Methods and electronic devices for measuring motion and acoustic signatures of physiological processes of a human subject. The method includes measuring motion and acoustic signatures of physiological processes of a human subject; sending the first feature-related data to a machine learning service; sending the first feature-related data to a machine learning service; and determining a predicted detection of human scratching activity by the machine-learning service by performing a machine-learning operation on the feature-related data.

The present invention relates to methods for remotely and intelligently tuning movement disorder of therapy systems. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of remotely and intelligently or automatically tuning a therapy device using objective quantified movement disorder symptom data and/or brain activity mapped data to determine the therapy setting or parameters to be transmitted and provided to the subject via his or her therapy device. The present invention also provides treatment and tuning intelligently, automatically and remotely, allowing for home monitoring of subjects.

Systems and methods are provided for measuring and identifying real-world tremors in order to calculate and display an anti-tremor in a virtual reality world. A system may identify a tremor in a body part, such as hands, and measure the tremor movement from, e.g., body sensors, to calculate an opposite movement and animate virtual hands performing the reverse tremor motion. Depicting inverse motions, such as an anti-tremor, may be used in a few ways to therapeutically train and exercise patients to better control their tremors. Providing a visual cue may help a patient interrupt the movement, as well as provide possibilities for therapy or training muscle memory and stimulating nerve and neuron recovery. By displaying an anti-tremor with virtual hands, a VR system may be used to help train or exercise body parts experiencing tremors.

A system utilizing five or less body worn sensors may be used to profile the motor function of Parkinson's disease patients, integrate the outcome with patient self-reported information and translate the results to clinically relevant information, valuable for the monitoring of Parkinson's disease progression and symptom manifestation. The hardware of the system may deploy algorithms for the offline processing of the sensors' data, once the wearable monitoring devices are docked for charging, with no intervention required by the user. The system may also allow patients to mount the wearable devices featuring the sensors to any of a limited number of body parts, without taking care to mount each monitoring device to a specific body part. Finally, the system may allow a physician to register for a subscription-based service, pairing him/her with patients using the system, and granting him/her permission to remotely review the disease progression of the patients, as calculated by the system.

A portable hand tremor detection device has been reported. This device is composed of a detection unit, a flexible pressure sensor, a signal processing unit, and a power supply. The detection unit is composed of the sensor and press-knob. The flexible pressure sensor is a combination of usually spaced apart flexible polymer preferably polydimethylsiloxane, flexible substrate preferably paper, and a conductive coating preferably reduced graphene oxide (RGO). When the users put pressure on the press-knob through the fingers, the flexible pressure sensor actuates and bends so that conductive RGO layers on the flexible substrates come in contact with each other to generate an output current. The electrical circuits in the signal processing unit are laid down in such a manner that the magnitude of this output current varies with the tremor between the fingers, which eventually converted into an electrical signal showing the variation in the hand tremor with time.

An analytical toilet comprising a bowl for receiving excreta from a user; a seat for the user; a sensor for detecting a symptom of the user; wherein the sensor transmits data to a processor that uses the data to measure a symptom of the user is disclosed. A method for monitoring a patient comprising providing an analytical toilet comprising: a bowl for receiving excreta from a user; a seat for the user; a sensor for detecting a symptom of the user; having a user use the toilet to deposit excreta; detecting a symptom of the user with the sensor; transmitting data from the sensor to a processor; and using the data to measure the symptom and compare it to the user's normal or expected symptoms is disclosed.

The exemplary embodiments disclose a system and method, a computer program product, and a computer system for assessing a user's gate. The exemplary embodiments may include collecting data corresponding to a walking user and assessing a gait of the user based on applying one or more models to the data.

Embodiments of a method and/or system for characterizing physiological metrics can include: collecting temperature data from a set of temperature sensors associated with at least one heat flux channel of a temperature monitoring device configured to couple to an exterior region of a user; extracting a perfusion parameter based on the temperature data; determining a core body temperature measurement (and/or other suitable physiological metric) based on the perfusion parameter; and/or characterizing a user condition (e.g., fever) based on the core body temperature measurement (and/or other suitable physiological metric).

The present invention relates to improvements in or relating to tremor stabilisation apparatus and methods, in particular to gyroscopic devices for use in controlling tremors of parts of the body and for reducing effects of tremors on the human body. The apparatus includes a wearable element and at least one gyroscopic device mounted or mountable to the wearable element, the gyroscopic device including a gyroscope and a gyroscope housing. The at least one gyroscopic device may be mounted within the housing such that the gyroscope may precess with respect to the housing. The mount may include a hinge to which the gyroscope is mounted and a hinge plate or hinge mount to which the hinge is mounted for rotation with respect to the gyroscope housing, such as a turntable mounted to the gyroscope housing. The gyroscopic devices may include a control arrangement to control the precession of the gyroscope.

In one example, a system for measuring body movement in a movement disorder disease is provided. The system may comprise at least one processor and a memory storing processor executable codes, which, when implemented by the at least one processor, cause the system to perform operations comprising, at least receiving a video including a sequence of images and detecting at least one object of interest in one or more of the images. Feature reference points of the at least one object of interest are located, and a virtual movement-detection framework is generated in one or more of the images. The operations may include detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework and generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point.