The present disclosure pertains to a system for delivering sensory stimulation to a subject, the system comprising: sensors configured to generate output signals indicating physiological parameters of a subject; a sensory stimulator configured to deliver sensory stimulation to the subject; and processors configured to: determine one or more physiological parameters of the subject; determine a target physiological parameter based on the determined one or more physiological parameters; determine one or more stimulation parameters of sensory stimulation to be delivered to the subject based on the target physiological parameter and the determined one or more physiological parameters; and cause the sensory stimulator to deliver the sensory stimulation to the subject based on the determined one or more stimulation parameters.

A wearable monitoring device comprising a printed circuit board having a first side and a second side opposite the first side, wherein the printed circuit board is configured to couple to at least one sensor configured to monitor a physiological condition; a first padding layer coupled to the printed circuit board proximate the first side; a second padding layer coupled to the printed circuit board proximate the second side; a first protective layer coupled to the first padding layer opposite the printed circuit board; a second protective layer coupled to the second padding layer opposite the printed circuit board, the first protective layer and the second protective layer seal together and enclose the first and second padding and the printed circuit board; a power source coupled to the printed circuit board.

A method for measuring stress based on the heart rate (HR), the heart rate variability (HRV), and the activity level of a user includes recording the HR, the HRV, and the activity level of a user at various times during the day. Thereafter, the three values are correlated to arrive at a stress level of the user. The stress level is estimated based on a predetermined set of algorithms and analysis methods. The physical disposition and the activity levels of the user are automatically detected and the vital parameters, i.e., the HR and the HRV recorded at times that are deemed fit for conducting orthostatic tests.

An electromotive force estimation method includes steps of: dividing a time series of an electrocardiographic potential to be estimated in a time series of an electromotive force into unit electrocardiographic potential time series such that time series representing electrocardiographic potentials generated by one pulsation of a myocardium are separated from each other; acquiring, for each unit electrocardiographic potential time series, a depolarization electrocardiographic potential time series that is a set of data belonging to a depolarization period, a refractory electrocardiographic potential time series that is a set of data belonging to a refractory period, and a repolarization electrocardiographic potential time series that is a set of data belonging to a repolarization period; estimating a depolarization electromotive force time series indicating an electromotive force at each time point in the depolarization period based on the depolarization electrocardiographic potential time series; estimating a refractory electromotive force time series indicating an electromotive force at each time point of the refractory period based on the refractory electrocardiographic potential time series and an estimation value of the electromotive force at an end time point of the depolarization period; and estimating a repolarization electromotive force time series indicating an electromotive force at each time point of the repolarization period based on the repolarization electrocardiographic potential time series and an estimation value of the electromotive force at an end time point of the refractory period.

An electromotive force estimation method includes steps of: dividing a time series of an electrocardiographic potential to be estimated in a time series of an electromotive force into unit electrocardiographic potential time series such that time series representing electrocardiographic potentials generated by one pulsation of a myocardium are separated from each other; acquiring, for each unit electrocardiographic potential time series, a depolarization electrocardiographic potential time series that is a set of data belonging to a depolarization period, a refractory electrocardiographic potential time series that is a set of data belonging to a refractory period, and a repolarization electrocardiographic potential time series that is a set of data belonging to a repolarization period; estimating a depolarization electromotive force time series indicating an electromotive force at each time point in the depolarization period based on the depolarization electrocardiographic potential time series; estimating a refractory electromotive force time series indicating an electromotive force at each time point of the refractory period based on the refractory electrocardiographic potential time series and an estimation value of the electromotive force at an end time point of the depolarization period; and estimating a repolarization electromotive force time series indicating an electromotive force at each time point of the repolarization period based on the repolarization electrocardiographic potential time series and an estimation value of the electromotive force at an end time point of the refractory period.

The invention relates to a device for determining the current stress state of a person in a simple manner, which device measures the pulse rate and based on that additionally determines the heart rate variability. In addition, at least one parameter should be used for the history of one of the two above-mentioned values. The deviation of the pulse rate and the heart rate variability from a normal variable is preferably integrated and used as an additional stress indicator. The device preferably includes a wearable electrocardiography device.

The present invention provides new methods for cardiac imaging and related medical applications thereof. In some embodiments, the present invention provides a method for the diagnosis of cardiovascular diseases, conditions, or disorders. In some embodiments, the present invention provides a method for the treatment or prevention of cardiovascular diseases, conditions, or disorders. In some embodiments, the present invention provides methods for monitoring the effect of cancer treatment on the heart, and/or methods for monitoring a cancer treatment regimen. In some embodiments, the present invention provides a method for selecting subjects for a test or treatment. In some embodiments, the present invention provides a method for determining the dosage of a drug. In some embodiments, the present invention provides methods for determining the risk of a cardiovascular disease, for assessing risk of a cardiovascular disease, and/or for determining the risk of heart attack.

The invention concerns wearable electronic devices, systems and methods for sports performance monitoring. In one embodiment, the invention provides a device comprising a heartbeat sensor for providing a heartbeat signal, a motion sensor for providing a motion signal and processing means adapted to calculate at least one performance parameter depicting said sports performance and/or the person using temporal characteristics of periodic features of the heartbeat signal compared with temporal characteristics of periodic features in the motion signal. The invention allows for utilization of an existing relation between cadence and heart rate for characterizing the performance or the person in a novel way.

Systems and methods for providing a preferred fitness state of a use are disclosed. The system includes at least a sensor that detects at least a biological parameter of a user and a fitness state soring module that generates a current user fitness state using machine-learning and the at least a biological parameter. Methods of providing a preferred fitness state of a user include detecting at least a biological parameter of a user, determining by a fitness state sorting module a current user fitness state and determining a user specific recommendation by the fitness state sorting module.

Methods and apparatus for diagnosing cardiovascular health in a patient by monitoring changes in skin redness levels, which is associated with perfusion and ability of circulatory system to adapt to physical exertion. Color detectors including colorimeters and spectrophotometers may be used to monitor and quantify skin color. Wet run solutions such as acetylcholine solutions may be applied to the skin area being monitored. Skin redness can be monitored during the course of exercise or a stress test, as well as during recovery. Wearable color detector devices can be worn by patients during exercise.