The present disclosure describes systems, apparatus, and methods for collecting biometric data from a patient. In some cases, this biometric data can be collected during the course of an emergency encounter using a medical device. The medical device can also perform other functions, such as monitor patient vital signs, receive and record notes and textual information, communicate with other devices, and/or deliver a therapeutic treatment. The medical device can also be configured to record and/or maintain a patient record, and to embed the patient biometric data into the patient record for use in later confirming and/or determining an identity of the patient. Some embodiments can also collect biometric data relating to one or more caregivers of the patient, and to embed the caregiver biometric data into the patient record. This caregiver biometric data can be used to confirm and/or identify one or more caregivers in a patient record.

A breathing biofeedback device, having a microphone configured to acquire sounds of a user's breathing; a controller communicatively connected with the microphone, the controller processing the signals acquired by the microphone to produce an output signal, the controller processing the signal whereby the microphone signal is first pre-amplified to a voltage level that can be processed by an audio envelope detector circuit, the envelope detector signal is then fed into the analog-to-digital converter input of the controller allowing it to constantly sample the input volume level, the controller then controlling the output volume level fed to the headphones utilizing a digitally controlled variable-gain amplifier, wherein the output signal is not modified in any manner from the original input, except in volume; and a pair of earphones connected with the controller and configured to convey the output signal to the user.

Systems and methods for reconstructing heart sounds from heart sound samples taken under a sub-optimal condition, such as at a low sampling rate, are discussed. An exemplary system receives acceleration information from a patient sensed at a first sampling rate, and generate a heart sound ensemble of portions of acceleration information over multiple cardiac cycles. The system can reconstruct a heart sound segment to have a second sampling rate, higher than the first sampling rate, using the generated heart sound ensemble. A heart sound metric can be generated using the reconstructed heart sound segment, and used for detecting a cardiac event, such as a cardiac arrhythmia episode, or a worsening heart failure event.

A physiological signal processing system/method for a physiological waveform that includes a cardiovascular signal component provides a first variable high pass filter that is responsive to the physiological waveform, and to a first corner frequency that is applied. A second variable high pass filter is responsive to a noise reference waveform from a noise reference sensor and is configured to high pass filter the noise reference waveform in response to a second corner frequency that is applied. A heart rate metric extractor is responsive to the variable high pass filters and is configured to extract a heart rate metric from the physiological waveform that is high pass filtered. A corner frequency adjuster is responsive to the heart rate metric extractor and is configured to determine the corner frequencies that are applied to the variable high pass filters, based on the heart rate metric that was extracted.

A physiological signal processing system/method for a physiological waveform that includes a cardiovascular signal component provides a first variable high pass filter that is responsive to the physiological waveform, and to a first corner frequency that is applied. A second variable high pass filter is responsive to a noise reference waveform from a noise reference sensor and is configured to high pass filter the noise reference waveform in response to a second corner frequency that is applied. A heart rate metric extractor is responsive to the variable high pass filters and is configured to extract a heart rate metric from the physiological waveform that is high pass filtered. A corner frequency adjuster is responsive to the heart rate metric extractor and is configured to determine the corner frequencies that are applied to the variable high pass filters, based on the heart rate metric that was extracted.

Systems and methods for assessing a patient's risk of renal dysfunction are described. A system may include sensor circuits to sense physiological signals and processors to generate signal metrics from the physiological signals. The system may generate a primary renal risk indication using a first signal metric, and a secondary renal risk indication using at least a second signal metric. The system may generate a composite renal risk indication and estimate a glomerular filtration rate or a chronic kidney disease stage using at least the primary and secondary risk indications. The composite renal risk indication, which indicative of a degree of renal dysfunction, may be presented to a clinician, or provided to a detector for detecting worsening heart failure.

Systems and methods for assessing a patient's risk of renal dysfunction are described. A system may include sensor circuits to sense physiological signals and processors to generate signal metrics from the physiological signals. The system may generate a primary renal risk indication using a first signal metric, and a secondary renal risk indication using at least a second signal metric. The system may generate a composite renal risk indication and estimate a glomerular filtration rate or a chronic kidney disease stage using at least the primary and secondary risk indications. The composite renal risk indication, which indicative of a degree of renal dysfunction, may be presented to a clinician, or provided to a detector for detecting worsening heart failure.

Upon using a stethoscope, there is a problem that it had been needed to interrupt work and mount the stethoscope using both hands, resulting in poor work efficiency. Also, when it is needed to repeatedly mount and unmount the stethoscope for such as a group examination, for example, it had been necessary to continuously carry out an operation of expanding ear tubes many times, which is complicated. Thus the present invention provides an attachment for a stethoscope comprising a mounting part which can be mounted to both of ear tubes, and a manipulating part for manipulating the mounting part, the manipulating part and the mounting part being connected through a rotatable fulcrum, so that the mounting part may be opened and closed by opening and closing operation of the manipulating part.

Upon using a stethoscope, there is a problem that it had been needed to interrupt work and mount the stethoscope using both hands, resulting in poor work efficiency. Also, when it is needed to repeatedly mount and unmount the stethoscope for such as a group examination, for example, it had been necessary to continuously carry out an operation of expanding ear tubes many times, which is complicated. Thus the present invention provides an attachment for a stethoscope comprising a mounting part which can be mounted to both of ear tubes, and a manipulating part for manipulating the mounting part, the manipulating part and the mounting part being connected through a rotatable fulcrum, so that the mounting part may be opened and closed by opening and closing operation of the manipulating part.

A method and system for determining blood pressure are disclosed. The method comprises determining a plurality of heart sounds using a microphone of a handheld device and determining a pulse wave using a camera of the handheld device, wherein the plurality of heart sounds and the pulse wave are utilized to determine the blood pressure. The system includes a processor, a memory device coupled to the processor, and an application coupled to the memory device. The system further comprises a microphone coupled to the processor, wherein the microphone is utilized to determine a plurality of heart sounds and a camera coupled to the processor, wherein the camera is utilized to determine a pulse wave, further wherein the application, when executed by the processor, causes the processor to determine the blood pressure using the plurality of heart sounds and the pulse wave.