The present disclosure relates to systems and methods for positioning a subject. The method may include generating a first image of the subject disposed on a scanning board of an imaging device. The first image may include position information of the subject. The method may further include generating a second image of the subject which includes information associated with one or more organs of the subjects. Additionally, the method may include determining the position of a ROI based on the first image and the second image. The method may further include operating the imaging device to scan a target portion of the subject.

A system and method for sleep environment management is provided. The sleep environment comprises a bed within a sleep space, sleep metric sensors, activity metric sensors, and a sleep environment controller. A server comprises a hardware processor, has access to a database, and comprises a non-transitory, computer-readable storage medium for storing program code, comprising program code to receive at least one sleep metric and at least one activity metric from the sleep environment; record the metrics in the database; analyze the metrics over a period of time to generate a user report and one or more product recommendations; and provide the user report and product recommendations to the sleep environment controller as feedback. Such sleep environment management system and method can improve a user's sleep experience, and allows medical and product presentations to be made to the user.

A method for monitoring a recumbent patient to obtain information on a body position of the patient comprises the steps of emitting electromagnetic waves by a sender (11) arranged in a distance from the patient, receiving electromagnetic waves reflected by the patient by a receiver (12, 13, 14) arranged in a distance from the patient, determining a movement activity level from an amplitude and/or phase of the received electromagnetic waves, classifying the activity level into at least one high activity level class and into at least one low activity level class and analyzing the amplitude and/or phase of the received electromagnetic waves relating to an activity level classified in the at least one low activity level class to obtain the information on the body position of the patient.

A biomagnetic measurement system includes a magnetism measurement apparatus configured to measure a magnetism of a target; and an electrical stimulation apparatus configured to apply a stimulation current to the target. The magnetism measurement apparatus includes a confirming unit configured to confirm a magnitude of an artifact caused by the stimulation current. The electrical stimulation apparatus is configured to output a compensation current for reducing the artifact after the stimulation current is output, based on information from the confirming unit.

Methods, devices, and systems for contactless cough detection and attribution are presented herein. Audio data may be received using a microphone. A cough may be identified as having occurred based on the received audio data. Radar data may be received indicative of reflected radio waves from a radar sensor. A state analysis process may be performed using the received radar data. The detected cough may be attributed to a particular user based at least in part on the state analysis process performed using the radar data.

A method, comprising providing playback of one or more sets of three dimensional positional data of a subject performing an activity; detecting input from an editor respective to the playback of the one or more sets of three dimensional positional data; and storing parameters of the activity based on the detected input in an activity profile for use in movement based instruction.

This disclosure is directed towards a patient management system for anticipating patient needs associated with toileting. In some examples, a computing device of the patient management system determines a toilet need schedule for a patient based on conditions of the patient (e.g., from an electronic medical record of the patient) and/or events that occur associated with the patient, such as meals or beverages consumed, toileting events, medications taken, and so forth. Additionally, the patient management system may sense when a patient is moving towards a patient relief device, when the patient is using the patient relief device, and/or when the patient has concluded using the patient relief device. Such information may be provided to a healthcare provider so that the healthcare provider may assist with toileting needs to increase safety of the patient and/or to reduce accidents associated with toileting needs of the patient.

The system provides a method and apparatus for patient monitoring. In one embodiment, the system comprises beacons located in the patient environment. The beacons may be part of the Medical Internet of Things (MIOT). The patient has a medical wearable that includes fall detection and non-clinical medical monitoring within a geo-fencing perimeter to assure patient safety. The caregivers wear monitoring badges that identify the location, proximity, time management and resources spent for a patient. A central hub base station in the home coordinates and collects the information from the beacons, badges, and medical wearable to deliver information (e.g., via the cloud) for the management of the patient and the caregiver.

Monitoring patient vital signs is performed by analyzing videos recorded of a patient. An algorithm is used to compute the real-time patient vital signs based on video images of the patient. These images can be captured by a video monitoring device positioned over a patient's bed. The video monitoring device can include a thermal camera and a near infrared camera that continuously send video images to a processing unit. The thermal image is used to locate the patient's face and chest. The images are analyzed with an algorithm employed to determine a patient's heart rate, respiration rate, temperature, and body position.

A nursing bed system includes a nursing bed and a nursing bed posture changing device. The nursing bed posture changing device includes care recipient data acquiring circuitry that acquires care recipient data containing at least one of voice data of a care recipient who lies on the nursing bed, and image data obtained by imaging the care recipient, bed posture information generating circuitry that generates bed posture mode information according to a demand by the care recipient based on the care recipient data, and posture changing circuitry that changes the posture of the nursing bed based on the bed posture mode information.