Systems and methods include a cellular, WiFi, and Bluetooth transceiver coupled to a processor; an accelerometer or a motion sensor coupled to the processor; and a sensor coupled to the processor to sense mood or body vital sign.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

The present invention relates to a technology for diagnosing dizziness by testing eye movement (motion), and more particularly, to a method and apparatus for diagnosing dizziness through eye movement measurement based on virtual reality capable of utilizing a commercialized virtual reality device to measure and test eye movement and transmit resultant data, measuring optokinetic nystagmus through movement of various gazing points (objects) generated in virtual reality, and diagnosing dizziness through the measurement, a recording medium storing a program for realizing the same, and a computer program stored in the recording medium.

An orthopedic system configured for pre-operative, intra-operative and post-operative assessment of a musculoskeletal system. The orthopedic system comprises a first screw, a second screw, a first device, a second device, and a computer. The first screw and the second screw are respectively coupled in a first bone and a second bone of a musculoskeletal system. The first and second screws each include electronic circuitry, one or more sensors, and an IMU. In one embodiment, a first device and a second device can be respectively located in proximity to the first and second screws. The first and second devices respectively transmit a radio frequency signal to the first and second screws. The first and second screws harvest a predetermined amount of energy and then are enabled to perform at least one task and an orderly shutdown. The computer receives measurement data from the first and second screws.

A system and method for vestibular and/or balance rehabilitation by monitoring and measuring head motion data of a user having vestibular impairment. The system as includes a user device, a head tracking device, and a remote server device. The user device receives therapeutical configuration data prescribed by a therapist using the remote server device. A visual and auditory and/or haptic stimuli is generated in the user interface according to the received therapeutic configuration data during a training session or initial assessment session. Head motion data from the head tracking device during the training session is received along with user inputted data pertaining to symptoms of the user. The remote server device receives and processes the head motion and positional data, the user inputted symptoms data and communicates a set of updated therapeutic configuration data to the user device based on the processed data for use in a next training session.

A device for motion sickness reduction. The device operates by providing haptic feedback using transducers that convert electrical signals to a tactile sensation such as pressure, vibration, electrical stimulation, temperature, or airflow. The transducers are located at different locations on the body of a user, and actively change their operation to indicate a direction of motion or rotation to the user through haptic (tactile) feedback. This tactile feedback can be used to reduce motion sickness. In an embodiment, the feedback is improved by deducting motion associated with the user's visual frame of reference from motion associated with the user's vestibular frame of reference.

Apparatuses, systems, and methods for more accurate remote monitoring of a user's body to stabilize the user during fall events and to thereby prevent the user from falling. In some embodiments, a wearable device comprising a power source, one or more sensors configured to monitor a user's COG (COG), at least one plurality of electrodes, a communications interface and a control device is provided. The wearable device is configured to apply electrical pulses according to defined electrical pulse stimulation protocols via the electrodes to target muscle groups of the user's body, causing those target muscle groups to contract and thereby stabilize the user's body during a fall event.

A medical system comprising a first medical device, a second medical device, and a computer. The first medical device is configured to be placed beneath the dermis. The first medical device comprises an enclosure comprising non-electrically conductive material. A cap couples to the enclosure and is configured to seal the enclosure. The enclosure houses electronic circuitry configured to measure one or more parameter or provide a therapy. The cap couples to the ground of the electronic circuitry. The first medical device includes a dual band antenna. A first antenna is configured to operate within a first frequency band below 1 gigahertz. The second antenna is configured to operate at a frequency above 1 gigahertz. The second medical device is configured to transmit a radio frequency signal to the first medical device. The first medical device is configured to harvest the energy received from the radio frequency signal to enable the electronic circuitry and perform at least one task.

Embodiments herein relate to ear-wearable systems and devices for detecting dehydration and related methods. In an embodiment, an ear-wearable dehydration monitoring system is included having a control circuit, a microphone, a power supply, and a sensor package, wherein the sensor package is in electrical communication with the control circuit. The ear-wearable dehydration monitoring system is configured to process signals of one or more sensors of the sensor package to detect clinical symptoms of dehydration. Other embodiments are also included herein.

In a method for determining a type of characteristic eye movement of the eyes of a patient, the patient is provided with an optokinetic stimulus for the characteristic eye movement, a medical image of the brain of a patient also including the eyes of the patient is generated. An amount of a displacement of an optic nerve of the patient may be determined based on the medical image and a type of a characteristic eye movement may be determined based on the velocity of eye movement for the determined amount of displacement of the optic nerve. In a method for training an artificial intelligence based algorithm for determining an amount of a displacement of an optic nerve of a patient, the algorithm may be trained based on at least one medical image.