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WO2011060782A1 - Procédé non invasif et dispositif pour déterminer des limites seuils de charge notamment lors d'activité sportive - Google Patents

Procédé non invasif et dispositif pour déterminer des limites seuils de charge notamment lors d'activité sportive Download PDF

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Publication number
WO2011060782A1
WO2011060782A1 PCT/DE2010/075139 DE2010075139W WO2011060782A1 WO 2011060782 A1 WO2011060782 A1 WO 2011060782A1 DE 2010075139 W DE2010075139 W DE 2010075139W WO 2011060782 A1 WO2011060782 A1 WO 2011060782A1
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WIPO (PCT)
Prior art keywords
determined
stage
range
power
threshold
Prior art date
Legal status (The legal status 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 status listed.)
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PCT/DE2010/075139
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German (de)
English (en)
Inventor
Manfred Krauss
Joachim Schlund
Jörg Schubert
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Telozo GmbH
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Telozo GmbH
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Publication date
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Priority to DE112010004494T priority Critical patent/DE112010004494A5/de
Publication of WO2011060782A1 publication Critical patent/WO2011060782A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
    • A61B5/221—Ergometry, e.g. by using bicycle type apparatus
    • A61B5/222—Ergometry, e.g. by using bicycle type apparatus combined with detection or measurement of physiological parameters, e.g. heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/02405—Determining heart rate variability
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7253—Details of waveform analysis characterised by using transforms
    • A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms

Definitions

  • the invention relates to a non-invasive method and a device for determining threshold exercise limits in particular sports exercise using an ECG or pulse sensor for recording measured values of a test subject.
  • An ECG or pulse sensor for recording measured values of a test subject.
  • HRV heart rate variability
  • HRV is a very sensitive and individual parameter that reflects the state of the autonomic nervous system. Both parts of the autonomic nervous system, sympathetic and
  • HRV Parasympathetic, affecting the current manifestation of HRV.
  • the two parts of the autonomic nervous system are always in equilibrium and active in changing parts. While the sympathetic, the activating part of the nervous system, comes to the fore in terms of stress and physical activity, which is represented by the limited to no longer present HRV, the parasympathetic nervous system predominates when the body is at rest. in this case, the HRV is highly pronounced.
  • a measuring method for an anaerobic threshold which comprises a plurality of steps which are carried out by a data input unit, a load class selection unit, a detection and arithmetic unit and a display unit.
  • the steps include entering age, weight, and gender of a user wearing a heartbeat transmitter and using an exercise device on which said units are mounted and selecting a stress class to practice on the exercise device. Then, these units detect, measure and record the heartbeat cycle and calculate the detected heartbeat cycle difference for each preset period of time. Then, the AT boundary point is found out and displayed on the display unit for the user to control the exercise load and time.
  • the document WO 2008/028912 A2 discloses a method and a device for deriving and evaluating cardiovascular information from cardiac current curves, in particular for telemedical applications. For this purpose, an average value and a standard deviation are first determined from a recorded ECG for data reduction from the high-resolution signal over the entire recording time, and subsequently the RR intervals are evaluated by means of a recognition algorithm and only the results obtained are transmitted and / or recorded for the purpose of data reduction.
  • Performance of persons in which the heart rate is continuously determined and in which a quantity is calculated from the determined heart rate and from the movement speed of the person, which expresses the efficiency of the person, is described in WO 00/40151.
  • the movement speed is detected by a person carried by the radar by the evaluation of a Doppler signal and further evaluated in a computing unit with the data of the heart rate.
  • the measurements can be performed at any location.
  • the athlete is completely independent of external help or auxiliary equipment. From the literature is still known, especially from the work of Hottenrott: [K.
  • Hottenrott u. a . Heart rate variability and sports. Current status. Herz 3, 2006, No. 6 ⁇ Urban &Vogel; 4th Int. Symposium Heart Rate Variability (abstracts). Martin Luther University Halle-Wittenberg, Department of Sports Science. November 1, 2008] that "in addition to clinical use in the risk stratification of sudden cardiac death and diabetic autonomic neuropathy, heart rate variability (HRV) is now also becoming increasingly important for sports science and sports medicine. In these fields, the HRV is currently being used as a performance diagnostic indicator, as
  • Control parameters of the stress and examined as control parameters of the stress intensity. Based on the large empirical basis, it can be taken for granted that aerobic endurance training with appropriate intensity and duration in healthy
  • Vagus inhibition is significantly dependent on the intensity of exercise.
  • the lower limit frequency f g of the heart period duration series to be analyzed is the frequency 0, 1 Hz (more precisely 0.04 Hz as the lower limit of the sympathetic region, the interval 0.04 ... 0, 1 ... 0, 15 Hz).
  • Heart period duration Ableitezeit of about 5 to 20 minutes are methodically critical such conditions practically impossible. Measurements under load are hardly comparable with such deduction times because of the long averaging times
  • the term "threshold” is understood to mean the highest possible load at which a steady state value of the observed physiological parameter is just setting in. Any load above this value leads accordingly to a steady increase in the parameter and IAS, as shown in Fig. 1, indicate intensity ranges at which relevant physiological changes in the energy supply occur.
  • IAS intensity ranges at which relevant physiological changes in the energy supply occur.
  • the lactate concentration in the blood is one to two mmol / l.
  • a training load that does not raise the lactate concentration above two mmol / l is called aerobic.
  • the LT lactate threshold
  • lactate threshold is a first characteristic on the lactate production curve. It describes the onset of lactate elevation in the blood, which is ideally determined from a basal lactate history at the low stress levels. From this point, the energy gained from the metabolism of carbohydrates slowly increases. If the load intensity increases further, the maximum compensable
  • Lactate production (maximum lactate steady state) exceeded. This area is referred to as IAS (individual anaerobic threshold).
  • IAS individual anaerobic threshold
  • the anaerobic threshold IAS is frequently equated with the very general concept of the endurance limit. This equation is misleading since no information is available in the literature on the duration for which threshold intensity is to be maintained.
  • lactate from the capillary blood is usually used at each exercise level
  • the heart rate is determined from the surface ECG and then a lactate-performance curve is created independent of the examiner.
  • the object of the invention is to provide a method for determining threshold load limits during exercise and an associated device which ensure the determination of these load limits with little effort, are less subject to errors and have a wide range of applications.
  • a subject performs a known power level test on the treadmill or ergometer. It is to be noted according to the invention that because of the necessary approximate constant load, the duration of the individual power stages, called stage time, greater than the period Ableitezeit, so according to the invention must be greater than 2 minutes.
  • the period derivation time is the time range on which the further evaluation is based.
  • corresponding frequency parameters eg via bandpass or in general FFT
  • the resulting signal rms value is formed for the corresponding power stage and stage time. If the FFT spectrum is used, then for the known
  • Frequency ranges 0.04 ... 0.15 Hz (LF range) and 0, 15 ... 0.4 Hz (HF range) determines the surface integrals.
  • the further power levels are completed with the selected step time with further increase of the average heart rate.
  • an anaerobic metabolism is present in particular in the LF range when the spectral power of 0.5 ⁇ 0.3 ms 2 is undershot, ie a threshold (IAS), which was previously only determinable via a lactate test.
  • IAS a threshold
  • the falling below the load threshold is signaled acoustically and / or optically.
  • the device for carrying out a non-invasive method for determining threshold exercise limits during exercise comprises an ECG or a pulse sensor for recording measured values of a test subject.
  • Processing stage is provided a signal preprocessing, in which the ECG or pulse sensor provided heart period durations (RR) are processable. Furthermore, a ring memory with a length of 2 minutes is provided, which serves to store the values determined by means of the signal preprocessing. These values are fed to an FFT (Fast Fourier Transformation) or a bandpass, by means of which a signal rms value for a power stage (step time) can be determined.
  • FFT Fast Fourier Transformation
  • FIG. 1 shows an example of the lactate and heart rate power curve of a
  • FIG. 1 shows an embodiment of the invention in a 33-year-old triathlete
  • FIG. 3 shows the signal flow diagram for determining the invention
  • Figure 1 shows an example of a lactate and a heart rate performance curve of a high-performance athlete, which were determined by a known method.
  • the aerobic-anaerobic transition is limited by the aerobic (LT) and individual anaerobic threshold (IAS).
  • the signal flow diagram for determining the load threshold of 0.5 ⁇ 0.3 ms 2 according to the invention is shown in FIG.
  • the periodicity provided by the ECG or pulse sensor is pre-processed by signal technology (A / D; QRS detector), subsequently written into a ring memory of length 2 min.
  • the 2min RR time series can be processed according to the invention either by means of FFT or bandpass filtering so that the rms value is determined.
  • the following is a threshold comparison
  • stage time the duration of the individual power stages, called stage time, must be greater than the period lead time, ie, greater than 2 minutes.
  • corresponding frequency parameters eg via bandpass or generally FFT
  • the resulting signal rms value is formed for the corresponding power stage and stage time.
  • HF range 0.5 ⁇ 0.3 ms 2 - a threshold (IAS). Falling below the threshold (IAS) can be signaled acoustically and / or optically.
  • the inventive method is characterized in particular by the fact that it is non-invasive and arbitrary repeatable.
  • the determination of the threshold exercise limits during exercise is also between invasive

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Cardiology (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Physiology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

L'invention concerne un procédé non invasif et un dispositif pour déterminer des limites seuils de charge notamment lors d'activité sportive en utilisant un ECG ou un capteur de pulsations pour enregistrer des valeurs de mesure d'une personne testée. Selon l'invention, les valeurs de mesure périodiques produites par l'ECG ou capteur de pulsations font l'objet d'un prétraitement des signaux sous la forme de la durée de périodes cardiaques (RR), une valeur effective de signal pour un niveau de puissance (temps du niveau) est déterminée au moyen de FFT (transformée de Fourier rapide) ou filtrage passe-bande, la durée de temps du niveau de puissance (temps de niveau) étant supérieure à un temps de déduction des périodes et des intégrales de surface étant déterminées pour les plages de fréquence 0,04...0, 15 Hz (plage basse fréquence) et 0, 15...0,4 Hz (plage haute fréquence), un seuil anaérobie individuel (IAS) étant déterminé dans la plage basse fréquence en cas de dépassement par le bas de la puissance d'intégrale de surface de 0,5 ± 0,3 ms2. Le dispositif présente un niveau pour le prétraitement des signaux dans lequel les durées de périodes cardiaques (RR) produites par l'ECG ou capteur de pulsations sont traitées, une mémoire cyclique avec une longueur de 2 minutes ainsi qu'une FFT (transformée de Fourier rapide) ou un passe-bande au moyen duquel une valeur effective de signal peut être déterminée pour un niveau de puissance (temps de niveau).
PCT/DE2010/075139 2009-11-20 2010-11-18 Procédé non invasif et dispositif pour déterminer des limites seuils de charge notamment lors d'activité sportive Ceased WO2011060782A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
DE112010004494T DE112010004494A5 (de) 2009-11-20 2010-11-18 Nichtinvasives Verfahren und Vorrichtung zur Ermittlung von Schwellen-Belastungsgrenzen bei insbesondere sportlicher Betätigung

Applications Claiming Priority (2)

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DE202009015626.5 2009-11-20
DE200920015626 DE202009015626U1 (de) 2009-11-20 2009-11-20 Vorrichtung zur nichtinvasiven Ermittlung von Schwellen-Belastungsgrenzen bei insbesondere sportlicher Betätigung

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DE (2) DE202009015626U1 (fr)
WO (1) WO2011060782A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102854512A (zh) * 2012-09-25 2013-01-02 中国电子科技集团公司第十一研究所 激光多普勒测速的信号处理方法及装置
CN103105556A (zh) * 2013-01-30 2013-05-15 西安交通大学 基于稳态与暂态特征联合匹配的智能电网负载检测与识别方法

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102015015588B4 (de) 2015-12-04 2019-08-29 Dräger Safety AG & Co. KGaA Vorrichtung zur nicht-invasiven Erfassung von gasförmigen Stoffwechselprodukten auf der Haut und Verfahren zu deren kontinuierlicher Analyse

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000040151A1 (fr) 1998-12-30 2000-07-13 Robert Sierzega Determination de la puissance physique d'une personne
DE10208149A1 (de) 2001-05-28 2002-12-12 Tonic Fitness Technology Inc Meßverfahren für anaerobe Schwelle
WO2008028912A2 (fr) 2006-09-07 2008-03-13 Telozo Gmbh Procédé et dispositif de déduction et d'évaluation d'informations cardiovasculaires à partir de courbes du courant cardiaque, en particulier pour des utilisations télémédicales

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102007025664B4 (de) * 2007-06-01 2016-11-10 Masimo Corp. Verfahren zur automatischen Registrierung der physischen Leistungsfähigkeit eines Probanden

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000040151A1 (fr) 1998-12-30 2000-07-13 Robert Sierzega Determination de la puissance physique d'une personne
DE10208149A1 (de) 2001-05-28 2002-12-12 Tonic Fitness Technology Inc Meßverfahren für anaerobe Schwelle
WO2008028912A2 (fr) 2006-09-07 2008-03-13 Telozo Gmbh Procédé et dispositif de déduction et d'évaluation d'informations cardiovasculaires à partir de courbes du courant cardiaque, en particulier pour des utilisations télémédicales

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
ANOSOV O ET AL: "High-frequency oscillations of the heart rate during ramp load reflect the human anaerobic threshold.", EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY NOV 2000 LNKD- PUBMED:11138580, vol. 83, no. 4 -5, November 2000 (2000-11-01), pages 388 - 394, XP002626426, ISSN: 1439-6319 *
COTTIN FRANCOIS ET AL: "Heart rate variability during exercise performed below and above ventilatory threshold.", MEDICINE AND SCIENCE IN SPORTS AND EXERCISE APR 2004 LNKD- PUBMED:15064586, vol. 36, no. 4, April 2004 (2004-04-01), pages 594 - 600, XP002626425, ISSN: 0195-9131 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102854512A (zh) * 2012-09-25 2013-01-02 中国电子科技集团公司第十一研究所 激光多普勒测速的信号处理方法及装置
CN103105556A (zh) * 2013-01-30 2013-05-15 西安交通大学 基于稳态与暂态特征联合匹配的智能电网负载检测与识别方法
CN103105556B (zh) * 2013-01-30 2015-01-07 西安交通大学 基于稳态与暂态特征联合匹配的智能电网负载检测与识别方法

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DE112010004494A5 (de) 2013-04-04

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