A brain wave monitoring system includes an electronic device and at least one electroencephalograph connected to the electronic device, each electroencephalograph includes 8 channels respectively connected to a corresponding electrode for receiving a brain wave signal. The electronic device scans a number of the at least one electroencephalograph and sequentially displays multiple channels of the at least one electroencephalograph according to an identifier of each of the at least one electroencephalograph. The brain wave monitoring system can automatically detect the number of electroencephalographs connected to the electronic device, and display the brain wave signals of all channels of all electroencephalographs according to the number of electroencephalographs and 8 channels of each electroencephalograph. The brain wave monitoring system can also prompt a guide message according to a channel impedance value and a signal quality index to assist a user improving a quality of the brain wave.

A brain wave monitoring system includes an electronic device and at least one electroencephalograph connected to the electronic device, each electroencephalograph includes 8 channels respectively connected to a corresponding electrode for receiving a brain wave signal. The electronic device scans a number of the at least one electroencephalograph and sequentially displays multiple channels of the at least one electroencephalograph according to an identifier of each of the at least one electroencephalograph. The brain wave monitoring system can automatically detect the number of electroencephalographs connected to the electronic device, and display the brain wave signals of all channels of all electroencephalographs according to the number of electroencephalographs and 8 channels of each electroencephalograph. The brain wave monitoring system can also prompt a guide message according to a channel impedance value and a signal quality index to assist a user improving a quality of the brain wave.

A system for assessing stroke conditions includes a wearable stimulator and a sensor device configured to obtain physiological data from a patient. The sensor device can include electrodes configured to detect electrical signals corresponding to brain activity. A computing device communicatively coupled to the wearable stimulator and the sensor device is configured to receive the physiological data and analyze the physiological data to provide a patient stroke assessment.

A system for assessing stroke conditions includes a wearable stimulator and a sensor device configured to obtain physiological data from a patient. The sensor device can include electrodes configured to detect electrical signals corresponding to brain activity. A computing device communicatively coupled to the wearable stimulator and the sensor device is configured to receive the physiological data and analyze the physiological data to provide a patient stroke assessment.

Systems and methods for the evaluation of clinical treatment efficacy is disclosed. The systems and methods include protocols for selection of appropriate patients/subjects for the evaluation of a specific clinical treatment. The systems and methods are based on objective measures of brain activity. The clinical treatments include pharmacological compounds in development or existing compounds approved by the appropriate regulatory authority (e.g., U.S. Federal Drug Administration), as well as transcranial magnetic or electric stimulation, including non-invasive approaches as well as grid- or depth-based electrode arrays, as well as behavioral therapies.

Systems and methods for the evaluation of clinical treatment efficacy is disclosed. The systems and methods include protocols for selection of appropriate patients/subjects for the evaluation of a specific clinical treatment. The systems and methods are based on objective measures of brain activity. The clinical treatments include pharmacological compounds in development or existing compounds approved by the appropriate regulatory authority (e.g., U.S. Federal Drug Administration), as well as transcranial magnetic or electric stimulation, including non-invasive approaches as well as grid- or depth-based electrode arrays, as well as behavioral therapies.

The disclosed apparatus, systems and methods relate to predicting, screening, and monitoring for mortality and other negative patient outcomes. Systems and methods may include receiving one or more signals from one or more sensing devices; processing the one or more signals to extract one or more features from the one or more signals; analyzing the one or more features to determine one or more values for each of the one or more features; comparing at least one of the one or more values or a measure based on at least one of the one or more values to a threshold; determining a presence, absence, or likelihood of the subsequent mortality, falls or extended hospital stays for a patient based on the comparison; and outputting an indication of the presence, absence, or likelihood of the subsequent development of poor outcomes or death for the patient.

The disclosed apparatus, systems and methods relate to predicting, screening, and monitoring for mortality and other negative patient outcomes. Systems and methods may include receiving one or more signals from one or more sensing devices; processing the one or more signals to extract one or more features from the one or more signals; analyzing the one or more features to determine one or more values for each of the one or more features; comparing at least one of the one or more values or a measure based on at least one of the one or more values to a threshold; determining a presence, absence, or likelihood of the subsequent mortality, falls or extended hospital stays for a patient based on the comparison; and outputting an indication of the presence, absence, or likelihood of the subsequent development of poor outcomes or death for the patient.

An intelligent portable medical instrument has an information processing unit and a data storage unit which are connected to a measurement and human body data collection unit. The measurement and human body data collection unit measures electrical, chemical, and acoustic data and sends the data to the information processing unit. The information processing unit compares the measured human physiological index data with the standard ranges of values and makes a preliminary health diagnosis opinion. The preliminary health diagnosis opinion and the measured data are transmitted to an in vitro unit which preferably uploads the information to a cloud server. The in vivo portion of the intelligent portable medical instrument is provided by a single integrated circuit.

An easily manageable device and a method used as an early warning system would be desirable. The device should be usable at virtually any location and operable with little proficiency, and it should be sterilizable, resource-saving and inexpensive. This is achieved by the following: an attachment for the head of a person, the attachment coupled to a first control unit (T) and comprising electrodes (E.sub.1 to E.sub.4) for receiving cerebral electrical activity or brain potentials, wherein the electrodes lead to the first control unit (T). The first control unit (T) has a microprocessor which is capable of recording signals from the electrodes (E.sub.1 to E.sub.4) in a time-related manner via an analog-to-digital converter. The first control unit (T) is coupled to or actuates an actuator element (A.sub.1), which is capable of releasing (LDZ.sub.1) a fragrance in pulses as a stimulus in a flow from at least one pressurized cartridge (K.sub.1). The signals of the electrodes (E.sub.1 to E.sub.4) have an EEG signal level in order to record (FIG. 5, FIG. 6) a group of chemosensorically-evoked potentials or at least the chemosensorically-influenced temporal sections thereof in a time-related manner and to analyze them - preferably not on the human head.