A system for monitoring gas composition in a surgical cavity during an endoscopic surgical procedure includes an gas recirculation system including a main gas flow circuit for fluid communication with a surgical cavity. The system includes a sensor for monitoring a gas species in a gas flow from a surgical cavity of a patient. The sensor is positioned in a channel branching off from the main gas flow circuit coming from the surgical cavity.

A server apparatus 10 is communicably connected to a terminal apparatus 20 that collects sensor data from an odor sensor 40. The server apparatus 10 includes an analyzer holding unit 11 that holds a plurality of analyzers for analyzing specific odor analysis targets, based on sensor data, an analyzer management unit 12 that determines preprocessing to be performed on the sensor data, by selecting an analyzer according to the environment of the odor sensor 40, and causes the terminal apparatus 20 to execute the preprocessing, an analysis execution unit 13 that executes analysis processing of the designated odor analysis target, by applying the selected analyzer to the preprocessed sensor data, and an analysis result transmission unit 14 that transmits information indicating a result of the analysis processing to the terminal apparatus 20.

A method of detecting a seizure includes collecting volatile organic compounds with a collector material of a collector; separating a mixture of the volatile organic compounds into its constituent chemicals with a gas chromatography column; ionizing the constituent chemicals to create ionized chemicals and detecting the ionized chemicals; and analyzing the ionized chemicals to identify seizure-indicative volatile organic compounds.

A method of analysis using mass spectrometry and/or ion mobility spectrometry is disclosed. The method comprises: using a first device to generate smoke, aerosol or vapour from a target comprising or consisting of a microbial population; mass analysing and/or ion mobility analysing said smoke, aerosol or vapour, or ions derived therefrom, in order to obtain spectrometric data; and analysing said spectrometric data in order to analyse said microbial population.

According to a present invention embodiment, at least one sensor detects one or more gases emanating from one or more pathogens in a wound that produce an infection. The at least one sensor includes sensing materials that change one or more properties in response to a presence of the one or more gases. At least one processor analyzes information from the at least one sensor to identify the one or more pathogens and determine a presence of the infection in the wound. The one or more pathogens are identified based on patterns of changes of the one or more properties indicating corresponding pathogens. The at least one sensor may be disposed within one of a wearable device, a portable device, and a wound dressing. In addition, a negative pressure source may be utilized to apply negative pressure to the wound to promote healing.

Embodiments herein include gas sampling catheters, systems and related methods. In an embodiment, a gas sampling catheter is included. The catheter can include a catheter shaft having a proximal end and a distal end, the catheter shaft defining a lumen therein. The catheter can include a gas sampling port providing fluid communication between the exterior of the catheter shaft adjacent the distal end of the lumen of the catheter shaft. The catheter can further include a sensor element disposed in fluid communication with the lumen, the sensor element configured to detect a component of a gaseous sample. The sensor element can include a first measurement zone comprising a plurality of discrete binding detectors. Other embodiments are also included herein.

In a combination invasive and non-invasive bioparameter monitoring device an invasive component measures the bioparameter and transmits the reading to the non-invasive component. The non-invasive component generates a bioparametric reading upon insertion by the patient of a body part. A digital processor processes a series over time of digital color images of the body part and represents the digital images as a signal over time that is converted to a learning vector using mathematical functions. A learning matrix is created. A coefficient of learning vector is deduced. From a new vector from non-invasive measurements, a new matrix of same size and structure is created. Using the coefficient of learning vector, a recognition matrix may be tested to measure the bioparameter non-invasively. The learning matrix may be expanded and kept regular. After a device is calibrated to the individual patient, universal calibration can be generated from sending data over the Internet.

A method is disclosed comprising providing a biological sample on a swab, directing a spray of charged droplets onto a surface of the swab in order to generate a plurality of analyte ions, and analysing the analyte ions.

A wearable health monitoring device includes a band configured to attach the wearable health monitoring device to a user's body; a VOC detection device configured to collect and analyze volatile organic compounds given off from the user's skin to identify specific health-indicative volatile organic compounds indicative of a health condition; and a biomarker sensor configured to detect a biomarker of the user.

A method is disclosed comprising providing a biological sample on a swab, directing a spray of charged droplets onto a surface of the swab in order to generate a plurality of analyte ions, and analysing the analyte ions.