WO2024052092A1 - Procédé de détermination d'un signal de magnétocardiogramme provenant d'un être vivant - Google Patents

Procédé de détermination d'un signal de magnétocardiogramme provenant d'un être vivant Download PDF

Info

Publication number
WO2024052092A1
WO2024052092A1 PCT/EP2023/072852 EP2023072852W WO2024052092A1 WO 2024052092 A1 WO2024052092 A1 WO 2024052092A1 EP 2023072852 W EP2023072852 W EP 2023072852W WO 2024052092 A1 WO2024052092 A1 WO 2024052092A1
Authority
WO
WIPO (PCT)
Prior art keywords
signal
magnetic
field strength
living
sensor unit
Prior art date
Application number
PCT/EP2023/072852
Other languages
German (de)
English (en)
Inventor
Florian DOLDE
Frederik SCHAAL
Florian KRIST
Riccardo Cipolletti
Eckhard Wehrse
Original Assignee
Robert Bosch Gmbh
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 Robert Bosch Gmbh filed Critical Robert Bosch Gmbh
Publication of WO2024052092A1 publication Critical patent/WO2024052092A1/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
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/242—Detecting biomagnetic fields, e.g. magnetic fields produced by bioelectric currents
    • A61B5/243—Detecting biomagnetic fields, e.g. magnetic fields produced by bioelectric currents specially adapted for magnetocardiographic [MCG] signals
    • 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
    • A61B5/6892—Mats
    • 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
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems

Definitions

  • the invention relates to a method for determining a magnetocardiogram signal of a living being, a device for determining a magnetocardiogram signal of a living being, a computer program and a machine-readable storage medium.
  • a magnetocardiogram is the recording and display of the heart's magnetic field, which is created by the electrophysiological activity of the heart muscle cells. Recording is usually carried out using highly sensitive magnetic field sensors.
  • Quantum-based magnetic sensors are known, for example, from the published publications DE 10 2018 220 234 A1 and DE 10 2018 214 617 A1.
  • the object underlying the invention is to provide a concept for efficiently determining a magnetocardiogram signal of a living being.
  • a method for determining a magnetocardiogram signal of a living being comprising the following
  • a device for determining a magnetocardiogram signal of a living being comprising: a sensor unit for measuring magnetic fields, the sensor unit being set up to detect a magnetic reference field strength and to detect a magnetic measuring field strength in the presence of a living being in the vicinity of the sensor unit, and a determination device which is set up to determine a magnetocardiogram signal of the living being based on the magnetic reference field strength and the magnetic measuring field strength.
  • a computer program which comprises instructions which, when the computer program is executed by a computer, for example by the device according to the second aspect, cause the computer to carry out a method according to the first aspect.
  • a machine-readable storage medium is provided on which the computer program according to the third aspect is stored.
  • the invention is based on and includes the knowledge that the above object is achieved in that a magnetic field strength is detected by the sensor unit, it being determined that this magnetic field strength is a reference field strength, i.e. a reference .
  • the magnetic measuring field strength is subsequently recorded by the sensor unit in the presence of a living being in the vicinity of the sensor unit.
  • the Magnetocardiogram signal of the living being is determined based on this recorded magnetic measuring field strength as well as on the previously determined or set reference.
  • the magnetic measuring field strength recorded by the sensor unit in the presence of a living being in the vicinity of the sensor unit comes not only from the magnetic field of the heart, but also from other magnetic fields, for example the earth's magnetic field or for example from electrical devices, for example household appliances .
  • Such magnetic fields form interference magnetic fields for the measurement of a cardiac magnetic field.
  • a long-term magnetocardiogram can thus advantageously be created.
  • long-term can mean several hours, for example one night.
  • the living being is, for example, a human or is, for example, an animal.
  • MKG magnetictocardiogram
  • a background signal is determined based on the magnetic reference field strength, which represents a magnetic background of the environment of the sensor unit, wherein the magnetocardiogram signal is determined based on the background signal.
  • the magnetic background can, for example, result from or be based on the earth's magnetic field.
  • an interference signal is determined based on the magnetic reference field strength, which represents a magnetic interference in the environment of the sensor unit, wherein the magnetocardiogram signal is determined based on the interference signal.
  • a magnetic disturbance is determined in the environment of the sensor unit, which is taken into account when determining the magnetocardiogram signal.
  • a magnetic interference can result, for example, from the operation of an electrical device in the vicinity of the sensor unit.
  • an electrical device is, for example, an electrical household appliance or is, for example, a drive motor for an electric roller shutter.
  • the sensor unit is located in a vehicle, for example a motor vehicle or an aircraft, such magnetic interference can result from operation of the vehicle.
  • such a magnetic interference can result from an electrically driven rail vehicle that travels in the vicinity of the sensor unit.
  • the power consumption of such a rail vehicle can create magnetic fields that can disrupt the MCG measurement.
  • the signal to be determined based on the magnetic reference field strength, i.e Background signal and / or the interference signal is determined using a pattern recognition method, in particular a machine learning method.
  • the signal to be determined based on the magnetic reference field strength i.e. the background signal and/or the interference signal
  • the signal to be determined based on the magnetic reference field strength is filtered out of a measurement signal representing the detected magnetic measurement field strength in order to obtain a filtered measurement signal, the magnetocardiogram signal being based is determined on the filtered measurement signal.
  • the magnetocardiogram signal can be determined efficiently. According to this embodiment, it is therefore provided that the magnetic background and/or the magnetic interference are filtered out of the detected magnetic measuring field strength.
  • At least one time interval is determined, in particular estimated, within which the magnetic disturbance occurs and/or will occur, with only a magnetic measuring field strength detected outside the at least one time interval being used to determine the magnetocardiogram signal .
  • the magnetocardiogram signal can be determined efficiently. According to this embodiment it is therefore provided that detected magnetic disturbances are not taken into account when determining the magnetocardiogram signal. On the one hand, measurements can only be carried out outside the time interval, i.e. the magnetocardiogram measurement can be carried out. On the other hand, an MKG measurement that was carried out within the time interval can additionally or alternatively not be taken into account when determining the magnetocardiogram signal. In one embodiment of the method it is provided that at least one vital parameter of the living being is determined based on the magnetocardiogram signal.
  • the at least one vital parameter is an element selected from the following group of vital parameters: heart rate, heart rate variability, duration and/or amplitude of an ECG-equivalent signal change, for example P wave, QRS complex, T- Wave and corresponding combinations.
  • the measuring area comprises a section of an object which is an element selected from the following group of objects: mattress, pillow, bed, chair, sofa, armchair, headrest, seat, vehicle seat, aircraft seat, aircraft seat , motor vehicle seat.
  • the measuring area comprises a section of an object, which is an element selected from the following group of objects: mattress, pillow, bed, chair, sofa, armchair, headrest, seat, vehicle seat, aircraft seat, aircraft seat , motor vehicle seat.
  • the device is set up to carry out all steps of the method according to the first aspect.
  • the method according to the first aspect is carried out or carried out using the device according to the second aspect.
  • the method is a computer-implemented method.
  • the detection of the magnetic reference field strength by the sensor unit is carried out, for example, in the absence and/or presence of a living being in the vicinity of the sensor unit.
  • the magnetic measuring field strength recorded when a living being is present in the vicinity of the sensor unit can, for example, be used as a magnetic reference field strength for a later M KG measurement.
  • magnetic disturbances which do not occur regularly or which did not occur, for example, during the detection of the magnetic reference field strength can still be detected and taken into account for an M KG measurement.
  • An M KG measurement involves recording the magnetic measuring field strength by the sensor unit in the presence of a living being in the area Sensor unit and determining the magnetocardiogram signal.
  • the output or result of the MKG measurement is the magnetocardiogram signal.
  • multiple magnetocardiogram signals can be determined.
  • Statements made in connection with one magnetocardiogram signal apply analogously to several magnetocardiogram signals and vice versa.
  • a distribution of interference signals over time and/or a spectral distribution of the interference signals are determined, with the magnetocardiogram signal being determined based on the respective distribution.
  • 1 is a flowchart of a method for determining a magnetocardiogram signal of a living being
  • Fig. 3 shows a machine-readable storage medium
  • Fig. 4 measured several interference signals over several nights in a row.
  • FIG. 1 shows a flowchart of a method for determining a magnetocardiogram signal of a living being, comprising the following steps: detecting 101 a magnetic reference field strength by a sensor unit for measuring magnetic fields,
  • Detecting 103 a magnetic measuring field strength by the sensor unit in the presence of a living being in the vicinity of the sensor unit Determine 105 a magnetocardiogram signal of the living being based on the magnetic reference field strength and the magnetic measurement field strength.
  • Fig. 2 shows a device 201 for determining a magnetocardiogram signal of a living being, comprising: a sensor unit 203 for measuring magnetic fields, the sensor unit 203 being set up to detect a magnetic reference field strength and a magnetic measuring field strength in the presence of a living being in the vicinity of the sensor unit 203 detect, and a determination device 205, which is set up to determine a magnetocardiogram signal of the living being based on the magnetic reference field strength and the magnetic measuring field strength.
  • the computer program 303 includes instructions which, when the computer program 303 is executed by a computer, cause the computer to carry out a method for determining a magnetocardiogram signal of a living being.
  • the four time axes identify four nights immediately following one another, which are also referred to below as night 1, night 2, night 3 and night 4 can be.
  • a device for determining a magnetocardiogram signal is provided.
  • the sensor unit is integrated into a mattress of a bed.
  • the detection device can, for example, be provided outside the mattress or can also be located inside the mattress.
  • the sensor unit carries out a measurement of magnetic fields, i.e. detects a magnetic field strength, during night 1, without there being a living being in the vicinity of the sensor unit, i.e. in the absence of a living being in the surroundings of the sensor unit.
  • magnetic fields can be recorded or detected during night 1 using the device.
  • Such magnetic fields represent magnetic interference fields for a later M KG measurement on nights 2 to 4.
  • three magnetic interference fields were measured in night 1: a first interference signal 409, a second interference signal 411 and a third interference signal 413.
  • the second interference signal 411 occurred twice during night 1, which the first time axis 401 shows.
  • an oval with the reference number 415 was drawn around the interference signals 409, 411, 413 to indicate that these interference fields or interference signals have not yet been filtered out of an MKG measurement signal.
  • these interference signals can be filtered out from the measuring field strengths then measured. This is symbolically marked by an X with the reference number 417.
  • the sensor unit detects or measures magnetic field strengths, the magnetic measuring field strengths. Measurement signals corresponding to this measurement can then serve as the basis for a magnetocardiogram signal of the living being.
  • the interference signals determined in night 1, i.e. the reference night are filtered out from the measurement signals that were recorded in the next night 2 to night 4.
  • a fourth magnetic interference field 419 was detected, which can also be filtered out in the following nights, night 3 and night 4.
  • the detection of such interference fields can be detected, for example, using a machine learning algorithm or using artificial intelligence.
  • a pattern recognition method can be used to create patterns in the magnetic reference field strengths recognize, which can then be filtered out from the then existing measurement signal in the following nights, night 2 to night 4, for example.
  • the concept described here is based, for example, on a reference measurement and pattern recognition on the reference measurement, so that recognized patterns can be taken into account when determining magnetocardiogram signals of a living being.
  • a background signal and/or an interference signal is or are determined based on the magnetic measuring field strength, which can then be used for further MKG measurements in order to filter out corresponding magnetic background and/or corresponding magnetic interference from the measurement signal.
  • the determination of a magnetic background and/or a determination of a magnetic interference can also be carried out for the magnetic measuring field strength in a similar way to the magnetic reference field strength.
  • the corresponding statements apply analogously.
  • the magnetic measuring field strength can therefore also be evaluated using a pattern recognition method, in particular a machine learning method, in order to determine the background signal and/or the interference signal. These determined signals can therefore be used for subsequent MKG measurements in order to determine the corresponding magnetocardiogram signal of the living being based on these signals.
  • efficient noise suppression can be achieved in an advantageous manner.
  • Feedback can therefore advantageously be provided as to whether the device functions without restrictions or only to a limited extent and, for example, how long this state is likely to last.
  • a distribution of interference signals over time and/or a spectral distribution of the interference signals are taken into account.
  • a reference measurement is initially carried out, for example a measurement of magnetic reference field strengths, for example over a night without any living being being in the vicinity of the sensor unit.
  • the environment of the sensor unit can also generally be referred to as a measuring area.
  • a magnetocardiogram measurement can then be carried out on a living being that is in the measurement area in the following nights. This means that a magnetic measuring field strength is detected by the sensor unit when the living being is in the vicinity of the sensor unit.
  • the fact that the reference measurement can be carried out over the course of one night is to be understood as an example. Shorter periods of time, for example a few minutes, can also be provided. For example, a few minutes are enough during a self-calibration of the sensor unit and/or the device. This means, for example, that an embodiment of the method is carried out during a self-calibration of the sensor unit and/or the device. This means in particular that method steps are carried out, for example, during a self-calibration of the sensor unit and/or the device. A few minutes are sufficient, for example, if the method is or is to be used in a vehicle, for example a motor vehicle, or in a hospital.
  • the magnetic reference field strength is subtracted from the measured magnetic measuring field strength. This is particularly synchronous with the time of day, generally synchronous with the time.
  • the reference signal is subtracted from the measurement signal, with the magnetocardiogram signal being determined, for example, based on the correspondingly subtracted measurement signal.
  • corresponding filters are provided which filter out these interference signals and/or background signals from the measurement signals.
  • interference signals that always occur at the same time can be efficiently filtered out.
  • a magnetic interference caused by a drive motor of an electric roller shutter can be efficiently filtered out.
  • the roller shutter is raised or lowered at a certain time, so that an interference signal is to be expected at these times, so that this interference signal can be filtered out in the measurement signal at these times.
  • patterns in the magnetic reference field strengths can be recognized. Such patterns can also be learned when the interference signal occurs. This means that if it is known that a disturbance always occurs at the same time, then the time course of the magnetic reference field strength at these times is defined as a pattern to be filtered out.
  • An example is when an electrically driven rail vehicle travels in the vicinity of the sensor unit at approximately the same or similar times and thus disrupts the M KG measurement due to current consumption for the drive motor.
  • the filters for data evaluation can be adapted efficiently for certain times of the day or night.
  • Classic pattern recognition methods can be used and/or machine learning can be used.
  • characteristic noise patterns can be identified in the reference data, i.e. in the recorded magnetic reference field strength, for example a rail vehicle passing by, for example a tram, or an elevator moving.
  • the recognized noise patterns can then be subtracted from the measured signal, i.e. the measurement signal, for noise suppression, or the corresponding filter criteria can be trained.
  • time periods with reduced functionality with regard to an MCG measurement can, for example, be identified. This makes it possible not to take these time periods into account for further analyzes or to provide feedback about the non-functionality of the device with regard to the MKG measurement. What is particularly advantageous is that by identifying patterns, a prediction can be made about the expected duration and degree of the disruption. Data weighted according to the patterns described in this way can then be managed in a database, for example online managed, are and can be used for data evaluation and associated functionality, for example an alert that a functionality is restricted.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Artificial Intelligence (AREA)
  • Cardiology (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Measuring Magnetic Variables (AREA)

Abstract

L'invention concerne un procédé de détermination d'un signal de magnétocardiogramme provenant d'un être vivant, comprenant les étapes suivantes : détection d'une intensité de champ de référence magnétique par une unité de capteur pour mesurer des champs magnétiques, détection d'une intensité de champ de mesure magnétique par l'unité de capteur lorsqu'un être vivant est présent dans l'environnement de l'unité de capteur, détermination d'un signal de magnétocardiogramme provenant de l'être vivant sur la base de l'intensité de champ de référence magnétique et de l'intensité de champ de mesure magnétique. L'invention concerne également un dispositif pour déterminer un signal de magnétocardiogramme provenant d'un être vivant, un programme informatique et un support de stockage lisible par machine.
PCT/EP2023/072852 2022-09-09 2023-08-18 Procédé de détermination d'un signal de magnétocardiogramme provenant d'un être vivant WO2024052092A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102022209444.1 2022-09-09
DE102022209444.1A DE102022209444A1 (de) 2022-09-09 2022-09-09 Verfahren zum Ermitteln eines Magnetokardiogrammsignals eines Lebewesens

Publications (1)

Publication Number Publication Date
WO2024052092A1 true WO2024052092A1 (fr) 2024-03-14

Family

ID=87845614

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2023/072852 WO2024052092A1 (fr) 2022-09-09 2023-08-18 Procédé de détermination d'un signal de magnétocardiogramme provenant d'un être vivant

Country Status (2)

Country Link
DE (1) DE102022209444A1 (fr)
WO (1) WO2024052092A1 (fr)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150150475A1 (en) * 2012-07-02 2015-06-04 University Of Leeds Magnetometer for medical use
US20160338608A1 (en) * 2015-05-22 2016-11-24 Seiko Epson Corporation Magnetic measurement system
CN106343999B (zh) * 2016-10-10 2019-04-19 中国科学院上海微系统与信息技术研究所 心磁图仪、基于其的补偿优化方法、系统及服务器
US20190298202A1 (en) * 2018-03-28 2019-10-03 Asahi Kasei Microdevices Corporation Magnetocardiographic measurement apparatus, calibration method, and recording medium having recorded thereon calibration program
DE102018214617A1 (de) 2018-08-29 2020-03-05 Robert Bosch Gmbh Sensoreinrichtung
DE102018220234A1 (de) 2018-11-26 2020-05-28 Robert Bosch Gmbh Verfahren und Sensorvorrichtung zur Magnetfeldmessung

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150150475A1 (en) * 2012-07-02 2015-06-04 University Of Leeds Magnetometer for medical use
US20160338608A1 (en) * 2015-05-22 2016-11-24 Seiko Epson Corporation Magnetic measurement system
CN106343999B (zh) * 2016-10-10 2019-04-19 中国科学院上海微系统与信息技术研究所 心磁图仪、基于其的补偿优化方法、系统及服务器
US20190298202A1 (en) * 2018-03-28 2019-10-03 Asahi Kasei Microdevices Corporation Magnetocardiographic measurement apparatus, calibration method, and recording medium having recorded thereon calibration program
DE102018214617A1 (de) 2018-08-29 2020-03-05 Robert Bosch Gmbh Sensoreinrichtung
DE102018220234A1 (de) 2018-11-26 2020-05-28 Robert Bosch Gmbh Verfahren und Sensorvorrichtung zur Magnetfeldmessung

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
TRESP V ET AL: "An efficient model for systems with complex responses (neural network architecture for nonlinear filtering)", NEURAL NETWORKS FOR SIGNAL PROCESSING Ý1992 II., PROCEEDINGS OF THE 1 992 IEEE-SP WORKSHOP HELSINGOER, DENMARK 31 AUG.-2 SEPT. 1992, NEW YORK, NY, USA,IEEE, US, 31 August 1992 (1992-08-31), pages 493 - 502, XP010059607, ISBN: 978-0-7803-0557-1, DOI: 10.1109/NNSP.1992.253663 *

Also Published As

Publication number Publication date
DE102022209444A1 (de) 2024-03-14

Similar Documents

Publication Publication Date Title
EP3019080B1 (fr) Procédé d'évaluation automatique d'un eeg de diagnostic d'absences, programme informatique et appareil d'évaluation correspondant
DE60200168T2 (de) Aktive implantierbare medizinische Vorrichtung mit Mitteln zur Diagnostik des respiratorischen Profiles
EP0858287B1 (fr) Dispositif pour l'analyse quantitative de troubles du sommeil
DE19827697B4 (de) Verfahren und System zum Bestimmen der Qualität von Signalen, die die Herzfunktion anzeigen
DE69637337T2 (de) Verbesserungen in Bezug auf physiologische Überwachung
DE69330644T2 (de) Verfahren und vorrichtung zur trennung der verschiedenen signal-komponenten von evozierter und spontaner hirn-aktivität sowie der herz-aktivität
EP0783902B1 (fr) Dispositif de contrôle extracorporel pour un dispositif médical implantable
DE69710502T2 (de) Gerät zur gewebestimulation
EP0828225A1 (fr) Procédé et dispositif pour évaluer les données EEG
CH632848A5 (de) Vorrichtung zur detektion von signalen, insbesondere von fetalen herzsignalen.
WO1998022019A1 (fr) Dispositif et procede pour la determination de profils de sommeil
DE2012024B2 (de) Verfahren und vorrichtung zum erfassen anomaler wellenzugkomplexe
DE10339084B4 (de) Elektroimpedanztomographie-Gerät
WO2017050321A1 (fr) Procédé et dispositif pour quantifier une arythmie sinusale respiratoire et utilisation d'un tel procédé ou d'un tel dispositif
DE102013207458A1 (de) Verfahren zur Korrektur eines EKG-Signals bei der Magnetresonanzbildaufnahme und EKG-Triggereinrichtung
EP1483017A1 (fr) Dispositif permettant de localiser le point cible d'electrodes pour la stimulation cerebrale, en particulier pour la stimulation cerebrale profonde
DE202022100822U1 (de) Ein hybrides System zur automatischen Entfernung von Augenblinzel-Artefakten aus Elektroenzephalogrammsignalen
Liberati et al. The implementation of an autoregressive model with exogenous input in a single sweep visual evoked potential analysis
WO2024052092A1 (fr) Procédé de détermination d'un signal de magnétocardiogramme provenant d'un être vivant
DE102019207672B4 (de) Reduktion von magnetfeldinduzierten Störungen bei der Messung von bioelektrischen Signalen
DE102019203052B4 (de) Verfahren und Vorrichtung zur Detektion von Zwerchfellkontraktionen
DE19624133A1 (de) Verfahren und Meßanordnung zum Messen von reizevozierten Potentialen des Gehirns
DE102011114045B4 (de) Verfahren, Anordnung und Computerprogramm zur Erkennung von Ableitungen ereigniskorrelierter Potenziale einer neuronalen Aktivität
DE4416779A1 (de) Verfahren zur Vermeidung des zeitlichen Zusammenfallens von stimulierten und spontanen Herzreaktionen
EP2559377B1 (fr) Procédé et système médical implantable destiné à la surveillance de paramètres respiratoires ainsi qu'un programme informatique correspondant et un support de stockage lisible sur ordinateur correspondant

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: 23761465

Country of ref document: EP

Kind code of ref document: A1