Foley type catheter embodiments for sensing physiologic data from a urinary tract of a patient are disclosed. The system includes the catheter and a data processing apparatus and methods for sensing physiologic data from the urinary tract. Embodiments may also include a pressure sensor having a pressure interface at a distal end of the catheter, a pressure transducer at a proximal end, and a fluid column disposed between the pressure interface and transducer. When the distal end is residing in the bladder, the pressure transducer can transduce pressure impinging on it into a chronological pressure profile, which can be processed by the data processing apparatus into one or more distinct physiologic pressure profiles, for example, peritoneal pressure, respiratory rate, and cardiac rate. At a sufficiently high data-sampling rate, these physiologic data may further include relative pulmonary tidal volume, cardiac output, relative cardiac output, and absolute cardiac stroke volume.

Foley type catheter embodiments for sensing physiologic data from a urinary tract of a patient are disclosed. The system includes the catheter and a data processing apparatus and methods for sensing physiologic data from the urinary tract. Embodiments may also include a pressure sensor having a pressure interface at a distal end of the catheter, a pressure transducer at a proximal end, and a fluid column disposed between the pressure interface and transducer. When the distal end is residing in the bladder, the pressure transducer can transduce pressure impinging on it into a chronological pressure profile, which can be processed by the data processing apparatus into one or more distinct physiologic pressure profiles, for example, peritoneal pressure, respiratory rate, and cardiac rate. At a sufficiently high data-sampling rate, these physiologic data may further include relative pulmonary tidal volume, cardiac output, relative cardiac output, and absolute cardiac stroke volume.

The present disclosure provides a microfluidic device and system for measuring a composite electropharyngeogram (EPG) signal from a pool of multiple nematodes, wherein the composite EPG signal is measured from the pool of nematodes present in a single recording channel connected to two or more integrated electrodes. The microfluidic device includes an inlet port and outlet port directly connected to a single recording channel and two or more electrodes directly connected to the recording channel. The recording channel is configured to hold 10 to 10,000 nematodes.

System and methods for acquiring and processing myoelectrical data from the gastrointestinal tract of a patient are provided. In various embodiments, the systems and methods monitor the motor activity of a patient recovering from surgery to detect a resumption in gastrointestinal motility. In some embodiments, the systems and methods enable proper post-operative ileus in the patient. In some embodiments, the systems and methods allow researchers or clinicians to determine the efficacy of one or more therapies intended to encourage gastrointestinal motility. In some embodiments, the systems and methods enable clinicians to predict and facilitate the proper timing of discharge from a healthcare facility following surgery.

Embodiments of a method for removal and replacement of artifacts in electrophysiological data from muscular activity in the gastrointestinal tract of a patient are disclosed. The approach includes setting an artifact identification threshold based on the parameters of the data, assessing the full extent of the artifact in time, and replacing the values with ones that are neutral in the time series and minimizing the effect on a power spectrum of the data. More particularly, the method includes steps of identifying artifacts within the raw time series data, eliminating the identified artifacts, and replacing the artifacts with any of interpolated points or constant value points to create a clean time series data set representing valid gastrointestinal tract EMG signals.

Embodiments of a method for removal and replacement of artifacts in electrophysiological data from muscular activity in the gastrointestinal tract of a patient are disclosed. The approach includes setting an artifact identification threshold based on the parameters of the data, assessing the full extent of the artifact in time, and replacing the values with ones that are neutral in the time series and minimizing the effect on a power spectrum of the data. More particularly, the method includes steps of identifying artifacts within the raw time series data, eliminating the identified artifacts, and replacing the artifacts with any of interpolated points or constant value points to create a clean time series data set representing valid gastrointestinal tract EMG signals.

A system and method for profiling electrical activity in smooth muscle of the gastrointestinal tract muscular of a patient are disclosed. The system includes electromyographic-sensing patches adapted for placement on the skin of the abdomen of the patient. Each patch has at least one bipolar electrode pair, or a multitude arranged in an array, and is enabled for communication of a signal indicative of a sensed electromyographic signal. The system further includes networked computing devices. The local patch device is configured for wireless communication between the EMG-sensing patches and a local computing device, to enable wireless transmission from the patch to the networked computing devices. The networked computing device is configured to process large aggregate collections of multi-hour or day signals received from the local computing device to yield diagnostically valuable physiological parameters of gastrointestinal smooth muscle electrical activity.

Embodiments of a method for removal and replacement of artifacts in electrophysiological data from muscular activity in the a gastrointestinal tract of a patient are disclosed. The approach includes setting an artifact identification threshold based on the parameters of the data, assessing the full extent of the artifact in time, and replacing the values with ones that are neutral in the time series and minimizing the effect on a power spectrum of the data. More particularly, the method includes steps of identifying artifacts within the raw time series data, eliminating the identified artifacts, and replacing the artifacts with any of interpolated points or constant value points to create a clean time series data set representing valid gastrointestinal tract EMG signals.

Disclosed are devices, systems and methods for monitoring electrophysiological function from anatomical structures, including gastric slow-waves in high resolution electrogastrograms. In some aspects, a device includes an electrophysiological sensor structured to include an array of electrodes spatially arranged on a substrate and operable to acquire electrophysiological signals to obtain time-series data, the electrodes spaced about an anatomical structure on the subject's body with at least one electrode placed with reference to an anatomical landmark and other electrodes of the electrode array each placed at a spatial distance from another of the surface electrodes; and a data processing unit to process spatially resolved time-series data based on the electrophysiological signals to determine wave propagation parameters including direction and/or speed for each time point of interest of the acquired electrophysiological signals, in which the wave propagation parameters are associated with a physiological function of the anatomical structure of the subject's body.

An aspect of the invention described herein includes a method for a digestion diagnosis of a subject. The method includes obtaining electrogastrogram (EGG), bowel sound and NIRS signals from one or more sensors positioned about an abdominal region of a subject, removing artifacts from the signals to obtain conditioned signal data, and determining a digestion condition or feeding readiness of the subject based at least in part on the conditioned signal data.