Abstract: The present invention relates to a device (10) for determining an arterial compliance of a subject (12). The device (10) comprises an inflatable cuff (14), a pressure sensor (18) which is configured to sense a pressure signal (52) that is indicative of a pressure within the cuff (14), a second sensor (20) which is at least partly integrated in the cuff (14) and configured to sense a second signal (56) that is responsive to expansions and contractions of the cuff (14) caused by a pulsating blood flow in an artery (50) of the subject (12), and a processing unit (22). The processing unit is configured to determine based on said part of the pressure signal (52) a pulse pressure of the subject (12), to determine based on said part of the second signal (56) an arterial volume change of the artery (50) of the subject (12) during at least one cardiac cycle, and to determine the arterial compliance of the subject (12) based on pulse pressure and the arterial volume change.

Abstract: A monitoring device for monitoring a bearing in an electromagnetic field environment includes a vibration sensor for delivering at least one measurement that includes at least one vibration frequency generated by a bearing, and a processing module that includes a first processing module configured to determine at least one normalized measured value from the at least one vibration frequency, a filtering module configured to compare the normalized measured value to at least one predetermined normalized reference value indicative of electromagnetic phenomena acting on the bearing, and a second processing module configured to process the at least one vibration frequency to determine a bearing defect if the normalized measured value is different from the at least one predetermined normalized reference value.

Abstract: A monitoring device for monitoring a bearing in an electromagnetic field environment includes a vibration sensor for delivering at least one measurement that includes at least one vibration frequency generated by a bearing, and a processing module that includes a first processing module configured to determine at least one normalized measured value from the at least one vibration frequency, a filtering module configured to compare the normalized measured value to at least one predetermined normalized reference value indicative of electromagnetic phenomena acting on the bearing, and a second processing module configured to process the at least one vibration frequency to determine a bearing defect if the normalized measured value is different from the at least one predetermined normalized reference value.

Abstract: A method of identifying at least one defect of a rotating component, where the defect is selected from a group of predefined defects, includes extracting frequency data related to each of the predefined defects in order to form a first spectrum signature for each of the predefined defects. Also measuring at least one vibration signal produced by the rotating component to obtain at least two second spectrums, filtering each second spectrum based on an exponential smoothing algorithm, selecting peaks in each second spectrum according to a prominence of each of the peaks, setting selected peaks to zero if the selected peaks are not present in a predefined number of consecutive second spectrums, and calculating a probability that each first spectrum signature corresponds to at least one of the second spectrums.

Abstract: A sensor system is for determining a breathing type of a subject. It has first and second electromagnetic radiation (e.g. optical) sensors, for example PPG sensors. The sensors are for application to the skin of the subject at different sensor locations. The signals from the first and second sensors are analyzed to determine if there is predominantly a first breathing type (e.g. chest breathing) or predominantly a second breathing type (e.g. belly breathing), or a mixture of the first and second breathing types.

Abstract: A sensor system is for determining a breathing type of a subject. It has first and second electromagnetic radiation (e.g. optical) sensors, for example PPG sensors. The sensors are for application to the skin of the subject at different sensor locations. The signals from the first and second sensors are analyzed to determine if there is predominantly a first breathing type (e.g. chest breathing) or predominantly a second breathing type (e.g. belly breathing), or a mixture of the first and second breathing types.

Abstract: The present invention relates to a device (10) for determining an arterial compliance of a subject (12). The device (10) comprises an inflatable cuff (14), a pressure sensor (18) which is configured to sense a pressure signal (52) that is indicative of a pressure within the cuff (14), a second sensor (20) which is at least partly integrated in the cuff (14) and configured to sense a second signal (56) that is responsive to expansions and contractions of the cuff (14) caused by a pulsating blood flow in an artery (50) of the subject (12), and a processing unit (22). The processing unit is configured to determine based on said part of the pressure signal (52) a pulse pressure of the subject (12), to determine based on said part of the second signal (56) an arterial volume change of the artery (50) of the subject (12) during at least one cardiac cycle, and to determine the arterial compliance of the subject (12) based on pulse pressure and the arterial volume change.

Abstract: A data processing device (100, 200) determines heart rate information regarding a subject of interest (605) from time-dependent sensor data (110) that includes physiological sensor data (114) comprising a heart beat component and at least one motion artifact component, and that further includes motion sensor data (116). A reconstruction unit receives artifact-removed physiological sensor data (130) and decomposes it into a plurality of artifact-removed physiological sensor data components (145) with associated component amplitudes, and provides reconstructed heart beat component data (150) as a combination of a component subset of at least two of the artifact-removed physiological sensor data components (145) of highest component amplitudes.