METHODS AND SYSTEMS FOR DETERMINING A PHYSIOLOGICAL OR BIOLOGICAL STATE OR CONDITION OF A SUBJECT
The present disclosure provides methods, devices, and systems for determining a state or condition of a subject. A method for determining a state or condition of a heart of a subject may include using a monitoring device comprising a plurality of sensors comprising an electrocardiogram (ECG) sensor, an audio sensor, and other sensors to measure data including ECG data and audio data from an organ of the subject and transmitting the data wirelessly to a computing device. A trained algorithm may be used to process the data, such as the ECG data, the audio data, and other data to determine the state or condition of the organ of the subject. More specifically, the trained algorithm can be customized for a specific indication or condition. An output indicative of the state or condition of the heart of the subject may be provided on the computing device or monitoring device.
1 . A method for determining a state or condition of an organ or organ system of a subject, comprising:
using a monitoring device comprising an electrocardiogram (ECG) sensor, an audio sensor, and one or more sensors for measuring a signal that is different from ECG data or audio data to measure said ECG data, said audio data, and said signal from said organ or organ system of said subject;
using a trained algorithm to process said ECG data, said audio data, and said signal to determine said state or condition of said organ or organ system of said subject; and
providing an output indicative of said state or condition of said organ or organ system of said subject on a computing device.
2 . The method of claim 1 , further comprising transmitting said ECG data, said audio data, and said signal wirelessly to said computing device.
3 . The method of claim 1 , wherein said monitoring device is a mobile device.
4 . The method of claim 1 , wherein said computing device is a mobile device.
5 . The method of claim 1 , wherein said computing device is part of a cloud system.
6 . The method of claim 1 , wherein said ECG data, said audio data, and said signal are transmitted in a common packet.
7 . The method of claim 1 , wherein providing said output indicative of said state or condition of said organ or organ system of said subject comprises a determining a presence or absence of a low ejection fraction of a left ventricle of a heart of said subject.
8 . The method of claim 1 , wherein said one or more sensors for measuring said signal that is different from said ECG data or said audio data comprises an accelerometer.
9 . The method of claim 8 , wherein said signal comprises a motion of said monitoring device computed using acceleration from the accelerometer, and wherein using said trained algorithm to process said ECG data, said audio data, and said signal to determine said state or condition of said organ or organ system of said subject comprises:
processing said ECG data and said audio data via said trained algorithm responsive to the motion of the monitoring device being less than or equal to a motion threshold; and
not processing said ECG data and said audio data via said trained algorithm responsive to the motion of the monitoring device being greater than the motion threshold.
10 . The method of claim 9 , further comprising:
transmitting said audio data to a listening device with an audio gain; and
reducing the audio gain responsive to the motion of the monitoring device being greater than the motion threshold.
11 . The method of claim 1 , wherein said signal that is different from said ECG data or said audio data comprises an intrathoracic impedance measurement.
12 . The method of claim 11 , wherein said intrathoracic impedance measurement is measured by a same set of electrodes as said ECG data.
13 . A method for determining a state or condition of a subject, comprising:
recording electrocardiogram (ECG) data, audio data, and motion data via sensors of a monitoring device;
receiving the ECG data, the audio data, and the motion data from the monitoring device in real-time;
processing the received ECG data and the received audio data via an analysis algorithm responsive to the received motion data being less than or equal to a threshold; and
not processing the received ECG data and the received audio data via the analysis algorithm responsive to the motion data being greater than the threshold.
14 . The method of claim 13 , wherein the sensors of the monitoring device include an accelerometer, and the motion data is determined from acceleration measured by the accelerometer.
15 . The method of claim 14 , wherein processing the received ECG data and the received audio data via the analysis algorithm responsive to the received motion data being less than or equal to the threshold comprises:
determining an orientation of the monitoring device based on the acceleration measured by the accelerometer; and
determining a vector of the received ECG data based on a waveform of the received ECG data and the determined orientation of the monitoring device.
16 . The method of claim 13 , further comprising:
transmitting the audio data to a listening device in real-time with a first, higher audio gain responsive to the motion data being less than or equal to the threshold; and
transmitting the audio data to the listening device in real-time with a second, lower audio gain responsive to the motion data being greater than the threshold.
17 . The method of claim 13 , wherein the analysis algorithm is a cloud-based algorithm trained to determine the state or condition of the subject based on the received ECG data and the received audio data.
18 . A system for determining a state or condition of a subject, comprising:
a communications interface configured to wirelessly communicate with a monitoring device, said monitoring device comprising an electrocardiogram (ECG) sensor, an audio sensor, and at least one other sensor for measuring data from said subject; and
a cloud computing network operatively coupled to said communications interface, wherein said cloud computing network is programmed to:
receive said data wirelessly from said communications interface in real-time;
use a trained algorithm to process said data to determine said state or condition of said subject in real-time; and
provide an output indicative of said state or condition of said subject for display on a user interface in real-time.
19 . The system of claim 18 , wherein said ECG sensor comprises a plurality of electrodes, and wherein said plurality of electrodes are configured to measure both ECG data and intrathoracic impedance data from said subject.
20 . The system of claim 18 , wherein said at least one other sensor comprises an accelerometer, and wherein said cloud computing network is further programmed to:
determine which ECG vector is measured by said ECG sensor using knowledge of an orientation of the monitoring device determined from data measured by the accelerometer.