A measurement device and method for measuring psychology stress index and blood pressure is disclosed. When the measurement device is in the psychology stress measurement mode and a pressurizing motor unit is pressurizing an airbag unit with a variable speed, the micro-processor unit may control the pressurizing motor unit to stop pressurizing the airbag unit after the pressure signal is determined as a pulse signal, and the micro-processor unit may measure the pulse signal to determine the psychology stress index. The psychology stress index is a ratio of SDNN and RMSSD according to interval data of the pulse signal within a period of time.

Systems, devices, and methods for managing alerts associated with a target physiological event such as a worsening heart failure event are described. A system may detect one or more alert onsets using an onset threshold, and one or more corresponding alert terminations using a reset threshold. Alerts may be issued corresponding to the detected alert onsets and alert terminations. The system may compare the alerts to a specified alert characteristic, and iteratively adjust the onset or reset threshold until the alerts corresponding to the adjusted onset or reset threshold satisfy the specified alert characteristic. The adjusted onset and reset thresholds may be presented to a user or a process for detecting the target physiological event.

Methods and systems are provided for discriminating rhythm patterns in cardiac activity. The method and system obtain cardiac activity data for multiple cardiac beats over a predetermined period of time. Multi-beat segments within the cardiac activity data exhibit different rhythm patterns of interest including fast and slow rhythm patterns. The method and system calculate a cardiac beats timing relation representative of intervals between the cardiac beats within a measurement window, wherein the measurement window is configured to overlap the corresponding multi-beat segment. The method and system designate the cardiac beats timing relation to have one of the rhythm patterns of interest based on a rate threshold, identifies when successive multi-beat segments exhibit rhythm patterns that transition between the fast and slow irregular rhythm patterns and records the irregular rhythm pattern transition in connection with the cardiac activity data.

Described are novel systems for the diagnosis of specific mental disorders using neurometrics. EEG parameters are compared to thresholds to determine if a person is suffering from autism spectrum disorder, Alzheimer's disease, anxiety, depression, or schizophrenia.

Various embodiments relate generally to electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an interface between an organism and other computing machine-based entities, and, more specifically, to sensors that facilitate determination of a state of neural activity with which to associate data representing, for example, an intent and/or a command; to implementations of sensors under control to, for example, modify sensing characteristics to interpolate response signals spatially or temporally, or both, to facilitate determination of a state of neural activity; to the formation or implementation of a data model that includes, for example, data arrangements representative of at least neuronal activity to facilitate determination of a state of neural activity; and to mobile human-machine interface to facilitate control based on neuronal activity of an organism.

Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired.

Systems and techniques for managing biological signals. In one implementation, a method includes receiving a cardiac biological signal that includes information describing events, determining a merit of each event based on one or more of a severity of a cardiac condition associated with the event and a quality of the event, and handling a subset of the events that meet a merit criterion. The subset can be handled for medical purposes.

A system and method for communicating data and signals through the Medical Implant Communication Service Band using a repeater or base station in the proximity to an implantable device within a patient is disclosed. In a preferred embodiment, the device is capable for early detection and monitoring of congestive heart failure in a patient. Impedance measurements, or other health parameters depending on the type of implantable device or sensor used, are sent using a bi-directional low-power radio operating in the MICS band to a nearby base station which may provide signal processing and analysis. The base station may have an interface to one or more communications networks to connect to a remote location. The system and method of the present invention permits a healthcare professional to monitor an ambulatory patient's condition at a remote location and to program the implanted device.

A measurement system for acquiring biopotentials is provided, which comprises a sensor device and a processing device, which are electrically connected to cooperate during use. The measurement system may be capable of simultaneous measurement of biopotentials by the sensor device and wireless transmission of amplified biopotentials by the processing device, and may be provided with means for preventing the measurements from being disturbed by the transmissions. Also disclosed are (i) a sensor device for measuring a biopotential having at least one sensor with a measurement electrode for measuring the biopotential at a measurement portion of a body and (ii) a processing device for processing biopotentials that has at least one sensor input for receiving the amplified biopotentials measured by a sensor of the sensor device.

The present disclosure provides a system and method of determining a risk score for triage. In particular, a system is provided for providing an assessment of risk of a cardiac event for a patient, for example an incoming patient to a hospital emergency department complaining of chest pain. In the disclosure, the system includes an input device for measuring physiological data based vital signs parameter of the patient, a twelve-lead electrocardiogram (ECG) device for establishing an ECG obtained from results of the electrocardiography procedure, and determining an ECG parameter and a heart rate variability (HRV) parameter therefrom. An ensemble-based scoring system is further provided, establishing weighted classifier based on past patient data and where the vital signs parameter, the ECG parameter and the HRV parameter are compared to corresponding weighted classifiers to determine a risk score. A corresponding method to determine a risk score for triage is also provided.