Disclosed are various embodiments for integrated diffuse correlation spectroscopy. A first control signal can be sent to a switch to cause an integrator to integrate a current from a photodiode. An integrated current can be received from the integrator, and a data signal can be sent to a computing device based at least in part on the integrated current. A second control signal can be sent to a switch to cause the integrator to cease integrating the current from the photodiode.

A pulse diagnosis apparatus includes a base, a bearing and a plurality of sensing module. The base has a motion module. The motion module is disposed on the base and moves back and forward in a first direction. The bearing is disposed on the motion module and includes a first face and a second face. Each sensing module includes a driving element, a flexible element and a sensing unit. The driving element moves in the first direction and passes through the bearing. The driving element includes a first terminal and a second terminal. The first terminal is adjacent to the second face. The second terminal is adjacent to the first face. The flexible element is hitched up the driving element. Two terminals of the flexible element are against the second terminal and the bearing. The sensing unit is disposed on the second terminal.

A feeding analysis system reviews collected feeding data and provides analysis of data regarding nutritive sucking, feeding, and related activity.

The present invention relates to a movement disorder monitor with high sensitivity, and a method of measuring the severity of a subject's movement disorder. The present invention additionally relates to a drug delivery system for dosing a subject in response to the increased severity of a subject's symptoms. The present invention provides for a system and method, which can accurately and repeatably quantify symptoms of movements disorders, accurately quantifies symptoms utilizing both kinetic information and/or electromyography (EMG) data, that can be worn continuously to provide continuous information to be analyzed as needed by the clinician, that can provide analysis in real-time, that allows for home monitoring of symptoms in subject's with these movement disorders to capture the complex fluctuation patterns of the disease over the course of days, weeks or months, that maximizes subject safety, and that provides substantially real-time remote access to data by the clinician or physician.

Embodiments and aspects described herein provide methods and systems for determining pressure difference across a tube arising from fluid flow within the tube, comprising: obtaining three-dimensional time dependent fluid velocity data at a plurality of points along the tube; processing the three-dimensional time dependent fluid velocity data to determine: i) a flow rate (Q) of the fluid through the tube; ii) the kinetic energy (K) of the fluid flow through the tube; iii) an advective energy rate (A) of the fluid flow through the tube; and iv) a viscous dissipation rate (V) pertaining to the fluid flow; and calculating the pressure difference in dependence on all of the flow rate (Q), kinetic energy (K), advective energy rate (A), and viscous dissipation rate (V). Further embodiments are also described.

The present invention relates to a device (100), system (500) and method for determining SpO2 (160) of a subject. Two types of PPG measurements, widefield PPG with a homogenous illumination and/or a spot pattern and radial PPG with a spot illumination, are used to quantify the discrepancy in penetration depths for electromagnetic radiation in the red spectral range and infrared spectral range. This discrepancy in penetration depth is then used to find a more stable ratio signals of ratios, RR, and thus a more accurate SpO2 (160).

A patient support apparatus comprises a plurality of load cells, a frame supported on the load cells, a mattress, a plurality of air pressure sensors, and a control system. The mattress includes a plurality of inflatable zones positioned on the frame, the mattress and frame cooperating to direct any patient load through the mattress and frame to the load cells. Each of the plurality of air pressure sensors measures the pressure in a respective inflatable zone of the mattress. The control system includes a controller operable to receive a separate signal from each of the plurality of load cells and each of the plurality of air pressure sensors and process the signals to identify motion of the patient. The motion of the patient is further processed by the controller to characterize the nature of the patient motion as a high shear motion or a low shear motion, and based on the characterization of the patient motion, the controller automatically updates a patient profile in a patient record or communicates the information with a caregiver.

A control unit (12) and method for deriving a measure of arterial compliance based on an acquired arterial volume variation signal and measured diastolic and systolic blood pressure measurements. An oscillometric blood pressure measurement device is used to obtain a first signal representative of arterial volume variations and to obtain blood pressure measurements. Both are measured as an applied pressure to an artery is varied by the oscillometric blood pressure measurement device. The first signal is processed to compile a dataset of values, ΔV, representative of the change in the arterial volume for set step changes, ΔP, in applied pressure, at different transmural pressure values. This set of values is numerically integrated to derive a function of arterial volume with transmural pressure. This function is differentiated to thereby derive a function of arterial compliance with transmural pressure.

A system (1) for estimating the brain blood volume and/or brain blood flow and/or depth of anesthesia of a patient, comprises at least one excitation electrode (110E) to be placed on the head (20) of a patient (2) for applying an excitation signal, at least one sensing electrode (110S) to be placed on the head (20) of the patient (2) for sensing a measurement signal caused by the excitation signal, and a processor device (12) for processing said measurement signal (VC) sensed by the at least one sensing electrode (110S) for determining an output indicative of the brain blood volume and/or the brain blood flow. Herein, the processor device (12) is constituted to reduce noise in the measurement signal (VC) by applying a non-linear noise-reduction algorithm. In this way a system for estimating the brain blood volume and/or the brain blood flow of a patient is provided which may lead to an increased accuracy and hence more exact estimates.

An injection sensing device (ISD) (e.g., wearable patch) is paired with an external device (e.g., a medication delivery pen and/or smart phone, iPad, computer) via wireless link or wireline connection. The ISD senses fluctuations in local skin temperature during an injection and provides to the external device captured data from the sensor relating to medicine delivery to a patient to ensure complete delivery and minimize MDD misuse or malfunction or inaccuracies in dosing. The ISD or external device can use captured data and corresponding time stamps to determine flow informatics such as flow rate, total dose delivered, and dose completion status. An LED on the ISD indicates delivery in progress and/or delivery completion.