WO2019056606A1 - Procédé et système de génération intelligente d'un plan d'entraînement professionnel à la course à pied - Google Patents

Procédé et système de génération intelligente d'un plan d'entraînement professionnel à la course à pied Download PDF

Info

Publication number
WO2019056606A1
WO2019056606A1 PCT/CN2017/116404 CN2017116404W WO2019056606A1 WO 2019056606 A1 WO2019056606 A1 WO 2019056606A1 CN 2017116404 W CN2017116404 W CN 2017116404W WO 2019056606 A1 WO2019056606 A1 WO 2019056606A1
Authority
WO
WIPO (PCT)
Prior art keywords
age
time
heart rate
weight
training plan
Prior art date
Application number
PCT/CN2017/116404
Other languages
English (en)
Chinese (zh)
Inventor
代伟佳
Original Assignee
上海斐讯数据通信技术有限公司
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 上海斐讯数据通信技术有限公司 filed Critical 上海斐讯数据通信技术有限公司
Publication of WO2019056606A1 publication Critical patent/WO2019056606A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Definitions

  • the technical field relates to the field of mobile communications, and in particular, to a method and system for intelligently generating a professional running training plan
  • Running exercise is one of the most common forms of physical exercise that people use, mainly because running skills are simple and require no special venues, clothing or equipment. Running on the field or on the road, even in the fields and in the woods. Each person can master the speed, distance and route of running.
  • the training program has basic warm-up, body activation, anaerobic exercise, aerobic exercise, etc. Through the development of a professional training program, the user can guide the user to achieve a more scientific and healthy goal in the running process.
  • the publication No. CN105117597A discloses a method and apparatus for formulating an exercise plan, and formulates an exercise plan for the user according to the basic information of the user and the information of the exercise evaluation; and records data of the exercise plan each time the user completes the exercise plan; Re-evaluating the basic information of the user according to a preset data threshold or every preset time; re-deacting a new exercise plan for the user according to the re-evaluated basic information of the user.
  • the invention formulates a sports plan through the basic information of the user, and requires a part of the exercise equipment and the exercise prescription formulated by the doctor, and is extremely inconvenient for the general user to exercise by running the exercise.
  • the technical problem to be solved by the present invention is to provide an intelligent generation professional running training plan
  • a method of intelligently generating a professional running training program comprising the steps of:
  • S1 receiving a preset training plan and a calculation formula, and saving to a data server;
  • S2 the personal body data parameter collected by the statistical data collection device and the personal account information of the user end, and sent to the data server;
  • the acquisition data server calculates and analyzes the professional training plan according to the preset training plan and calculation formula, and sends it to the data collection device.
  • the method further includes the steps of:
  • the method further includes the steps of:
  • the calculation formula is used to calculate the result. If the gender is female, the calculation formula is:
  • GCB (-59.3954+0.45*AHR+0.38*VO2max+0.103*WEIGHT+0.274*AGE)/4.184*60*TIME;
  • NCB GCB-RMR
  • AHR represents the activity average heart rate
  • RHR represents the resting heart rate
  • MHR represents the maximum heart rate
  • AGE represents the age
  • BMR represents the basal metabolism
  • WEIGHT represents the body weight
  • HIGH means height
  • RMR means resting metabolism
  • TIME means activity time
  • VO2max means Maximum oxygen uptake
  • GCB indicates total calorie consumption
  • NCB indicates net calorie consumption.
  • the method further includes the steps of:
  • GCB (-95.7735+0.634*AHR+0.404*VO2max+0.394*WEIGHT+0.271*AGE)/4.184*60*TIME;
  • NCB GCB-RMR
  • AHR represents the activity average heart rate
  • RHR represents the resting heart rate
  • MHR represents the maximum heart rate
  • AGE represents the age
  • BMR represents the basal metabolism
  • WEIGHT represents the body weight
  • HIGH means height
  • RMR means resting metabolism
  • TIME means activity time
  • VO2max means Maximum oxygen uptake
  • GCB indicates total calorie consumption
  • NCB indicates net calorie consumption.
  • the method further includes the steps of:
  • a system for intelligently generating professional running training programs including:
  • Receiving module for receiving a preset training plan and a calculation formula, and saving to a data server;
  • Statistics module used for collecting personal body data parameters collected by the data collection device and personal account information of the user end, and transmitting to the data server;
  • the acquisition module is configured to acquire a professional training plan calculated by the data server according to a preset training plan and a calculation formula, and send the data to the data collection device.
  • Judgment module used to judge whether the parameters required in the calculation formula are collected, and if not, send a reminder instruction to continue collecting data information, including parameters of gender, age, height, weight, activity time, activity average heart rate, resting Heart rate.
  • Calculation module used to calculate the result according to the collected parameters by using a calculation formula. If the gender is female, the calculation formula is:
  • GCB (-59.3954+0.45*AHR+0.38*VO2max+0.103*WEIGHT+0.274*AGE)/4.184*60*TIME;
  • NCB GCB-RMR
  • AHR represents the activity average heart rate
  • RHR represents the resting heart rate
  • MHR represents the maximum heart rate
  • AGE represents the age
  • BMR represents the basal metabolism
  • WEIGHT represents the body weight
  • HIGH means height
  • RMR means resting metabolism
  • TIME means activity time
  • VO2max means Maximum oxygen uptake
  • GCB indicates total calorie consumption
  • NCB indicates net calorie consumption.
  • GCB (-95.7735+0.634*AHR+0.404*VO2max+0.394*WEIGHT+0.271*AGE)/4.184*60*TIME;
  • NCB GCB-RMR
  • AHR represents the activity average heart rate
  • RHR represents the resting heart rate
  • MHR represents the maximum heart rate
  • AGE represents the age
  • BMR represents the basal metabolism
  • WEIGHT represents the body weight
  • HIGH represents the height
  • RMR represents the resting metabolism
  • TIME represents the activity time
  • VO2max Indicates maximum oxygen uptake
  • GCB indicates total calorie consumption
  • NCB indicates net calorie consumption.
  • Adjustment module used to compare the current personal body data information fed back by the data acquisition equipment after training, and adjust the established professional training plan in real time.
  • the user only needs an intelligent sports bracelet during the running training, and achieves effective and scientific training goals through a professional training program, which greatly solves the problem that the user lacks guidance during the training process.
  • Embodiment 1 is a flow chart of a method for intelligently generating a professional running training plan according to Embodiment 1;
  • Embodiment 2 is a system structural diagram of an intelligent generation professional running training program provided in Embodiment 1;
  • Embodiment 3 is a flow chart of another method for intelligently generating a professional running training program according to Embodiment 2;
  • FIG. 4 is a system structural diagram of another intelligent generation professional running training program provided in the second embodiment.
  • the physical state information of the user is collected by the smart sports bracelet and the intelligent body fat scale, and the personal data information of the user is counted by the user, including the basic information in the user's personal account and the physical state information of the user.
  • the smart bracelet is a wearable smart device. Through this bracelet, users can record real-time data such as exercise, sleep, part and diet in daily life, and synchronize these data with mobile phones and tablets to pass data. Guide the role of healthy living.
  • the intelligent body fat scale is a weighing scale that can measure fat, moisture, etc. in addition to measuring body weight.
  • This embodiment provides a method for intelligently generating a professional running training plan, as shown in FIG. 1 , including the steps:
  • S11 receiving a preset training plan and a calculation formula, and saving to a data server;
  • S12 the personal body data parameter collected by the statistical data collection device and the personal account information of the user end, and sent to the data server;
  • the acquiring data server calculates and analyzes the professional training plan according to the preset training plan and the calculation formula, and sends the professional training plan to the data collection device.
  • the personal body data information is collected by the data collection device: the intelligent sports bracelet and the intelligent body fat scale, and sent to the user end, and the user end records the user's personal account number and basic information, and at the same time, the professional training plan is required.
  • the parameters are sent to the data server.
  • step S11 is to receive the preset training plan and calculation formula and save to the data server.
  • the preset training plan includes: basic warm-up, body activation, aerobic exercise, anaerobic exercise, core training, and recovery activities.
  • the preset calculation formula is divided into different calculation formulas according to gender, including: when the gender is female, the calculation The formula is:
  • GCB (-59.3954+0.45*AHR+0.38*VO2max+0.103*WEIGHT+0.274*AGE)/4.184*60*TIME;
  • NCB GCB-RMR
  • AHR represents the activity average heart rate
  • RHR represents the resting heart rate
  • MHR represents the maximum heart rate
  • AGE represents the age
  • BMR represents the basal metabolism
  • WEIGHT represents the body weight
  • HIGH means height
  • RMR means resting metabolism
  • TIME means activity time
  • VO2max means Maximum oxygen uptake
  • GCB indicates total calorie consumption
  • NCB indicates net calorie consumption.
  • GCB (-95.7735+0.634*AHR+0.404*VO2max+0.394*WEIGHT+0.271*AGE)/4.184*60*TIME;
  • NCB GCB-RMR
  • AHR represents the activity average heart rate
  • RHR represents the resting heart rate
  • MHR represents the maximum heart rate
  • AGE represents the age
  • BMR represents the basal metabolism
  • WEIGHT represents the body weight
  • HIGH represents the height
  • RMR represents the resting metabolism
  • TIME represents the activity time
  • VO2max Indicates maximum oxygen uptake
  • GCB indicates total calorie consumption
  • NCB indicates net calorie consumption.
  • the data server accepts the data parameters sent by the client and develops a professional training plan.
  • step S12 is a personal body data parameter collected by the statistical data collection device and personal account information of the user end, and sent to the data server.
  • the data acquisition equipment includes intelligent sports bracelets and intelligent body fat scales, daily measurement by the body fat balance, measurement of basal metabolism, and regular monitoring according to the plan; real-time monitoring of user movement and training activities through intelligent sports watches Time (sports time in training mode), activity average heart rate AHR, and resting heart rate measurement when getting up every morning; two types of equipment measure corresponding data in different time periods, timing, real-time, and provide Intelligent client; wherein the maximum heart rate refers to the maximum heart rate value in the training mode; the average heart rate refers to the average heart rate in the whole process of the training mode; the end of the daily training will send the relevant data to the user for a whole
  • the update is convenient for the data integration of the training of the next day.
  • the user's personal account of the user side includes the basic information of the user, such as height, age, gender, etc., for subsequent differentiation of different calculation formulas.
  • step S13 is to acquire the professional training plan calculated by the data server according to the preset training plan and the calculation formula, and send it to the data collection device.
  • the data server After receiving the parameters required for the professional training plan, the data server calculates the maximum heart rate, basal metabolism, resting metabolism, maximum oxygen uptake, total calorie consumption, and net calorie consumption data according to the preset calculation formula.
  • the preset training plan a professional training plan that fits the user is developed and sent to the client and the data collection device for intuitive display to the user for training according to the training plan.
  • the embodiment further provides a system for intelligently generating a professional running training plan, as shown in FIG. 2, including:
  • the receiving module 21 is configured to receive a preset training plan and a calculation formula, and save the data to the data server;
  • the statistics module 22 is configured to: collect the personal body data parameters collected by the data collection device and the personal account information of the user end, and send the information to the data server;
  • the obtaining module 23 is configured to obtain a professional training plan calculated by the data server according to the preset training plan and the calculation formula, and send the professional training plan to the data collection device.
  • the accepting module 21 is configured to receive a preset training plan and a calculation formula and save the data to the data server.
  • the preset training plan includes: basic warm-up, body activation, aerobic exercise, anaerobic exercise, core training, and recovery activities.
  • the preset calculation formula is divided into different calculation formulas according to gender.
  • the statistic module 22 is configured to collect the personal body data parameters collected by the data collection device and the personal account information of the user end, and send the data to the data server.
  • the data collection device includes an intelligent sports bracelet and an intelligent body fat scale, and collects the physical data information of the user in a timely manner, in different time periods, and transmits the collected data information to the user end, and the user creates a user end.
  • Personal account used to statistically integrate the user's personal information, such as height, age, and gender.
  • the collected data information is integrated with the personal information, and the data parameters required for the professional training plan are sent to the data server.
  • the obtaining module 23 is configured to obtain a professional training plan calculated and analyzed by the data server according to the preset training plan and the calculation formula, and send the professional training plan to the data collection device.
  • the professional training plan is analyzed and calculated by the data server, and the professional training plan is sent to the smart sports bracelet, and the user can intuitively understand the training plan.
  • the whole set of intelligent running training program is formed, and the data communication between the 5 ends is provided, and the user is specialized, systematic and scientific running training.
  • the plan greatly improved the user experience.
  • This embodiment provides another method for intelligently generating a professional running training plan, as shown in FIG. 3, including the steps:
  • S31 receiving a preset training plan and a calculation formula, and saving to a data server;
  • S33 the personal body data parameter collected by the statistical data collection device and the personal account information of the user end, and sent to the data server;
  • S34 The data obtained by the data server is calculated and analyzed according to a preset training plan and a calculation formula. Train the program and send it to the data collection device.
  • S35 Compare the current personal body data information fed back by the data acquisition device after training, and adjust the established professional training plan in real time.
  • This embodiment differs from the first embodiment in that steps S32 and S35 are further included.
  • Step S32 is to determine whether the parameters required in the calculation formula are collected, and if not, send a reminder command to continue collecting data information.
  • the user performs statistics on the data to determine whether all the data parameters required for the professional training plan are collected.
  • the data parameters include: gender, age, height, weight, activity time, activity average heart rate AHR, resting heart rate RHR.
  • the reminder instruction is sent to remind the user to measure the current weight. After the preset time has elapsed, the system has not received the weight data, and then continues to send the reminder instruction.
  • Step S35 is to compare the current personal body data information fed back by the data acquisition device after the training, and perform real-time adjustment on the established professional training plan.
  • the data collection device will feedback the user's current body data information to the user, and at the same time, adjust the established professional training plan in real time.
  • the embodiment further provides a system for intelligently generating a professional running training plan, as shown in FIG. 4, including:
  • the receiving module 41 is configured to receive a preset training plan and a calculation formula, and save the data to the data server;
  • the determining module 42 is configured to determine whether the required parameters in the calculation formula are collected, and if not, send a reminder instruction to continue collecting data information;
  • the statistics module 43 is configured to: collect the personal body data parameters collected by the data collection device and the personal account information of the user end, and send the information to the data server;
  • the obtaining module 44 is configured to: acquire a professional training plan calculated by the data server according to the preset training plan and the calculation formula, and send the professional training plan to the data collection device;
  • the adjustment module 45 is configured to compare the current personal body data information fed back by the data acquisition device after the training, and perform real-time adjustment on the established professional training plan.
  • the difference from the first embodiment is that the determination module 42 and the adjustment module 45 are further included.
  • the determining module 42 is configured to determine whether the parameters required in the calculation formula are collected, and if not, send a reminder command to continue collecting data information.
  • the intelligent sports bracelet monitors the user's movement, the activity time during the training, the average heart rate of the activity, and the resting heart rate at the time of getting up every day.
  • the intelligent body fat scale regularly acquires the user's weight information every morning.
  • the reminder instruction is sent to remind the user. For example, when the user does not perform weight measurement, a reminder command is sent to the smart sports bracelet to remind the user to measure the weight of the day.
  • the reminder instruction is continued.
  • the adjustment module 45 is configured to compare the current personal body data information fed back by the data acquisition device after the training, and perform real-time adjustment on the established professional training plan.
  • the data collection device collects the user's body data information in real time, and feeds back the user's current body data information to the user after the user completes the training, and adjusts the professional training plan in real time according to the change of the body data information.
  • the adjustment module 45 and the judgment module 42 By adding the adjustment module 45 and the judgment module 42, the integrity of the data collection can be ensured, an accurate professional training plan can be obtained, and the professional training plan can be adjusted in real time according to the change of the user's current body data information after the user is trained.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Engineering & Computer Science (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

L'invention concerne un procédé et un système de génération intelligente d'un plan d'entraînement professionnel à la course à pied, destinés à être utilisés dans la résolution du problème posé par l'absence d'un plan d'entraînement professionnel d'un utilisateur qui s'exerce à la course à pied. Le procédé comprend les étapes qui consistent : S1, à recevoir un plan d'entraînement prédéfini et une formule de calcul prédéfinie, et à les mémoriser dans un terminal de service de données ; S2, à collecter des statistiques concernant des paramètres de données corporelles personnels et des informations de compte personnelles d'un terminal utilisateur acquis par un dispositif d'acquisition de données, et à les envoyer au terminal de service de données ; et S3, à obtenir un plan d'entraînement professionnel obtenu par le terminal de service de données au moyen d'un calcul et d'une analyse conformément au plan d'entraînement prédéfini et à la formule de calcul prédéfinie, et à l'envoyer au dispositif d'acquisition de données. La présente invention peut fournir un plan d'entraînement professionnel à un utilisateur qui s'exerce à la course à pied, ce qui permet d'atteindre un objectif de pratique saine de la course à pied.
PCT/CN2017/116404 2017-09-22 2017-12-15 Procédé et système de génération intelligente d'un plan d'entraînement professionnel à la course à pied WO2019056606A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710864426.5 2017-09-22
CN201710864426.5A CN107680650A (zh) 2017-09-22 2017-09-22 一种智能生成专业跑步训练计划的方法及系统

Publications (1)

Publication Number Publication Date
WO2019056606A1 true WO2019056606A1 (fr) 2019-03-28

Family

ID=61137690

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/116404 WO2019056606A1 (fr) 2017-09-22 2017-12-15 Procédé et système de génération intelligente d'un plan d'entraînement professionnel à la course à pied

Country Status (2)

Country Link
CN (1) CN107680650A (fr)
WO (1) WO2019056606A1 (fr)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108404382A (zh) * 2018-02-24 2018-08-17 上海康斐信息技术有限公司 一种自适应训练计划生成的算法及系统
CN108538358A (zh) * 2018-03-05 2018-09-14 上海康斐信息技术有限公司 一种用于穿戴设备的区块链积分奖励方法、系统
CN108970089B (zh) * 2018-08-22 2020-06-26 南京和筑健康管理有限公司 基于心率检测的人体训练和智能健身系统
CN109243571A (zh) * 2018-10-15 2019-01-18 广州贝客网络科技有限公司 一种采用康复训练的智能戒毒管理方法及系统
CN109529303B (zh) * 2018-11-09 2021-03-12 深圳市量子智能科技有限公司 一种用户运动能力的确认方法和系统
CN109529304B (zh) * 2018-11-09 2020-08-28 深圳市量子智能科技有限公司 一种智能训练方法和系统
CN111840961A (zh) * 2019-04-28 2020-10-30 百应科技（北京）有限公司 一种在线指导跑步训练的方法及系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101520815A (zh) * 2008-07-05 2009-09-02 杭州义盛祥通信技术有限公司 个人运动管理系统及管理方法
CN103294921A (zh) * 2013-06-08 2013-09-11 德赛电子(惠州)有限公司 一种健康运动的智能化管理方法及系统
CN105117597A (zh) * 2015-08-20 2015-12-02 邵哲 一种制定运动计划的方法及装置
CN105808959A (zh) * 2016-03-16 2016-07-27 北京永数网络科技有限公司 一种运动检测系统、运动检测终端及云平台
CN106709235A (zh) * 2016-11-21 2017-05-24 风跑体育发展（深圳）有限公司 一种运动训练数据处理方法及装置

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105321135A (zh) * 2014-07-04 2016-02-10 北京大学第三医院 一种个性化运动处方设计方法和系统
US20160081620A1 (en) * 2014-09-19 2016-03-24 Samsung Electronics Co., Ltd. Method and apparatus for health care
CN106202953B (zh) * 2016-07-19 2019-07-02 北京心量科技有限公司 一种数据分析方法及系统

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101520815A (zh) * 2008-07-05 2009-09-02 杭州义盛祥通信技术有限公司 个人运动管理系统及管理方法
CN103294921A (zh) * 2013-06-08 2013-09-11 德赛电子(惠州)有限公司 一种健康运动的智能化管理方法及系统
CN105117597A (zh) * 2015-08-20 2015-12-02 邵哲 一种制定运动计划的方法及装置
CN105808959A (zh) * 2016-03-16 2016-07-27 北京永数网络科技有限公司 一种运动检测系统、运动检测终端及云平台
CN106709235A (zh) * 2016-11-21 2017-05-24 风跑体育发展（深圳）有限公司 一种运动训练数据处理方法及装置

Also Published As

Publication number Publication date
CN107680650A (zh) 2018-02-09

Similar Documents

Publication Publication Date Title
WO2019056606A1 (fr) Procédé et système de génération intelligente d'un plan d'entraînement professionnel à la course à pied
US20210082305A1 (en) Data-driven sleep coaching system
US10694994B2 (en) Techniques for jointly calibrating load and aerobic capacity
Byrom et al. Measuring free-living physical activity in COPD patients: deriving methodology standards for clinical trials through a review of research studies
JP6130914B2 (ja) 運動負荷時の生体情報算出システム、生体情報算出方法、及び、携帯情報端末
WO2019056605A1 (fr) Procédé et système d'ajustement dynamique de plan d'exercice sain
WO2019071805A1 (fr) Procédé, dispositif et système d'ajustement intelligent de programme d'exercice
US20150209615A1 (en) Zoning Method of Processing Threshold and Metabolic and Heart Rate Training Data and Sensors and Apparatus for Displaying the Same
CN101980228A (zh) 人体信息监测与处理系统及方法
CN203408041U (zh) 基于物联网技术的健康监护系统
CN106843395A (zh) 一种可穿戴健康管理设备及其使用方法
CN106344034A (zh) 一种睡眠质量评估系统及其方法
US20200060546A1 (en) A System and Method for Monitoring Human Performance
CN201374064Y (zh) 学生运动统计评价管理系统
CN109199336A (zh) 一种基于机器学习的睡眠质量量化方法、装置和设备
CN109243571A (zh) 一种采用康复训练的智能戒毒管理方法及系统
CN104188645B (zh) 穿戴设备以及基于该穿戴设备的基础心率的测量方法
CN215741734U (zh) 一种评定有氧锻炼的运动强度的可穿戴设备及系统
US20180256114A1 (en) Exercise assistance system, information device, measurement device, exercise assistance method, and program
CN107773967B (zh) 一种基于智能手表数据的人体运动特征分析方法
CN107808697A (zh) 一种用于健康评估的管理系统
US11850048B2 (en) Methods and systems for determining emotional connectivity using physiological measurements from connected devices
CN115813342A (zh) 一种基于睡眠监测的作息品质判断系统
CN201337447Y (zh) 运动腕表的省电装置
CN105982659A (zh) 一种用于测量心率的耳夹及其控制方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17926086

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17926086

Country of ref document: EP

Kind code of ref document: A1