A method for monitoring periodic motions of one or more subjects uses signal reflections from the subjects. The method includes emitting a transmitted signal from a transmitting antenna and receiving a received signal at one or more receiving antennas. The received signal includes a combination of a number of reflections of the transmitted signal, at least some of which are associated with the subjects. The received signal, including the reflections, is processed to determine an estimate of a fundamental frequency of the periodic motions.

A method for monitoring periodic motions of one or more subjects uses signal reflections from the subjects. The method includes emitting a transmitted signal from a transmitting antenna and receiving a received signal at one or more receiving antennas. The received signal includes a combination of a number of reflections of the transmitted signal, at least some of which are associated with the subjects. The received signal, including the reflections, is processed to determine an estimate of a fundamental frequency of the periodic motions.

An approach is provided for matching vital sign information to a concurrently recorded data set according to a time domain. The approach involves determining sensor information collected from one or more sensors configured to monitor one or more vital signs of one or more objects within a monitored area. The approach also involves processing and/or facilitating a processing of the sensor information to detect the one or more objects and to track the one or more vital signs of the one or more objects over a time domain. The approach further involves matching the one or more vital signs of the one or more objects to a concurrently recorded data set based on the time domain. The approach further involves storing at least one record of the one or more vital signs matched to the concurrently recorded data set.

An approach is provided for matching vital sign information to a concurrently recorded data set according to a time domain. The approach involves determining sensor information collected from one or more sensors configured to monitor one or more vital signs of one or more objects within a monitored area. The approach also involves processing and/or facilitating a processing of the sensor information to detect the one or more objects and to track the one or more vital signs of the one or more objects over a time domain. The approach further involves matching the one or more vital signs of the one or more objects to a concurrently recorded data set based on the time domain. The approach further involves storing at least one record of the one or more vital signs matched to the concurrently recorded data set.

A user-wearable sensor device may be configured to be directly or indirectly secured to a user or to an article worn by the user. The user-wearable sensor device may include at least one sensor configured to collect sensor data associated with an orientation of the user, a display unit including at least one LED or other visual indicator, a battery configured to provide power to at least the display unit, and a control system. The control system may be configured to determine the orientation of the user based on sensor data collected by the at least one sensor, maintain the display unit in a deactivated state in the absence of a defined activation input, detect a defined activation input, activate the deactivated display unit in response to detecting the defined activation input, and control the activated display unit based on the determined orientation of the user.

Embodiments of the present disclosure provide respiration monitoring systems and methods for using same. The respiration monitoring device can include a first accelerometer, a second accelerometer, at least one acoustic sensor, a memory comprising a lookup table, a real-time clock, and one or more instructions, and a processor for receiving one or more motion signals from each accelerometer and one or more sound signals from each acoustic sensor. The processor can correlate the one or more motion signals to a distance value, correlate the one or more sound signals to a sound value, filter the distance value and the sound value according to limitations stored in the lookup table, assign a time stamp to each filtered value, determine local maximums for the filtered motion values and local minimums for the filtered sound values, and match the local maximums to the local minimums to confirm a completed breath.

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

A patient monitoring system to help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. The system includes a patient-worn wireless sensor that senses the patient's orientation and wirelessly transmits information indicative of the sensed orientation to a patient monitor. The patient monitor receives, stores, and processes the transmitted information. It also displays and transmits information indicative of the patient's orientation to help caregivers manage the patient's risk of formation of one or more pressure ulcers. The patient monitor detects patient turns from one position to another. The system can identify the present orientation of the patient and determine how long the patient has been in the present orientation. If the patient remains in an orientation beyond a predefined duration, the system can notify the patient and/or caretakers that the patient is due to be repositioned.

A patient monitoring system to help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. The system includes a patient-worn wireless sensor that senses the patient's orientation and wirelessly transmits information indicative of the sensed orientation to a patient monitor. The patient monitor receives, stores, and processes the transmitted information. It also displays and transmits information indicative of the patient's orientation to help caregivers manage the patient's risk of formation of one or more pressure ulcers. The patient monitor detects patient turns from one position to another. The system can identify the present orientation of the patient and determine how long the patient has been in the present orientation. If the patient remains in an orientation beyond a predefined duration, the system can notify the patient and/or caretakers that the patient is due to be repositioned.