A system and method dispense medication through a smart pill that holds at least one medication and a mobile device capable of communicating wirelessly with the smart pill. The mobile device includes a user interface for communicating with a patient and at least one application program that includes program instructions for measuring an aspect of a patient's physiology. A processor on the mobile device is configured to execute a program for monitoring and communicating with the smart pill, causing at least one of the applications to execute and test the patient, and on the basis of the outcome of the testing, issue a signal for timing and amount of medication release from the smart pill to the patient. The application programs may include a cognitive test, an eye test, a balance test, and a reaction test which may use the display, camera, speaker and microphone of the mobile device.

Systems and methods for monitoring heart failure (HF) status in a patient are discussed. An exemplary system includes a gait analyzer circuit than can receive gait or balance information, and generate a gait feature such as gait speed or a gait pattern. The system includes a HF detector circuit that can detect patient HF status, or to predict patient risk of a future worsening heart failure (WHF) event, using the gait feature. In some examples, the system may trigger sensing physiologic information according to the detected gait, and detect patient HF status using the sensed physiologic information. The system can initiate or adjust a heart failure therapy according to the HF status or the WHF risk.

A biological information processing device includes a controller programmed to obtain biological information indicating a body condition, and associate different kinds of the biological information with respective specific graphical elements. Each of the respective specific graphical elements constitute a respective specific appearance of a graphical figure, with one of the respective specific graphical elements representing a surface count of a polyhedron which changes in relation to a numerical change in the biological information. The controller is further programmed to set value to the specific graphical element depending on degree of the biological information for at least one specific graphical element associated with the biological information obtained, and generate indicating data of a biological figure on the basis of the value set, the biological figure being an aggregate of the specific graphical elements.

A virtual or augmented reality based tracking system for assessment of postural sway is provided. In various embodiments, positional data are collected from a user from a headset and/or one or more hand sensors. The positional data is processed to determine the center of mass of the user. In determining of the center of mass, positional data may be given a higher or lower weight compared to other positional data. A virtual reality environment is presented to the user through the headset and may be altered to simulate unbalancing of the user. The raw position data and center of mass are sent to a remote server. A report of user sway is generated from the center of mass. Nausea reduction may be implemented by narrowing a field of vision of the user.

A feedback device for measuring balance related information, and for producing a stimulation of the skin that encodes that information in a way that is useful to the wearer of the device. At least one sensor detects balance information and transmits at least one balance information signal to a signal processing subsystem. The signal processing subsystem converts the received balance information signal into at least one stimulation control signal. The signal processing subsystem then transmits the stimulation control signal to at least one stimulator, which provides stimulation to a wearer of the device reflecting the stimulation control signal received from the signal processing subsystem.

Systems and methods facilitating objective evaluations of subjects to facilitate detecting clinically relevant changes in balance are provided. The system includes a portable balance board with a sensor in each of four feet for detecting downward force. Each sensor is communicatively coupled to a circuit board with a wired or wireless communication capability. A subject stands on the balance board and each sensor sends a signal to the circuit board, which communicates the four signals to a companion device that uses the signals to calculate the center of pressure (COP) of the subject over time. The subject can perform the BESS test and the resulting COP data is used to calculate a field path length for the subject. The field path length is compared to a previously determined baseline path length for the subject to detect any clinically relevant change in balance of the subject.

A computer-implemented method according to one embodiment includes performing a survey of a survey area of a surface in an intended direction of travel of a user, determining whether an obstacle is present in the survey area of the surface within a predetermined distance of the user, and in response to determining that a detected obstacle is present in the survey area of the surface within the predetermined distance of the user, performing a process until it is determined that the obstacle is not present in the survey area of the surface within the predetermined distance of the user. The process includes determining a corrective sensory stimulation for offsetting balance of the user in a direction away from the obstacle, and outputting the corrective sensory stimulation to a sensory user device.

This disclosure relates to a system and method to implement a performance test to help evaluate a patient's neurological and cognitive function. The performance test can be executed by the patient autonomously using a portable computing device, such as a tablet computer or smart phone. The portable computing device can be programmed to execute a set of modules configured to assess motor and cognitive performance, such as a manual function test module, a cognitive processing speed test module, and a movement assessment test module. The set of modules can also include a collection module to aggregate test data from the manual function test module, the cognitive processing speed test module, and the movement assessment test module.

A person's fall risk may be determined based on machine learning algorithms. The fall risk information can be used to notify the person and/or a third party monitoring person (e.g. doctor, physical therapist, personal trainer, etc.) of the person's fall risk. This information may be used to monitor and track changes in fall risk that may be impacted by changes in health status, lifestyle behaviors or medical treatment. Furthermore, the fall risk classification may help individuals be more careful on the days they are more at risk for falling. The fall risk may be estimated using machine learning algorithms that process data from load sensors by computing basic and advanced punctuated equilibrium model (PEM) stability metrics.

A feedback device for measuring pressure related information, and for providing that information in a way that is useful to the wearer of the device. At least one sensor detects pressure information and transmits at least one pressure information signal to a signal processing subsystem. The signal processing subsystem converts the received pressure information signal into at least one stimulation control signal. The signal processing subsystem then transmits the stimulation control signal to at least one stimulator, which provides stimulation to a wearer of the device reflecting the stimulation control signal received from the signal processing subsystem.