The present disclosure provides systems and methods that leverage neural networks for high resolution image segmentation. A computing system can include a processor, a machine-learned image segmentation model comprising a semantic segmentation neural network and an edge refinement neural network, and at least one tangible, non-transitory computer readable medium that stores instructions that cause the processor to perform operations. The operations can include obtaining an image, inputting the image into the semantic segmentation neural network, receiving, as an output of the semantic segmentation neural network, a semantic segmentation mask, inputting at least a portion of the image and at least a portion of the semantic segmentation mask into the edge refinement neural network, and receiving, as an output of the edge refinement neural network, the refined semantic segmentation mask.

A head mounted display (HMD) device including a display configured to display an image; a communication processor configured to communicate with a massage chair for performing a massage; and a controller configured to receive massage information from the massage chair about the massage, and display an image on the display corresponding to the massage based on the received massage information.

A multifunctional entertainment, physiotherapy and health-care device based on a cloud platform and a bus structure. The device comprises a cloud platform, a mobile control terminal, a device body, and an industrial control host disposed on the device body, wherein several entertainment and health-care assemblies which are of a bus-type structure and are connected to the industrial control host are also disposed on the device body, and the cloud platform and a control APP on the mobile control terminal control the entertainment and health-care assemblies by means of the industrial control host. In the present invention, the entertainment and health-care assemblies of the plug-and-play bus-type structure are disposed on the device body, and are controlled by means of the control APP on the mobile control terminal, so as to provide people with a variety of entertainment and health-care functions.

An example system includes a first wearable computing device, and at least one additional wearable computing device. The first wearable computing device is configured to retrieve information regarding a series of tasks to be performed in treating a patient in cardiopulmonary arrest. The information includes, for each task, an indication of a user to perform the task, an indication of a time point to perform the task. The first wearable computing device is further configured identify one or more subsets of the information, and transmit each subset to a different corresponding one of the additional wearable computing devices. Each additional wearable computing device is configured to receive, from the first wearable computing device, at least one of the one or more subsets of the information, and output, for each task within a received subset, a corresponding prompt to perform the task at the respective time point associated with the task.

A respiratory device of negative pressure type comprising a shell fastened to the user's chest and/or abdomen with minimal dead space, one or more vacuum and compressed air chambers attached to the shell; vacuum generating and compressed air generating sources connected to the vacuum and compressed air chambers respectively, one or more openings on the shell to allow exchange of the air enclosed between shell and user's body, with the vacuum and compressed air chambers; a valve shuttling between the vacuum and compressed air chambers. By having low dead space, pre-generated vacuum and compressed air close to the user, and the use of fast acting valves in some embodiments, the power requirement, weight, and size are reduced, making the device low cost and portable. In some embodiments, the vacuum and compressed air generating sources can be mounted on the shell itself, making the device ambulatory.

A system for monitoring performance of a resuscitation activity on a patient by an acute care provider is provided. The system includes: a first wearable sensor configured to sense movement of a first portion of an acute care provider's hand; a second wearable sensor configured to sense movement of a second portion of the acute care provider's hand; and a controller. The controller is configured to: receive and process signals representative of performance of a resuscitation activity from the first sensor and the second sensor; identify from the processed signals information indicative of at least one of a relative distance, a relative orientation, a change in relative distance and a change in relative orientation between the first sensor and the second sensor during performance of the resuscitation activity; and determine at least one resuscitation activity parameter based, at least in part, on the identified information.

A a system includes a first computing device and a chest compression device. The chest compression device is configured to communicate with the first computing device. The chest compression device can include a defibrillator. The first computing device is configured to obtain information regarding a patient being treated for cardiopulmonary arrest and to send commands to the chest compression device. The commands include a defibrillator activation command to activate the defibrillator.

A system for assisting a user in performing chest compressions includes: at least one input device for providing information representative of a plurality of physical features of a patient; at least one chest compression sensor; a feedback device for providing chest compression feedback for the user; and at least one processor. The at least one processor is configured to: receive and process the information representative of the plurality of physical features of the patient to determine a target chest compression criterion for the patient, receive and process the signals indicative of the chest compressions from the at least one chest compression sensor to calculate at least one chest compression parameter, determine whether the at least one chest compression parameter meets the target chest compression criterion, and cause the feedback device to provide an indication for the user of whether the chest compression parameter meets the target criterion.

A system for monitoring performance of a resuscitation activity on a patient by an acute care provider is provided. The system includes: a first wearable sensor configured to sense movement of a first portion of an acute care provider's hand; a second wearable sensor configured to sense movement of a second portion of the acute care provider's hand; and a controller. The controller is configured to: receive and process signals representative of performance of a resuscitation activity from the first sensor and the second sensor; identify from the processed signals information indicative of at least one of a relative distance, a relative orientation, a change in relative distance and a change in relative orientation between the first sensor and the second sensor during performance of the resuscitation activity; and determine at least one resuscitation activity parameter based, at least in part, on the identified information.

A medical system for assisting with an intubation procedure for a patient. The system comprising airflow sensors configured to obtain data indicative of airflow in the patient's airway and physiological sensors configured to obtain information regarding airflow in the patient's lungs. The system further including a monitoring device communicatively coupled to the airflow sensors and the physiological sensors. The patient monitoring device comprising at least one processor coupled to memory and configured to: provide a user interface on a display and assist the rescuer in determining proper placement of an endotracheal tube, receive the data indicative of the airflow in the patient's airway, receive the physiological information regarding the airflow in the patient's lungs, and determine whether the tube is properly placed based on the received physiological information, and present an output of the determination of whether the ET tube was properly placed.