CN112704479A - Intelligent health monitoring system and method based on Internet of things - Google Patents
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
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Abstract
The invention discloses a health intelligent monitoring system and method based on the Internet of things, wherein the system comprises: the system comprises a health biological signal sensing layer, a network layer, an intelligent monitoring layer and an application layer; the health biological signal perception layer collects health biological data; the network layer uploads health biological data; the intelligent monitoring layer preprocesses the healthy biological data and trains the deep learning model; the intelligent monitoring layer analyzes subsequent healthy biological data through the trained deep learning model and outputs an analysis result; and the application layer root sends prompt information to the corresponding user when the analysis result is abnormal. According to the intelligent health monitoring system and method based on the Internet of things, the biological health data of the old are collected through the Internet of things, the data are uploaded to the cloud for intelligent analysis, correlation is established through different biological health signals, and then intelligent health monitoring of the old is performed under the comprehensive condition of various health characteristics.
Description
Technical Field
The invention belongs to the technical field of intelligent old people care of Internet of things and artificial intelligence, and particularly relates to an intelligent health monitoring system and method based on the Internet of things.
Background
With the increasing pressure of life, more and more people have sub-health and even chronic disease states, and the health problems of the old people are particularly concerned by people. Meanwhile, the old and the young are busy working and cannot take care of the health status of the parents all the time.
The rapid development of the Internet of things enables networking equipment of various sensors in the Internet of things to be more and more, and biological health signal collection can be completed by the equipment of the Internet of things. At present, most health monitoring tools only carry out local real-time monitoring and display on various health parameters of current users, or transmit data to a mobile phone client through Bluetooth for display, and intelligent analysis and abnormal reminding are not available. Although the internet of things and artificial intelligence have been applied more in the field of biological signal health, the research on the fusion and application of two new technologies and the field of biological signal monitoring is relatively less.
Disclosure of Invention
The invention provides a health intelligent monitoring system and method based on the Internet of things, which adopts the following technical scheme:
the utility model provides a healthy intelligent monitoring system based on thing networking, healthy intelligent monitoring system based on thing networking includes: the system comprises a health biological signal sensing layer, a network layer, an intelligent monitoring layer and an application layer;
the health biological signal perception layer is used for collecting health biological data of a user and preprocessing the health biological data;
the network layer is used for uploading the health biological data collected by the health biological signal perception layer to the intelligent monitoring layer;
the intelligent monitoring layer preprocesses the received healthy biological data and trains the deep learning model through the healthy biological data when the healthy biological data reaches the data volume required by the training set;
the intelligent monitoring layer preprocesses the subsequently received healthy biological data, analyzes the healthy biological data through the trained deep learning model and outputs an analysis result;
and the application layer analyzes the analysis result output by the intelligent monitoring layer and sends prompt information to a corresponding user when the analysis result is abnormal.
As a preferred embodiment, the specific method for the health bio-signal sensing layer to pre-process the collected health bio-data of the user includes:
carrying out windowing processing on the health biological data, wherein the windowing formula is as follows:
where O (n) is the windowed output, I (k) is the discretized data, and w is the window function.
In a preferred embodiment, the window function is a Hanning window,
where N represents the number of windows.
As a preferred embodiment, the health biological signal perception layer comprises a body temperature monitoring device, a heart rate monitoring device and a walking speed sensor;
the body temperature monitoring device is used for collecting body temperature data of a user;
the heart rate monitoring equipment is used for collecting heart rate data of a user;
the walking speed sensor is used for collecting acceleration data and angular speed data of a user.
As a preferred embodiment, the specific method for the health bio-signal sensing layer to pre-process the collected health bio-data of the user further includes:
preprocessing the acquired acceleration data and angular velocity data;
wherein, aiFor the i-th time of synthesizing the acceleration,
and
representing acceleration in three axes;
wherein, wiFor the i-th composite angular velocity,
and
representing angular velocities on three axes.
As a preferred embodiment, the heart rate calculation formula is defined as:
H＝U*S*60，
wherein, S is the peak value number of one-time processing frequency statistics, U is the calculated heart rate frequency, and H is the final heart rate value.
In a preferred embodiment, the network layer is wirelessly transmitted with the health biological signal perception layer.
As a preferred embodiment, the intelligent monitoring layer performs preprocessing on the received healthy biological data by the following specific method:
and the intelligent monitoring layer performs labeling and normalization on the received health biological data.
An intelligent health monitoring method based on the Internet of things comprises the following steps:
collecting health biological data of a user through a health biological signal perception layer and preprocessing the health biological data;
the health biological data collected by the health biological signal perception layer is uploaded to the intelligent monitoring layer through the network layer;
the intelligent monitoring layer preprocesses the received healthy biological data and trains the deep learning model through the healthy biological data when the healthy biological data reaches the data volume required by the training set;
the intelligent monitoring layer preprocesses the subsequently received healthy biological data, analyzes the healthy biological data through the trained deep learning model and outputs an analysis result;
and the application layer analyzes the analysis result output by the intelligent monitoring layer and sends prompt information to a corresponding user when the analysis result is abnormal.
As a preferred embodiment, the specific method for the health bio-signal sensing layer to pre-process the collected health bio-data of the user includes:
carrying out windowing processing on the health biological data, wherein the windowing formula is as follows:
where O (n) is the windowed output, I (k) is the discretized data, and w is the window function.
The intelligent health monitoring system and method based on the Internet of things have the advantages that the biological health data of the old are collected through the Internet of things, the data are uploaded to the cloud for intelligent analysis, correlation is established through different biological health signals, and then intelligent health monitoring of the old is carried out under the comprehensive condition of various health characteristics.
Drawings
FIG. 1 is a schematic diagram of an intelligent health monitoring system based on the Internet of things according to the present invention;
fig. 2 is a schematic diagram of the intelligent health monitoring method based on the internet of things.
Detailed Description
The invention is described in detail below with reference to the figures and the embodiments.
As shown in fig. 1, the intelligent health monitoring system based on the internet of things of the present invention includes: the system comprises a health biological signal sensing layer, a network layer, an intelligent monitoring layer and an application layer.
The health biological signal perception layer is used for collecting and preprocessing health biological data of the user.
As a preferred embodiment, the specific method for the health bio-signal sensing layer to pre-process the collected health bio-data of the user includes:
windowing is carried out on the data of each time slot, each time slot is a period, windowing is carried out on the health biological data, and the windowing formula is as follows:
where O (n) is the windowed output, I (k) is the discretized data, and w is the window function.
In a preferred embodiment, the window function is a Hanning (Hanning) window, N represents the number of windows, and the formula is as follows:
as a preferred embodiment, the health bio-signal sensing layer comprises a body temperature monitoring device, a heart rate monitoring device and a walking speed sensor. The body temperature monitoring device is used for collecting body temperature data of a user. The heart rate monitoring device is used to collect heart rate data of a user. The walking speed sensor is used for collecting acceleration data and angular speed data of a user.
The specific method for the health biological signal perception layer to preprocess the collected health biological data of the user further comprises the following steps:
and preprocessing the acquired acceleration data and the acquired angular velocity data.
Wherein, aiFor the i-th time of synthesizing the acceleration,
and
representing the acceleration in three XYZ axes.
Wherein, wiFor the i-th composite angular velocity,
and
representing angular velocities in three XYZ axes.
As a preferred embodiment, the heart rate calculation formula is defined as:
H＝U*S*60，
wherein, S is the peak value number of one-time processing frequency statistics, U is the calculated heart rate frequency, and H is the final heart rate value.
The network layer is used for uploading the health biological data collected by the health biological signal perception layer to the intelligent monitoring layer. In a preferred embodiment, the network layer and the health biological signal perception layer are wirelessly transmitted, and the wireless transmission modes include but are not limited to wifi and bluetooth. The transmission mode to the intelligent monitoring layer can be wireless or wired.
The intelligent monitoring layer comprises three stages of work. The first phase is data processing. The intelligent monitoring layer preprocesses the received healthy biological data, and the intelligent monitoring layer performs labeling and normalization on the received healthy biological data. It is to be understood that this pre-processing is not limited to labeling, normalization. The second stage is the training of the deep learning model. And the intelligent monitoring layer trains the deep learning model through the healthy biological data when the healthy biological data reaches the data volume required by the training set. The third phase is real-time monitoring. The intelligent monitoring layer preprocesses the subsequently received healthy biological data, analyzes the healthy biological data through the trained deep learning model and outputs an analysis result.
The application layer is used to deploy applications suitable for use with the present invention. And the application layer analyzes the analysis result output by the intelligent monitoring layer and sends prompt information to a corresponding user when the analysis result is abnormal.
As shown in fig. 2, the intelligent health monitoring method based on the internet of things of the present invention is applied to the intelligent health monitoring system based on the internet of things, and the method mainly includes the following steps:
s1: and collecting and preprocessing health biological data of the user through the health biological signal perception layer.
S2: and the health biological data collected by the health biological signal perception layer is uploaded to the intelligent monitoring layer through the network layer.
S3: the intelligent monitoring layer preprocesses the received healthy biological data and trains the deep learning model through the healthy biological data when the healthy biological data reaches the data volume required by the training set.
S4: the intelligent monitoring layer preprocesses the subsequently received healthy biological data, analyzes the healthy biological data through the trained deep learning model and outputs an analysis result.
S5: and the application layer analyzes the analysis result output by the intelligent monitoring layer and sends prompt information to a corresponding user when the analysis result is abnormal.
The specific implementation manner of each step refers to the description in the intelligent health monitoring system based on the internet of things.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It should be understood by those skilled in the art that the above embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the scope of the present invention.
Claims (10)
1. The utility model provides a healthy intelligent monitoring system based on thing networking which characterized in that, healthy intelligent monitoring system based on thing networking includes: the system comprises a health biological signal sensing layer, a network layer, an intelligent monitoring layer and an application layer;
the health biological signal perception layer is used for collecting health biological data of a user and preprocessing the health biological data;
the network layer is used for uploading the health biological data collected by the health biological signal perception layer to the intelligent monitoring layer;
the intelligent monitoring layer preprocesses the received healthy biological data and trains a deep learning model through the healthy biological data when the healthy biological data reaches the data volume required by a training set;
the intelligent monitoring layer preprocesses the subsequently received healthy biological data, analyzes the healthy biological data through the trained deep learning model and outputs an analysis result;
and the application layer analyzes the analysis result output by the intelligent monitoring layer and sends prompt information to a corresponding user when the analysis result is abnormal.
2. The intelligent health monitoring system based on the Internet of things of claim 1,
the specific method for preprocessing the collected health biological data of the user by the health biological signal perception layer comprises the following steps:
windowing is carried out on the health biological data, and a windowing formula is as follows:
where O (n) is the windowed output, I (k) is the discretized data, and w is the window function.
3. The intelligent health monitoring system based on the Internet of things of claim 2,
the window function is selected to be a Hanning window,
where N represents the number of windows.
4. The intelligent health monitoring system based on the Internet of things of claim 3,
the health biological signal sensing layer comprises a body temperature monitoring device, a heart rate monitoring device and a walking speed sensor;
the body temperature monitoring equipment is used for collecting body temperature data of a user;
the heart rate monitoring device is used for collecting heart rate data of a user;
the walking speed sensor is used for collecting acceleration data and angular speed data of a user.
5. The intelligent health monitoring system based on the Internet of things of claim 4,
the specific method for preprocessing the collected health biological data of the user by the health biological signal perception layer further comprises the following steps:
preprocessing the acquired acceleration data and angular velocity data;
wherein, aiFor the i-th time of synthesizing the acceleration,
and
representing acceleration in three axes;
wherein, wiFor the i-th composite angular velocity,
and
representing angular velocities on three axes.
6. The intelligent health monitoring system based on the Internet of things of claim 5,
defining the heart rate calculation formula as:
H＝U*S*60，
wherein, S is the peak value number of one-time processing frequency statistics, U is the calculated heart rate frequency, and H is the final heart rate value.
7. The intelligent health monitoring system based on the Internet of things of claim 1,
the network layer is in wireless transmission with the health biological signal perception layer.
8. The intelligent health monitoring system based on the Internet of things of claim 1,
the specific method for preprocessing the received health biological data by the intelligent monitoring layer is as follows:
and the intelligent monitoring layer performs labeling and normalization on the received health biological data.
9. An intelligent health monitoring method based on the Internet of things is characterized by comprising the following steps:
collecting health biological data of a user through a health biological signal perception layer and preprocessing the health biological data;
the health biological data collected by the health biological signal perception layer is uploaded to an intelligent monitoring layer through a network layer;
the intelligent monitoring layer preprocesses the received healthy biological data and trains a deep learning model through the healthy biological data when the healthy biological data reaches the data volume required by a training set;
the intelligent monitoring layer preprocesses the subsequently received healthy biological data, analyzes the healthy biological data through the trained deep learning model and outputs an analysis result;
and the application layer analyzes the analysis result output by the intelligent monitoring layer and sends prompt information to a corresponding user when the analysis result is abnormal.
10. The intelligent health monitoring method based on the Internet of things as claimed in claim 9,
the specific method for preprocessing the collected health biological data of the user by the health biological signal perception layer comprises the following steps:
windowing is carried out on the health biological data, and a windowing formula is as follows:
where O (n) is the windowed output, I (k) is the discretized data, and w is the window function.
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| CN116189863A (en) * | 2023-01-14 | 2023-05-30 | 广东唯康教育科技股份有限公司 | Intelligent health maintenance management system, interaction platform and method based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107334466A (en) * | 2017-08-08 | 2017-11-10 | 西安交通大学 | A kind of apparatus and method of wearable chronic disease intelligent monitoring and early warning |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107334466A (en) * | 2017-08-08 | 2017-11-10 | 西安交通大学 | A kind of apparatus and method of wearable chronic disease intelligent monitoring and early warning |
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| CN116189863A (en) * | 2023-01-14 | 2023-05-30 | 广东唯康教育科技股份有限公司 | Intelligent health maintenance management system, interaction platform and method based on Internet of things |
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