Methods for diagnosing, treating, and monitoring the treatment of invasive aspergillosis (IA) are described. The methods can include detecting the presence of one or more volatile organic compounds (VOCs) in the breath of subjects suspected of having IA.

Methods for diagnosing, treating, and monitoring the treatment of invasive aspergillosis (IA) are described. The methods can include detecting the presence of one or more volatile organic compounds (VOCs) in the breath of subjects suspected of having IA.

Embodiments described herein relate generally to biosensing garments, and in particular, to systems and methods for monitoring respiration in a biosensing garment, whereby an improved integration of the respiration monitoring circuit into the garment is achieved, resulting in improved signal quality and durability. In some embodiments, an apparatus includes an elongate member having a longitudinal axis and configured to be stretchable along its longitudinal axis. The elongate member includes a plurality of elastic members (e.g., a first elastic member, a second elastic member, and a third elastic member) that extend along the longitudinal axis. A conductive member is coupled to the first, second and third members, and forms a “curved” pattern along the longitudinal axis of the elongate member. The conductive member is configured to change from a first configuration to a second configuration as the elongate member stretches along its longitudinal axis.

An electronic system for bioimpedance signal acquisition, comprises: a current signal injection module configured for generating a current signal to be applied to a subject; a bioimpedance signal measurement module configured for measuring a bioimpedance signal based on a voltage generated by the current signal; a data quality detection module configured for detecting an AC or a DC level of the measured bioimpedance signal and detecting whether the AC or DC level is within or outside an AC reference value range and a DC reference value range, respectively; and a signal adaptation module configured for modifying at least one parameter of the current signal injection module or the bioimpedance signal measurement module based on said detection of the AC or DC level in relation to the AC reference value range and the DC reference value range, respectively.

In one embodiment, a monitoring system includes a monitoring device configured to removably attach to a tracheotomy tube, the monitoring device including a skin sensor configured to detect contact with skin of a patient's neck.

A mobile music listening device synchronizing in a personalized way music and movement, and dedicated to improving the kinematics of the runner. Thanks to inertial units connected to a smartphone, the runner's steps are detected in real time by the mobile application. A dedicated algorithm adapts the pulsation of the musical excerpts in such a way as to bring the runner to a suitable cadence, capable of preventing injuries. A method for the synchronization of the rhythmic stimulation with the biological variability using a Kuramoto model characterized in that phase oscillator with a coupling term from the movement dynamics with parameters of, coupling strength, maximum and minimum frequencies for a fraction of the unmodified song frequency, maximum difference between the tempo and target frequency, Target the target frequency.

An example of a system for monitoring and treating respiratory distress in a patient may include signal inputs, a signal processing circuit, and a respiratory distress analyzer. The signal inputs may be configured to receive patient condition signals indicative of autonomic balance of the patient. The signal processing circuit may be configured to process the patient condition signals and to generate patient condition parameters indicative of the autonomic balance using the processed patient condition signals. The respiratory distress analyzer may be configured to determine a state of the respiratory distress using the patient condition parameters, and may include a parameter analysis circuit configured to analyze the autonomic balance of the patient and to determine the state of the respiratory distress using an outcome of the analysis.

Disclosed herein are a group of gastric cancer VOC markers in saliva and an application thereof in the preparation of a diagnostic reagent of gastric cancer. The markers are a combination of compounds selected from the group consisting of acetaldehyde, 2-methylbutyraldehyde, isopropanol, hexanal, n-butanol, cineole, nonanal, menthone, 2-ethylhexanol, menthol, anethole and dodecanol. The diagnostic reagent is used for detecting the contents of the marker in a saliva sample of a subject to perform the diagnosis of gastric cancer.

A breath testing apparatus is provided to test hydrogen sulfide and other parameters in exhaled breath of a patient. A patient sample input for receiving exhaled breath from a patient is provided, in addition to an atmospheric input for receiving atmospheric air. A valve is coupled to said patient sample input and said atmospheric input, and first and second pathways are provided from said valve to a hydrogen sulfide sensor block and a second sensor block.

Systems and methods for intelligently and accurately triaging a patient are provided. The systems and methods access an electronic health record of the patient based on a detection of an event, such as entering an emergency department. Additionally, the systems and methods collect triage vitals of the patient. Further, free-text within the electronic health record is mapped and binned. In response to the mapping and the binning, the systems and methods input features into an acuity level predictor. Based on inputting the features into the acuity level predictor, the systems and methods output an acuity level of the patient for triaging the patient.