A61B5/01

METHOD FOR MANUFACTURING A KNITTED FABRIC COMPRISING A VERTICAL YARN FILAMENT

A method for manufacturing a knitted fabric embodying a basic knit, into which at least one functional yarn filament, such as an electrically conductive yarn filament, is incorporated as a vertical yarn filament (F3). The basic knit is formed from a first and a second yarn (F1, F2) using a plaiting technique. The vertical yarn filament (F3) is incorporated by a third yarn carrier (FF3) positioned, on a third yarn carrier rail located between respective yarn carrier rails for the first and the second yarn carriers (FF1, FF2), at a location at which the vertical yarn filament (F3) is to be incorporated. During formation of a sequence of stitch rows (MR1-MR7) using the first and second yarns (F1, F2), the first yarn (F1) is guided over the vertical yarn filament (F3) on a front side of the knitted fabric and the second yarn (F2) is guided over the vertical yarn filament (F3) on a back side of the knitted fabric.

Systems and Methods of Body Temperature Measurement
20180008149 · 2018-01-11 · ·

Systems and methods of body temperature measurement obtain a first temperature from a first temperature sensor. The first temperature sensor is separated from a second temperature sensor by a first insulator. A second temperature is obtained from the second temperature sensor. A heat transfer rate between the first temperature and the second temperature sensor is calculated and a body temperature determined from the heat transfer rate.

Systems and Methods of Body Temperature Measurement
20180008149 · 2018-01-11 · ·

Systems and methods of body temperature measurement obtain a first temperature from a first temperature sensor. The first temperature sensor is separated from a second temperature sensor by a first insulator. A second temperature is obtained from the second temperature sensor. A heat transfer rate between the first temperature and the second temperature sensor is calculated and a body temperature determined from the heat transfer rate.

DETECTION OF PHYSIOLOGICAL DATA USING RADAR/LIDAR OF WIRELESS EARPIECES
20180014113 · 2018-01-11 ·

A system, method, and wireless earpieces for determining the status of the user. Sensor measurements of the user are performed utilizing a radar sensor of the wireless earpieces. The sensor measurements are analyzed. The status of the user is determined utilizing at least the sensor measurements of the radar sensor of the wireless earpieces. An alert is communicated to the user in response to there being a change in the status of the user.

System, method, and computer readable medium for monitoring, tracking, and tracing temperature and humidity under garment
11707195 · 2023-07-25 ·

The invention relates to systems for temperature and humidity monitoring under garments and is characterized by that it contains at least one internal electronic module located under the garment and an external electronic module with sensors for temperature and humidity monitoring, storage devices connected to the electronic modules wirelessly (for example, via Bluetooth), and the receiving device, which provides the user with the possibility to monitor the current temperature and humidity of the observed object.

System, method, and computer readable medium for monitoring, tracking, and tracing temperature and humidity under garment
11707195 · 2023-07-25 ·

The invention relates to systems for temperature and humidity monitoring under garments and is characterized by that it contains at least one internal electronic module located under the garment and an external electronic module with sensors for temperature and humidity monitoring, storage devices connected to the electronic modules wirelessly (for example, via Bluetooth), and the receiving device, which provides the user with the possibility to monitor the current temperature and humidity of the observed object.

Devices and methods for vascular navigation, assessment and/or diagnosis

Devices and methods for vascular navigation, assessment and/or diagnosis are disclosed where a location detection system generally includes an elongate body defining a lumen at least partially along a length of the elongate body. One or more sensors are positioned near or at a distal tip of the elongate body and one or more openings are defined along the elongate body in proximity to the one or more sensors. The one or more openings are configured to control a boundary distance between the one or more sensors and a fluid with a parameter of a known initial value when emitted from the one or more openings. A controller is in communication with the one or more sensors and is configured to track a change in the parameter relating to concentration over the one or more sensors and determine a position of the one or more sensors within a body.

Cell population analysis

A method of analysis using mass spectrometry and/or ion mobility spectrometry is disclosed comprising: (a) using a first device to generate smoke, aerosol or vapour from a target in vitro or ex vivo cell population; (b) mass analysing and/or ion mobility analysing said smoke, aerosol or vapour, or ions derived therefrom, in order to obtain spectrometric data; and (c) analysing said spectrometric data in order to identify and/or characterise said target cell population or one or more cells and/or compounds present in said target cell population.

Autonomy first route optimization for autonomous vehicles

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Autonomy first route optimization for autonomous vehicles

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.