Apparatuses for detecting swallowing disorders and methods for using same are provided. In a general embodiment, the apparatuses include a disposable sensor base and a sensor that is received by the disposable sensor base. The sensor base includes a sensor interface having a predetermined cut-away shape and a directionally-keyed mating surface. The sensor includes a handle portion having a shape that corresponds to the predetermined shape of the sensor interface, a support portion configured to be received by the directionally-keyed mating surface when the sensor is inserted into the sensor interface, and electronics configured to collect data sensed by the sensor. The apparatuses of the present disclosure can be attached to a patient's neck to detect and/or diagnose swallowing disorders during a swallowing test.

Certain aspects of the disclosure are directed to an apparatus including a scale and external circuitry. The scale includes a platform, and data-procurement circuitry for collecting signals indicative of the user's identity and cardio-physiological measurements. The scale includes processing circuitry to process data obtained by the data-procurement circuitry, therefrom generate cardio-related physiologic data, and to send user data to the external circuitry. The external circuitry identifies a risk that the user has a condition based on the reference information and the user data provided by the scale and outputs generic information correlating to the condition to the scale that is tailored based on the identified risk.

A method includes generating first electrocardiogram (ECG) data by adding synthetic noise to naturally occurring ECG data using a first deep neural network (DNN). The method further includes providing one of: (i) the first ECG data, or (ii) second ECG data including naturally occurring noise, to a second DNN. An output is generated by the second DNN indicating whether the second DNN received the first ECG data or the second ECG data.

An article of manufacture for providing a CO.sub.2 monitoring smart facemask assembly according to the present invention includes_a CO.sub.2 sensor component having a CO.sub.2 sensor, a serial data connection, and a power connection, a set of connecting wires, and_a controller unit coupled to the CO.sub.2 sensor component by the set of connecting wires. The controller unit includes a programmable microcontroller, the programmable microcontroller receives a measure of a current CO2 value from the CO.sub.2 sensor component, a battery, one or more visual alarm devices; and_an auditory alarm device and an alarm reset button 207. The microcontroller activates the one or more visual alarm devices and the auditory alarm devices when the current CO.sub.2 value is greater than a pre-defined threshold. This warning will ensure safety of the user and an option to shut the alarm off, thereby after the warning has been acknowledged. The one or more visual alarm devices include one or more LEDs and a display device. The display device shows an alpha-numeric representation of the current CO.sub.2 value measured by the CO.sub.2 sensor component.

According to one aspect of the invention, there is provided a method for assessing blood flow regulation performance based on hemodynamics, comprising the steps of: calculating second biometric information corresponding to a time differential of first biometric information on a hemoglobin concentration measured from a cerebral part of a subject; and assessing blood flow regulation performance of the subject with reference to a response that occurs in the second biometric information in correspondence to a change in a posture of the subject.

A personal impact monitoring system is described herein comprising a monitoring station that receives impact events sent from personal impact monitors using a monitoring station receiver. The impact events which specify impact parameters associated with the impact events are stored in a data storage location associated with the monitoring station. Software operating on the operating station is configured to receive the impact events from the data storage location and to perform calculations based on the impact events to identify notable impact events.

An ambulatory medical device comprises: a sensing component to be disposed on a patient for detecting a physiological signal of the patient; and monitoring and self-test circuitry configured for detecting a triggering event and initiating one or more self-tests based on detection of the triggering event. The ambulatory medical device senses the physiological signal of the patient substantially continuously over an extended period of time.

Described herein are methods, devices, and systems that monitor heart rate and/or for arrhythmic episodes based on sensed intervals that can include true R-R intervals as well as over-sensed R-R intervals. True R-R intervals are initially identified from an ordered list of the sensed intervals by comparing individual sensed intervals to a sum of an immediately preceding two intervals, and/or an immediately following two intervals. True R-R intervals are also identified by comparing sensed intervals to a mean or median of durations of sensed intervals already identified as true R-R intervals. Individual intervals in a remaining ordered list of sensed intervals (from which true R-R intervals have been removed) are classified as either a short interval or a long interval, and over-sensed R-R intervals are identified based on the results thereof. Such embodiments can be used, e.g., to reduce the reporting of and/or inappropriate responses to false positive tachycardia detections.

A point-of-care diagnostic system that includes a cartridge and a reader. The cartridge can contain a patient sample, such as a blood sample. The cartridge is inserted into the reader and the patient sample is analyzed. The reader contains various analysis systems, such as an electrophoresis detection system that uses electrophoresis testing to identify and quantify various components of the blood sample. The reader can process data from the various patient sample analysis to provide interpretative results indicative of a disorder, condition, disease and/or infection of the patient.

Devices and methods for generating synthetic cardio-respiratory signals from one or more ballistocardiogram (BCG) sensors. A method for determining item specific parameters includes obtaining ballistocardiogram (BCG) data from one or more sensors, where the one or more sensors capture BCG data for one or more subjects in relation to a substrate. For each subject, the captured BCG data is pre-processed to obtain cardio-respiratory BCG data. The cardio-respiratory BCG data is sub-sampled to generate the cardio-respiratory BCG data at a cardio-respiratory sampling rate conducive to cardio-respiratory signal generation. The sub-sampled cardio-respiratory BCG data is cardio-respiratory processed to generate a cardio-respiratory parameter set. A synthetic cardio-respiratory signal is generated from at least the cardio-respiratory parameter set and a cardio-respiratory event morphology template. A condition of the subject is determined based on the synthetic cardio-respiratory signal.