The present disclosure concerns a sensor assembly for measuring displacement of a contact surface at least along a central axis of the assembly caused by pressure applied on the surface by the skin of a user during measurement of at least one biological parameter of the user.

The present disclosure concerns a sensor assembly for measuring displacement of a contact surface at least along a central axis of the assembly caused by pressure applied on the surface by the skin of a user during measurement of at least one biological parameter of the user.

The disclosure includes a biosignal monitoring system for reducing a motion artifact from a biopotential electrical signal input, including a signal processing module, a motion artifact extraction module, and a subtraction module. The motion artifact extraction module and the signal processing module receive the biopotential electrical signal input and the subtraction module receives an extracted signal from an output of the motion artifact extraction module and a biopotential electrical signal from an output of the signal processing module. The subtraction module subtracts the extracted signal from the biopotential electrical signal. The motion artifact extraction module is an analog domain electronic circuit and includes a filter network configured for attenuating differential mode signals of the biopotential electrical signal input from a first frequency, and passing the motion artifact signal from the biopotential electrical signal input up to a second frequency at the output of the motion artifact extraction module.

The disclosure includes a biosignal monitoring system for reducing a motion artifact from a biopotential electrical signal input, including a signal processing module, a motion artifact extraction module, and a subtraction module. The motion artifact extraction module and the signal processing module receive the biopotential electrical signal input and the subtraction module receives an extracted signal from an output of the motion artifact extraction module and a biopotential electrical signal from an output of the signal processing module. The subtraction module subtracts the extracted signal from the biopotential electrical signal. The motion artifact extraction module is an analog domain electronic circuit and includes a filter network configured for attenuating differential mode signals of the biopotential electrical signal input from a first frequency, and passing the motion artifact signal from the biopotential electrical signal input up to a second frequency at the output of the motion artifact extraction module.

Embodiments of the present invention (herein referred to simply as “the invention”) comprise an EEG monitoring device worn on or around a user's ears. In some embodiments of the invention, the device comprises a flexible printed circuit containing EEG sensors, skin adhesives or adhesive sensors, and a flexible extension to position the sensor adjusting the user's head size. The device may be designed so that when worn by a user, the sensors are placed at specific points on a user's head in order to accurately capture electroencephalography signals. Said specific points may be one or more points of a 10-10 EEG system. The EEG sensors may comprise or may be made of an adhesive material.

Embodiments of the present invention (herein referred to simply as “the invention”) comprise an EEG monitoring device worn on or around a user's ears. In some embodiments of the invention, the device comprises a flexible printed circuit containing EEG sensors, skin adhesives or adhesive sensors, and a flexible extension to position the sensor adjusting the user's head size. The device may be designed so that when worn by a user, the sensors are placed at specific points on a user's head in order to accurately capture electroencephalography signals. Said specific points may be one or more points of a 10-10 EEG system. The EEG sensors may comprise or may be made of an adhesive material.

The present invention discloses a method for determining a degree of response to a physical activity. Acquire a physical activity signal measured by a sensing unit in the physical activity. Determine first data of a first physical activity feature set based on the physical activity signal. Determine a recognition of the degree of response to the physical activity based on the first data of the first physical activity feature set by a mathematical model describing a relationship between the first physical activity feature set and the degree of response to a physical activity. A portion of a first mechanism of the mathematical model adopts at least one portion of a second mechanism of a first neural network model associated with the second physical activity feature set.

The present invention discloses a method for determining a degree of response to a physical activity. Acquire a physical activity signal measured by a sensing unit in the physical activity. Determine first data of a first physical activity feature set based on the physical activity signal. Determine a recognition of the degree of response to the physical activity based on the first data of the first physical activity feature set by a mathematical model describing a relationship between the first physical activity feature set and the degree of response to a physical activity. A portion of a first mechanism of the mathematical model adopts at least one portion of a second mechanism of a first neural network model associated with the second physical activity feature set.

In alternative embodiments, provided are products of manufacture, including devices and integrated systems, and methods, for reducing error-related negativity (ERN) and anxiety, and for treating or ameliorating Anxiety Disorders such as Generalized Anxiety Disorder (GAD) or Social Anxiety Disorder (SAD) and obsessive-compulsive disorder (OCD).

In alternative embodiments, provided are products of manufacture, including devices and integrated systems, and methods, for reducing error-related negativity (ERN) and anxiety, and for treating or ameliorating Anxiety Disorders such as Generalized Anxiety Disorder (GAD) or Social Anxiety Disorder (SAD) and obsessive-compulsive disorder (OCD).