Claims:We Claim:
1. A system for detection of respiratory disorders using human voice comprising of:
a. web based interface (storage system) for providing respiratory disorder related information;
b. a software application for setting protocols for patients;
c. an electronic device such as smart phone in which software application has to be installed;
d. a sensor for sensing information corresponding to respiratory organ;
e. a processor for processing the sensed information and delivering electrical stimulating pulses to the associated body organ ;
f. accelerometer for determining physical activity of the patient, overall respiratory activity and patterns; and
g. Stimulator for sensing the nerve activity of the diaphragm.
wherein the software application is installed in the electronic device and by using web based interface, users can consult with the trainers which can be recorded voice trainers;
2. A system as claimed in claim 1 wherein, the electronic device can be a smart device such as a smartphone, tablet, laptop etc.,
3. A system as claimed in claim 1 wherein, the software application is powered with artificial intelligence technology having voice detection and virtual assistant feature, which is used for setting protocols for detecting level of respiratory disorder the patient id suffering with.
4. The method used for detecting the level of respiratory disorders comprising:
a. Installation of the software application in the electronic device;
b. Registration of the user with the software application;
c. recording of the voice through call or Google talk;
d. detecting the voice command by voice detection feature;
e. converting the voice command to text format;
f. sensing information corresponding to respiratory organ;
g. processing the sensed information and delivering electrical stimulating pulses to the associated body organ;
h. determining physical activity of the patient, overall respiratory activity and patterns;
i. sensing the nerve activity of the diaphragm; and
j. detecting the level of respiratory disorder.
, Description:Technical field of the Invention
The present invention relates to the systems and methods used to manage the data related to the health related standards. More particularly, the present invention relates to a system and method for detection of respiratory disorders using artificial intelligence.
Background of the Invention:
Respiratory disease encompasses pathological conditions affecting the organs and tissues that make gas exchange difficult in air-breathing animals. The respiratory diseases include trachea, bronchi, bronchioles, alveoli, pleurae, pleural cavity, bacterial pneumonia, and asthma and lung cancer. These diseases affect the airways that carry oxygen and other gases into and out of the lungs. These diseases are diagnosed with the help of Biopsy of the lung, blood tests, Bronchoscopy, chest X rays, Ct scan, culture of microorganisms from secretions, pulmonary function test, ventilation-perfusion scan.
Disordered breathing may contribute to a number of adverse cardiovascular outcomes such as hypertension, stroke, congestive heart failure, myocardial infarction. Sleep related breathing disorders have been found to have a high prevalence in patient’s .It is also believed that relieving sleep related breathing disorder may improve cardiovascular outcomes in patients with heart failure.
Pulmonary edema is a condition in which there is excess fluid in the lungs and often found in heart failure patients and leads to hyperventilation and hyperoxia.
Pulmonary function tests include spirometry which involves patient breathing through a mouthpiece to measure the amount of air inhaled and exhaled; a body plethysmography test which enables doctors to assess lung volume by measuring the pressure in a booth in which the patient is sitting and breathing through a mouthpiece; and a diffusion capacity test ,which tests how well a patient’s lungs are able to transfer oxygen and carbon dioxide to and from the bloodstream by testing the efficiency of the alveoli. Results from these tests give doctors important information about the functioning of the lungs, but do not tell them what is wrong with the patient. This requires interpretation of the results in order to reach a diagnosis.
Pulmonary function tests provide an extensive series of numerical outputs and their patterns can be hard for human eye to perceive and recognize. It is easy for computers to manage large quantities of data.
Voice recognition systems find the identity of speaker by analysing certain features in voice. Such systems are employed by medical professionals in creating medical reports, correspondence, and documentation, secure and effective exchange of patient data such as initial evaluation, daily notes, lab results, patient reports, discharge information, referral notes, visit summaries and e-health records.
From a patient’s perspective, clinic visits are time consuming and costly and these problems are exacerbated by inadequate patient-doctor interaction time. There is enormous number of health care apps but most of the apps are underused, with limited approach for user engagement, having limited benefits derived from the app.
So there is a need for artificial intelligence based method and system for detection of pulmonary disorders and respiratory diseases based on human voice.
Objects of the Invention:
An object of the present invention is to provide a process and a system for detection of respiratory disorders using human speech.
Another object of the present invention is to record voice of an individual automatically which is used for detection of respiratory disorders.
Other objects and benefits of the present invention will be more apparent from the following description, which is not intended to bind the scope of the present invention.
Summary of the invention:
The present embodiment is a process and a system for detection of respiratory disorders using recorded human speech. A system for detection of respiratory disorders using human voice comprising of web based interface (storage system) for providing respiratory disorder related information; a software application for setting protocols for patients; and an electronic device such as smart phone in which software application has to be installed; a sensor for sensing information corresponding to respiratory organ; a processor for processing the sensed information and delivering electrical stimulating pulses to the associated body organ ;accelerometer for determining physical activity of the patient, overall respiratory activity and patterns and a stimulator for sensing the nerve activity of the diaphragm.
Detailed Description of the Invention
The present invention is a process and a system for detecting respiratory disorders using human voice. Voice of an individual to detect the level of respiratory disorders such as asthma, wheezing, where the mobile phone automatically records the voice of an individual while the individual takes a call or talks to Google etc. and the recorded voice sample is used for detection of respiratory disorders.
In one aspect, the present invention provides a system for analysing breathing disorders by sensing the respiratory parameters of the diaphragm and stimulating an associated body organ to control movement of the diaphragm and thus manage respiration.
The present invention works as follows.
A sensor is provided for sensing information corresponding to respiratory organ;
A processor for processing the sensed information and delivering electrical stimulating pulses to the associated body organ or tissue based on sensed information. It also determines when to cease stimulation by determining when the body resumes normal respiratory function.
A number of different parameter are programmed into the processor to determine certain breathing disorders and when and how to stimulate respiration, and when to stop stimulation.
Position sensors are used for determining degree of patient reclining. Information from position sensor may be used as a tool to match respiratory activities. Accelerometer information is used to determine regarding physical activity of the patient. E.g. compare to the respiratory patterns and collect data on related patient activities respiratory activities and create a treatment plan based thereon. It determines overall respiratory activity and patterns.
A stimulator is provided for sensing the nerve activity of the diaphragm.
In another aspect, self-management module is provided. It communicates the information with the patient based. All the information related to various respiratory disorders can be downloaded. This good quality of data can be stored to train the AI. The doctors were able to correctly diagnose a disease .It can empower doctors to make interpretation and diagnosis easier, faster and better. The AI based software has superior performance and may provide a powerful tool to improve current clinical practice.
AI can provide the highest standards of PFT interpretation and patients can have the best and affordable diagnostic experience.

Advantages of the invention:
The present invention can empower doctors to make interpretation and diagnosis of the respiratory diseases easier, faster and better. AI enables doctors to make decisions based on combination of many different factors.AI will augment doctor’s abilities to accomplish more and decrease chances for errors and redundant work.
The present invention provides the highest standards of PFT interpretation and patients can have the best and affordable diagnostic experience. So there is a need to use this technology in more hospitals.