A substance concentration measuring device, for measuring a substance concentration for a target substance in blood of a subject, comprising: a processing circuit; and a plurality of electrodes. At least two of the electrodes touches the subject when the subject wears the substance concentration measuring device, thereby the processing circuit can acquire at least one physiological signal caused by an eye of the subject. The processing circuit computes a voltage value or a voltage difference of the physiological signal, and computes the substance concentration according to the voltage value or the voltage difference. A human condition monitoring system comprising the substance concentration measuring device is also disclosed.

A substance concentration measuring device, for measuring a substance concentration for a target substance in blood of a subject, comprising: a processing circuit; and a plurality of electrodes. At least two of the electrodes touches the subject when the subject wears the substance concentration measuring device, thereby the processing circuit can acquire at least one physiological signal caused by an eye of the subject. The processing circuit computes a voltage value or a voltage difference of the physiological signal, and computes the substance concentration according to the voltage value or the voltage difference. A human condition monitoring system comprising the substance concentration measuring device is also disclosed.

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.

A system includes a biosensor having at least one electrode to receive signals from a patient, an amplifier to receive the signals from the at least one electrode, an analog-to-digital converter to receive the signals from the amplifier and convert the signals to digital data, a microprocessor, and an antenna to transmit the digital data, and a mobile computing device to: illuminate at least one photostimulator of the mobile computing device to provide luminous stimulation to the patient and perform measurements associated with ocular/retinal functions of the patient, receive the digital data from the biosensor in response to the luminous stimulation, display a waveform associated with the measurements on a graphical user interface (GUI), perform a comparison between the measurements and a library of diagnostic images, and determine an evaluation of a retinal function of the patient based on the comparison.

A device for obtaining retinal ERG signals from a target area of the retina, the device comprising means for obtaining an electrical response signal from the target area and at least one light source configured to provide at least a stimulus beam configured to illuminate the target area for inducing an ERG signal and a light adapting background beam configured to illuminate the retina at least in an area outside of the target area, for light adapting the area outside of the target area and suppressing ERG signaling therefrom.

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).