Methods, systems, and devices are disclosed for characterizing the gastrointestinal functions using non-invasive surface recordings from EGG. In one aspect, a system for non-invasively characterizing gastrointestinal functions is disclosed. The system includes electrodes configured to capture a gut electrophysiology recording; and a processor to estimate a frequency and an amplitude of the recording across time.

A swallowing sensor device includes a sensor unit comprising a sensor and a device that wirelessly transmits information detected by the sensor and a board group formed by stacking a plurality of rigid boards. The board group includes a fist rigid board on which one part of the sensor unit is mounted, a second rigid board on which other part of the sensor unit except for the one part of the sensor unit is mounted, and a third rigid board being disposed between the first rigid board and the second rigid board and comprising a through-hole drilled thereon, the through-hole being configured to electrically connecting the one part and the other part.

The invention relates to a device and an according method for hybrid optoacoustic and ultrasonographic imaging of an object (1), comprising an irradiation unit (2, 3) for irradiating the object (1) with electromagnetic radiation, in particular light, and a transducer unit (4) comprising a plurality of transducer elements (5), the transducer elements (5) being configured to emit ultrasound waves impinging on the object (1) and to detect ultrasound waves which are reflected and/or transmitted by the object (1) upon impinging on the object (1), and to detect ultrasound waves which are generated in the object (1) upon irradiation with electromagnetic radiation, wherein the transducer elements (1) are arranged along a curved line, in particular a concave line, or a curved surface, in particular a concave surface.

A method for forecasting an environmental event/a type of environmental event includes acquiring at least one test data set of at least one behavioural and/or physiological parameter of a population of animals; generating a test profile based on said at least one test data set, representing behaviour and/or physiological status of the population of animals; calculating a ratio between the test profile and a first reference profile; and setting an alert, if said ratio reaches a predefined threshold value.

The number n of times of chewing is counted by chewing number of times calculation means (13b.sub.2) based on a change in the distance l from a photorefiector (50), which is received together with time t by measurement value receiving means (13b.sub.1). To vary hardness h of a bag (30) to a stage that can be sensed, according to the number n of times of chewing, a required air pressure is set according to the current number n of times, based on a hardness/air pressure correspondence recording unit (13g) in which stages that have a significant difference therebetween and are stored in association with the number n of times of chewing are recorded. To realize the set air pressure inside the bag (30), the amount of sucking performed using a vacuum pump 20 is controlled by air pressure control means (13b.sub.4).

A method of data collection of stool data via a mobile device operable to enable monitoring of gastrointestinal function. A related method of long-term monitoring of patient gastrointestinal function, using one or more signal processing tools (e.g. machine learning algorithms) for automatically interpreting patient stool data, including real-time patient-assessments, in order to detect an adverse clinical event from patient stool data. A system for facilitating real-time monitoring the gastrointestinal function, the system comprising: a camera on a mobile device, a user interface that facilitates self-monitoring of stool characteristics, so as to create health-monitoring data; mobile device storage, server storage, and remote storage (with at least one communication link between them) for storing some or all of the health-monitoring data; and a processor for interpreting such health-monitoring data for clinical or other health-monitoring application.

The disclosed electrical stimulation system generates interventions to assist patients in complying with a diet. The wearable device includes a microprocessor, electrical stimulator and at least one electrode configured to deliver electrical stimulation to the epidermis, through a range of 0.1 mm to 10 mm or a range of 0.1 mm to 20 mm of the dermis, of a T2 dermatome to a T12 dermatome or meridian of the patient, a C5 to a T1 dermatome across the hand and/or arm, and/or the upper chest regions. The device is adapted to provide electrical stimulation as per stimulation protocols and to communicate wirelessly with a companion control device configured to monitor and record appetite patterns of the patient and generate interventions. The control device is also configured to monitor, record, and modify stimulation parameters of the stimulation protocols.

A method, apparatus, and system for delivering an optical sensor. A capsule is placed into a tube system, wherein an optical fiber is stored within the capsule. The capsule is moved through the tube system. The optical fiber is unfurled as the capsule travels through a tube system. Optical signals are sent through the optical fiber from a proximal end of the optical fiber. Response optical signals occurring in response to the optical signals sent through the optical fiber are detected. Sensor data is transmitted based on the response optical signals detected by the optical system.

Disclosed are methods and medical device systems for automated delivery of therapies for pain and determination of need for and safety of treatment. In one embodiment, such a medical device system may comprise a sensor configured to sense at least one body signal from a patient; and a medical device configured to receive a first sensed body signal from the sensor; determine a patient pain index based at least in part on said first sensed body signal; determine whether said patient pain index is above at least a first pain index threshold; determine a safety index based at least in part on a second sensed body signal; select a pain treatment regimen based on at least one of said safety index and or a determination that said pain index is above said first pain index threshold; and deliver said pain treatment regimen.

Methods of image analysis of large intestine contents for diagnosis and treatment are provided. Methods include introducing water controllably into a patient's large intestine, draining, by gravity and using a transparent drainage pipe, the introduced water with contents of the patient's large intestine, capturing images of the drained contents, optically through the transparent drainage pipe, and analyzing the captured images to extract diagnostic parameters therefrom. In addition, samples of the drained contents may be stored to form a stool bank and microbiome characteristics may be derived to suggest corresponding microbiota transplants.