Disclosed is a biosignal acquisition device for the acquisition, in particular the concurrent or simultaneous acquisition, of optical and electrical biosignals. The optical and electrical biosignals are both received by an analog front end device for biosignals, with an opto-electric converter for converting the optical biosignals into electrical signals. Also disclosed are a system of a plurality of biosignal acquisition devices and a biosignal acquisition method.

Novel tools and techniques are provided for assessing, predicting and/or estimating a probability that a patient is bleeding, in some cases, noninvasively. In various embodiments, tools and techniques are provided for implementing rapid detection of bleeding of the patient or implementing assessment, prediction, or estimation of a probability of bleeding of the patient following injury, in some instances, in real-time before, during, and after fluid resuscitation. According to some embodiments, one or more sensors might monitor physiological data of the patient before, during, and after resuscitation following injury. A computer system might receive and analyze the physiological data, and might estimate a probability that the patient is bleeding, based at least in part on the analyzed physiological data. An indication of at least one of an assessment, prediction, or estimate of a probability that the patient is bleeding may then be displayed on a display device.

A monitoring apparatus includes a wearable electronic device having an audio port and a headset having at least one earbud, at least one physiological and/or environmental sensor, and circuitry that processes signals produced by the at least one physiological and/or environmental sensor and transmits the processed signals to the electronic device via the audio port. The headset may include a microphone in audio communication with the electronic device via the audio port, and the circuitry modulates audio signals produced by the microphone and signals produced by the at least one physiological and/or environmental sensor for transmission to the electronic device via the audio port. The circuitry may power the at least one physiological and/or environmental sensor via power supplied by the electronic device through the audio port and may include a processor that coordinates collection, modulation, and/or transmission of signals produced by the at least one physiological and/or environmental sensor.

An example system includes an analyzer to identify first activity in first neuro-response data, the first activity generated in response to exposure of a subject to a first stimulus prior to exposure to an advertisement or entertainment; identify second activity in second neuro-response data, the second activity generated in response to re-exposure of the subject to the first stimulus after to exposure to the advertisement or entertainment; calculate a differential event related potential measurement; and calculate a differential event related power spectral perturbation. The example system includes a resonance estimator to determine a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement and adjust at least one of the subject resonance measurement or the differential event related potential measurement based on the differential event related power spectral perturbation to generate an adjusted subject resonance measurement.

An example system includes an analyzer to identify first activity in first neuro-response data, the first activity generated in response to exposure of a subject to a first stimulus prior to exposure to an advertisement or entertainment; identify second activity in second neuro-response data, the second activity generated in response to re-exposure of the subject to the first stimulus after to exposure to the advertisement or entertainment; calculate a differential event related potential measurement; and calculate a differential event related power spectral perturbation. The example system includes a resonance estimator to determine a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement and adjust at least one of the subject resonance measurement or the differential event related potential measurement based on the differential event related power spectral perturbation to generate an adjusted subject resonance measurement.

A system that determines one or more sleep phenotyping parameters of a subject. In one embodiment, the system comprises a sleep sensor, a stimulus generator, and a processor. The sleep sensor generates signals that convey information related to the physiological functions that indicate the sleep stage of the subject. The stimulus generator provides a stimulus to the subject that enables information related to the sleep phenotyping parameters to be determined. The processor receives the signals generated by the sleep sensor and is in operative communication with the stimulus generator. The processor (i) determines, based on the signals received from the sleep sensor, whether a trigger condition related to the current sleep stage of the subject is satisfied, (ii) controls the stimulus generator to provide the stimulus to the subject if the trigger condition is satisfied, and (iii) quantifies the response of the subject to the stimulus.

The present invention discloses a depression assessment system based on physiological information, comprising an information acquisition module, a signal processing module, a parameters calculation module, a feature selection module, a machine learning module and an output result module. The present invention further discloses a depression assessment method based on various physiological information, comprising the following steps: 1, processing electrocardiogram (ECG) signal and one or more of photoplethysmography (PPG) signal, electroencephalogram (EEG) signal, galvanic skin response (GSR)signal, electrogastrography (EGG) signal, electromyogram (EMG) signal, electrooculogram (EOG) signal, polysomnogram (PSG) signal and temperature signal, and calculating signal parameters; 2, normalizing the obtained signal parameters, and performing the feature selection on parameters set formed by the normalized signal parameters to obtain feature parameters set; and 3, performing machine learning by utilizing the obtained feature parameters set, and establishing a depression assessment mathematic model to assess the depression level by utilizing a relationship between the feature parameters set and the depression level. The present invention has the advantage that the subjectivity of the assessment by utilizing the depression rating scale can be avoided.

A bio-signal measurement apparatus comprises tool-less connectors, coupling targets, a controllable coupling selection arrangement, and a control arrangement. The tool-less connectors are for an electric contact with a separate docking apparatus or an electrode arrangement. The coupling targets include a battery and a data communication unit that performs electrically a plug-and-play data transfer with the separate docking apparatus. The tool-less connectors, the number of which is three, are electrically coupled with the controllable coupling selection arrangement, which electrically couples all the tool-less connectors with only one of the coupling targets at a time in response to control from the control arrangement. The battery receives electricity from the tool-less connectors for charging the battery through the electric coupling caused by the coupling selection arrangement under control of the control arrangement during a first time window when the bio-signal measurement apparatus is connected with the docking apparatus. The data communication unit sends and/or receives data through the tool-less connectors using the plug-and-play data transfer based on the electric coupling caused by the coupling selection arrangement under control of the control arrangement during a second time window when the bio-signal measurement apparatus is connected with the docking apparatus.

A bio-signal measurement apparatus comprises tool-less connectors, coupling targets, a controllable coupling selection arrangement, and a control arrangement. The tool-less connectors are for an electric contact with a separate docking apparatus or an electrode arrangement. The coupling targets include a battery and a data communication unit that performs electrically a plug-and-play data transfer with the separate docking apparatus. The tool-less connectors, the number of which is three, are electrically coupled with the controllable coupling selection arrangement, which electrically couples all the tool-less connectors with only one of the coupling targets at a time in response to control from the control arrangement. The battery receives electricity from the tool-less connectors for charging the battery through the electric coupling caused by the coupling selection arrangement under control of the control arrangement during a first time window when the bio-signal measurement apparatus is connected with the docking apparatus. The data communication unit sends and/or receives data through the tool-less connectors using the plug-and-play data transfer based on the electric coupling caused by the coupling selection arrangement under control of the control arrangement during a second time window when the bio-signal measurement apparatus is connected with the docking apparatus.

The circuit may include bio-stimulating signal generating circuit which generates a bio-stimulating signal in a bio-stimulating mode, a bio-signal electrode which delivers the bio-stimulating signal generated in the bio-stimulating mode and receives a bio-signal in a bio-signal measuring mode, a switch block which is turned on when a voltage of the bio-stimulating signal is greater than a first reference voltage which is greater than a second reference voltage or lower than the second reference voltage, first and second resistors, and a bio-signal measuring circuit which measures voltage signals divided by the first and second resistors or measures a signal of the bio-signal electrode according to whether the switch block is turned on. The first and second resistors may be serially connected between the bio-signal electrode and the switch block, and divide a voltage of a signal of the bio-signal electrode when the switch block is turned on.