Vein thromboembolism (VTE) risk assessment system
AssigneeAcorai AB
InventorFilip Ludwig Peters
Life of this patent
Estimating the term…
Abstract
A vein thromboembolism (VTE) risk assessment system that includes a casing having a shape adapted to secure a plurality of components with the casing. The casing includes a microphonic sensor, a Photoplethysmography (PPG) sensor, an Inertial Measurement Unit (IMU) sensor, a diaphragm, and a microcontroller. The microphonic sensor captures VTE audio signals indicative of the VTE risk of the user. The PPG sensor measures blood volume changes in a skin area in response to venous hemodynamic changes in a lower limb. The IMU sensor captures seismic signals indicative of the VTE risk of the user. The diaphragm enhances auscultation signals. The microcontroller transmits data to a computing device.
Claims30
A vein thromboembolism (VTE) risk assessment system, the VTE risk assessment system comprising:
- a handheld electronic device (HEI) with a casing having a shape adapted to secure a plurality of components with said casing comprising:
- a microphonic sensor to capture audio signals from a user's body indicative of a VTE risk of the user;
- a Photoplethysmography (PPG) sensor configured to measure blood volume changes in a skin area in response to venous hemodynamic changes in a lower limb;
- an Inertial Measurement Unit (IMU) sensor to capture seismic signals indicative of the VTE risk of the user;
- a diaphragm to enhance auscultation signals;
- and
- a microcontroller to transmit data received from the microphonic sensor, the PPG sensor, and the IMU sensor to a computing device, wherein the computing device is configured to:
- receive, in one or more temporal windows, a representation of data from one or more of the following:
- the IMU sensor, the PPG sensor signals, and the microphonic sensor signals;
- detect features from at least one or more portions of the received representations of data that fall within each of the one or more temporal windows;
- identify patterns in the detected features based on one or more of the following models:
- a classification model and a regression model;
- and
- using the identified patterns, calculate, a probability of whether the identified patterns corresponds to the VTE risk of the user.
A vein thromboembolism (VTE) risk assessment system for use with a handheld electronic device (HED), the VTE risk assessment system comprising:
- a HED with a casing having a shape adapted to secure the HED with the casing;
- a plurality of electrodes comprising:
- a first ECG electrode placed on an outer surface of the casing;
- and
- a second ECG electrode and a third electrode placed on each side of the casing to facilitate a thumb and fingers of a user to be placed on the casing having the shape that is adapted to secure the HED, wherein the plurality of electrodes are configured to capture data indicative of a VTE risk of the user;
- and
- a circuit board electrically connected with the plurality of electrodes, wherein the circuit hoard comprises:
- a microphonic sensor to capture VTE one or more audio signals indicative of the VTE risk of the user;
- a diaphragm to enhance auscultation signals;
- a Photoplethysmography (PPG) sensor configured to measure blood volume changes in a skin area in response to venous hemodynamic changes in a limb;
- an Inertial Measurement Unit (IMU) sensor to capture seismic and auscultation signals indicative of the VTE risk of the user, wherein the MU sensor comprises an IMU sensor signal-enhancing material to amplify seismic and auscultation signals;
- and
- a microcontroller to transmit data indicative of the VTE risk of the user received from the plurality of electrodes, the microphonic sensor, the PPG sensor, and the IMU sensor to at least one of the following the HED and a computing device, wherein the computing device is configured to:
- receive, in one or more temporal windows, a representation of one or more of the IMU sensor, the plurality of electrodes, the PPG sensor, and the microphonic sensor signal recorded by the casing;
- detect features of the IMU sensor, the PPG sensor, and the microphonic sensor from at least one or more portions of the received representations falling within each of the one or more temporal windows;
- identify patterns of the features of respective sensors from within the one or more portions based on at least a classification model or a regression model;
- and
- calculate, basis the identified patterns, a probability of whether the one or more portions corresponds to a problem with the VTE risk of the user.
Dependencies are inferred from the claim text.