This disclosure relates generally to a Parkinson's disease detection system. Parkinson's disease is a neuro-degenerative disorder affecting motor and cognitive functions of subjects. Since symptom manifestation is limited in Parkinson's disease, identifying Parkinson's disease in the early stage is a challenging task. The present disclosure overcomes the limitations of the conventional methods for detecting Parkinson's disease by utilizing a graph theory approach. Here, each pressure sensor attached to an insole corresponding to a plurality of pressure points associated with a foot of the subject is considered as a node of a connectivity graph. The foot dynamics analysis is performed based on a metric known as mediolateral stability index and the mediolateral stability index is calculated by utilizing a betweenness centrality associated with each node of the connectivity graph. Further, the mediolateral stability index is compared with standard values to detect the intensity of the Parkinson's disease.

Embodiments herein relate to devices and related systems and methods for motion sickness prevention and mitigation. In an embodiment, a method of preventing or mitigating motion sickness in a subject is included, the method tracking motion of the subject using a first motion sensor; estimating a vestibular system input based on tracked motion of the subject; tracking head position of the subject using the first motion sensor; estimating a visual system input based on tracked head position of the subject; estimating consistency between the vestibular system input and the visual system input; and initiating a responsive measure if the estimated consistency crosses a threshold value. Other embodiments are also included herein.

The invention relates to a device for training coordinative faculties. The device has at least one movable standing plate; at least one static base plate; at least two connecting elements, the height of which can be modified and which act between the at least one movable standing plate and the at least one static base plate, a user interface; and a control element. The device is designed to specify a sequence of various setpoint positions of the centre of gravity of a user standing on the at least one movable standing plate, each of the setpoint positions being specified for a determined duration, and to continuously measure the actual position of the centre of gravity of the person standing on the moving plate. The device is further designed to compare each measured actual position to the setpoint position specified at the time of the measurement, to generate control signals taking into consideration the measured actual positions and/or the results of the comparisons of actual positions and setpoint positions, and to control the at least two connecting elements with the control signals.

A portable system for vestibular testing and/or training of a user is disclosed herein. The system includes a user input device, the user input device configured to output a signal based upon an input response by the user; a motion sensing device, the motion sensing device configured to measure a velocity or speed of a head of the user; a visual display device, the visual display device configured to display one or more visual objects so that the one or more visual objects are visible to the user; and a data processing device operatively coupled to the user input device, the motion sensing device, and the visual display device. The data processing device is programmed to determine whether or not the user correctly identifies the one or more visual objects displayed on the visual display device based upon the signal from the user input device.

Disclosed is a system for objective self-assessment of physical capabilities and condition changes of individuals with conditions like multiple sclerosis, the system has a mobile device with an appropriate software for carrying out a set of tests for assessment of motor capabilities such as body balance, muscle strength, and muscle spasticity, and receiving assessment feedback. The system has inertial motion sensors for performing motion sensing, wherein said inertial motion sensors are integrated with said mobile device, e.g., a smartphone, a smart watch, or a personal computer, or in a separate wearable sensor device, connected with said mobile device over wired or wireless data connection. Also disclosed is a method for such self-assessment with such system.

The present disclosure provides a system including one or more sensors, a mounting system configured to removeably mount a computing device such that a camera of the computing device is positioned facing an eye of a subject, and a control system. The control system is configured to (a) receive sensor data from the one or more sensors, (b) determine whether the sensor data is indicative of balance instability of the subject, (c) track a position of the eye of the subject to assess vestibular dysfunction, (d) determine whether the camera data is indicative of vestibular dysfunction of the subject, and (e) in response to (i) the sensor data being indicative of balance instability of the subject and/or (ii) the camera data being indicative of vestibular dysfunction of the subject, display an indication of symptoms that are characteristic of a traumatic brain injury or concussion.

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

The invention provides a method and system for assessing a balance and posture of a subject by employing a virtual reality (VR)/augmented reality (AR) headgear (108). The system includes a memory (102), a processor (104) and the VR/AR headgear (108) for providing an immersive environment to the subject. The VR/AR headgear (108) includes a display (110) for providing a plurality of visual stimuli to the subject. A gyroscope (112) and an inertial measurement unit (114) detect head movements and body sway of the subject in response to the plurality of visual stimuli. An eye tracking unit (116) tracks eye movement of the subject in response to the plurality of visual stimuli. A machine learning model (118) is then used to decipher normal patterns and abnormal patterns based on measurement data from the gyroscope (112), inertial measurement unit (114), and eye tracking unit (116). A comprehensive report pertaining to the subject's posture and balance is then generated.

A system and method are provided that allow a practitioner to rotate a human subject's head in three-dimensional space using a robotic arm with a head mount attached to one end, while the subject is focused on a visual target. The robotic arm is controlled by a computer system operatively coupled to the various sensors and drive motors embedded with the robotic arm.

A system for transdermal alcohol sensing to be worn near a skin surface of a user, including: an alcohol sensor; a microporous membrane; a housing coupled to the alcohol sensor and the membrane, defining a volume between the alcohol sensor and a first membrane side, and fluidly isolating the volume from a second membrane side opposing the first membrane side; an electronics subsystem electrically coupled to the alcohol sensor, operable to power and receive signals from the alcohol sensor; and a fastener operable to position the second membrane side proximal the skin surface.