Abstract: The invention relates to a system for trapping atmospheric emissions, made up of a liquefaction tank which contains a liquid that traps the dust, smokes or gas, which are injected into the same through a main duct, to which the source of the emission to be trapped is connected, said duct including a first fan which operates by absorbing and propelling the dust, smoke and gas, guiding same into the liquefaction tank, said duct being sealed at the end of thereof, the side walls of the duct comprising at least ten outlet openings, the invention also comprising a system with at least two walls with the same effect and perforations, this causing the liquefaction of the trapped material, likewise, the invention comprises a cooling system, which guides the liquid from the tank into a serpent coil and from there to a pump which generates the recirculation of the liquid; at the top of the tank, the invention comprises an outlet duct via which the gases produced by liquefaction are guided into a compressor, which has t

Abstract: The present invention relates to an active medical device that uses non-linear filtering for reconstructing a surface electrocardiogram from an endocardial electrogram. At least one endocardial EGM electrogram signal is collected from of samples collected from at least one endocardial or epicardial derivation (71?, 72?, 73?), and at least one of a reconstructed surface electrocardiogram (ECG) signal through the processing of collected EGM samples by a transfer function (TF) of a neural network (60?). The neural network (60?) is a time-delay-type network that simultaneously processes said at least one endocardial EGM electrogram signal, formed by a first sequence of collected samples, and at least one delayed version of this EGM signal, formed by a second sequence of collected samples distinct from the first sequence collected samples. The neural network (60?) provides said reconstructed ECG signal from the EGM signal and its delayed version.

Abstract: One system includes a stimulation device such as a vagus nerve stimulation lead, and a controller for controlling the stimulation device according to a set of stimulation parameters. A memory of the stimulation device contains a state transition model, and for each state defines a set of stimulation parameters and at least one expected response during the application of stimulation with the parameters. A matrix determines the transition rules between states based on physiological levels measured versus target levels. A state transition control unit determines, in an organized timely method, possible transitions between states according to the rules on physiological levels obtained in response to the implementation of the stimulation parameters of the current state, and a transition from a current state to a new state causes a corresponding change in the parameter set used for stimulation.

Abstract: One system includes a stimulation device such as a vagus nerve stimulation lead, and a controller for controlling the stimulation device according to a set of stimulation parameters. A memory of the stimulation device contains a state transition model, and for each state defines a set of stimulation parameters and at least one expected response during the application of stimulation with the parameters. A matrix determines the transition rules between states based on physiological levels measured versus target levels. A state transition control unit determines, in an organized timely method, possible transitions between states according to the rules on physiological levels obtained in response to the implementation of the stimulation parameters of the current state, and a transition from a current state to a new state causes a corresponding change in the parameter set used for stimulation.

Abstract: One system includes a stimulation device such as a vagus nerve stimulation lead, and a controller for controlling the stimulation device according to a set of stimulation parameters. A memory of the stimulation device contains a state transition model, and for each state defines a set of stimulation parameters and at least one expected response during the application of stimulation with the parameters. A matrix determines the transition rules between states based on physiological levels measured versus target levels. A state transition control unit determines, in an organized timely method, possible transitions between states according to rules on the physiological levels obtained in response to the implementation of the stimulation parameters of the current state, and a transition from a current state to a new state causes a corresponding change in the parameter set used for stimulation.

Abstract: One system includes a stimulation device such as a vagus nerve stimulation lead, and a controller for controlling the stimulation device according to a set of stimulation parameters. A memory of the stimulation device contains a state transition model, and for each state defines a set of stimulation parameters and at least one expected response during the application of stimulation with the parameters. A matrix determines the transition rules between states based on physiological levels measured versus target levels. A state transition control unit determines, in an organized timely method, possible transitions between states according to the rules on physiological levels obtained in response to the implementation of the stimulation parameters of the current state, and a transition from a current state to a new state causes a corresponding change in the parameter set used for stimulation.

Abstract: The disclosure relates to a system including a processor configured to generate stimulation control signals in response to a detection of a respiratory disorder. The system further includes at least one kinesthetic effector with a vibrating electromechanical transducer applied to a site on a patient's skin for delivering a kinesthetic stimulation energy determined by the control signals. The processor is further configured to determine the effectiveness of a stimulation by detecting a disappearance of the respiratory disorder. The processor is further configured to determine a therapy by selecting a stimulation strategy among several stimulation strategies according to a type of expected or detected disorder.

Abstract: The disclosure relates to a system including a processor configured to generate stimulation control signals in response to a detection of a respiratory disorder. The system further includes at least one kinesthetic effector with a vibrating electromechanical transducer applied to a site on a patient's skin for delivering a kinesthetic stimulation energy determined by the control signals. The processor is further configured to determine the effectiveness of a stimulation by detecting a cessation of the respiratory disorder. The processor is further configured to extend the stimulation control signals for a determined duration following the cessation of the respiratory disorder.

Abstract: The disclosure relates to a device including a processor configured to detect a respiratory disorder episode and generate kinesthetic stimulation control signals in response to the detection of a respiratory disorder episode. The device further includes at least one kinesthetic effector adapted to be applied to a patient's outer skin site and includes a vibrating electromechanical transducer capable of receiving stimulation control signals and outputting a kinesthetic stimulation energy determined by the stimulation control signals. The processor is further configured to determine the effectiveness of stimulation by detecting a cessation of the respiratory disorder episode. The processor is further configured to determine a stimulation energy by selecting an initial energy value and varying the energy value as a function of the effectiveness of previous stimulation.

Abstract: The invention relates to an active implantable medical device. The device includes a VNS pulse generator, an activity sensor for detecting a patient's current activity level, and a processor. The processor is configured to collect the electrical activity of the heart, such as a current intrinsic heart rate of the patient. The processor further calculates values of a reference heart rate based on the patient's current activity level. A first histogram is constructed from the reference heart rate values, and a second histogram is constructed from the intrinsic heart rate values. An index representative of the patient's condition is derived by comparing the first and second histograms.

Abstract: The invention relates to an active implantable medical device. The device measures for respiratory activity and for detection of a ventilation rate fall event below a predetermined threshold. The device analyzes in real time the various parameters of the ventilation rate fall event and determines whether they satisfy predefined criteria, so as to allocate or not a priori hypopnea suspicion indicator to the event. An anti-hypopnea therapy is selectively triggered on detection of respiratory collapse, but only in the case of current events indicating a priori hypopnea suspicion. The criteria may include: history of intervals between successive events constituting hypopnea episodes; severity of the current event; conformity of a current event profile with a reference profile; physiological, obstructive or central, origin of the event; patient's current sleep stage; and history of the degree of efficacy of the therapies.

Abstract: An active implantable medical device for neurostimulation therapy is disclosed. The device produces stimulation pulse sequences generated continuously in succession during activity periods separated by intermediate inactivity periods during which no stimulation is issued. An input signal, provided by a physiological sensor, representative of cardiac activity and/or of the patient's hemodynamic status is received by circuitry. The circuitry further provides for dynamic control of the neurostimulation therapy, wherein the length of activity periods is modulated based on the current value level of the control parameter compared to a threshold. The duration of the next period of inactivity is calculated by the circuitry at the end of each activity period to maintain a constant duty cycle ratio between periods of activity and periods of inactivity.

Abstract: A device for treating sleep apnea by discriminating between successive sleep stages of a patient includes a generator configured to produce stimulation pulses, a stimulator that receives the stimulation pulses produced by the generator and delivers stimulation to the patient, a sensor configured to measure a biological parameter of the patient, and a controller. The controller is configured to determine a state of the patient based on the biological parameter, perform a sleep analysis based on the state of the patient, activate the generator to trigger production of the stimulation pulses, determine a variation of the biological parameter subsequent to the production of the stimulation pulses, determine a response of the patient to the stimulation pulses according to the variation of the biological parameter, and determine a sleep stage of the patient based on the response.

Abstract: A system for assessing a sympathovagal balance of a patient includes a generator configured to produce stimulation pulses, a stimulator that receives the stimulation pulses produced by the generator and outputs a stimulation energy, a sensor configured to measure a physiological signal, and a processor.

Abstract: A device for treating sleep apnea in a patient through stimulation. The device includes a generator configured to produce stimulation pulses, a stimulator that receives the stimulation pulses produced by the generator and delivers stimulation to the patient, and a controller.

Abstract: The invention relates to a system for trapping atmospheric emissions, made up of a liquefaction tank which contains a liquid that traps the dust, smokes or gas, which are injected into the same through a main duct, to which the source of the emission to be trapped is connected, said duct including a first fan which operates by absorbing and propelling the dust, smoke and gas, guiding same into the liquefaction tank, said duct being sealed at the end of thereof, the side walls of the duct comprising at least ten outlet openings, the invention also comprising a system with at least two walls with the same effect and perforations, this causing the liquefaction of the trapped material, likewise, the invention comprises a cooling system, which guides the liquid from the tank into a serpent coil and from there to a pump which generates the recirculation of the liquid; at the top of the tank, the invention comprises an outlet duct via which the gases produced by liquefaction are guided into a compressor, which has t

Abstract: Devices and methods related to endocardial acceleration signal processing are provided. One device is configured to: (1) divide an endocardial acceleration (EA) signal into a plurality of EA sub-signals; (2) identify, in each of the plurality of EA sub-signals, at least one signal component associated with a type of heart sound; (3) extract a characteristic of the at least one signal component for two or more of the plurality of cycles; (4) calculate a correlation coefficient correlating the at least signal component for a first cycle of the plurality of cycles to the at least one signal component of a second cycle of the plurality of cycles; and (5) perform temporal retiming of one or more of the signal components based on the correlation coefficient to generate one or more adjusted signal components of the associated one or more EA sub-signals.

Abstract: Devices and methods related to endocardial acceleration signal processing are provided. One device is configured to: (1) divide an endocardial acceleration (EA) signal into a plurality of EA sub-signals; (2) identify, in each of the plurality of EA sub-signals, at least one signal component associated with a type of heart sound; (3) extract a characteristic of the at least one signal component for two or more of the plurality of cycles; (4) calculate a correlation coefficient correlating the at least signal component for a first cycle of the plurality of cycles to the at least one signal component of a second cycle of the plurality of cycles; and (5) perform temporal retiming of one or more of the signal components based on the correlation coefficient to generate one or more adjusted signal components of the associated one or more EA sub-signals.

Abstract: The present invention relates to an active medical device that uses non-linear filtering for reconstructing a surface electrocardiogram from an endocardial electrogram. At least one endocardial EGM electrogram signal is collected from of samples collected from at least one endocardial or epicardial derivation (71?, 72?, 73?), and at least one of a reconstructed surface electrocardiogram (ECG) signal through the processing of collected EGM samples by a transfer function (TF) of a neural network (60?). The neural network (60?) is a time-delay-type network that simultaneously processes said at least one endocardial EGM electrogram signal, formed by a first sequence of collected samples, and at least one delayed version of this EGM signal, formed by a second sequence of collected samples distinct from the first sequence collected samples. The neural network (60?) provides said reconstructed ECG signal from the EGM signal and its delayed version.

Abstract: A device for the analysis of an endocardiac signal of acceleration. The device preprocesses the acquired endocardiac acceleration (EA) signal by cutting the signal EA collected into sub-signals EA, each one have a duration of one cardiac cycle; separating the cut signals to isolate in each sub-signal EA at least one component EAx, associated with a major cardiac sound, and preferably into components EA1 and EA2 associated with the two major cardiac sounds S1 and S2; and performing a correlation on each component EA1 and EA2, to readjust each sub-signal in relation to a maximum of correlation, so as to deliver a readjusted component EA1 and a readjusted component EA2. The device further determines, starting from the isolated correlated components EA1 and EA2, a component average EA1 and a component average EA2, and to combine these components EA1 and average EA2 so as to produce an average global signal EA for one cycle.