Heart rates and beat lengths of a subject can be extracted from videos of the subject by measuring subtle head motion caused by the Newtonian reaction to the influx of blood at each beat. Embodiments track features on the video images of the subject's head and perform principal component analysis (PCA) to decompose the feature location-time series into a set of component motions. The method or system then selects a component that best corresponds to heartbeats based on its temporal frequency spectrum. Finally, the motion projected to this component is analyzed and peaks of the location-time series are identified, which correspond to heartbeats. Pulse rate measurements or heart rate measurements of the subject are output.

Heart rates and beat lengths of a subject can be extracted from videos of the subject by measuring subtle head motion caused by the Newtonian reaction to the influx of blood at each beat. Embodiments track features on the video images of the subject's head and perform principal component analysis (PCA) to decompose the feature location-time series into a set of component motions. The method or system then selects a component that best corresponds to heartbeats based on its temporal frequency spectrum. Finally, the motion projected to this component is analyzed and peaks of the location-time series are identified, which correspond to heartbeats. Pulse rate measurements or heart rate measurements of the subject are output.

A contactless detection method with noise elimination is applied to measuring the information of physiological and physical activities. It includes following steps: sensing a human body to generate an image by an image sensor; capturing a physiological signal from the image; tracing a feature point of the human body in the image to generate a physical activity signal; and calculating information of physical activities covering step count, speed and calories according to the physical activity signal and the physiological signal. In particular, the contactless detection method treats the physiological signal cooperated with the physical activity signal to separate a noise from the physiological signal, so as to generate an ideal physiological signal. Therefore, the physiological information is calculated more accurately according to the ideal physiological signal.

A physiological detection method includes the following steps. A detection portion of a human body is detected to obtain a detection signal. Then, the detection signal is processed to output a digital physiological signal. The digital physiological signal is received to calculate and obtain first information and second information related to feature points thereof. Then, a ratio of the second information to the first information is calculated to obtain a physiological condition index. The digital physiological signal includes pulse waves generated according to a time sequence. The feature points of the digital physiological signal include a wave pulse peak and a foot point located at a forepart of the rising edge of the wave. In addition, a physiological detection device is also introduced.

A physiological detection method includes the following steps. A detection portion of a human body is detected to obtain a detection signal. Then, the detection signal is processed to output a digital physiological signal. The digital physiological signal is received to calculate and obtain first information and second information related to feature points thereof. Then, a ratio of the second information to the first information is calculated to obtain a physiological condition index. The digital physiological signal includes pulse waves generated according to a time sequence. The feature points of the digital physiological signal include a wave pulse peak and a foot point located at a forepart of the rising edge of the wave. In addition, a physiological detection device is also introduced.

A biological information measurement device includes: a pulse wave detection unit that continuously detects pulse waves from a living body; a biological information calculation unit that calculates biological information based on pulse waves detected by the pulse wave detection unit and stores, in a storage medium, biological information calculation results information including said biological information; a storage control unit that stores, in the storage medium, pulse wave detection results information by the pulse wave detection unit in order to calculate biological information included in biological information calculation results information; a measurement efficiency information generation unit that generates measurement efficiency information indicating measurement efficiency for biological information included in biological information calculation results information, generating same based on the biological information calculation results information and pulse wave detection results information; and a control unit that notifies when the measurement efficiency information fulfills a condition.

A biological information measurement device includes: a pulse wave detection unit that continuously detects pulse waves from a living body; a biological information calculation unit that calculates biological information based on pulse waves detected by the pulse wave detection unit and stores, in a storage medium, biological information calculation results information including said biological information; a storage control unit that stores, in the storage medium, pulse wave detection results information by the pulse wave detection unit in order to calculate biological information included in biological information calculation results information; a measurement efficiency information generation unit that generates measurement efficiency information indicating measurement efficiency for biological information included in biological information calculation results information, generating same based on the biological information calculation results information and pulse wave detection results information; and a control unit that notifies when the measurement efficiency information fulfills a condition.

A heart rate monitor includes a magnet supported to move responsive to an arterial pulse and a magnetometer configured to detect changes in a magnetic field produced by the magnet. The magnet can include a plurality of ferromagnetic particles disposed in or on a flexible substrate configured to be held adjacent to human skin subject to arterial palpation and a magnetic sensor configured to sense movement of the ferromagnetic particles.

A heart rate monitor includes a magnet supported to move responsive to an arterial pulse and a magnetometer configured to detect changes in a magnetic field produced by the magnet. The magnet can include a plurality of ferromagnetic particles disposed in or on a flexible substrate configured to be held adjacent to human skin subject to arterial palpation and a magnetic sensor configured to sense movement of the ferromagnetic particles.

Example electronic devices, including but not limited to implantable medical devices, and methods employing dynamic announcing for creation of wireless communication connections are disclosed herein. In an example, an electronic device includes a wireless communication interface to transmit announcement signals for creating a wireless communication connection with the external device. The electronic device also includes a sensor to detect a characteristic of an environment external to the electronic device, and a control circuit including an announcement timing control module to dynamically control timing of the announcement signals based on the detected characteristic.