A measurement station includes an electrocardiogram acquisition system, two control electrodes configured to contact a user, and an electrical connection circuit, the electrical connection circuit comprising a feedback loop connected to the two control electrodes.

One aspect of the apparatus comprising, a sensor configured to acquire a biological signal of a user, and a controller configured to, determine whether the biological signal is continuously outside a predetermined range for a first time period, after determining that the biological signal has been continuously outside the predetermined range for the first time period, then determine whether the biological signal is inside the predetermined range, and activate an alarm if the controller has determined that (i) the biological signal has been outside the predetermined range for the first time period, and (ii) the biological signal has been continuously inside the predetermined range for a second time period, the second time period being longer than the first time period.

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.

In some embodiments, an electric field generator includes a differential oscillator that oscillates at a nominal frequency. The electric field generator is connected to a differential antenna that radiates an electric field. A differential detector measures a frequency of the generated electric field as the electric field interacts with a body (such as a human body) in a reactive near-field region of the electric field. For each of one or more internal components of the body, a computation unit determines a respective periodic behavior in the measured frequency indicative of movement of the internal component. The computation unit also computes, for each of the one or more internal components of the body, a respective rate of movement (such as a heart rate or a respiration rate) of the internal component according to the respective periodic behavior in the measured frequency.

In some embodiments, an electric field generator generates an electric field at a nominal frequency and a nominal amplitude. The electric field generator is connected to an antenna that radiates the electric field. A detector measures a frequency and an amplitude of the generated electric field as the electric field interacts with a body (such as a human body) in a reactive near-field region of the electric field. For each of one or more internal components of the body, a computation unit determines a respective periodic behavior in the measured frequency corresponding to movement of the internal component. The computation unit also computes, for each of the one or more internal components, a respective rate of the movement of the internal component based on the determined respective periodic behavior in the measured frequency. A gain control circuit adjusts the nominal amplitude according to the measured amplitude.

The present invention relates to a medical device, in particular to an implantable medical device, comprising at least one implantable or non-implantable hemodynamic sensor configured for detecting hemodynamic cardiac signals, a controller configured for processing and analyzing the detected cardiac hemodynamic signals or signals derived from the detected cardiac hemodynamic signals by applying to said signals a Teager Energy Operator (TEO). The controller further comprises at least one algorithm configured to determine the need for a defibrillation operation by taking into account the at least one output hemodynamic signal. The present invention also provides a method and software for detecting or treating a ventricular fibrillation episode by taking into account cardiac hemodynamic signals.

A method, intended for the evaluation of the quality of at least one periodic or quasi-periodic physiological signal, which includes the steps of: segmenting the physiological signal temporally into a plurality of signal segments; for each given signal segment, determining a distance representative of a shape difference between the given signal segment and at least one signal segment temporally offset relative to the given signal segment; and determining a quality index of the given signal segment according to the distance determined for the given signal segment.

A sensor system may have a force sensor formed from a piezoelectric film. The piezoelectric film may comprise a number of tuned microstructures that are configured to resonate at a particular frequency. In accordance with the tuning of the microstructures, frequency signals corresponding to the microstructure resonance may be mechanically amplified before being processed by associated processing electronics. The processing electronics may be configured to identify a type of biological vibration detected by the force sensor.

In some embodiments, an electric field generator generates an electric field at a nominal frequency. A detector measures, at multiple time points during a measuring period, one or more properties of the generated electric field. In various embodiments, the one or more properties of the electric field change over time due to interactions with a human body in a reactive near-field region of the electric field. From the measured one or more properties, a computation unit determines one or more periodic behaviors (such as a respiration or heartbeat) and one or more non-periodic behaviors (such as movement of a limb). The computation unit also computes, from at least one of the periodic and non-periodic behaviors, one or more physiological parameters of the human body. From the one or more physiological parameters, the computation unit detects one or more symptoms of a condition of the human body.

A pressure support system for providing pressure support therapy to a patient, the pressure support device includes an airflow generator structured to generate a flow of breathing gas to the patient, a temperature conditioning unit structured to adjust a temperature of the breathing gas provided to the patient, and a processing unit structured to estimate a core body temperature of the patient for selected times of day based on one or more inputs and to control the temperature conditioning unit to adjust temperature of the breathing provided to the patient at the selected times of day based on the estimated core body temperatures of the patient.