The present disclosure relates to a cardiorespiratory analysis system that includes, in at least one embodiment, a conformal patch with a compressible viscoelastic interface and an array of sensors, including, but not limited to a photoplethysmography (PPG) sensor, a 3-axis accelerometer, and an electrocardiogram (ECG) sensor. In at least one embodiment, the system includes a microcontroller wired to the array of sensors. According to at least one embodiment, the system uses computing techniques to derive features from the array of sensors and determines one or cardiorespiratory characteristics of a patient based on the derived features.

The present disclosure relates to a cardiorespiratory analysis system that includes, in at least one embodiment, a conformal patch with a compressible viscoelastic interface and an array of sensors, including, but not limited to a photoplethysmography (PPG) sensor, a 3-axis accelerometer, and an electrocardiogram (ECG) sensor. In at least one embodiment, the system includes a microcontroller wired to the array of sensors. According to at least one embodiment, the system uses computing techniques to derive features from the array of sensors and determines one or cardiorespiratory characteristics of a patient based on the derived features.

Systems and method for monitoring patient physiological data are presented herein. In one embodiment, a physiological sensor and a mobile computing device can be connected via a cable or cables, and a processing board can be connected between the sensor and the mobile computing device to conduct advanced signal processing on the data received from the sensor before the data is transmitted for display on the mobile computing device.

Systems and method for monitoring patient physiological data are presented herein. In one embodiment, a physiological sensor and a mobile computing device can be connected via a cable or cables, and a processing board can be connected between the sensor and the mobile computing device to conduct advanced signal processing on the data received from the sensor before the data is transmitted for display on the mobile computing device.

A second device comprises at least one ADC. The ADC(s) are configured to receive a composite analog signal. The composite analog signal comprises a plurality of modulated signals. Each signal in the modulated signals has been modulated to a distinct center frequency. Each signal in the modulated signals has originated from a sensor. At least two of the signals in the modulated signals comprise a plurality of frequency components. The ADC(s) are configured to convert the modulated signals into a digital signal. The second device comprises at least one control unit. The control unit(s) are configured to receive the digital signal. The control unit(s) are configured to perform: band pass filtering, frequency demodulation, and extraction of the signals sensed by the sensors.

A second device comprises at least one ADC. The ADC(s) are configured to receive a composite analog signal. The composite analog signal comprises a plurality of modulated signals. Each signal in the modulated signals has been modulated to a distinct center frequency. Each signal in the modulated signals has originated from a sensor. At least two of the signals in the modulated signals comprise a plurality of frequency components. The ADC(s) are configured to convert the modulated signals into a digital signal. The second device comprises at least one control unit. The control unit(s) are configured to receive the digital signal. The control unit(s) are configured to perform: band pass filtering, frequency demodulation, and extraction of the signals sensed by the sensors.

Electrode array for monitoring of physiological parameters and devices including or utilizing same, the electrode array including an active electrode configured to provide an electrical signal and at least two inactive electrodes configured to collect the electrical signal transferred from the active electrode, wherein each of the at least two inactive electrodes are positioned at a different predetermined distance from the active electrode.

A system for controlling blood pressure includes a wearable interface having an internal contact surface, the wearable interface configured to at least partially encircle a first portion of a first limb of a subject, a sensing module carried by the wearable interface and configured to determine at least a change in blood pressure of the first limb of the subject, and an energy application module carried by the wearable interface and configured to apply energy of two or more types to the first limb of the subject.

A system for controlling blood pressure includes a wearable interface having an internal contact surface, the wearable interface configured to at least partially encircle a first portion of a first limb of a subject, a sensing module carried by the wearable interface and configured to determine at least a change in blood pressure of the first limb of the subject, and an energy application module carried by the wearable interface and configured to apply energy of two or more types to the first limb of the subject.

Embodiments disclosed herein relate to devices and methods for monitoring one or more physiological parameters of a subject. In an embodiment, a wearable device comprises a substrate configured to be attached to a subject's skin. The substrate comprises a middle portion arranged between two end portions. The wearable device also comprises a physiological sensor. The physiological sensor is configured to sense a physiological signal of the subject when the wearable device is attached to the subject's skin. And, the wearable device comprises one or more electrical components arranged on at least one of the end portions, wherein at least one of the one or more electrical components is coupled to the physiological sensor.