System for measuring a parameter representative of the physiological and cerebral state in animals

Abstract

The system for measuring a parameter representative of the physiological and cerebral state in the animal includes an embedded system (2). In a complete configuration, the embedded system includes several sensors (8), and in a partial configuration, only one of these sensors. One of the sensors is a neurophysiological electrical potential sensor. The measurement system also includes a remote system (3) implementing a computerized characterization module (17) that determines a value for the parameter representative of the physiological and cerebral state from the neurophysiological electrical potential measurement data, the second set of measurement data in the complete configuration, and a predefined learning rule that defines a relationship between the parameter representative of the physiological and cerebral state, the neurophysiological electrical potential measurement data, and the second set of measurement data. Figure for the abstract: Figure 1

Description

Title of the invention: System for measuring a parameter representative of the physiological and cerebral state in animals. FIELD OF THE INVENTION

[0001] The present invention relates to measurement systems for a parameter representative of the physiological and cerebral state in animals.

[0002] The animal in question may or may not be a human being. technological BACKGROUND

[0003] Whether or not an animal is capable of expressing itself, it is difficult to objectively assess its brain state. Various measurement technologies can be used to determine parameters of brain activity. The electroencephalogram is a typical example of such technology. It has also been noted that the measurement of physiological phenomena can be used to interpret brain activity.

[0004] Document WO 2010 / 134,068 describes a measurement system comprising an electrocardiogram, a two-channel electroencephalogram of the forehead, a photoplethysmogram ("PPG") of the right index finger, an electromyogram of the right trapezius muscle, a thermometer of the back of the right hand, a respiration sensor, a galvanic skin response sensor of the right fingers, and a blood pressure sensor. The signals are processed to determine a representative index of the pain experienced.

[0005] Such a system is encouraging. However, due to the wide diversity of measurement technologies described, it is reserved for implementation in a hospital setting, on a static patient.

[0006] This constraint limits the application of this system to the characterization of pain likely to be felt by a static patient. It is therefore reserved for very specific cases requiring hospitalization.

[0007] The invention thus aims to democratize such systems. Summary of the invention

[0008] Thus, the invention relates to a system for measuring a parameter representative of the physiological and cerebral state in the animal, said measurement system comprising: - an embedded system, the embedded system comprising at least one housing adapted to be worn by the animal and, In a complete configuration, at least one first and one second sensor; in a partial configuration, only one of said at least one first and one second sensor. at least one of which is remote from the housing, and at least one cable connecting each remote sensor to the housing, at least one of said first and second sensors being a neurophysiological electrical potential sensor repeatedly producing neurophysiological electrical potential measurement data, and at least one of said first and second sensors being a sensor other than the first sensor, and repeatedly producing second measurement data of the animal, and the housing comprising at least one electronic system including at least one processor managing said at least one first and second sensors and a first wireless communication module adapted to communicate wirelessly with a remote system, and at least to repeatedly transmit to the remote system the neurophysiological electrical potential measurement data and the second measurement data, - said remote system, said remote system comprising at least one second wireless communication module adapted to communicate wirelessly with the first wireless communication module of the embedded system, and a processor comprising a first computerized characterization module adapted to determine an index from neurophysiological electrical potential measurement data or second measurement data produced in the partial configuration, and a second computerized characterization module adapted to determine a value of the parameter representative of the physiological and cerebral state from neurophysiological electrical potential measurement data, second measurement data in the complete configuration, and a predefined learning rule defining a relationship between the parameter representative of the physiological and cerebral state,neurophysiological electrical potential measurement data and secondary measurement data.

[0009] Thanks to these provisions, the system can be implemented on an outpatient basis, which is suitable for a large number of current medical procedures. The invention thus allows for remote monitoring of the animal, including outside the healthcare facility, and in a wide variety of activities within that facility, in which its neurophysiological state is likely to vary much more than in a hospitalized patient.

[0010] Depending on different aspects, it is possible to foresee one and / or the other of the characteristics below taken alone or in combination.

[0011] According to one embodiment, the first sensor is a sensor chosen from the list {electroencephalogram, electromyogram, electrocardiogram and electrooculogram}.

[0012] According to one embodiment, the second sensor is a sensor chosen from the list {heart rate sensor, respiratory rate sensor, body temperature and / or internal organ temperature sensor, skin hydration sensor, sensor blood oximetry, capnogram, blood pressure, respiratory and / or intracranial pressure sensor; position or motion sensor}, or a physiological sensor chosen from the list {heart rate sensor, respiratory rate sensor, body and / or internal organ temperature sensor, skin hydration sensor, blood oximetry sensor, capnogram, blood pressure, respiratory and / or intracranial pressure sensor}, or a position or motion sensor.

[0013] According to one embodiment, the parameter representing the physiological and cerebral state in the animal is representative of the sleep state, the depth of anesthesia, analgesia, epilepsy or pain or a predictive index of awakening.

[0014] According to one embodiment, the neurophysiological electrical potential sensor is an electroencephalogram sensor adapted to measure brain activity in several regions of the animal's brain.

[0015] According to one embodiment, the embedded system includes a bracelet, a cap, a belt, a helmet, a headrest, a collar, a harness, a headband or a support carrying the housing.

[0016] According to one embodiment, the embedded system further includes an environmental conditions sensor repeatedly producing environmental conditions data, and the processor is adapted to determine a value of the parameter representative of the physiological and cerebral state from further environmental conditions data, said predefined learning rule defining a relationship between the parameter representative of the physiological and cerebral state, neurophysiological electrical potential measurement data, second measurement data and environmental conditions data.

[0017] According to one embodiment, the processor is adapted to determine a value of the parameter representative of the physiological and cerebral state from further data on the age, sex, medication and / or weight of the animal, said predefined rule by learning defining said relationship in further relation to data on age, sex, medication, weight, medical history and / or physical condition.

[0018] According to one embodiment, the first computerized characterization module is adapted to determine said index from measurement data produced in the complete configuration, and / or The second computerized characterization module is adapted to determine the value of the parameter representing the physiological and cerebral state from further measurement data in the partial configuration, and a predefined learning rule defining a relationship between the parameter representing the physiological and cerebral state, neurophysiological electrical potential measurement data and the second measurement data in the complete configuration and measurement data in the partial configuration.

[0019] According to one embodiment, at least one of said computerized characterization modules is adapted to be implemented repeatedly, and the measurement system further includes a computerized monitoring module adapted to determine an evolution parameter from repeated values ​​of an index and / or parameter representative of the physiological and cerebral state. Brief description of the drawings

[0020] Embodiments of the invention will be described below with reference to the drawings, briefly described below:

[0021] [Fig-1] is a diagram representing a system according to one embodiment of the invention.

[0022] [Fig.2] is a diagram representing one embodiment of an embedded system of the system of [Fig.1].

[0023] [Fig.3] is a diagram representing one embodiment of a system housing embedded in [Fig.2].

[0024] [Fig.4] is a diagram representing one embodiment of an embedded system in a complete configuration.

[0025] [Fig. 5] is a diagram representing one embodiment of an embedded system in a partial configuration.

[0026] [Fig.6] is a diagram representing one embodiment of a remote system.

[0027] In the drawings, identical references designate identical or similar objects. DETAILED DESCRIPTION

[0028] Figure 1 schematically represents a measurement system 1 according to a first embodiment of the invention. The measurement system 1 comprises an embedded system 2, which will be described in more detail below, and a remote system 3. The embedded system 2 is called "embedded" in that it is designed and intended to be worn by a user. "Weared" is used as a French translation of the English term "wearable," which could alternatively be translated as "wearable," although no French translation seems to be able to fully capture the technical meaning conveyed by the term "wearable." The remote system 3 is called "remote" in that it is located at a distance from the embedded system 2. A communication system 4 is used to enable the embedded system 2 and the remote system 3 to communicate with each other. The communication system 4 includes, for example, a wireless communication system.This wireless communication system may include a first wireless communication module 25 of the embedded system 2 and a second wireless communication module 26 of the remote system 3 adapted to communicate with each other wirelessly, where appropriate via inter devices. medians. One can use a wireless communication technology using radio waves, for example with a short range (less than 150 meters). The remote system 3 includes, for example, a communicating computer, a tablet, a smartphone, or a so-called "smart" phone 5 including the second communication module.

[0029] Figure 2 more specifically illustrates an example of an embodiment of the embedded system 2. The embedded system 2 comprises a housing 6. The housing 6 is permanently or removably attached to a headband 7. The headband 7 is adapted for the permanent or temporary attachment of the embedded system 2 to the user. The headband 7 comprises, for example, a flexible band, such as a textile band, that can encircle a part of the user's body and be attached to it, for example, by tightening. The headband 7 can thus form all or part of a bracelet, a hat, a necklace, a belt, a helmet, a headrest, a harness, a headband, a support, or something else.

[0030] The embedded system 2 comprises at least one first sensor 8a. The first sensor 8a is adapted to repeatedly determine a value for a physiological parameter of the user. The first sensor 8a is located remotely from the housing 6. The first sensor 8a comprises a measuring head 9a in contact with or near the area of ​​the user for which the value is to be determined, and electronics 10a used to control the measuring head 9a and / or process the measurements obtained by the measuring head 9a. The electronics 10a are shown in [Fig. 3] as arranged inside the housing 6. The housing 6 may, for example, comprise an outer enclosure 11 within which is arranged a printed circuit board 12 carrying various electronic components, including the electronics 10a of the first sensor 8. Alternatively, the measuring head 9a may also include a portion of the electronics 10a of the first sensor 8a.

[0031] The measuring head 9a is, for example, connected to the housing 6 by means of a wired cable 13a. A wired connection allows, in particular, the measuring head 9a to be powered, if necessary, and the measuring head to be secured to the housing 6. Thus, according to the embodiments, a control signal for the measuring head is transmitted from the housing 6 to the measuring head 9a, a power supply is transmitted from the housing 6 to the measuring head 9a and / or a measured signal is transmitted from the measuring head 9a to the housing 6 via the cable 13a. The cable 13a is assembled to the housing 6 by a connection system comprising at least one connector 14a integral with the housing 6, for example, fixed to or assembled to a printed circuit board 12. The connection system is, for example, a removable connection system by which the measuring head 9a can be alternately assembled to or disassembled from the housing 6. Alternatively, the measuring head 9a can be connected to the The measuring head 9a can be connected wirelessly to the remote system 3. In this variant, the measuring head 9a may include a battery for power. The connection to the remote system 6 can be made, for example, via radio waves, allowing the exchange of information from the measuring head 9a to the remote system 6 and / or from the remote system 6 to the measuring head 9a. Alternatively, the measuring head 9a can be connected wirelessly to the remote system 3. The connection to the remote system 3 can be made, for example, via radio waves, allowing the exchange of information from the measuring head 9a to the remote system 3 and / or from the remote system 3 to the measuring head 9a.

[0032] The embedded system 2 also includes a second sensor 8b. The description just given for the first sensor also applies to the second sensor. The suffix "a" can be used to denote the characteristics specific to the first sensor, and the suffix "b" to denote the characteristics specific to the second sensor.

[0033] The second sensor 8b is adapted to measure a different parameter than the first sensor 8a. Most often, this involves a different measurement technology. Thus, a given sensor 8 may comprise several measuring heads implementing the same measurement technology, and whose measurement signals are used together to determine the value of a user parameter; in this case, it is a single sensor within the meaning of this document.

[0034] Depending on the embodiment, the embedded system 2 may include sensors other than the first and second sensors. Figures 2 and 3 show an example in which the housing 6 includes first, second, third, and fourth connectors 14a, 14b, 14c, and 14d for connecting to four respective sensors. The connectors are, for example, arranged as far apart as possible. This configuration improves the ergonomics of the embedded system 2 by facilitating the connection and disconnection of the sensors.

[0035] Each connector 14a-14d is dedicated to a corresponding measuring head 9a-9d. The connectors 14a-14d may have different geometries to mechanically prevent an inappropriate measuring head from being connected to the wrong connector.

[0036] The printed circuit board 12 also carries a processor 15 used to manage the various electronic components of the embedded system 2.

[0037] The embedded system 2 may also include a battery that provides electrical power to the system components. The battery may be removable. The embedded system 2 may include a power port for connecting to a suitable power source to recharge the battery. Thus, the embedded system can be used for several hours continuously without needing to be connected to the mains power supply, and can be powered without being removed from the user.

[0038] The embedded system 2 may also include a memory for storing temporarily a number of measures before communication towards the remote system 3.

[0039] In one particular embodiment, the first sensor 8a is a neurophysiological electrical potential sensor. The term "neurophysiological" here refers to the characterization of the animal's nervous system. In a first example, the first sensor 8a is an electroencephalogram sensor. This sensor 8a comprises one or more measuring heads 9a intended to be positioned, during use, near the user's brain. For example, non-invasive transcranial measuring heads 9a are used, positioned at certain predetermined locations in the brain. For example, a measuring head 9a is used at the level of the cerebellum, which provides a reference electrical potential used in the context of electrical potential difference measurements by other sensors.

[0040] Each measuring head 9a delivers a signal relating to the electrical potential of the brain area in its vicinity. These signals can be processed to determine various user parameters.

[0041] Alternatively, the first sensor 8a is an electrocardiogram sensor.

[0042] Alternatively, the first sensor 8a is an electromyogram sensor. We put by An example involves implementing a non-invasive measurement using measuring electrodes placed on the user's skin facing the muscles whose activity we wish to measure, and measuring the electrical activity associated with the muscle activity.

[0043] Alternatively, the first sensor 8a is an electro-oculogram sensor. For example, pairs of electrodes are placed above and below the eye and adapted to detect the electrochemical potential of the eye between the cornea and the retina. Alternatively, a single electrode is placed on an area of ​​the eye, and a difference in electrical potential relative to a reference potential is detected. This difference in electrical potential can be representative of the movement of the eyeball.

[0044] In these various examples, a neurophysiological electrical potential is detected. This signal can be processed to determine an electrical potential difference, for example, by means of a reference electrical potential. Various processing methods can be applied, the resulting signals corresponding to a quantity related to the measured neurophysiological electrical potential.

[0045] According to this first embodiment, the second sensor 8b can be chosen from among the sensors described below. The second sensor 8b is a sensor for a physiological parameter or a position or movement sensor.

[0046] The position or motion sensor may include one or more accelerometers, gyroscopes, magnetometers, and is adapted to determine a macroscopic position and / or orientation of the user as a whole or of a part of the user relative to a reference, or a velocity or acceleration of that user. reader or part of the user.

[0047] If the second sensor is a sensor of a physiological parameter, it can be chosen from the list below.

[0048] The second sensor 8b is a heart rate sensor. For example, a photoplethysmograph equipped with a light source exhibiting a suitable spectrum can be used. The light is emitted at the measuring head 9b, and the reflected light is detected by the measuring head 9b and then analyzed. The optical characteristics of the reflected light depend on the characteristics of the emitted beam and the heart rate, so that the processing allows the latter to be detected. Other measurement technologies are conceivable, such as those based on an electrical potential difference related to the expansion and contraction of the heart chambers.

[0049] The second sensor 8b is a blood pressure sensor. A photoplethysmograph, as described above, can also be used, the signals from which are processed to determine blood pressure.

[0050] The second sensor 8b is a respiratory rate sensor. For example, a breathing belt, an exhaled airflow sensor, or a thoracic pressure sensor can be used.

[0051] The second sensor 8b is a temperature sensor. For example, a thermistor, a thermocouple and / or a semiconductor sensor can be used.

[0052] The second sensor 8b is, for example, a body temperature sensor. For example, an oral, ear, forehead, axillary, or contact thermometer can be used to measure skin temperature.

[0053] The second sensor 8b is a temperature sensor for an internal organ, for example a brain temperature sensor. A rectal thermometer, an ear thermometer, or an ingestible sensor can be used, for example.

[0054] The second sensor 8b is a skin hydration sensor.

[0055] The second sensor 8b is a blood oximetry sensor. For example, one uses an optical sensor, adapted to measure the absorption of red and infrared light by vascularized tissues.

[0056] The second sensor 8b is a capnogram sensor. For example, a measuring head comprising a carbon dioxide sensor is used, adapted to detect a concentration of carbon dioxide in the air exhaled by the user.

[0057] The second sensor 8b is a pressure sensor, suitable for measuring blood pressure, respiratory pressure, intracranial pressure, or other physiological pressure. For example, a piezoresistive sensor, a capacitive sensor, and / or a microelectromechanical system sensor are used, suitable for detecting a variation in electrical resistance, electrical capacitance, deformation, or stress due to pressure.

[0058] The second sensor 8b is a breathing air flow sensor. For example, a suitable thermal sensor and / or differential pressure sensor is used to measure a variation in temperature, velocity, or pressure of the airflow due to the flow rate.

[0059] In the examples shown above, the measuring heads 9 are often positioned at a distance from the housing 6, in other words "remote," and connected to the housing by wire or wirelessly, to minimize inconvenience to the user. Alternatively, however, one or more measuring heads could be directly integrated into the housing 6.

[0060] The embedded system 2 which has just been described is capable of having several configurations.

[0061] According to a first, so-called "complete" configuration, as shown in [Fig. 4], the embedded system 2 comprises a first set of sensors 8. This first set of sensors 8 includes at least one first sensor 8a of neurophysiological electrical potential. This first set of sensors 8 also includes at least one second sensor 8b other than the first sensor, i.e., implementing a distinct measurement technology and / or measuring a physiological, positional, or movement parameter other than the first sensor.

[0062] According to a second, so-called "partial" configuration, as shown in [Fig. 5], the embedded system 2 comprises a second set of sensors 8. The second set of sensors 8 constitutes a subset of the first set of sensors 8 of the first configuration. The list of sensors in the second set of sensors 8 is strictly contained within the list of sensors in the first set of sensors 8. The number of sensors in the second set of sensors 8 is strictly less than that in the first set of sensors 8. It is at least equal to one.

[0063] If necessary, the embedded system 2 can take one or more other configurations, each characterized by a set of sensors constituting a subset of the first set of sensors 8 of the first configuration.

[0064] Thus, if the present description refers to "first," "second," or other configurations of the embedded system 2, these qualifiers are not necessarily linked to a chronological implementation of the configurations in use. The first configuration is the most complete, and the other configurations constitute less complete, or degraded, versions of the first configuration.

[0065] As shown in [Fig. 6], the remote system 3 includes a processor 16 adapted to manage the various electronic components of the remote system 3. In particular, the processor 16 can implement a first computerized characterization module 17a determining a value of a parameter representative of the user's physiological and cerebral state from the measurement data in the first configuration, and a predefined learning rule defining a relationship between The parameter representing the physiological and cerebral state and measurement data in the first configuration. This parameter representing the user's physiological and cerebral state depends both on the detected neurophysiological electrical potential and on another user parameter.

[0066] For example, a parameter representative of the physiological and cerebral state is a sleep state of the user, a parameter representative of the depth of anesthesia, analgesia, pain, epilepsy or a predictive index of awakening.

[0067] The processor 16 can also implement a second computerized characterization module 17b that determines a value for a user index from measurement data in the second configuration and a predefined rule defining a relationship between the index and measurement data in the second configuration. This rule can, in particular, be defined by learning. If necessary, it also uses measurement data from the first configuration.

[0068] The processor 16 can also access a clock 18 adapted to date the representative parameter and / or the index.

[0069] The processor 16 also includes a computerized monitoring module 19 adapted to determine an index evolution parameter by applying a predetermined rule to several time-spaced index values. This rule can, in particular, be defined by learning.

[0070] The remote system 3 may include a screen to display the value or values ​​determined by a computerized characterization module.

[0071] The system just described can be used as follows.

[0072] In a first phase, for example a pre-operational phase, the embedded system 2 is placed in its second configuration. This involves connecting at least one measuring head of a sensor to the corresponding connector 14 of the housing 6. The embedded system 2 is worn continuously by the user during this first phase, which typically lasts at least six hours. The measurements taken by the sensors 8 in the second configuration are regularly sent to the remote system 3, and the second characterization module 17b repeatedly determines the index from these measurement data. Alternatively, the embedded system 2 is worn intermittently during this first phase.

[0073] In a second phase, for example including an intraoperative period, the embedded system 2 is placed in its first configuration. For this purpose, new sensors 8 are connected to the housing 6 without replacing or removing the sensors of the second configuration, and the corresponding measuring heads are placed on the user. In this configuration, at least one sensor is a neurophysiological electrical potential sensor. Thus, the embedded system 2 continues to be worn by the user during the transition from the first to the second phase, and then during the second phase. The measurements taken by the sensors 8 in the first configuration are regularly sent to the remote system 3, and the first characterization module 17a repeatedly determines a value of the parameter representative of the user's physiological and cerebral state from the neurophysiological electrical potential measurement data, the second measurement data, and the predefined learning rule defining a relationship between the parameter representative of the physiological and cerebral state, the neurophysiological electrical potential measurement data and the second measurement data.

[0074] In a third phase, for example post-operative, the embedded system 2 is placed in a third configuration. The third configuration may be different from the first configuration. The third configuration may be identical to the second configuration. For this purpose, some sensors 8 are disconnected from the housing 6 without replacing or removing other sensors. Thus, the embedded system 2 continues to be worn by the user during the transition from the second to the third phase, and then throughout the third phase. The measurements taken by the sensors 8 in the third configuration are regularly sent to the remote system 3, and a suitable characterization module repeatedly determines an index from these measurement data.

[0075] During the first, second, and / or third phase, a computerized characterization module can trigger an alert based on the determined index value and / or representative parameter, or on a variation of this value. The alert triggering rule may, for example, have been determined by learning.

[0076] In particular, the computerized monitoring module 19 can trigger an alert based on the comparison of a specific index during the first phase and a specific index during the third phase. The alert triggering rule may, for example, have been determined by learning.

[0077] The cumulative duration of the three phases can extend, for example, from 1 day up to 100 days, in particular from 1 day up to 30 days.

[0078] In the embodiments presented above, the remote system 3 comprises a computer 5 including a processor 16 comprising various computer modules described above. However, alternatively, the remote system 3 may include a server 20, as shown in [Fig. 1], located remotely from the smartphone 3, and communicating with it wirelessly, using any suitable technology. The computer modules described above as forming part of the processor 16 may be partially or completely part of a processor in the server 20. The server 20 may have greater availability and computing power than the smartphone 5. The remote system 3 may also include a display system suitable for visualizing the values ​​determined by the processors of the remote system 3. This viewing system may include the user's smartphone 5, and / or a viewing system of a health service, doctor or veterinarian accessing information relating to the user.

[0079] Learning Phase: During a learning phase, multiple users are equipped with the embedded system, each during an observation period. The following description relates to a user equipped with an embedded system during an observation period. The description is applicable to other users during other observation periods. The embedded system during this observation period may take on a single or several successive configurations over time. Furthermore, depending on the users, the configurations of the embedded systems during the observation periods may be identical or different.

[0080] The sensors 8 measure data during the observation period. Continuously during the observation period and / or at its conclusion, a specialist analyzes the generated measurement data and labels at least one event on it. An event can be identified from measurement data from a single sensor or from multiple sensors.

[0081] Labeled measurement data from observation phases are stored in a database.

[0082] A predictive model is generated to predict the occurrence of an event based on measurement data from various sensors, using data from a database. The predictive model is generated, for example, through machine learning. Different machine learning techniques can be implemented to establish the predictive model. For example, a portion of the labeled measurement data is used as a training database. An initial version of the predictive model is generated. Then, measurement data from another portion of the labeled measurement data is fed into the predictive model, and the model is modified so that the predicted label for this input data corresponds to the label determined by the expert.

[0083] This training makes it possible to define a rule defining a relationship between a parameter representative of the physiological and cerebral state (the label defined by the specialist) and the measurement data.

[0084] According to one embodiment, a rule for an embedded system configuration takes into account measurements obtained in at least one previous observation phase with another embedded system configuration.

[0085] According to the embodiments, in the learning phase, several rules, corresponding to several labels, can be determined.

[0086] A rule may be specific to a given configuration of the embedded system.

[0087] A rule can be specific to a specific sequence of configurations of the embedded system, for example an initial specific configuration followed by a A second specific configuration, or, in another example, a first specific configuration followed by a third specific configuration with a second non-specific configuration in between. Another example includes a first specific configuration followed by a second specific configuration, then followed by a third specific configuration.

[0088] According to one embodiment, the rule can be specific to a given population of users, defined by parameters of animal breed, age, sex, weight, medical history, physical condition or other.

[0089] According to one embodiment, the rule can take into account environmental conditions such as, for example, the ambient temperature in which the user is located. This environmental condition is, for example, measured by a dedicated sensor of the embedded system.

[0090] According to one embodiment, the rule may be specific to a given pathology and / or to a given medical act, such as a given surgical intervention, a given intake of medication or other.

[0091] Generic example

[0092] The method described above is implemented to characterize the effect of a medical intervention on a patient.

[0093] During a period of time preceding the medical intervention, referred to as the "first phase," the patient is continuously equipped with the system according to the invention, in a "partial" configuration. The system includes a respiratory rate sensor. The respiratory rate is measured continuously over time during this first phase. A first computerized characterization module regularly processes these measurements according to a first predetermined rule.

[0094] For the medical intervention, referred to as the "second phase," the system according to the invention is supplemented by the addition of an additional sensor, in this case an electroencephalogram sensor, while retaining the respiratory rate sensor in place. A second computerized characterization module regularly processes the measurements from the respiratory rate sensor and the electroencephalogram, according to a second predetermined rule, and determines a parameter representative of the patient's sleep state, as a parameter representative of the physiological and cerebral state, based on these measurements.

[0095] In a post-operative phase, referred to as the "third phase," the electroencephalogram sensor is removed from the system according to the invention, while keeping the respiratory rate sensor in place. A third computerized characterization module regularly processes these measurements according to a third predetermined rule. This third rule makes it possible to characterize the patient's respiratory rate during this phase. A fourth computerized characterization module regularly processes these measurements according to a third predetermined rule. This third rule makes it possible to characterize the patient's respiratory rate during this phase. These measurements, along with those obtained during the second phase, are processed regularly according to a fourth predetermined rule. This fourth rule characterizes the patient's respiratory rate during this phase, taking into account the fact that the patient underwent an intervention and the parameters measured during that intervention. A fifth computerized characterization module regularly processes these measurements, along with those obtained during the first phase, according to a fifth predetermined rule. This fifth rule characterizes the patient's respiratory rate during this phase by comparison with the preoperative respiratory rate and allows for the detection of a potential impact of the intervention. A sixth computerized characterization module regularly processes these measurements, along with those obtained during the first and second phases, according to a sixth predetermined rule.This sixth rule allows us to characterize the patient's respiratory rate during this phase by taking into account pre-operative data and data during the intervention, and allows us to detect more precisely a potential impact of the intervention.

[0096] Example 1

[0097] Paul, a 65-year-old man, is scheduled to undergo total hip replacement surgery. Paul has a history of asthma and is currently taking medication to control it. In the first phase, Paul is fitted with the system, and his vital signs, including heart rate, blood pressure, and oxygen levels, as well as his electroencephalogram (EEG), are monitored and recorded. A first rule is applied in case adjustments need to be made to his medication regimen before the surgery. A second rule is applied to identify any potential complications that may occur during or after the surgery.

[0098] In a second phase, at the hospital, the embedded system is configured with additional sensors. During the operation, the system continuously monitors Paul's vital signs, and a rule is applied to determine the depth of anesthesia. This value can then be used by the anesthesiologist to make adjustments to Paul's anesthesia, necessary to ensure his safety and comfort during and after the procedure. For example, when the device indicates a drop in blood oxygen levels and a disturbance in the electroencephalogram signal, the anesthesiologist can quickly adjust Paul's breathing, thus preventing any potential complications. The anesthesia dosage will also determine the patient's response during the immediate post-surgery recovery period.

[0099] After the operation, Paul's vital signs are continuously monitored using the system during his recovery period. This ensures that his signs Vital signs remain stable. A rule determines whether medication dosages are appropriate, and the results can be used to make necessary adjustments to his medication regimen during his recovery. Another rule establishes an indicator that medical staff can use to determine whether Paul can return home, where he can recover under remote monitoring, or if his condition is critical and he must remain in the hospital. The system identifies any potential complications that might arise during the recovery period and allows for appropriate action to be taken. During this recovery period, the onboard system may have been placed in a third configuration. Alternatively, during the initial setup period, the onboard system remains in the second configuration and is then switched to a third configuration when Paul leaves the healthcare facility.Using the system throughout Paul's operation and recovery period allowed for a safer and more efficient operation. List of reference signs

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[0121] 1: Measurement system 2: Embedded system 3: Remote system 4: Wireless communication system 5: Smartphone 6: Housing 7: Headband 8: Sensor 9: Measuring head 10: Electronics 11: Enclosure 12: Printed circuit board 13: Cable 14: Connector 15: Processor 16: Processor 17: Computerized characterization module 18: Clock 19: Module computerized surveillance 20: server 25: first wireless communication module 26: second wireless communication module.

Claims

1. Claims System for measuring a parameter representative of the physiological and cerebral state in the animal, said measuring system comprising: - an on-board system (2), the on-board system comprising at least one box (6) adapted to be worn by the animal and, in a complete configuration, at least a first and a second sensor (8), . in a partial configuration, only one of said at least one first and one second sensor (8), at least one of which is remote from the housing (6), and at least one cable (13) each connecting a sensor (8) remote from the housing (6), at least one of said first and second sensors (8) being a neurophysiological electrical potential sensor repeatedly producing neurophysiological electrical potential measurement data, and at least one of said first and second sensors (8) being a sensor other than the first sensor, and repeatedly producing second measurement data of the animal, and the housing (6) comprising at least one electronic system comprising at least one processor (15) managing said at least one first and one second sensor (8) and a first wireless communication module (25) adapted to communicate wirelessly with a remote system, and at least to repeatedly transmit to the remote system the neurophysiological electrical potential measurement data and the second measurement data, - said remote system (3), said remote system (3) comprising at least one second wireless communication module (26) adapted to communicate wirelessly with the first wireless communication module (25) of the embedded system (2), and a processor (16) comprising a first computerized characterization module (17) adapted to determine an index from the neurophysiological electrical potential measurement data or the second measurement data produced in the partial configuration, and a second computerized characterization module (17) adapted to determine a value of the parameter representative of the physiological and cerebral state from the neurophysiological electrical potential measurement data, the second measurement data in the complete configuration, and a predefined rule by learning defining a relationship between the parameter representative of the physiological and cerebral state, the measurement data neurophysiological electrical potential and second measurement data.

2. A measuring system according to claim 1, wherein the first sensor (8) is a sensor selected from the list {electroencephalogram, electromyogram, electrocardiogram and electrooculogram}.

3. A measuring system according to claim 1 or 2, wherein the second sensor (8) is a sensor selected from the list {heart rate sensor, respiratory rate sensor, body temperature and / or internal organ sensor, skin hydration sensor, blood oximetry sensor, capnogram, blood, respiratory and / or intracranial pressure sensor; position or movement sensor}, or a physiological sensor selected from the list {heart rate sensor, respiratory rate sensor, body temperature and / or internal organ sensor, skin hydration sensor, blood oximetry sensor, capnogram, blood, respiratory and / or intracranial pressure sensor}, or a position or movement sensor.

4. Measuring system according to one of claims 1 to 3, in which the parameter representative of the physiological and cerebral state in the animal is representative of the state of sleep, the depth of anesthesia, analgesia, epilepsy or pain or a predictive index of awakening.

5. A measuring system according to one of claims 1 to 4, wherein the neurophysiological electrical potential sensor is an electroencephalogram sensor adapted to measure brain activity in several regions of the animal's brain.

6. Measuring system according to one of claims 1 to 5, in which the on-board system (2) comprises a bracelet, a cap, a belt, a helmet, a headpiece, a collar, a harness, a headband or a support carrying the housing.

7. Measurement system according to one of claims 1 to 6, in which the on-board system further comprises an environmental conditions sensor repeatedly producing environmental conditions data, and in which the processor (16) is adapted to determine a value of the parameter representative of the physiological and cerebral state from further environmental conditions data, said predefined rule by learning defining a relationship between the parameter representative of the physiological and cerebral state, environmental conditions data neurophysiological electrical potential measurement, second measurement data and environmental conditions data.

8. Measuring system according to one of claims 1 to 7, in which the processor (16) is adapted to determine a value of the parameter representative of the physiological and cerebral state from, in addition, data on age, sex, medication and / or weight of the animal, said rule predefined by learning defining said relationship in relation in addition to data on age, sex, medication, weight, medical history and / or physical condition.

9. Measurement system according to one of claims 1 to 8, in which the first computerized characterization module (17) is adapted to determine said index from, in addition, measurement data produced in the complete configuration, and / or in which the second computerized characterization module (17) is adapted to determine the value of the parameter representative of the physiological and cerebral state from, in addition, measurement data in the partial configuration, and a rule predefined by learning defining a relationship between the parameter representative of the physiological and cerebral state, neurophysiological electrical potential measurement data and second measurement data in the complete configuration and measurement data in the partial configuration.

10. Measurement system according to claims 1 to 9, in which at least one of said computerized characterization modules (17) is adapted to be implemented repeatedly, and further comprising a computerized monitoring module (19) adapted to determine an evolution parameter from the repeated values ​​of index and / or parameter representative of the physiological and cerebral state.

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