A system includes a wearable sensor device including an accelerometer configured to be worn by a person and to record sensor data during an activity performed by the person; an analysis element configured to receive the sensor data from the wearable sensor, determine sensor orientation data of the wearable sensor during the activity based on the sensor data, translate the sensor orientation data of the wearable sensor to person orientation data of the person during the activity, determine, for the person during the activity, (a) a lift rate, (b) a maximum sagittal flexion, (c) an average twist velocity, (d) a maximum moment, and (e) a maximum lateral velocity, and determine a score representative of an injury risk to the person during the activity based on such data; and a tangible feedback element configured to provide at least one tangible feedback based on the score so as to reduce the injury risk.

While head-mountable devices can provide immersive experiences, a user wearing a head-mountable device can also benefit from activities that include body motion and promote the user's health. Because such activities may not be intrinsically necessary to the operation of head-mountable devices, it can be beneficial to provide additional or modified operations that allow a user to continue operation of a head-mountable device while performing the desired body motions. The head-mountable device can detect movement and/or stasis of the user and determine whether motion would be recommended. Upon determining that motion, an additional motion, or a different motion would be beneficial, the head-mountable device can provide an output to the user that promote such motions. The output can include a notification to the user and/or a modification of the user interface that encourages the user to move in a particular way.

The present specification discloses systems and methods of patient monitoring in which multiple sensors are used to detect physiological parameters and the data from those sensors are correlated to determine if an alarm should, or should not, be issued, thereby resulting in more precise alarms and fewer false alarms. Electrocardiogram readings can be combined with invasive blood pressure, non-invasive blood pressure, and/or pulse oximetry measurements to provide a more accurate picture of pulse activity and patient respiration. In addition, the monitoring system can also use an accelerometer or heart valve auscultation to further improve accuracy.

Apparatus and methods related to an underbody support for supporting a body of a being, such as during surgery to prevent contact pressure injuries. In certain embodiments, the underbody support may include one or more inflatable chambers enclosing a volume. At least one of the inflatable chambers may include one or more compression sensitive switches for monitoring the volume of the inflatable chamber, and the one or more compression sensitive switches may be located within the inflatable chamber. In some embodiments the one or more compression sensitive switches are sized to close when the said inflatable chamber is deflated to a desired residual volume.

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.

An integrated triad system to measure a patient's blood pressure at different body positions, to instruct the patient when to move from one position to the next to alleviate vascular hypertension based on an algorithm stored in the system calculating blood pressure changes and predictive risk, and to transmit the result to a remote medical location. Using the integrated triad system to perform the test over a period can increase test sensitivity by accommodating the variable onset of the disease.

A computer implemented method for facilitating training of body-eye coordination using a computing device having access to a camera is disclosed. The method includes receiving a training video of a player from the camera; superimposing a visual cue onto the training video; extracting a body posture flow of the player from the training video by performing a computer vision algorithm on one or more frames of the training video; determining whether the player has responded to the visual cue by analyzing the body posture flow of the player; and generating a feedback to the player in response to determining that the player has responded to the visual cue. Multi-player embodiments of the present invention are also disclosed.

A human motion assistance device has upper back straps and is configured to attach to a user. A leg strap arrangement with lower back straps is configured to attach to the user. A differential assembly is connected between the upper back straps and lower back straps to reduce resistance of the upper torso harness and leg strap arrangement during gait. When crouching or lifting, the differential assembly transfers force to stretch and retract the upper torso harness and leg strap arrangement, which provides human motion assistance. The differential assembly can be implements as an x-bar, lever arm, pulley, gears, or tube. The leg strap arrangement has a knee pad adapted to cover a knee of the user. The knee pad opens along a segment. The upper torso harness has a shoulder strap and buckle. The leg strap arrangement is an elastic material.

For training for and performance of patient modeling from surface data in a medical system, a progressive multi-task model is used. Different tasks for scanning are provided, such as landmark estimation and patient pose estimation. One or more features learned for one task are used as fixed or constant features in the other task. This progressive approach based on shared features increases efficiency while avoiding reductions in accuracy for any given task.

The invention provides a body-worn system that continuously measures pulse oximetry and blood pressure, along with motion, posture, and activity level, from an ambulatory patient. The system features an oximetry probe that comfortably clips to the base of the patient's thumb, thereby freeing up their fingers for conventional activities in a hospital, such as reading and eating. The probe secures to the thumb and measures time-dependent signals corresponding to LEDs operating near 660 and 905 nm. Analog versions of these signals pass through a low-profile cable to a wrist-worn transceiver that encloses a processing unit. Also within the wrist-worn transceiver is an accelerometer, a wireless system that sends information through a network to a remote receiver, e.g. a computer located in a central nursing station.