In an embodiment, a wearable device for vibratory stimulation is presented. The wearable device includes a sensor configured to receive data and generate sensor output. The wearable device includes a processor in communication with the sensor and a memory communicatively connected to the processor. The memory includes instructions configuring the processor to receive the sensor output from the sensor. The processor is configured to determine a symptom of a movement disorder of a user based on the sensor output. The processor is configured to calculate a waveform output based on the symptom of the movement disorder. The processor is configured to command a transducer in communication with the processor to apply the waveform output to the user to reduce the symptom of the movement disorder.

A computer-implemented method for quantitatively determining a clinical parameter indicative of a status or progression of a disease comprises the steps of: providing a distal motor test to a user of a mobile device, the mobile device having a touchscreen display, wherein providing the distal motor test to the user of the mobile device comprises: causing the touchscreen display of the mobile device to display an image comprising: a reference start point, a reference end point, and indication of a reference path to be traced between the start point and the end point; receiving an input from the touchscreen display of the mobile device, the input indicative of a test path traced by a user attempting to trace the reference path on the display of the mobile device, the test path comprising: a test start point, a test end point, and a test path traced between the test start point and the test end point; and extracting digital biomarker feature data from the received input, the digital biomarker feature data comprising: a deviation between the test end point and the reference end point; a deviation between the test start point and the reference start point; and/or a deviation between the test start point and the reference end point; and wherein: the extracted digital biomarker feature data is the clinical parameter; or the method further comprises calculating the clinical parameter from the extracted biomarker feature data.

A system and method for targeted treatment of human brain function using a combination of physical and mental activity to cause neurogenesis and neuroplasticity in targeted regions of the brain using computer-enhanced dual-task analysis and treatment. The system and method involve having a subject engage in physical and mental activities at levels of intensity or stress associated with increased neurogenesis and neuroplasticity, the mental activities being associated with certain brain regions intended to be targeted by the treatment, wherein the physical and mental activities are assigned based on dual-task analyses of the subject's brain function and machine learning algorithms trained to optimize the stress levels associated with the physical and mental activities to maximize neurogenesis and neuroplasticity. The physical and mental activities may be continuously adjusted to ensure that the subject remains in appropriate ranges for neurogenesis and neuroplasticity for the brain region or regions being targeted for treatment.

Disclosed herein are anti-RGMa antibodies and methods of using these antibodies to treat multiple sclerosis, including relapsing forms of multiple sclerosis such as relapsing-remitting multiple sclerosis or relapsing-secondary progressive multiple sclerosis.

A patient controls the delivery of therapy through volitional inputs that are detected by a biosignal within the brain. The volitional patient input may be directed towards performing a specific physical or mental activity, such as moving a muscle or performing a mathematical calculation. In one embodiment, a biosignal detection module monitors an electroencephalogram (EEG) signal from within the brain of the patient and determines whether the EEG signal includes the biosignal. In one embodiment, the biosignal detection module analyzes one or more frequency components of the EEG signal. In this manner, the patient may adjust therapy delivery by providing a volitional input that is detected by brain signals, wherein the volitional input may not require the interaction with another device, thereby eliminating the need for an external programmer to adjust therapy delivery. Example therapies include electrical stimulation, drug delivery, and delivery of sensory cues.

Methods, apparatuses, computer program products, devices and systems are described that carry out obtaining user-health data; selecting at least one user-health test function at least partly based on the user-health data; and applying the at least one user-health test function to at least one interaction between at least one user and at least one device-implemented application whose primary function is different from symptom detection.

Provided herein is the design and synthesis of novel molecular rotor fluorophores useful for detection of amyloid or amyloid like proteins. The fluorophores are designed to exhibit enhanced fluorescence emission upon associating with amyloid or amyloid like proteins as compared to unbound compound. Also disclosed herein are methods for treating diseases associated with amyloid or amyloid like proteins.

A system and method for stabilizing a position of an object are disclosed. The system comprises a housing that includes a subsystem. The system also includes an attachment arm coupled to the housing. At least one first sensor is placed along the attachment arm, wherein the attachment arm is configured to receive the object thereto. In response to an unintentional muscle movement by a user that adversely affects the motion of the object, the subsystem stabilizes the position of the object. The method comprises providing a subsystem within a housing and coupling an attachment arm to the housing. The method also includes placing at least one first sensor along the attachment arm, wherein the attachment arm is configured to receive the object thereto. In response to an unintentional muscle movement by a user that adversely affects the motion of the object, the subsystem stabilizes the position of the object.

A neural event process, including receiving a neural response signal, decomposing the signal using at least one wavelet, differentiating phase data of the wavelets and the response signal to determine maxima and minima of the phase data and the signal, and processing the maxima and minima to determine peaks representing neural events.

Described are methods, devices, and systems for a novel, inexpensive, easy to use therapy for treatment of coma, post-traumatic stress disorder, Parkinson's disease, cognitive performance, and/or amblyopia. Described are methods and devices to treat coma, post-traumatic stress disorder, Parkinson's disease, cognitive performance, and/or amblyopia that involves no medication. Methods and devices described herein use alternating magnetic fields to gently tune the brain and affect symptoms of coma, post-traumatic stress disorder, Parkinson's disease, cognitive performance, and/or amblyopia.