| CPC A61B 5/681 (2013.01) [A61B 5/01 (2013.01); A61B 5/053 (2013.01); A61B 5/11 (2013.01); A61B 5/14542 (2013.01); A61B 5/165 (2013.01); A61B 5/296 (2021.01); A61B 5/369 (2021.01); G16H 20/17 (2018.01)] | 18 Claims |
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1. A system for monitoring, identifying, and remediating patient withdrawal symptoms comprising:
a computational device;
a wearable device having a plurality of sensors for collecting physiological data from a patient, said plurality of sensors each having a patient contact point for obtaining said physiological data from said patient;
said plurality of sensors comprising:
a) a pulse ox LED configured to capture a plurality of light wavelengths absorbed differently by a plurality of oxygenated and deoxygenated hemoglobin molecules from said patient and identify a blood oxygen level recorded as said physiological data;
b) a temperature sensor for determining a body temperature of said patient and recording said body temperature as said physiological data;
c) an accelerometer for determining body movements of said patient and recording a movement value as said physiological data;
d) an electrode configured to measure a skin impedance level of said patient which is recorded as said physiological data; and
e) an electromyography (EMG) electrode configured to track said patient's muscle activity and record a muscle activity level as said physiological data,
wherein each of said plurality of sensors is configured to send said physiological data to the computational device; and
a portable structure separable from said wearable device, said portable structure comprising:
a) a mounting element configured to hold said computational device;
b) a camera for obtaining image data of said patient which is sent to said computational device; and
c) a microphone to record audio data from said patient,
wherein said computational device is configured to:
receive said physiological data, said image data, and said audio data,
determine information indicative of crying from the audio data,
classify the crying as high-pitched when a pitch of the crying surpasses 800 Hz and classify the crying as continuous when a duration of the crying exceeds a time threshold that is less than an hour,
classify the movement value and the muscle activity level as one of mild tremors, marked tremors, myoclonic jerks, or a convulsion,
classify the body temperature as hyperthermia when the body temperature is greater than 38.0° C.,
process the information indicative of the crying and the physiological data including the blood oxygen level, the movement value, the body temperature, the skin impedance level, and the muscle activity level through an artificial intelligence algorithm that is configured to score the physiological data and the information indicative of the crying based on trained classifications corresponding to withdrawal symptoms,
the high-pitched classified crying being assigned a greater weight than the crying that is less than 800 Hz, and the continuous classified crying being assigned a greater weight than crying that has a duration that is less than the time threshold, and
the mild tremors being assigned a greater weight than the marked tremors, the myoclonic jerks being assigned a greater weight than the mild tremors, and the convulsion being assigned a greater weight than the myoclonic jerks,
receive a dosage of medication for a treatment protocol for the patient,
determine an adjustment to the dosage of the medication for the treatment protocol for the patient using the scoring of the physiological data and the information indicative of the crying, and
cause a treatment delivery device to operate according to the adjustment to the dosage of the medication for the treatment protocol.
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