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US 12,763,204 B2Granted
Patient monitoring using artificial intelligence assistants
AssigneeMatrixCare, Inc.
InventorSamia Sadeque Alam
Life of this patent
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Abstract
Embodiments herein include methods and a device to track and monitor a patient's condition over time to detect a change in a patient condition (including cognitive decline) using personal artificial intelligence (AI) assistant devices. The present embodiments use functionalities of the assistant devices by engaging with a monitored patient and tracking changes in a patient's condition overtime using various learning models to detect changes in the patient's speech, mood, and other conditions.
Claims14
A method, comprising:
- at regular time intervals, transmitting, via an audio-controlled Artificial Intelligence (AI) assistant device, conversation questions to a patient, wherein the audio-controlled AI assistant device is activated by a cue phrase;
- in response to the conversation questions at a first time interval of the regular time intervals, capturing, via the audio-controlled AI assistant device, first audio from an environment;
- detecting first utterances from the first audio for the patient comprising a first set of answers to the conversation questions from the patient;
- adding the first utterances to a language tracking model;
- in response to the conversation questions at a second time interval of the regular time intervals, capturing, via the audio-controlled AI assistant device, second audio from the environment;
- detecting second utterances from the second audio for the patient comprising a second set of answers to the conversation questions from the patient;
- adding the second utterances to the language tracking model;
- detecting, via audio associated with the first utterances and the second utterances stored in the language tracking model, a change in voice tone of the patient comprising comparing changes between the first set of answers and the second set of answers;
- associating the change in the voice tone with at least one predefined tone change indicator;
- detecting via a language tracking engine provided by the audio-controlled AI assistant device, the language tracking model, and the at least one predefined tone change indicator, a condition change indicating a condition of the patient has changed from the first time interval to the second time interval;
- generating a condition notification comprising the condition change;
- and
- in response to the condition change:
- activating one or more supplemental sensors to identify whether the patient is experiencing an emergency, wherein at least one of the one or more supplemental sensors is a camera;
- and
- collecting sensor data from the activated one or more supplemental sensors to verify the emergency.
13 more elements
A non-transitory computer-readable storage medium comprising computer-readable program code that, when executed using one or more computer processors, performs an operation comprising:
- at regular time intervals, transmitting, via an audio-controlled Artificial Intelligence (AI) assistant device, conversation questions to a patient, wherein the audio-controlled AI assistant device is activated by a cue phrase;
- in response to the conversation questions at a first time interval of the regular time intervals, capturing, via the audio-controlled AI assistant device, first audio from an environment;
- detecting first utterances from the first audio for the patient comprising a first set of answers to the conversation questions from the patient;
- adding the first utterances to a language tracking model;
- in response to the conversation questions at a second time interval of the regular time intervals, capturing, via the audio-controlled AI assistant device, second audio from the environment;
- detecting second utterances from the second audio for the patient comprising a second set of answers to the conversation questions from the patient;
- adding the second utterances to the language tracking model;
- detecting, via audio associated with the first utterances and the second utterances stored in the language tracking model, a change in voice tone of the patient comprising comparing changes between the first set of answers and the second set of answers;
- associating the change in the voice tone with at least one predefined tone change indicator;
- detecting via a language tracking engine provided by the audio-controlled AI assistant device, the language tracking model, and the at least one predefined tone change indicator, a condition change indicating a condition of the patient has changed from the first time interval to the second time interval;
- generating a condition notification comprising the condition change;
- and
- in response to the condition change:
- activating one or more supplemental sensors to identify whether the patient is experiencing an emergency, wherein at least one of the one or more supplemental sensors is a camera;
- and
- collecting sensor data from the activated one or more supplemental sensors to verify the emergency.
13 more elements
An audio-controlled Artificial Intelligence (AI) assistant device comprising:
- one or more computer processors;
- and
- a memory containing a program which when executed by the computer processors performs an operation comprising:
- at regular time intervals, transmitting, via the audio-controlled AI assistant device, conversation questions to a patient, wherein the audio-controlled AI assistant device is activated by a cue phrase;
- in response to the conversation questions at a first time interval of the regular time intervals, capturing, via the audio-controlled AI assistant device, first audio from an environment;
- detecting first utterances from the first audio for the patient comprising a first set of answers to the conversation questions from the patient;
- adding the first utterances to a language tracking model;
- in response to the conversation questions at a second time interval of the regular time intervals, capturing, via the audio-controlled AI assistant device, second audio from the environment;
- detecting second utterances from the second audio for the patient comprising a second set of answers to the conversation questions from the patient;
- adding the second utterances to the language tracking model;
- detecting, via audio associated with the first utterances and the second utterances stored in the language tracking model, a change in voice tone of the patient comprising comparing changes between the first set of answers and the second set of answers;
- associating the change in the voice tone with at least one predefined tone change indicator;
- detecting via a language tracking engine provided by the audio-controlled AI assistant device, the language tracking model, and the at least one predefined tone change indicator, a condition change indicating a condition of the patient has changed from the first time interval to the second time interval;
- generating a condition notification comprising the condition change;
- and
- in response to the condition change:
- activating one or more supplemental sensors to identify whether the patient is experiencing an emergency, wherein at least one of the one or more supplemental sensors is a camera;
- and
- collecting sensor data from the activated one or more supplemental sensors to verify the emergency.
16 more elements
Dependencies are inferred from the claim text.