A lung gas exchange device includes a front housing, at least one strap configured to affix the front housing to an anterior neck of a user, a vibration device positioned within the front housing, a wear plate configured to transfer vibration from the vibration device to the anterior neck of the user, a power source configured to provide power to the vibration device, a power control mechanism configured to allow a user to turn on and off the vibration device; and a central processing unit board connected to the power control mechanism, the power source, and the vibration device.

The present teachings relate to a device and a method for treating a subject, wherein an actuator is configured for external mechanical contact with the subject, wherein a control unit is configured to control the actuator to provide at least one burst of a primary vibration, and wherein the primary vibration has one or several frequencies, or a frequency varying, within an operative frequency range contained in a range from 5 Hz to 1000 Hz, in order for the device to generate a shear wave which propagates inside the body of the subject. In addition, the present teachings relate to use of a device of the present teachings to treat a breathing-related sleep disorder, including snoring, OSA, UARS, or OHS.

Chest compression machine systems and methods adjust the administration of patient treatment based on received physiological parameter measurements, such as a CO.sub.2 measurement. Adjustment of the administered chest compressions can include adjusting one or more chest compression parameters, such as the depth of the administered compressions, the administration of active decompressions, adjusting the height of active decompression, adjusting the rate of compressions and/or active decompressions and/or other changes to one or more properties, or characteristics, of the administered chest compressions and/or active decompressions.

A system and method for mechanical CPR can include a device for providing compressive force to various locations on a patient, and biological monitoring systems to measure the effectiveness of the various locations of compressive force in pumping blood through the patient. The system can also include providing decompressive force to increase the efficacy of blood flow.

An exoskeleton device is provided herein that includes a control unit including a controller. At least one embedded sensor is configured to acquire data. An actuator is in electrical communication with the at least one embedded sensor and the controller. The controller is configured to adjust a level of assistance or resistance provided by the actuator in response to a change in a performance metric as measured by the acquired data.

Systems and methods for providing resuscitative chest compressions to a chest of a patient are described. One exemplary system may include a chest compressor for administering chest compressions to the patient, one or more sensors for measuring and generating electrocardiogram (ECG) signals of the patient's heart. The system may include at least one processor coupled to memory and configured to receive and analyze the signals corresponding to the ECG, determine an intrinsic heart rate, identify at least one ECG waveform within the ECG signals, select a chest compression protocol from at least three or at least four predetermined chest compression protocols for administration to the patient based at least in part on the intrinsic heart rate of the patient, and control the chest compressor based on the selected chest compression protocol.

The invention relates to a respiratory assistance apparatus for delivering a respiratory gas, such as air, to a patient during cardiopulmonary resuscitation (CPR), having a source (1) of respiratory gas, means (4) for measuring the CO.sub.2 content, and signal-processing and control means (5). The signal-processing and control means (5) are configured to process the CO.sub.2 content measurement signals corresponding to measurements performed by the CO.sub.2 content measurement means (4) during a given period of time (dt), and to calculate at least one mean CO.sub.2 content value (Vmean) from the maximum CO.sub.2 content values (Vmax) obtained over the time window (Ft), and to transmit said at least one mean CO.sub.2 content value (Vmean) to the graphical user interface (7) which displays it.

An exoskeleton device is provided herein that includes a control unit having at least one actuator. A transmission assembly operably couples the control unit to a hinged assembly. A sensor is coupled to the hinged assembly and is configured to acquire data in reference to use of the hinged assembly. The exoskeleton device also includes a feedback modality. A controller is in communication with the sensor and feedback modality. The controller is configured to activate the feedback modality based on a measured performance metric that is determined from the acquired data.

A portable head up CPR device includes an automated mechanical chest compression-decompression device, a support structure configured to elevate a head and thorax of an individual in a controlled manner, a wireless network interface, and a signaling interface. The device may include at least one processor and a memory. The memory may have instructions thereon that, when executed by the at least one processor, cause the at least one processor to: receive a signal from an EMS dispatch system via the wireless network interface, the signal comprising a location of the individual in distress and generate an alert via the signaling interface. The alert may be selected from a group including an electronic alert, an auditory alert, and a visual alert. The alert may include instructions to move the portable head up CPR device to the location of the individual in response to receiving the signal.

A portable medical device having improved ECG trace display and reporting. Embodiments implement features to ameliorate artifacts created by virtue of attempting to eliminate compression artifacts due to mechanical compression devices. Other embodiments additionally implement features to seek to detect the occurrence of ROSC while chest compressions are ongoing.