A bioelectrode including a plate, a first electrode disposed on a first side of the plate, and a second electrode disposed on the first side of the plate and separate from the first electrode. The bioelectrode further includes a first guard portion disposed on a second side of the plate, a second guard portion disposed on the second side of the plate and separate from the first guard portion, and a preamplifier configured to output a voltage signal based on a biosignal measured between the first electrode and the second electrode.

The present disclosure provides methods for identifying non-penetrating brain injury in a subject, as well as methods for classifying a subject that received a hit to the body that transmitted an impulsive force to the brain as either having a non-penetrating brain injury or not, by analyzing one or more components of frequency-following response (FFR) following administration of an acoustic stimulus to the subject. In addition, the present disclosure provides methods for assessing a subject's recovery from a non-penetrating brain injury. Also disclosed herein are processes and systems for automatically generating acoustic stimuli and processing brain response data to identify non-penetrating brain injuries in subjects.

Ambulatory monitoring of human health is provided by a multi-component multi-sensor wireless wearable biosignal acquisition system comprising a torso device and a peripheral device communicating wirelessly, and a mobile phone for receiving collected data and uploading it over cellular network or WiFi to a remote computer for multivariate analysis. Biosignals include EKG and PPG, from which a determination of pulse transit time can be made.

A system including a medical device is provided. The medical device includes at least one sensor configured to acquire first data descriptive of a patient, first memory storing a plurality of templates, and at least one processor coupled to the at least one sensor and the first memory. The at least one processor is configured to identify a first template of the plurality of templates that is similar to the first data, to determine first difference data based on the first template and the first data, and to store the first difference data in association with the first template. The system may further include the programmable device.

Embodiments of the present disclosure disclose a fall-off detection method for a wearable device and a wearable device. The method includes collecting physiological parameter information and activity information of a wearer of the wearable device; when an abnormality is detected in the physiological parameter information of the wearer of the wearable device and a time of the abnormality exceeds a preset time, determining that the wearable device falls off from the wearer; when it is determined that the wearable device falls off from the wearer, determining, according to the collected physiological parameter information and activity information of the wearer of the wearable device, a scenario mode that the wearer is in; and sending, according to the scenario mode that the wearer is in, an indication corresponding to the scenario mode.

A method and device for biomedical recording of biomedical spike signals is provided. The method includes extracting and aligning possible biomedical spike signals from received signals and, thereafter, performing spike detection by determining whether the possible biomedical spike signals are actual spike signals. The biomedical spike signals are preferably selected from electrocardiography (ECG), electroencephalography (EEG) and neural signals.

Disclosed herein is a system that uses an eye tracker for diagnosing and facilitating rehabilitation therapy of a patient suffering from disability. The system creates a human machine interface (HMI) that integrates various low cost biosensors and artificial sensors for conducting rehabilitation therapy. The system combines spinal and supra-spinal feedback of the patient with the operant conditioning to facilitate visuomotor balance therapy (VBT), thereby reducing fall risk in disability survivors. The operant conditioning setup for shaping of visuomotor learning to bring about new behavior or to modify a certain aspect of an existing behavior is used for rehabilitation therapy that includes a behaviour response apparatus, a reward delivery module, a stimulus delivery system, and a behaviour control system. The system can also be extended to the patient's home for providing telerehabilitation therapy.

The present disclose generally relates to a multichannel low-noise amplifier. At each input to the multichannel low-noise amplifiers, a plurality of transistors can be connected in parallel. This parallel connection decreases the voltage noise beyond what is possible using a single input transistor at each input. As an additional benefit, the initial operating region of the input transistors is not changed. The multichannel low-noise amplifier can be incorporated on a single integrated circuit chip to amplify biological signals to facilitate selective recording of a property (e.g., amplifying neural signals to facilitate selective recording of neural activity).

A method and system for treating schizophrenia and other forms of mental illness, including: given a brain comprising neurons coupled by an axon including an inner core and an outer myelin sheath, and given one or more defects in the outer myelin sheath, repairing the one or more defects in the outer myelin sheath with one or more of a protein and a lipid such that the outer myelin sheath has a substantially constant electrical impedance for the transmission of data energy between the neurons and such that data energy is not undesirably reflected from the direction of a receiving neuron in the direction of a transmitting neuron within the axon.

A magnetic field measurement apparatus includes a plurality of magnetic sensors, a calibration unit that estimates a magnetic field on the basis of detected vectors of the magnetic sensors, positional information of the magnetic sensors, and measured values of the magnetic sensors, and updates the detected vectors on the basis of the estimated magnetic field, and a magnetic field calculation unit that calculates a magnetic field to be measured on the basis of the measured values of the magnetic sensors and the detected vectors updated by the calibration unit.