A patient support system includes a patient support apparatus operable to collect biometric and/or physiological data of a patient located on the patient support apparatus, using one or more sensors that are coupled to the patient or coupled to a component of the patient support apparatus. The system can use the biometric and/or physiological data to verify the identity of a patient that is associated with the patient support apparatus or a patient room. Based on the patient verification, the system can update patient electronic medical records to include the biometric and/or physiological data, and/or perform other tasks.

A patient support system includes a patient support apparatus operable to collect biometric and/or physiological data of a patient located on the patient support apparatus, using one or more sensors that are coupled to the patient or coupled to a component of the patient support apparatus. The system can use the biometric and/or physiological data to verify the identity of a patient that is associated with the patient support apparatus or a patient room. Based on the patient verification, the system can update patient electronic medical records to include the biometric and/or physiological data, and/or perform other tasks.

A falling asleep prediction device includes a biological data acquisition unit that acquires biological information on a subject, a falling asleep prediction unit that predicts that the subject falls asleep after predetermined time by using the biological information, and a notification processing unit that notifies that the subject falls asleep after the predetermined time.

A falling asleep prediction device includes a biological data acquisition unit that acquires biological information on a subject, a falling asleep prediction unit that predicts that the subject falls asleep after predetermined time by using the biological information, and a notification processing unit that notifies that the subject falls asleep after the predetermined time.

A monitoring non-invasive device for handling of sleep apnea, snoring and emergency situations operates for breathing assistance by means of transdermal stimulation of muscle groups including the pectoralis majoris, the serratus anterior, and the abdominal muscles. A wrist mounted version may alarm drivers or others requiring focus or concentration when they fall asleep and may alert a medical center. The invention may have a pulse oximeter on a person's wrist/finger to monitor their breathing while asleep, and in the event of a serious snoring or sleep apnea episode, activate the breathing assistance pulses.

A Doppler radar system comprises a transceiver configured to concurrently transmit a first set of RF signals, having a first set of frequencies, towards target(s) in motion and a second set of RF signals, having a second set of frequencies, towards stationary reflector(s), concurrently receive a first set of reflected signals from the target(s) and a second set of reflected signals from the reflector(s), the first set of reflected signals modulated by motion of the target(s) and of a moving radar platform and the second set of reflected signals modulated by motion of the platform. The first and second sets of reflected signals are down-converted to generate a first and a second set of down-converted signals, which are demodulated to generate a first and a second set of demodulated signals, which are processed to obtain a third set of signals free of artifacts resulting from motion of the radar platform.

This detection device is a device for detecting the movement of a human body. The detection device has: a substrate having flexibility; an electric element provided on the substrate and having an electrical characteristic that changes with the movement of the human body; and a semiconductor element that is provided on the substrate, detects a change in the electrical characteristic of the electric element, and outputs a detection value corresponding to the detected result. The substrate is a flexible substrate or a fabric member including conductive fibers, for example.

The present invention relates to an image processing apparatus, an image processing method, and a recording medium for recording the same, the image processing apparatus including a storage configured to comprise a standard database (DB) established based on information about a predetermined anatomical entity; and at least one processor configured to obtain a local motion vector by registration between a first medical image and a second medical image taken by scanning an object including the anatomical entity, use a predictive local motion vector generated from the standard DB to normalize the local motion vector according to a plurality of regions in the anatomical entity, and make information about conditions of the anatomical entity based on the normalized local motion vector be provided according to the plurality of regions. By the normalization according to the regions, it is possible to provide distinguishable information about difference between the local motion vector of a pulmonary disease patient to be subjected to a diagnosis and a predictive local motion vector of a normal person generated from the standard DB through the statistical modeling using bio-information of a patient.

The present invention relates to an image processing apparatus, an image processing method, and a recording medium for recording the same, the image processing apparatus including a storage configured to comprise a standard database (DB) established based on information about a predetermined anatomical entity; and at least one processor configured to obtain a local motion vector by registration between a first medical image and a second medical image taken by scanning an object including the anatomical entity, use a predictive local motion vector generated from the standard DB to normalize the local motion vector according to a plurality of regions in the anatomical entity, and make information about conditions of the anatomical entity based on the normalized local motion vector be provided according to the plurality of regions. By the normalization according to the regions, it is possible to provide distinguishable information about difference between the local motion vector of a pulmonary disease patient to be subjected to a diagnosis and a predictive local motion vector of a normal person generated from the standard DB through the statistical modeling using bio-information of a patient.

In a method and medical imaging apparatus for determining a feature characterizing intentional breath-holding by an examination object for acquiring medical raw data with breath-holding algorithm, an algorithm, the algorithm being designed to allocate at least one feature characterizing intentional breath-holding to at least one physiological property. The algorithm includes or accesses trained artificial neural network. A physiological property of the examination object is detected during free breathing of the examination object. The feature characterizing intentional breath-holding by the examination object is determined by the computer, by executing the algorithm with the detected physiological property of the examination object, as an input to the algorithm.