The invention relates to a system for acquiring the vital status of animals, which comprises at least one first device for acquiring vital functions, and at least one signal transmission means, wherein the first device has at least two first and/or second sensors arranged at a distance from each other. The components of the system for acquiring the vital status of animals can be detachably connected with each other by connectors.

The invention further relates to a method for determining the vital status of animals, wherein the vital functions are acquired by a first device with at least two first and/or second sensors arranged at a distance from each other, wherein the acquired data are transmitted by at least one signal transmission means to a data processing device, and there processed and evaluated, and from the data processing device to an external output device, which outputs the vital status of animals.

This document describes assessing cardiovascular function using an optical sensor, such as through sensing relevant hemodynamics understood by pulse transit times, blood pressures, pulse-wave velocities, and, in more breadth, ballistocardiograms and pressure-volume loops. The techniques disclosed in this document use various optical sensors to sense hemodynamics, such as skin color and skin and other organ displacement. These optical sensors require little if any risk to the patient and are simple and easy for the patient to use.

This document describes assessing cardiovascular function using an optical sensor, such as through sensing relevant hemodynamics understood by pulse transit times, blood pressures, pulse-wave velocities, and, in more breadth, ballistocardiograms and pressure-volume loops. The techniques disclosed in this document use various optical sensors to sense hemodynamics, such as skin color and skin and other organ displacement. These optical sensors require little if any risk to the patient and are simple and easy for the patient to use.

Systems and methods for predicting exposure to an agent. One or more features are extracted from physiological data. For each respective classifier, (i) the respective classifier is identified, wherein the respective classifier is trained using training data for a respective physiological state, (ii) the respective classifier is applied to the one or more features to obtain a classifier output that represents a likelihood of exposure, (iii) a respective first threshold is applied to the classifier output to determine a patient state classification, and (iv) the patient state classifications are aggregated across a number of time intervals to obtain an aggregate patient state classification for each classifier. The aggregate patient state classifications are combined across the plurality of classifiers to obtain a combined classification, and an indication that the patient has been exposed to the agent is provided when the combined classification exceeds a second threshold.

Techniques and technologies for determining and enhancing productivity are described. In at least some embodiments, a system for includes a processing component operatively coupled to a memory; a productivity analyzer at least partially disposed in the memory, the productivity analyzer including one or more instructions that when executed by the processing component perform operations including: receive productivity data associated with usage of one or more productivity tools by at least one user during a time period; receive biometric data associated with one or more biometric aspects of the at least one user during the time period; analyze one or more aspects of the productivity data and the biometric data; and determine based on the analysis at least one productivity-related operation intended to enhance at least one productivity metric of the at least one user.

A patient monitoring system includes at least two wireless sensing devices, each configured to measure a different physiological parameter from a patient and wirelessly transmit a parameter dataset. The system further includes a receiver that receives each parameter dataset, a processor, and a monitoring regulation module executable on the processor to assign one of the at least two wireless sensing devices as a dominant wireless sensing device and at least one of the remaining wireless sensing devices as a subordinate wireless sensing device. The physiological parameter measured by the dominant wireless sensing device is a key parameter and the parameter dataset transmitted by the dominant wireless sensing device is a key parameter dataset. The key parameter dataset from the dominant wireless sensing device is processed to determine a stability indicator. The subordinate wireless sensing device is then operated based on the stability indicator for the key parameter.

A multiple physiological signals sensing chip is provided. The multiple physiological signals sensing chip includes a substrate, a first light-emitting diode, a second light-emitting diode, a sensing array, and a processing unit. The substrate includes a contact surface touched by a finger. The first and second light-emitting diodes respectively emit red light and infrared light to the finger. The sensing array senses the red light or the infrared light reflected or refracted from the finger to obtain first physiological sensing signals according to a first sensing period or senses the red light and the infrared light reflected or refracted from the finger to obtain second physiological sensing signals according to a second sensing period. The first sensing period is shorter than the second sensing period. The processing unit respectively processes the first and second physiological sensing signals to obtain spatial information and energy information corresponding to the finger.

Biometric identification methods and apparatuses (including devices and systems) for uniquely identifying one an individual based on wearable garments including a plurality of sensors, including but not limited to sensors having multiple sensing modalities (e.g., movement, respiratory movements, heart rate, ECG, EEG, etc.).

An arrangement may include a first system provided for processing physiological data representative of a beating heart. The first system may be adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system. The second system may be adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the first system, and for sending the at least one new pattern to the first system. The at least one new pattern may also include a rule that includes a set of conditions and an action to perform if the set of conditions is met.

An arrangement may include a first system provided for processing physiological data representative of a beating heart. The first system may be adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system. The second system may be adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the first system, and for sending the at least one new pattern to the first system. The at least one new pattern may also include a rule that includes a set of conditions and an action to perform if the set of conditions is met.