Non-invasive sensor fusion and a1 technology for human vital measurement
AssigneeBluesemi Research & Development Privated Limited
InventorSUNIL KUMAR MADDIKATLA
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Abstract
The present disclosure relates to a non-invasive sensing system for measuring key body vitals. The system includes a sensing device to generate a pre-processed signal in response to the lights reflected by the fingertips of a user. The pre-processed signal is received by a client application for extracting features using a pre-trained artificial intelligence (AI) based model to accurately measure at least six key body vitals including blood glucose, blood sugar (HBA1C), electrocardiogram (ECG), heart rate, blood oxygen level (SPo2), blood pressure, and body temperature. The system also includes a user interface, of the client application, to receive a request for the measured key body vitals and to output the measured key body vitals.
Claims16
A non-invasive sensing system for measuring key body vitals, said system comprising:
- a sensing device comprising a top glass configured to receive a touch of a fingertip of a user, wherein the sensing device includes:
- a light emitting unit mounted underneath the top glass, said light emitting unit comprising two sets of light emitting diodes to emit two different wavelengths into the fingertip of the user when the user places the fingertip on the top glass;
- a photodetector, mounted underneath the top glass, to receive the light reflected from the fingertip and convert the light into a Photoplethysmography (PPG) signal;
- an elementary filter configured to cooperate with the photodetector to receive the PPG signal, filter the PPG signal to remove noise frequencies that are not containing information about the key body vitals, and generate a denoised signal;
- a pre-processing module to receive the denoised signal from the elementary filter, wherein the denoised signal is obtained as a matrix of signals (n×7), wherein said matrix of signals includes 3000 data samples with a sampling frequency of 100 samples per second and a sampling period of 30 seconds, and wherein said pre-processing module is configured to pre-process the denoised signal to generate a pre-processed signal;
- and a communication module coupled to the pre-processing module to transmit the pre-processed signal;
- a client application, executed by a processor on a computing device, to receive the pre-processed signal for extracting features using a pre-trained artificial intelligence (AI) based model to accurately measure at least six key body vitals including blood glucose, blood sugar (HBA1C), electrocardiogram (ECG), heart rate, blood oxygen level (SPo2), blood pressure, and body temperature;
- and
- a user interface, of the client application, to receive a request for the measured key body vitals and to output the measured key body vitals.
A method for operating a non-invasive sensing system for measuring key body vitals, said method comprising:
- receiving, by the top glass of a sensing device, a touch of a fingertip of a user;
- emitting, by a light emitting unit mounted underneath the top glass with two sets of light emitting diodes, two different wavelengths into the fingertip of the user when the user places the fingertip on the top glass;
- receiving, by a photodetector mounted underneath the top glass, the light reflected from the fingertip so as to convert the reflected light into a Photoplethysmography (PPG) signal;
- receiving the PPG signal by an elementary filter configured to cooperate with the photodetector;
- filtering, by the elementary filter, the PPG signal to remove noise frequencies that are not containing information about the key body vitals for generating a denoised signal;
- receiving, by a pre-processing module, the denoised signal from the elementary filter, wherein the denoised signal is obtained as a matrix of signals (n×7), wherein said matrix of signals includes 3000 data samples with a sampling frequency of 100 samples per second and a sampling period of 30 seconds;
- pre-processing, by the pre-processing module, the denoised signal to generate a pre-processed signal;
- transmitting the pre-processed signal by a communication module coupled to the pre-processing module;
- receiving, by a client application executed by a processor on a computing device, the pre-processed signal for extracting features using a pre-trained artificial intelligence (AI) based model to accurately measure at least six key body vitals including blood glucose, blood sugar (HBA1C), electrocardiogram (ECG), heart rate, blood oxygen level (SPo2), blood pressure, and body temperature;
- and
- outputting, by a user interface of the client application, the measured key body vitals in response to a request received from the user.
Dependencies are inferred from the claim text.