A system and a method for generating stress level information for an individual and stress level resilience information for an individual, which includes a stress information processing module configured to process stress information for the individual, the stress information for the individual comprising at least two of psychometric information for the individual, physiological information for the individual, behavioural information for the individual, and cognitive function information for the individual.

The present disclosure provides an exercise monitoring device. The exercise monitoring device comprises a sensor module, a processing module, a storage module, and a user interface. The present disclosure also provides a method for estimating maximal oxygen consumption and/or future total exercise time by obtaining a person's physiological data and exercise data. The present disclosure further provides a method for calibrating the future total exercise time by environmental conditions to form an environmental specific total exercise time.

Systems and methods for identifying a condition of a user. A treatment apparatus is configured to be manipulated by the user for performing an exercise, and an interface is communicably coupled to the treatment apparatus. One or more sensors are configured to sense one or more characteristics of an anatomical structure of the user. A processing device and a memory is communicatively coupled to the processing device. The memory includes computer readable instructions, that when executed by the processing device, cause the processing device to: receive, from the sensors, one or more sensor inputs representative of the one or more of characteristics of the anatomical structures; calculate an infection probability of a disease based on the one or more characteristics of the anatomical structures; and output, to the interface, a representation of the infection probability.

An earpiece module includes a plurality of sensor regions, each sensor region contoured to matingly engage a respective different region of an ear of a subject, and each sensor region including an electrode. The earpiece module is configured to detect or measure physiological information about the subject from the different ear regions via the respective electrodes.

A drinking behavior monitoring device is provided which comprises a stress level detection sensor (300) detecting a stress level of a baby (20), a suction frequency detection sensor (200) detecting a suction frequency during a feeding of the baby and an analyzer (400) analyzing a drinking behavior of a baby based on the detected stress level and the detected suction frequency. The analyzer (400) compares the analyzed drinking behavior with a typical or predetermined drinking behavior and can output a notification based on the analyzed drinking behavior.

The present invention provides systems and methods for management and orchestration of a fleet of remote Internet-of-Things (IoT) devices. The present invention includes a platform for onboarding, provisioning, and managing remote IoT devices throughout their lifetime. The platform includes portals for manufacturers, vendors, and consumers to access device data and sensor data collected by the devices. The data collected by the portal is used to control the fleet of remote IoT devices as well as make recommendations, e.g., for sleep promotion and stress reduction.

A modulated physiological sensor is a noninvasive device responsive to a physiological reaction of a living being to an internal or external perturbation that propagates to a skin surface area. The modulated physiological sensor has a detector configured to generate a signal responsive to the physiological reaction. A modulator varies the coupling of the detector to the skin so as to at least intermittently maximize the detector signal. A monitor controls the modulator and receives an effectively amplified detector signal, which is processed to calculate a physiological parameter indicative of the physiological reaction.

The present invention relates to determining a treatment response index. In order to improve and facilitate hypertension treatment procedures, a device (10) for determining a treatment response index is provided that comprises a data input (12), a data processor (14) and a data output (16). The data input is configured to receive a value (18) of at least one first measurement of a physiological parameter of a subjects vasculature under a first condition; and to provide a value (20) of at least one second measurement of the physiological parameter of the vasculature under a second condition. In the second condition, a pre-determined stimulation is provided, and the first condition is non-stimulated or at least differently stimulated. The data processor is configured to generate a treatment response index. In an example, the data output is configured to provide a classification of the subject into one of at least two groups of subjects, based on the treatment response index.

A system and a method for identifying a patient with a threshold number of distinct ECG abnormalities. The system and the method include an ECG monitoring device; a server; a database; a network; a memory containing machine readable medium comprising a machine executable code having stored thereon instructions for identifying patients with a threshold number of distinct ECG abnormalities; and a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to: receive an ECG data output from the ECG monitoring device; process the ECG data output to identify abnormalities in the ECG data; and analyze the abnormalities in the ECG data in order to output an indication of whether the patient has depressed LVEF, wherein the ECG monitoring device, the server, the database, the memory, and the processor are coupled to the network via communication links.

A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.