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AI Biotech/Diagnostics: Other Innovation
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Patent US10524719
Issued 2020-01-07
System And Method For Identification Of Neuro-cardiological Disturbances
A system for identification of one or more neuro-cardiological disturbances of a subject in a post-acute stroke treatment and in the intensive care setting is provided. The system includes a wearable device configured for capturing data associated with a neural and heart activity. The wearable device includes a first electrode and a second electrode configured for measuring an electrical activity of a heart to generate a first signal. The wearable device also includes an accelerometer configured for detecting and acquiring neural accelerometry data to generate a second signal. Moreover, the system includes a processor with a memory. The memory stores a plurality of modules to be executed by the processor and wherein the plurality of modules are configured to receive the first and the second signal from the wearable device, combine the first signal and the second signal to generate an output signal, display the output signal, wherein the output signal is a graphical representation of a time-series data depicting one or more frequencies of the neural and heart activity and identify one or more neuro-cardiological disturbances based on the displayed output signal.
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- 1. A system for monitoring a post-acute stroke subject for identifying one or more neuro-cardiological disturbances in the subject, the system comprising:
a wearable device configured for capturing data associated with a neural activity and a heart activity, wherein the wearable device comprises:
a first electrode and a second electrode configured for measuring an electrical activity of the subject's heart to generate a first signal representative of an ECG signal; and
an accelerometer configured for detecting and acquiring motor accelerometry data of the subject for generating a second signal; and
a processor with a memory, wherein the memory stores a plurality of modules for execution by the processor, and wherein the plurality of modules is configured for:
receiving the first and the second signal from the wearable device;
splitting the second signal into its predefined constituent frequency bands using a filter bank;
combining the first signal and one or more constituent bands of frequencies of the second sound signal using a higher-level data augmentation based on at least one of a Bayesian process and a machine learning process, to generate one or more output signals;
and
identifying one or more neuro-cardiological disturbances based on the one or more output signals.
- 11. A method for monitoring a post-acute stroke subject for identifying one or more neuro-cardiological disturbances in a subject, the method comprising:
capturing data associated with a neural activity and heart activity of the subject in a post-acute stroke treatment, wherein steps for capturing data associated with the neural and heart activity comprise:
measuring an electrical activity of a heart to generate a first signal representative of an ECG signal; and
detecting and acquiring motor accelerometry data of the subject to generate a second signal;
receiving the first and the second signal;
splitting the second signal into its predefined constituent frequency bands using a filter bank;
combining the first signal and one or more constituent bands of frequencies of the second sound signal using a higher-level data augmentation based on at least one of a Bayesian process and machine learning process, to generate one or more output signals;
and
identifying one or more neuro-cardiological disturbances based on the one or more output signals.
