Described herein are systems, devices, and methods for energy-efficient operation of wireless devices. In some variations, a wireless monitor may comprise a sensor configured to measure a physiological parameter of a patient at a first resolution. A processor may be configured to generate physiological parameter data based on the measured physiological parameter of the patient at the first resolution. The sensor may be configured to measure the physiological parameter of the patient at a second resolution based at least in part on the physiological parameter data.

A physiological sensor device and system, and a correction method are provided. The physiological sensor device includes a physiological signal sensor, a first compensation sensor, and a signal processing device. The physiological signal sensor is attached to an object to be detected to sense a physiological signal value. The first compensation sensor is disposed on the physiological signal sensor. The signal processing device is coupled to the physiological signal sensor and the first compensation sensor. The signal processing device obtains through the first compensation sensor a failure region of the physiological signal sensor partially detached from the object to be detected and obtains a first failure compensation value according to the failure region, so as to compensate the physiological signal value sensed by the physiological signal sensor.

An adaptive audio therapy system which detects and processes one or more individuals' conditions to provide adaptive, continuous audio therapy in real-time. The adaptive audio therapy system generally includes a detection device that is typically in physical contact with an individual, such as a pacifier or steering wheel. The detection device may include sensors to detect various conditions of the individual, such as heart rate, respiration rate, temperature, and the like. A computing device receives and processes the various conditions detected by the sensors. Based on the detected conditions, the computing device provides audio therapy which is adaptive to the condition of the patient and which is continuously adapted in real-time.

Provided are systems for grouping users who have chosen to participate into one of a plurality of menstrual cycle groups based on data provided by and/or collected from those users. In some examples, a wearable computing device can include one or more sensors that can measure one or more physiological signals associated with the user. Based on the physiological signals gathered from the one or more sensors, the wearable computing device can determine biometric data for one or more users. Furthermore, the wearable computing device can enable a user to submit information about their menstrual cycle (e.g., via an interactive touch screen). These factors can be used to automatically determine some menstrual cycle data for a user.

A healthcare apparatus includes a BCG sensor; a camera; and a processor configured: to detect a ROI) corresponding to the face from the color facial image; to convert the detected first color image into a black and white image to acquire a first black and white image; to convert the detected second color image into a black and white image to acquire a second black and white image; to apply the acquired first black and white image and the acquired second black and white image to a predetermined trained algorithm model to output a remote photoplethysmography (rPPG) signal waveform of the subject; to calculate a first stress index based on the first heart rate variability; to calculate a second stress index based on the second heart rate variability; and to output a stress index of the subject based on the first stress index and the second stress index.

Example systems, methods, and apparatus are provided for using data collected from the responses of an individual with the computerized tasks of a cognitive platform to derive performance metrics as an indicator of cognitive abilities, and applying predictive models to generate an indication of neurodegenerative condition. The example systems, methods, and apparatus also can be configured to adapt the computerized tasks to enhance the individual's cognitive abilities, and for using data collected from the responses of an individual with the adapted computerized tasks to derive performance metrics and applying predictive models to generate the indication of neurodegenerative condition.

A physiological information processing apparatus includes a processor and a memory storing computer-readable instructions. When the instructions are executed by the processor, the physiological information processing apparatus obtains physiological information data indicative of physiological information of a subject, obtains a first parameter associated with a vital sign of the subject based on the physiological information data, displays a first trend graph showing temporal change in the first parameter in a first display area of a display screen of a display, obtains a second parameter associated with an autonomic nerve function of the subject based on the physiological information data, and displays a second trend graph showing temporal change in the second parameter in a second display area of the display screen. The first and second display areas are displayed next to each other such that time axes of the first and second display areas are synchronized with each other.

An example of a system for monitoring and treating respiratory distress in a patient may include signal inputs, a signal processing circuit, and a respiratory distress analyzer. The signal inputs may be configured to receive patient condition signals indicative of autonomic balance of the patient. The signal processing circuit may be configured to process the patient condition signals and to generate patient condition parameters indicative of the autonomic balance using the processed patient condition signals. The respiratory distress analyzer may be configured to determine a state of the respiratory distress using the patient condition parameters, and may include a parameter analysis circuit configured to analyze the autonomic balance of the patient and to determine the state of the respiratory distress using an outcome of the analysis.

Sleep performance systems and methods of using the same are disclosed. The sleep performance systems can improve the quality of sleep by making one or more recommendations to the subject for increasing a sleep quality score. The sleep performance systems can have one or more electroencephalography (EEG) electrodes configured to measure a subject's brain activity during sleep. The sleep performance systems can have a processor configured to quantify the quality of the subject's slow-wave sleep by determining one or more sleep performance scores associated with the measured brain activity. The sleep performance systems can recommend and/or activate sleep improvement programs based on various threshold scores.

Embodiments of the present disclosure relate to heart sound measurements using mobile devices. In an embodiment, a medical system for monitoring heart sounds of a subject comprises a medical device configured to obtain, during a first sampling interval, a first physiological signal. The medical system further comprises a mobile device comprising an accelerator, wherein the accelerator is configured to obtain, during a second sampling interval, a second physiological signal. And, the medical system comprises an analysis component configured to extract heart sounds data from the second physiological signal.