FIELD OF THE INVENTION
The instant invention relates to the field of healthcare. In particular, the current disclosure relates to a system and method for investigating hypertension or vascular related health issues so that an appropriate treatment/medication option can be chosen well in advance. The system employs artificial intelligence/machine learning based tool to detect various symptoms associated with heart/blood circulatory system of human body and predicts its risk factors in more reliable, expedient, cost effective, and user-friendly way.

BACKGROUND OF THE INVENTION
Hypertension is a commonly found heart problem in all most everywhere in the world in middle or old aged group of people (probably after 4o years). In hypertension the blood flows with high force against the artery walls. Hypertension conditions can be caused due to various reasons such as unhealthy lifestyle, diabetes, obesity etc.

Parallelly, the circulatory system (blood vessels) of the human body gets affected causing various heart problems. The symptom may include numbness/weakness/heaviness in muscles, wound healing issues, chest burning/pain, varicose veins, thickened/opaque toenails etc.

Conventionally, the heart specialists manually examine various medical reports and past medical history of the patients before prescribe any medication. However, such examination/testing involves substantial cost and time-consuming process. Of course, experienced medical practitioners are required to conduct such testing/investigation. Therefore, a need arises to come up with an automatic health diagnostic system which can detect the hypertension/vascular diseases well in advance to take precautionary steps. Many researchers and innovators have proposed few hypertension/vascular diseases treatment related system. A list of prior arts as far as known to the applicants is elaborated herein below.

US8449471B2 elaborates a heart monitoring appliance/system that uses wireless sensor nodes to pick up signals from wearable appliance. However, there is no neural network-based disease prediction mechanism.

US10512407B2 elaborates a heart rate data collection system that employs a light detector circuit and voltage signal reading mechanism. However, this system fails predict address particular hypertension/vascular related issues.

US10722128B2 elaborates a computerized eyewear configured to read the wearer's heart rate using optical sensors embedded in the eyewear temple. However, this system does not appear to be effective in case chronic conditions.

US20150057512A1 elaborates for acquiring electrical footprint of human heart, electrocardiogram, heart rate, heart sound, nasal airflow, and pulse oximetry incorporated into a mobile device accessory. However, this system fails predict address particular hypertension/vascular related issues.

In view of above limitations, there is a further need to develop an advance technique/mechanism for investigation of hypertension/vascular diseases. The system employs artificial intelligence based predictive tool to ameliorate the hypertension/vascular health issues.

However, all the existing health/heart monitoring system and method have certain limitations with respect to finding accuracy level of hypertension examination, a further desire arises to come up with an improved method and system which would in turn address variety of heart issues including but not limited to, elimination of manual interference of heart examination, prediction of heart failure risk possibility in more reliable, transparent, expedient and cost-effective way. Moreover, it is required to invent a system and method for investigating hypertension or vascular related health issues so that an appropriate treatment/medication option can be chosen, which will cover all the advantages/benefits of the conventional/existing techniques/methodologies and overcome the deficiencies/disadvantages of such techniques/methodologies.

OBJECT OF THE INVENTION
It is an objective of the proposed technology to eliminate manual examination of heart related issues.

It is another objective of the proposed technology to automate the diagnosis of hypertension and vascular associated disorders.

It is one more objective of the proposed technology to determine various possibility of heart failure caused due to hypertension and vascular associated disorders.

It is a further objective of the current invention to develop a system and method for investigating hypertension or vascular related health issues so that an appropriate treatment/medication option can be chosen.

SUMMARY OF THE INVENTION
In one embodiment or aspect, the proposed framework provides a system for investigating hypertension or vascular related health issues so that an appropriate treatment/medication option can be chosen. The system comprises a patient wearable device; a signal analyser; and a health monitoring device. The patient wearable device is adapted to read one or more electrical/optical signals associated with the hypertension/vascular related health conditions. The signal analyser is adapted to analyse the electrical/optical signals as read by the human wearable device. The health monitoring device is adapted to show results/outcomes of the signal analysis. More particularly, the signal analyser comprises a convolutional neural network engine embedded therein configured to: identify vital biological signals generated by heart/blood circulatory anatomy of the patient; categorise the biological signals into healthy/unhealthy groups according to a set of symptom parameters associated with the heart/blood circulatory anatomy of the patient; computing risk levels of affecting the patient’s health condition for the unhealthy group; transmit the unhealthy group results/outcomes with the corresponding risk level to be shown in the health monitoring device; and predict one or more options of treatment to be recommended on a screen of the health monitoring device.

In other embodiment/aspect, the proposed invention provides method for investigating hypertension or vascular issues. The method comprises steps of: reading, by a patient wearable device, a plurality of electrical/optical signals associated with the hypertension/vascular related health conditions; transmitting the electrical/optical signals to a signal analyser that is wirelessly coupled to a health monitoring device in a wireless network to show results/outcomes of the signal analysis; identifying, by a convolutional neural network engine embedded in the signal analyser, vital biological signals generated by heart/blood circulatory anatomy of the patient; categorising, by the convolutional neural network engine, the biological signals into healthy/unhealthy groups according to a set of symptom parameters associated with the heart/blood circulatory anatomy of the patient; computing, by the convolutional neural network engine, risk levels of affecting the patient’s health condition for the unhealthy group; transmitting, by the convolutional neural network engine, the unhealthy group results/outcomes with the corresponding risk level to be shown in the health monitoring device; and predicting, by the convolutional neural network engine, one or more options of treatment to be recommended on a screen of the health monitoring device.

Other embodiment/aspect, benefits, and noticeable features of the proposed disclosure becomes clear to the skilled artisans from the following detailed description, that delineate the present invention in different embodiments.

BRIEF DESCRIPTION OF DRAWINGS
The multiple features, embodiments or aspects, and technical effects of the proposed system and method may become better understood when the following detailed description is read with reference to the accompanying figures or drawings.

Fig. 1 is a schematic diagram illustrating various components of the system for investigating hypertension or vascular issues, according to an exemplary embodiment of the present disclosure.

Fig. 2 shows various method steps employed for investigating hypertension or vascular issues, according to an exemplary embodiment of the present disclosure.

LIST OF REFERENCE NUMERALS
100 Patient wearable device
200 Signal analyser
300 Health monitoring device

DETAILED DESCRIPTION OF THE INVENTION
Multiple embodiments discussed herein are intended only for explanatory purpose and subject to many variations. It may be noted that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient; however, are intended to include/cover the application or implementation without departing from the scope of the proposed system and method. Also, it is may be noted that the phraseology and terminology used herein is for the purpose of explanation and should not be considered as limiting.

The use of words “including,” “comprising,” or “having” and variations thereof herein are meant to encompass the items listed thereafter and equivalents thereof as well as additional items. Moreover, the words “an” and “a” herein do not denote a limitation of quantity; however, rather indicate the presence of at least one of the referenced items. Furthermore, the words “at least one” and “one or more” herein are used to indicate one minimum number of components/features to be essentially proposed in the invention.

According to an aspect of the current disclosure, as shown in Fig. 1, system for investigating hypertension or vascular related health issues so that an appropriate treatment/medication option can be chosen is depicted. The system comprises a patient wearable device (100); a signal analyser (200); and a health monitoring device (300). The patient wearable device (100) is adapted to read one or more electrical/optical signals associated with the hypertension/vascular related health conditions. The signal analyser (200) is adapted to analyse the electrical/optical signals as read by the human wearable device (100). The health monitoring device (300) is adapted to show results/outcomes of the signal analysis.

According to an exemplary aspect of the current invention, the signal analyser (200) comprises a convolutional neural network engine embedded therein configured to carry out the steps in an order to: identify vital biological signals generated by heart/blood circulatory anatomy of the patient; categorise the biological signals into healthy/unhealthy groups according to a set of symptom parameters associated with the heart/blood circulatory anatomy of the patient; computing risk levels of affecting the patient’s health condition for the unhealthy group; transmit the unhealthy group results/outcomes with the corresponding risk level to be shown in the health monitoring device (300); and predict one or more options of treatment to be recommended on a screen of the health monitoring device (300). Further, the system is configured to update database of the convolutional neural network engine.

According to an exemplary aspect of the current invention, the health monitoring device (300) include a memory, a processor, and input/output units. health monitoring device (300) may be selected from a group consisting of computers, tabloids, laptops, and smartphones or like devices.

According to an exemplary aspect of the current invention, the neural network engine may be developed using one or more data/information collected from various medical database.

According to an exemplary aspect of the current invention, the patient wearable device (100) comprises a wireless transceiver adapted to communicate with the signal analyser (200) in a wireless network.

According to an exemplary aspect of the current invention, the signal analyser (200) is selected from a group consisting of dynamic time warp (DTW) detector, Hidden Markov Model (HMM) detector, fuzzy logic engine tool, Bayesian network tool, and neural network tool.

According to an exemplary aspect of the current invention, the patient wearable device (100) is selected from a group consisting of accelerometer, differential amplifier, electromyography (EMG) sensor, electroencephalogram (EEG) sensor, electrocardiogram (EKG) sensor, electrocardiogram (ECG) sensor, electromagnetic reader, ultrasonic sensor, and optical detector.

According to an exemplary aspect of the current invention, an audio sensor is coupled to the wireless transceiver of the patient wearable device (100) to transmit biological audio to the signal analyser (200).

According to an exemplary aspect of the current invention, the signal analyser (200) is cloud server configured to store the health-related data in encrypted format.

According to an embodiment of the current invention, as shown in Fig. 2, the method for investigating hypertension or vascular issues is depicted. The method employs a patient wearable device (100); a signal analyser (200); and a health monitoring device (300) communicatively coupled to one another in a wireless network. The signal analyser (200) comprises artificial intelligence/machine learning tool to examine hypertension/vascular health conditions.

In an exemplary embodiment, the method comprises a step (S1) of reading, by a patient wearable device (100), a plurality of electrical/optical signals associated with the hypertension/vascular related health conditions.

In an exemplary embodiment, the method comprises a step (S2) of transmitting the electrical/optical signals to a signal analyser (200) that is wirelessly coupled to a health monitoring device (300) in a wireless network to show results/outcomes of the signal analysis.

In an exemplary embodiment, the method comprises a step (S3) of identifying, by a convolutional neural network engine embedded in the signal analyser (200), vital biological signals generated by heart/blood circulatory anatomy of the patient.

In an exemplary embodiment, the method comprises a step (S4) of categorising (S4), by the convolutional neural network engine, the biological signals into healthy/unhealthy groups according to a set of symptom parameters associated with the heart/blood circulatory anatomy of the patient.

In an exemplary embodiment, the method comprises a step (S5) of computing, by the convolutional neural network engine, risk levels of affecting the patient’s health condition for the unhealthy group.

In an exemplary embodiment, the step (S6) of transmitting, by the convolutional neural network engine, the unhealthy group results/outcomes with the corresponding risk level to be shown in the health monitoring device (300).

In an exemplary embodiment, the method comprises a step (S7) of predicting, by the convolutional neural network engine, one or more options of treatment to be recommended on a screen of the health monitoring device (300).

In an exemplary embodiment, the method comprises a step of updating (S8) database of the convolutional neural network engine in synchronization with the signal analyser (200).

In an exemplary embodiment, the prediction step (S7) comprises comparing the computed data with past medical history of the patient.

The proposed invention (method and system) provides the following technical effects over the known/prior arts including but not limited to:

• Eliminates manual job of examining heart conditions for detecting hypertension and vascular disease.
• Predict possibility of heart failure along with risk factors.
• Minimal use of hardware medical devices.
• Neural network tool keeps its updated version for getting improved outcomes/results.
• Easy-maintenance, easy-to-use, and cost effective.

The aforesaid disclosure of exemplary aspects of the current disclosure have been elaborated for purpose of explanation and description. They are not intended to be exhaustive or to limit the proposed invention to the precise forms disclosed, and obviously many modifications and variations may be possible in light of the above teaching. The exemplary embodiments are selected and detailed in order to explain the underlying mechanism of the proposed invention and its practical application, to thereby enable the skilled artisans to best utilize the invention and various aspects with various improvements or modifications as are suited to the particular use contemplated.

We claim:

1. A system for investigating hypertension or vascular issues, comprising:
a patient wearable device (100) adapted to read one or more electrical/optical signals associated with the hypertension/vascular related health conditions;
a signal analyser (200) adapted to analyse the electrical/optical signals as read by the patient wearable device (100);
a health monitoring device (300) adapted to show results/outcomes of the signal analysis; and
characterised in that
the signal analyser (200) comprises a convolutional neural network engine embedded therein configured to:
identify vital biological signals generated by heart/blood circulatory anatomy of the patient;
categorise the biological signals into healthy/unhealthy groups according to a set of symptom parameters associated with the heart/blood circulatory anatomy of the patient;
compute risk levels of affecting the patient’s health condition for the unhealthy group;
transmit the unhealthy group results/outcomes with the corresponding risk level to be shown in the health monitoring device (300);
predict one or more options of treatment to be recommended on a screen of the health monitoring device (300); and
update database of the convolutional neural network engine.

2. The system for investigating hypertension or vascular issues as claimed in claim 1, wherein the health monitoring device (300) include a memory, a processor, and input/output units.

3. The system for investigating hypertension or vascular issues as claimed in claim 1, wherein the patient wearable device (100) comprises a wireless transceiver adapted to communicate with the signal analyser (200) in a wireless network.

4. The system for investigating hypertension or vascular issues as claimed in claim 1, wherein the signal analyser (200) is selected from a group consisting of dynamic time warp (DTW) detector, Hidden Markov Model (HMM) detector, fuzzy logic engine tool, Bayesian network tool, and neural network tool.

5. The system for investigating hypertension or vascular issues as claimed in claim 1, wherein the patient wearable device (100) is selected from a group consisting of accelerometer, differential amplifier, electromyography (EMG) sensor, electroencephalogram (EEG) sensor, electrocardiogram (EKG) sensor, electrocardiogram (ECG) sensor, electromagnetic reader, ultrasonic sensor, and optical detector.

6. The system for investigating hypertension or vascular issues as claimed in claim 1, wherein an audio sensor is coupled to the wireless transceiver of the patient wearable device (100) to transmit biological audio to the signal analyser (200).

7. The system for investigating hypertension or vascular issues as claimed in claim 1, wherein the signal analyser (200) is cloud server configured to store the health-related data in encrypted format.

8. A method for investigating hypertension or vascular issues, the method comprising steps of:
reading (S1), by a patient wearable device (100), a plurality of electrical/optical signals associated with the hypertension/vascular related health conditions;
transmitting (S2) the electrical/optical signals to a signal analyser (200) that is wirelessly coupled to a health monitoring device (300) in a wireless network to show results/outcomes of the signal analysis;
identifying (S3), by a convolutional neural network engine embedded in the signal analyser (200), vital biological signals generated by heart/blood circulatory anatomy of the patient;
categorising (S4), by the convolutional neural network engine, the biological signals into healthy/unhealthy groups according to a set of symptom parameters associated with the heart/blood circulatory anatomy of the patient;
computing (S5), by the convolutional neural network engine, risk levels of affecting the patient’s health condition for the unhealthy group;
transmitting (S6), by the convolutional neural network engine, the unhealthy group results/outcomes with the corresponding risk level to be shown in the health monitoring device (300); and
predicting (S7), by the convolutional neural network engine, one or more options of treatment to be recommended on a screen of the health monitoring device (300).

9. The method for investigating hypertension or vascular issues as claimed in claim 8, wherein the method comprises a step of updating (S8) database of the convolutional neural network engine in synchronization with the signal analyser (200).

10. The method for investigating hypertension or vascular issues as claimed in claim 8, wherein the prediction step (S7) comprises comparing the computed data with past medical history of the patient.