A system and method for therapeutic stimulation using virtual objects and gamification, in which multi-modality stimulus is applied using some combination of virtual elements, attention is enhanced by virtue of the user's active participation, and long-term use is encouraged by virtue of the entertaining nature of the gamification. Depending on configuration, the system and method may comprise a display comprising virtual objects, a light-producing device (other than the display), an audio-producing device such as speakers or headphones, a haptic feedback device such as a vibratory motor, a means for monitoring the user's attention, and a software application which applies therapeutic stimulation using some combination of the display, the light-producing device, the audio-producing device, and the haptic feedback device.

A system and method for therapeutic stimulation using virtual objects and gamification, in which multi-modality stimulus is applied using some combination of virtual elements, attention is enhanced by virtue of the user's active participation, and long-term use is encouraged by virtue of the entertaining nature of the gamification. Depending on configuration, the system and method may comprise a display comprising virtual objects, a light-producing device (other than the display), an audio-producing device such as speakers or headphones, a haptic feedback device such as a vibratory motor, a means for monitoring the user's attention, and a software application which applies therapeutic stimulation using some combination of the display, the light-producing device, the audio-producing device, and the haptic feedback device.

A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.

A monitoring system a user activity sensor to determine patterns of activity based upon the user activity occurring over time.

A monitoring system a user activity sensor to determine patterns of activity based upon the user activity occurring over time.

Traditional analysis of sleep patterns requires several channel of data. This analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, determining the effect of medication on sleep states and identifying biomarkers, and drug dosages or reactions.

Traditional analysis of sleep patterns requires several channel of data. This analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, determining the effect of medication on sleep states and identifying biomarkers, and drug dosages or reactions.

A method for generating stimulation parameters, an electrical stimulation control apparatus and an electrical stimulation system are provided. After receiving a brainwave signal, the brainwave signal is decomposed to obtain a first sub-signal and a second sub-signal. Then, the first sub-signal is analyzed to obtain an intrinsic frequency series, and the second sub-signal is converted to a Boolean signal. Subsequently, the intrinsic frequency series and the Boolean signal, which serve as a set of stimulation parameters, are outputted to the stimulator, enabling the stimulator to generate a stimulus signal.

A method for generating stimulation parameters, an electrical stimulation control apparatus and an electrical stimulation system are provided. After receiving a brainwave signal, the brainwave signal is decomposed to obtain a first sub-signal and a second sub-signal. Then, the first sub-signal is analyzed to obtain an intrinsic frequency series, and the second sub-signal is converted to a Boolean signal. Subsequently, the intrinsic frequency series and the Boolean signal, which serve as a set of stimulation parameters, are outputted to the stimulator, enabling the stimulator to generate a stimulus signal.

A method for time-synchronizing waveforms from different patient monitors that does not require devices to have high-precision synchronized clocks or to be coupled to a triggering synchronization signal generator. Comparable signals may be obtained from different devices either by placing selected sensors from the devices in the same locations, or by filtering signals from one device to obtain a signal comparable to signals from another device. Filtering may for example transform waveforms into independent components and identify a component that matches a signal from another device. The comparable signals may then be transformed into frequency variation curves, such as time intervals between peak values, to facilitate detection of the time shift between the signals. Cross correlation of the frequency variation curves may be used to locate the precise time shift between the signals. Use of frequency variation curves may be more robust than directly comparing and correlating the original signals.