Systems and methods are disclosed for monitoring a user by calibrating one or more noninvasive sensors to track a user glucose level at one or more user physical activity conditions; generating a calibration based on the one or more user conditions; and in real time detecting a current user condition and applying the calibration to accurately estimate the user glucose or insulin level.

Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

A method of extracting heart information from a body micro-movement is provided. The method includes a face tracking step, a frame difference averaging step, smoothing filtering step, and a sliding peak detection step.

For the purpose of determining blood pressure with high precision, a blood pressure determination device of the present invention includes: pulse wave calculating means that calculates, on the basis of a pressure signal in a specific time period and of a pulse wave signal measured in the specific time period due to pressure related to the pressure signal, a plurality of timings at which the pulse wave signal satisfies a predetermined condition, a time period that represents a difference between the timings, and a pressure value of the pressure signal in the time period, and calculates pulse wave information that associates the time period with the pressure value; data extracting means that extracts a specific data range from the pulse wave information on the basis of an arterial viscoelasticity indicator; and blood pressure determining means that determines diastolic blood pressure on the basis of a correspondence relationship between a pressure value and a time period within the data range.

For the purpose of determining blood pressure with high precision, a blood pressure determination device of the present invention includes: pulse wave calculating means that calculates, on the basis of a pressure signal in a specific time period and of a pulse wave signal measured in the specific time period due to pressure related to the pressure signal, a plurality of timings at which the pulse wave signal satisfies a predetermined condition, a time period that represents a difference between the timings, and a pressure value of the pressure signal in the time period, and calculates pulse wave information that associates the time period with the pressure value; data extracting means that extracts a specific data range from the pulse wave information on the basis of an arterial viscoelasticity indicator; and blood pressure determining means that determines diastolic blood pressure on the basis of a correspondence relationship between a pressure value and a time period within the data range.

Systems and methods are disclosed for monitoring a user by calibrating one or more noninvasive sensors to track a user glucose level at one or more user physical activity conditions; generating a calibration based on the one or more user conditions; and in real time detecting a current user condition and applying the calibration to accurately estimate the user glucose or insulin level.

Systems and methods are disclosed for monitoring a user by calibrating one or more noninvasive sensors to track a user glucose level at one or more user physical activity conditions; generating a calibration based on the one or more user conditions; and in real time detecting a current user condition and applying the calibration to accurately estimate the user glucose or insulin level.

Presented herein are techniques for initiating a night-time mode of operation in an implantable hearing prosthesis in response to detection of night-time recharging operations. More specifically, an implantable hearing prosthesis comprises a rechargeable battery that is configured to be recharged via an external night-time charging device, such as a pillow charger. The implantable hearing prosthesis is configured to detect inductive charging of the rechargeable battery by the external night-time charging device. In response, the implantable hearing prosthesis is switched to a night-time mode of operation.

Presented herein are techniques for initiating a night-time mode of operation in an implantable hearing prosthesis in response to detection of night-time recharging operations. More specifically, an implantable hearing prosthesis comprises a rechargeable battery that is configured to be recharged via an external night-time charging device, such as a pillow charger. The implantable hearing prosthesis is configured to detect inductive charging of the rechargeable battery by the external night-time charging device. In response, the implantable hearing prosthesis is switched to a night-time mode of operation.

An example method is performed by an electrocardiogram (ECG) device and includes determining a number of lead wires of an ECG cable assembly that is attached to the ECG device. The method also includes receiving ECG signals using electrodes of the ECG cable assembly. Further, the method includes using the number of lead wires as a basis for selecting a live-lead view from among a first live-lead view and a second live-lead view. Still further, the method includes displaying a representation of the ECG signals in the selected live-lead view in accordance with the selection.