An apparatus is suitable for measuring a photoplethysmogram (PPG). A photoplethysmographic sensor apparatus may include a casing defining a surface, a plurality of optical emitters configured to emit radiation extending from the surface, at least one photo sensor configured to capture radiation emitted by at least a subset of the plurality of optical emitters. At least a first measurement configuration and a second configuration is defined by the plurality of optical emitters and the at least one photo sensor such that the first and the second measurement configuration provide different measurement channels by including at least partially different sets of at least one optical emitter and at least one photo sensor. The first and second measurement configurations define different spatial configurations, each of which is line symmetric with respect to an imaginary line along the surface.

An apparatus is suitable for measuring a photoplethysmogram (PPG). A photoplethysmographic sensor apparatus may include a casing defining a surface, a plurality of optical emitters configured to emit radiation extending from the surface, at least one photo sensor configured to capture radiation emitted by at least a subset of the plurality of optical emitters. At least a first measurement configuration and a second configuration is defined by the plurality of optical emitters and the at least one photo sensor such that the first and the second measurement configuration provide different measurement channels by including at least partially different sets of at least one optical emitter and at least one photo sensor. The first and second measurement configurations define different spatial configurations, each of which is line symmetric with respect to an imaginary line along the surface.

Embodiment provides a terminal which comprises at least one processor. The at least one processor is configured to: obtain first biometric feature information of a measured target, where the first biometric feature information includes a pulse wave signal and/or an electrocardio signal of the measured target; obtain a first status of the measured target according to the first biometric feature information of the measured target; determine blood pressure calculation policy of the measured target according to the first status of the measured target; and determine a blood pressure value of the measured target according to the blood pressure calculation policy and the first biometric feature information of the measured target.

Embodiment provides a terminal which comprises at least one processor. The at least one processor is configured to: obtain first biometric feature information of a measured target, where the first biometric feature information includes a pulse wave signal and/or an electrocardio signal of the measured target; obtain a first status of the measured target according to the first biometric feature information of the measured target; determine blood pressure calculation policy of the measured target according to the first status of the measured target; and determine a blood pressure value of the measured target according to the blood pressure calculation policy and the first biometric feature information of the measured target.

Various examples describe a livestock monitoring system and method. A sensor signal may comprise a rotational component describing a rotation of the sensor within an animal and a linear component describing a linear movement of the sensor within the animal. The rotational component may be used to identify an animal respiration signal. The animal respiration signal and the linear component may be used to generate a respiration-corrected linear component. An animal heart signal may be detected from the respiration-corrected linear component.

A hemodynamic parameter (Hdp) monitoring system for diagnosing a health condition of a patient and for establishing Hdp marker values or Hdp surrogate marker values for purposes of comparison with Hdp values of a patient is provided. An Hdp monitor senses, measures, and records Hdp values exhibited by the patient during a basal or non-exposure period and furthermore Hdp values exhibited by the patient during or after an exposure period during which the patient is exposed to low-energy electromagnetic output signals. An electrically-powered generator is adapted to be actuated to generate said low-energy electromagnetic carrier output signals for exposing or applying to the patient such output signals during said exposure period.

A method for analyzing an acoustic signal having a time period and having a plurality of repeated audio patterns, has the following steps: receiving an audio signal having the acoustic signal; determining the audio patterns repeated within the acoustic signal; determining a window length for a plurality of windows, wherein the window length divides the time period of the acoustic signal into the plurality of windows; and windowing the acoustic signal to obtain the plurality of windows.

A method for analyzing an acoustic signal having a time period and having a plurality of repeated audio patterns, has the following steps: receiving an audio signal having the acoustic signal; determining the audio patterns repeated within the acoustic signal; determining a window length for a plurality of windows, wherein the window length divides the time period of the acoustic signal into the plurality of windows; and windowing the acoustic signal to obtain the plurality of windows.

Techniques are provided for tracking heartrate metrics using different operating modes associated with different contexts of a wearable device. For example, a heartrate sensor of the wearable device may be operated in a first operating mode when an activity is being tracked within an application session of a particular application. The heartrate sensor may be operated in a second operating mode after detecting conclusion of the activity within the activity session (e.g., during sedentary time).

Techniques are provided for tracking heartrate metrics using different operating modes associated with different contexts of a wearable device. For example, a heartrate sensor of the wearable device may be operated in a first operating mode when an activity is being tracked within an application session of a particular application. The heartrate sensor may be operated in a second operating mode after detecting conclusion of the activity within the activity session (e.g., during sedentary time).