A mental impairment detection system and non-invasive method of detecting mental impairment of a user are provided. A test (e.g., an inhibitory reflex test or a sustained attention test) is administered to the user, brain activity in a frontal lobe of the user is non-invasively detected while the test is administered to the user, and a level of mental impairment of the user is determined based on the brain activity detected in the frontal lobe of the user.

A method and system for monitoring impairment indicators. The method comprises, during a first time window, measuring a first movement signal related to movement of a person with a movement sensor associated with the person, and measuring a first environmental signal with an environmental sensor. The method further comprises electronically storing at least one numerical descriptor derived from the first movement signal and the first environmental signal as reference data for the person. The method further includes, during a second time window, measuring a second movement signal related to movement of the person with the movement sensor and measuring a second environmental signal with the environmental sensor; and comparing at least one numerical descriptor derived from the second movement signal and the second environmental signal to the reference data to identify an impairment indicator.

A gravity perception function inspection apparatus based on virtual/augmented reality and multiple bio-signal sensors, includes a head-wearable display device worn on an examinee's head and reproducing an inspection screen in which a target object is displayed in a center of the inspection screen, the bio-signal measuring device including an eye tracker that detects a pupil size of an examinee and a posture measuring device that infers a posture value of the examinee by using a plurality of inertial measurement sensors dispersedly arranged on a body of the examinee and obtains and outputs a position control value corresponding to the posture value of the examinee, a human interface device that obtains and outputs a position control value manually input by the examinee, and a control device that generates and provides the inspection screen.

Systems, methods, and computer program products are provided for determining one or more biomarker and/or health condition of a target patient. In various embodiments, a method is provided where a plurality of health data of the target patient and/or a plurality of first order features determined from the plurality of health data of the target patient are received as input to a pre-trained artificial neural network. The plurality of health data is derived from a plurality of modalities. A plurality of latent variables based on the plurality of health data and plurality of first order features are received from an intermediate layer of the pre-trained artificial neural network. The plurality of latent variables are provided to a pre-trained learning system. The pre-trained learning system is trained to receive as input the plurality of latent variables and output one or more biomarker and/or health condition of the target patient.

A wireless system comprising a first wireless device and a second wireless device. The first wireless device is configured to operate with less than 15 milliamperes of current. The second wireless device has an internal power source and is configured to transmit one or more radio frequency signals to the first wireless device. The first wireless device is configured to receive the one or more radio frequency signals from the second wireless device. The first wireless device is configured to harvest energy from the one or more radio frequency signals. The first wireless device is enabled for operation after a predetermined amount of energy is harvested from the one or more radio frequency signals. A communication handshake occurs between the first and second wireless devices to indicate that the first wireless device is in communication with the second wireless device. The first wireless device is configured to perform at least one task from harvested energy.

In an approach to smart joint monitoring for bleeding disorder patients, one or more sets of data are received from a smart joint monitor, where the smart joint monitor includes one or more sensors. One or more criticalities are detected, where the one or more criticalities are detected by an artificial intelligence engine based on the one or more sets of data and a global knowledge base. One or more suggestions are determined, where the one or more suggestions are determined by the artificial intelligence engine based on the one or more criticalities and the global knowledge base.

The present invention includes: a center of gravity measurement unit 10 configured to measure a change in a center of gravity position of a standing posture of a user; a tactile stimulation signal generation unit 20 configured to, in a case where the center of gravity position deviates from a predetermined range, generate a tactile stimulation signal for applying tactile stimulation to the user; and a tactile stimulation presentation unit 30 configured to convert the tactile stimulation signal into tactile stimulation and present the tactile stimulation to a sole of a foot of the user.

In one embodiment, one or more suspension systems of a vehicle may be used to mitigate motion sickness by limiting motion in one or more frequency ranges. In another embodiment, an active suspension may be integrated with an autonomous vehicle architecture. In yet another embodiment, the active suspension system of a vehicle may be used to induce motion in a vehicle. The vehicle may be used as a testbed for technical investigations and/or as a platform to enhance the enjoyment of video and/or audio by vehicle occupants. In some embodiments, the active suspensions system may be used to perform gestures as a means of communication with persons inside or outside the vehicle. In some embodiments, the active suspensions system may be used to generate haptic warnings to a vehicle operator or other persons in response to certain road situations.

A force measurement system and a motion base used therein is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject, a motion base for displacing the force measurement assembly, and one or more data processing devices operatively coupled to the force measurement assembly and an actuation system of the motion base. The motion base includes a support structure; a displaceable carriage coupled to the force measurement assembly; and an actuation system, the actuation system including one or more actuators operatively coupling the displaceable carriage to the support structure, the one or more actuators configured to displace the displaceable carriage with the force measurement assembly relative to the support structure, the displaceable carriage being suspended below a portion of the support structure.

Systems and methods for monitoring movement capabilities using clinical mobility based assessments of a user are provided herein. In embodiments, methods include: providing, using a mobile device comprising an inertial measurement device, a clinical mobility based assessment to a user; and generating, using the inertial measurement device, inertial data of the user that is indicative of movement capabilities of the user based on the clinical mobility based assessment. Embodiments include logging the inertial data of the user locally to the mobile device resulting in locally logged inertial data of the user; processing in real-time the locally logged inertial data of the user to determine position and orientation of the mobile device during the clinical mobility based assessment; and determining, using the position and the orientation of the mobile device during the clinical mobility based assessment, a physical movement assessment of the user associated with the clinical mobility based assessment.