Abstract: There is provided a system and method of assessing the quality of the extraction of the signal and the reliability of the physiological measurement by providing a system for producing a quality metric for physiological information extraction from a sequence of image frames, the system comprising a signal extraction unit configured to extract a signal representative of a physiological characteristic from a plurality of the image frames, a signal analyzer configured to calculate a plurality of physiological information results from the signal using a plurality of calculation functions, the plurality of calculation functions being comprised within a list of calculation functions, each physiological information result being calculated using a different calculation function, and a quality metric calculator for calculating a quality metric value based on a signal analysis metric derived from a comparison between the physiological information results of the plurality of physiological information results.

Abstract: A method of characterizing a patient's disordered breathing during a sleeping period includes performing a first partial characterization of a time axis of an audio signal in order to learn the most prominent and highly relevant events. Only at a later stage, i.e., after sufficient observation of the highly relevant events, is a full segmentation of the entire time axis actually carried out. Linear prediction is used to create an excitation signal that is employed to provide better segmentation than would be possible using the original audio signal alone. Warped linear prediction or Laguerre linear prediction is employed to create an accurate spectral representation with flexibility in the details provided in different frequency ranges. A resonance probability function is generated to further characterize the signals in order to identify disordered breathing. An output includes a characterization in any of a variety of forms of identified disordered breathing.

Abstract: A method of characterizing a patient's disordered breathing during a sleeping period includes performing a first partial characterization of a time axis of an audio signal in order to learn the most prominent and highly relevant events. Only at a later stage, i.e., after sufficient observation of the highly relevant events, is a full segmentation of the entire time axis actually carried out. Linear prediction is used to create an excitation signal that is employed to provide better segmentation than would be possible using the original audio signal alone. Warped linear prediction or Laguerre linear prediction is employed to create an accurate spectral representation with flexibility in the details provided in different frequency ranges. A resonance probability function is generated to further characterize the signals in order to identify disordered breathing. An output includes a characterization in any of a variety of forms of identified disordered breathing.

Abstract: The present invention relates to a device, system and method for CO2 monitoring. To enable continuous monitoring at low cost and in a simple manner, the device comprises a signal input (10) for obtaining one or more monitoring signals (20) of a monitored area, a breathing monitor (11) for determining one or more breathing parameters (21) of one or more subjects present in the monitored area from the obtained one or more monitoring signals, and a CO2 estimation unit (12) for estimating the CO2 level (22) in the monitored area based on the determined one or more breathing parameters.

Abstract: The present invention relates to a device, system and method for obtaining a vital signal of a subject. To achieved increased robustness against motion, the device comprises a decomposition unit (12) for performing a spectral decomposition of at least two photoplethysmography detection signals being related to a physiological property of the subject and allowing extraction of a vital sign of the subject to obtain two or more spectral components of the detection signals. A weight is determined per spectral component based on an estimate of the relevance of the respective spectral component to the vital sign, derived from a characteristic of said spectral component.

Abstract: A method of characterizing a patient's disordered breathing during a sleeping period includes performing a first partial characterization of a time axis of an audio signal in order to learn the most prominent and highly relevant events. Only at a later stage, i.e., after sufficient observation of the highly relevant events, is a full segmentation of the entire time axis actually carried out. Linear prediction is used to create an excitation signal that is employed to provide better segmentation than would be possible using the original audio signal alone. Warped linear prediction or Laguerre linear prediction is employed to create an accurate spectral representation with flexibility in the details provided in different frequency ranges. A resonance probability function is generated to further characterize the signals in order to identify disordered breathing. An output includes a characterization in any of a variety of forms of identified disordered breathing.

Abstract: The present invention relates to a system for monitoring asthma symptoms of a subject (12), comprising a monitoring unit (14) configured to monitor at least one objective asthma symptom of the subject, an analysis unit (16) configured to determine an asthma status of the subject based on the at least one objective asthma symptom monitored by the monitoring unit, a test unit (18) configured to provide a test for collecting subjective asthma symptoms from the subject, if the at least one objective asthma symptom monitored by the monitoring unit (14) has changed in a manner that the change reveals a deterioration of the asthma status of the subject. Further the system comprises a calibration unit (24) configured to calibrate the at least one objective asthma symptom gathered from the subject with respect to a calibration test, wherein the calibration unit (24) is arranged to perform calibration at least once during an initial phase of use of the system (10).

Abstract: The present invention relates to a device, system and method for pulsatility detection.

Abstract: There is provided a system and method of assessing the quality of the extraction of the signal and the reliability of the physiological measurement by providing a system for producing a quality metric for physiological information extraction from a sequence of image frames, the system comprising a signal extraction unit configured to extract a signal representative of a physiological characteristic from a plurality of the image frames, a signal analyzer configured to calculate a plurality of physiological information results from the signal using a plurality of calculation functions, the plurality of calculation functions being comprised within a list of calculation functions, each physiological information result being calculated using a different calculation function, and a quality metric calculator for calculating a quality metric value based on a signal analysis metric derived from a comparison between the physiological information results of the plurality of physiological information results.

Abstract: The present invention relates to a device, system and method for determining a vital sign of a person. To improve accuracy and reliability of vital sign determination, the device comprises an input unit (20) for obtaining a vital sign related signal of at least a body part of the person, from which a vital sign can be derived, a body part position determining unit (21) for determining if said body part of the person is in contact with a support or not and generating a contact signal indicating if said body part is in contact with the support or not, a quality metric setting unit (22) for setting, based on said contact signal, a quality metric for use in the determination of a vital sign of the person, and a vital sign deriving unit (23) for deriving a vital sign from the obtained vital sign related signal, wherein the set quality metric is used in the derivation of the vital sign and/or in a judgment of the reliability of a derived vital.

Abstract: Various improvements are provided to breathing training, monitoring and/or assistance devices. A portable device is provided which optionally includes a gas canister, a feedback system for implementing pressure control, and a visual output for indicating adherence to a breathing exercise to the user. The pressure control may provide regulation of different pressures for inhalation and exhalation.

Abstract: Various improvements are provided to breathing training, monitoring and/or assistance devices. A portable device is provided which optionally includes a gas canister, a feedback system for implementing pressure control, and a visual output for indicating adherence to a breathing exercise to the user. The pressure control may provide regulation of different pressures for inhalation and exhalation.

Abstract: A breathing training, monitoring and/or assistance device is provided for home use. The device is for providing support and guidance during the training of breathing exercises. The device takes account of external data which relates to one or more of: the environmental conditions in which the device is being used; activity information in respect of the user; physiological sensor data about the user which is not related to breathing characteristics.

Abstract: The present invention relates to a medical feedback system (100) based on sound analysis in a medical environment. With a sound scene analyzer (SSA, 10) being capable of analyzing and classifying an audio signal so as to obtain a list of one or more sound sources in the medical environment surrounding the patient, and a sound-level analyzer (SLA, 20) being capable of providing an indicator for perceived levels of corresponding sound from the list of sound sources, advanced sound analysis is possible. Finally, a sound classifier (SC, 30) is arranged for classifying said list of one or more sound sources in a medical environment with respect to a degree of avoidability, and generating a corresponding feedback signal (FEED, 50) for appropriate action by medical personal, patients and/or visitors.

Abstract: A device for determining a vital sign of a subject comprises an interface that receives a data stream derived from detected electromagnetic radiation reflected from a region of interest including a skin area of the subject, said data stream comprising a data signal per skin pixel area of one or more skin pixels for a plurality of skin pixel areas of said region of interest, a data signal representing the detected electromagnetic radiation reflected from the respective skin pixel area over time. An analyzer analyzes spatial and/or temporal properties of the skin area. A processor determines a vital sign information signal of the subject based on the data signals of skin pixel areas within the skin area, and a post-processor determines the desired vital sign from said vital sign information signal, wherein said determined spatial and/or temporal properties are used by the processor for determining the vital sign information signal and/or by the post-processor for determining the desired vital sign.

Abstract: The present invention relates to a device (22) for processing input signals (34a, 34b) related to a vital sign of a subject (10), comprising an interface (24) for receiving a non-invasively detected input signal (34a, 34b), a feature extraction module (26) for extracting at least one feature of the input signal (34a, 34b), said at least one feature including an instantaneous frequency representation (40a, 40b) of the input signal (34a, 34b) and/or an instantaneous amplitude representation (42a, 42b) of the input signal (34a, 34b), a processing module (28) for determining a signal information content parameter (52) for the input signal (34a, 34b) based on the at least one extracted feature, said signal information content parameter (52) being indicative of information on a vital sign of the subject (10) included in the input signal (34a, 34b) and a combination module (30) for combining a plurality of input signals based on the signal information content parameters (52) of the plurality of input signals into a

Abstract: A method for assisting a user in selecting audible alarm settings of a patient monitoring system for monitoring a patient is provided. A synthesis model is generated in response to 1) data indicative of audio features derived from audio recorded in the patient room, and 2) data indicative of vital signs recorded from the patient monitoring system. Sets of audio parameters indicative of respective plurality of audible alarm settings are then processed according to the synthesis model so as to generate respective outputs, e.g. indicative of audibility of the plurality of alarm sounds according to the audible alarm settings synthesized to be played in or outside the patient room. These outputs can then be presented to a user, so as to allow the user to evaluate e.g. alarm audibility and noise level impact of the plurality of audible alarm settings, and e.g. adjust the settings accordingly, such as alarm thresholds etc.

Abstract: The present invention relates to a system (100) and method (800) capable of indirectly monitoring respiratory and cardiac variables. A decomposition technique on time-series of features extracted from the chest audio signal ?(t) is proposed. The proposed monitoring system (100) may acquire the acoustic signal on the chest of a subject (140) by means of a wearable transducer (150). The proposed system may estimate a number of physiological variables such as flow estimates, respiration rate, inspiration and expiration markers and cardiac related variables. Cough and apnea detection, adventitious sound recognition, activities performed, and information about energy estimation and the status of a monitored subject can be derived as well.

Abstract: The invention relates to a medical monitoring system (100) based on sound analysis in a medical environment. A sound level analyzer (SLA, 10) is capable of providing an indicator for perceived levels of sound from a number of sound events, and a data storage modality (DSM, 20) is receiving and storing said indicator for perceived levels of sound and also corresponding information from an associated patient monitoring system (PMS, 60) handling information indicative of a physical and/or mental condition of a patient under influence by sound. A sound event analyzer (SEA, 30) is further being arranged for performing, within a defined time window, an overall sound analysis (ANA, 50) related to physical and/or mental condition of the patient that may be influenced by sound in order to assist or supervise medical personal with respect to the acoustic environment.

Abstract: The present invention relates to a device (22) for processing input signals (34a, 34b) related to a vital sign of a subject (10), comprising an interface (24) for receiving a non-invasively detected input signal (34a, 34b), a feature extraction module (26) for extracting at least one feature of the input signal (34a, 34b), said at least one feature including an instantaneous frequency representation (40a, 40b) of the input signal (34a, 34b) and/or an instantaneous amplitude representation (42a, 42b) of the input signal (34a, 34b), a processing module (28) for determining a signal information content parameter (52) for the input signal (34a, 34b) based on the at least one extracted feature, said signal information content parameter (52) being indicative of information on a vital sign of the subject (10) included in the input signal (34a, 34b) and a combination module (30) for combining a plurality of input signals based on the signal information content parameters (52) of the plurality of input signals into a