  • Frequency determination software and a metabolism evaluation software is on the named smartphone, tablet computer, laptop, notebook or desktop computer serving as an evaluation computer,
  • the eye recognition software recognizes the location of a pupil of an eye in a digitally available single image of the video camera.
  • the activity determination software takes into account the speeds of the individual when evaluating eye movements
  • Speed determination software which, by evaluating the recorded and digitized image sequences of the video camera, determines the individual speeds of the respective eye movements from the locations of the pupil recognized in the individual images and the time lapse between the recording times of the individual images of a video sequence and calculated an average eye speed.
  • the metabolism assessment software uses the average eye speed as an activity indicator and uses it to determine the energy share of the total energy metabolism delivered by ketone bodies.
  • Activity determination software via a frequency determination software that the individual eye movements within a predetermined
  • Time interval counts and the number thus determined as the frequency of
  • the metabolism evaluation software uses the frequency of eye movements defined in this way as an activity indicator and uses this to determine the energy share of the total energy metabolism delivered by ketone bodies.
  • the frequency determination software distinguishes one eye movement from other eye movements by counting a new eye movement whenever the direction of the eye movements changes or when the eyes are stopped.
  • the frequency determination software analyzes the partial movement of the eyes resulting from two successive images, determines their direction and counts all partial movements pointing in the same direction when determining the frequency as a single eye movement.
  • a completely different application of the invention is to use a room surveillance camera as a video camera and to install the software required for evaluating the metabolic state, in particular the software, on an evaluation computer electronically connected to the room surveillance camera
  • the evaluation computer mentioned has a
  • Face recognition software by means of which the images from video sequences of the room surveillance camera are evaluated in order to identify individuals
  • the values determined by evaluating the eye movements can be improved or checked by determining the color intensity of the urine of the test person mentioned and in the
  • Evaluation computer enters, because this color intensity is correlated with the concentration of ketone bodies in the blood. Therefore, the
  • Yellowing of the urine determines the amount of energy delivered by the ketone body in the total energy metabolism.
  • the color intensity of the urine is determined by the test person himself by means of visual inspection
  • Color intensity map is displayed on a monitor, display or touchscreen of the evaluation computer and the test subject is manually entered by clicking or touching a field on the color intensity map whose color intensity corresponds to that of the urine to be assessed.
  • the color intensity of the urine can be determined automatically by the metabolism evaluation software of the evaluation computer from a digitized image of the urine recorded by means of an electronic camera, preferably one
  • Reference card with one or more color intensities is included as part of the image mentioned
  • the results obtained using the metabolism evaluation software can be entered by entering additional data about the
  • Concentration of ketone bodies and / or the concentration of glucose in the blood or those recorded and stored in mobile devices such as smartphones, wristwatches, electronic sensor bracelets or devices worn on the body with the help of body sensors
  • Body data of the test person mentioned for example about the temporal course of blood pressure, pulse frequency, skin resistance, pH values, blood sugar level, lactose values, step frequency,
  • Metabolism assessment software can be used.
  • the method described above can also be used to increase mental performance and / or to improve learning success or Examination results of a test person are used if the learning units to be completed by the test person and / or tests are carried out during a metabolic state with an increased concentration of ketone bodies in the blood of the test person.
  • the learning performance and the learning success of the test person can be increased if the learning units and / or tests to be completed by the test person are carried out during a state of increased eye activity, the eye activity being determined by the inventive method described above.
  • the invention consists of one
  • Computer program or app for a smartphone, a tablet computer, a laptop, a notebook, a desktop computer or another computer which, in conjunction with the digitally provided images, preferably by means of a device-specific device
  • Video camera recorded video sequence is suitable for performing a method according to one of the preceding claims and in particular an eye recognition software, a
  • Activity detection software optionally one
  • Metabolism assessment software and optionally one
  • Facial recognition software includes.
  • the computer program or the app it recognizes the individual foods or drinks by means of a barcode reading software and / or in an image of the food and drinks to be consumed by the test person, recorded by a digital camera
  • the computer program or app according to the invention provides that it stores digitally available data about the body functions and performance of the test person with the times of their determination, preferably in an electronic calendar.
  • the computer program or app selects and outputs suggestions for regeneration and / or optimization of the metabolism or for increasing the mental performance of a test person from a stored list, taking into account the stored data, the test person can regenerate and optimize their metabolic state in a simple and convenient manner.
  • a commercial embodiment of the invention is implemented as a server-client system.
  • the clients are software applications that run on all common operating systems.
  • the client hardware is either a mobile device such as a tablet, mobile phone, laptop or a standing device such as a NAS, PC or an embedded controller.
  • the client application accesses the various communication, audio and video modules of the client hardware. So the client application can do it all
  • the client application uses the connected video camera.
  • the computer can monitor the condition of the user's eyes. This can take place in the background while the user is using his smartphone for other purposes, for example when traveling on social networks, using a navigation app or surfing the Internet.
  • further information from other devices that are within range of WLAN or Bluetooth, for example that of someone pulse rate recorded in the existing fitness bracelet can be recorded permanently. If the user also does his activities and
  • the app can create a personal profile from it
  • Metabolic Age which allows a comparison with the actual age.

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  • Biophysics (AREA)
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  • Heart & Thoracic Surgery (AREA)
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  • Oral & Maxillofacial Surgery (AREA)
  • Hospice & Palliative Care (AREA)
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  • Child & Adolescent Psychology (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

Procédé pouvant être effectué avec des moyens simples sans intervention dans le corps d'une personne testée pour la détection et l'évaluation de l'état du métabolisme d'une personne testée, dans lequel les mouvements des yeux de la personne testée sont évalués et un indicateur d'activité pour l'intensité de l'activité des mouvements des yeux est déterminé, caractérisé selon l'invention en ce que l'indicateur d'activité est utilisé comme une valeur relative pour une concentration de corps cétoniques dans le sang et en ce qu'il est pris en compte qu'une augmentation de la concentration de corps cétoniques dans le sang entraîne un mouvement plus rapide et/ou plus fréquent des yeux de la personne testée qu'une concentration faible. Le procédé peut de préférence être effectué au moyen de smartphones, tablettes, ordinateurs portables, notebooks ou autres ordinateurs disponibles presque partout, au moyen de logiciels ou applications appropriés et en utilisant une caméra vidéo.
PCT/EP2019/082157 2018-11-25 2019-11-21 Procédé pour la détection et l'évaluation de l'état du métabolisme d'une personne testée WO2020104625A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102018009215.2A DE102018009215A1 (de) 2018-11-25 2018-11-25 Verfahren zur Erfassung und Bewertung des Stoffwechselzustands einer Testperson
DE102018009215.2 2018-11-25

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH085631A (ja) * 1994-06-20 1996-01-12 Hidetoshi Wakamatsu 尿検査用便器およびその便器を用いた尿成分データの検出装置
WO2006096877A1 (fr) * 2005-03-09 2006-09-14 Laufer, Michael Dispositif et procede de surveillance de glucose
US20160192873A1 (en) 2013-09-04 2016-07-07 Jmlk35 Llc Methods and Systems for the Detection of Disease
DE102016225546A1 (de) * 2015-12-24 2017-06-29 Tanita Corporation Stoffwechselauswertevorrichtung, Verfahren, und computerlesbares Speichermedium

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH085631A (ja) * 1994-06-20 1996-01-12 Hidetoshi Wakamatsu 尿検査用便器およびその便器を用いた尿成分データの検出装置
WO2006096877A1 (fr) * 2005-03-09 2006-09-14 Laufer, Michael Dispositif et procede de surveillance de glucose
US20160192873A1 (en) 2013-09-04 2016-07-07 Jmlk35 Llc Methods and Systems for the Detection of Disease
DE102016225546A1 (de) * 2015-12-24 2017-06-29 Tanita Corporation Stoffwechselauswertevorrichtung, Verfahren, und computerlesbares Speichermedium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
WHITE, H.VENKATESH, B.: "Clinical review: Ketones and brain injury", CRITICAL CARE, vol. 15, no. 219, 2011, pages 1 - 10, XP055526834

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