Systems and methods for monitoring physiologic response to Valsalva maneuver (VM) are disclosed. An exemplary patient monitor may detect a natural incidence of a VM session occurred in an ambulatory setting using a heart sound (HS) signal sensed from the patient. The patient monitor may include a physiologic response analyzer to sense patient physiologic response during the detected VM session, and generate a cardiovascular or autonomic function indicator based on the sensed physiologic response to the VM. Using the physiologic response to the VM, the system may detect a target physiologic event using the sensed physiologic response to the VM.

Systems and methods for monitoring physiologic response to Valsalva maneuver (VM) are disclosed. An exemplary patient monitor may detect a natural incidence of a VM session occurred in an ambulatory setting using a heart sound (HS) signal sensed from the patient. The patient monitor may include a physiologic response analyzer to sense patient physiologic response during the detected VM session, and generate a cardiovascular or autonomic function indicator based on the sensed physiologic response to the VM. Using the physiologic response to the VM, the system may detect a target physiologic event using the sensed physiologic response to the VM.

The present invention may provide a device and a method for detecting and diagnosing sleep apnea, which can accurately determine an apnea state by: extracting a respiration signal of an examinee from a received signal which is a reflection of an impulse signal emitted from at least one IR-UWB radar; setting a threshold value for determining an apnea state from changes in the deviation and interval between peaks of the extracted respiration signal; and comparing the set threshold value with the deviation between the peaks. Therefore, the sleep apnea can be accurately detected and diagnosed using a non-contact/noninvasive method, and thus inconvenience felt by the examinee can be reduced.

An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire data descriptive of a patient, a memory, a user interface, and at least one processor coupled with the memory, the at least one sensor, and the user interface. The at least one processor is configured to determine whether the ambulatory medical device is within a predefined range of a reference location and to initiate location-specific processing in response to determining that the ambulatory medical device is within the predefined range. The location-specific processing includes at least one of issuing a notification and adapting the user interface.

An ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire data descriptive of a patient, a memory, a user interface, and at least one processor coupled with the memory, the at least one sensor, and the user interface. The at least one processor is configured to determine whether the ambulatory medical device is within a predefined range of a reference location and to initiate location-specific processing in response to determining that the ambulatory medical device is within the predefined range. The location-specific processing includes at least one of issuing a notification and adapting the user interface.

The present invention relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient and assigning one or more visual indicators to at least a portion of a graphic based on the calculated changes in depth and/or based on a tidal volume signal generated for the patient. In some embodiments, the systems, methods, and/or computer readable media can display the visual indicators overlaid onto at least the portion in real-time and/or can display the tidal volume signal in real-time. The systems, methods, and/or computer readable media can trigger an alert and/or an alarm when a breathing abnormality is detected.

The invention relates to a piece of sleeping or reclining furniture, comprising a support element (2) for applying a padding or a mattress and at least one sensor (12) for detecting vibrations, movement, and/or sound. The piece of sleeping or reclining furniture is characterized in that the at least one sensor (12) is arranged at a section (120) of the support element (2) that is decoupled from further sections of the support element (2) and/or of the sleeping or reclining furniture.

The invention relates to a piece of sleeping or reclining furniture, comprising a support element (2) for applying a padding or a mattress and at least one sensor (12) for detecting vibrations, movement, and/or sound. The piece of sleeping or reclining furniture is characterized in that the at least one sensor (12) is arranged at a section (120) of the support element (2) that is decoupled from further sections of the support element (2) and/or of the sleeping or reclining furniture.

An acquisition apparatus for acquiring physiological data of an individual, configured to be installed in a bed frame, with an acquisition portion which includes a sensor intended to capture mechanical waves transiting in the bed frame, a support device including one or more rigid panels, the support device being configured to rest on bed frame elements which may be discontinuous for example slats, so that the support device is interposed between the bed frame elements and the sensor, and may provide a substantially continuous support to the sensor receiving the mechanical waves generated by the individual through the bedding, if necessary with folding zones between panels.

The embodiment of the present disclosure provides a method and a system for identifying a user action. The method and system may obtain user action data collected from a plurality of measurement positions on a user, the user action data corresponding to an unknown user action, identify that the user action includes a target action when obtaining the user action data based on at least one set of target reference action data, the at least one set of target reference action data corresponding to the target action, and send information related to the target action to the user.