A device and method of using the device to detect the presence and composition of clots and other target objects in a circulatory vessel of a living subject is described. In particular, devices and methods of detecting the presence and composition of clots and other target objects in a circulatory vessel of a living subject using in vivo photoacoustic flow cytometry techniques is described.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

One variation of the method for managing blood loss of a patient includes: receiving an image of a physical sample; extracting a feature from an area of the image corresponding to the physical sample; estimating a blood volume indicator of the physical sample according to the extracted feature; estimating a patient blood loss based on the blood volume indicator; estimating a euvolemic patient hematocrit based on an estimated patient blood volume and the estimated patient blood loss; receiving a measured patient hematocrit; and generating a volemic status indicator based on a comparison between the measured patient hematocrit and the estimated euvolemic patient hematocrit.

Devices, systems, and methods for eliminating noise in non-invasive biological interrogation techniques may be described herein. A method may include taking a first set of measurements over a time period. The first set of measurements may be indicated by an electronic signal. The first set of measurements may correspond to a physiological characteristic of a subject. A change in the physiological characteristic of the subject may correspond to a change in a blood constituent of the subject. The method may include: taking a second set of measurements over the time period; correlating the first and second sets of measurements, wherein the correlating removes noise from the electronic signal; sectioning out the electronic signal; calculating an amplitude difference between two or more sections of the electronic signal; and determining a change in the amount of the blood constituent based on the difference.

Methods for monitoring patient parameters and blood fluid removal system parameters include identifying those system parameters that result in improved patient parameters or in worsened patient parameters. By comparing the patient's past responses to system parameters or changes in system parameters, a blood fluid removal system may be able to avoid future use of parameters that may harm the patient and may be able to learn which parameters are likely to be most effective in treating the patient in a blood fluid removal session.

An electronic fitness device comprises a first optical transmitter, an optical receiver, and a processing element. The first optical transmitter is configured to transmit a first optical signal and a second optical signal. The optical receiver is configured to receive the first and optical signals and to generate first and second photoplethysmogram (PPG) signals resulting from the received optical signals. The processing element is configured to control the first optical transmitter to transmit the first optical signal the second optical signal, receive the first and second PPG signals from the optical receiver and compare them, identify a common cardiac component present in the first and the second PPG signals based on the comparison, determine a signal filter parameter based on the common cardiac component, and generate first and second cardiac components from the first and second PPG signals, respectively, based on the signal filter parameter.

Techniques and apparatuses for determining an estimated cardiac output for a patient during dialysis treatment are described. In one embodiment, for example, an apparatus may include a memory and logic coupled to the memory. The logic may be configured to determine an upper body oxygen consumption for a patient, determine, during a dialysis process: a hemoglobin concentration and a venous oxygen saturation measured via an optical blood monitor operably coupled to an extracorporeal circuit of a dialysis system performing the dialysis process,; an arterial oxygen saturation measured via a pulse oximeter operably coupled to the extracorporeal circuit; an arterial-venous oxygen content difference based on the arterial oxygen saturation and the venous oxygen saturation; and an upper body blood flow (UBBF) as (upper body oxygen consumption)/(arterial-venous oxygen content difference), and determine a treatment recommendation based on the upper body blood flow. Other embodiments are described.

A smartphone-based hemoglobin (Hgb) assessment application quantitatively analyzes pallor in patient-sourced photos using image analysis algorithms to enable a noninvasive, accurate quantitative smartphone app for detecting anemia. A user takes a photo of his/her fingernail beds using the app and receives an accurate displayed Hgb level. Since fingernails do not contain melanocytes, the primary source of color of these anatomical features is blood Hgb. At the same time, quality control software minimizes the impact of common fingernail irregularities (e.g. leukonychia and camera flash reflection) on Hgb level measurement. Metadata recorded upon capturing the image is leveraged for determining a users' Hgb level thereby eliminating the need for external equipment. A personalized calibration of image data with measured Hgb levels improves the accuracy of the application.

A system includes a sensor, a second connector, a local processor, a first telemetry module, a second telemetry module, and a remote processor. The sensor is coupled to a cord and the cord has a first connector. The second connector is coupled to a housing. The second connector is configured to mate with the first connector. The local processor is coupled to the second connector and disposed in the housing. The local processor is configured to execute instructions stored in a local memory. The local memory is disposed in the housing. The local processor is configured to generate calculated data based on a signal received at the second connector. The signal corresponds to a parameter measured by the sensor. The first telemetry module is coupled to the local processor and is configured to wirelessly communicate the calculated data. The second telemetry module is configured to communicate with the first telemetry module. The remote processor is coupled to the second telemetry module. The remote processor is configured to generate output data based on the calculated data.

An electronic fitness device comprises a first optical transmitter, an optical receiver, and a processing element. The first optical transmitter is configured to transmit a first optical signal and a second optical signal. The optical receiver is configured to receive the first and optical signals and to generate first and second photoplethysmogram (PPG) signals resulting from the received optical signals. The processing element is configured to control the first optical transmitter to transmit the first optical signal the second optical signal, receive the first and second PPG signals from the optical receiver and compare them, identify a common cardiac component present in the first and the second PPG signals based on the comparison, determine a signal filter parameter based on the common cardiac component, and generate first and second cardiac components from the first and second PPG signals, respectively, based on the signal filter parameter.