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A method for analyzing human sleep characteristics based on smart watch data

A smart watch and feature analysis technology, which is applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve the problems that there is no electronic data extraction and analysis method in smart watches, and there is no method for analyzing sleep characteristics of people, so as to achieve detailed measurement data. Accurate, high-precision results

Active Publication Date: 2021-01-05
INST OF FORENSIC SCI OF MIN OF PUBLIC SECURITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, since smart watches are electronic products with explosive growth in the past two years, there is currently no method for extracting and analyzing electronic data in smart watches, and there is no method for analyzing sleep characteristics of people based on the data of such smart watches.

Method used

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  • A method for analyzing human sleep characteristics based on smart watch data
  • A method for analyzing human sleep characteristics based on smart watch data
  • A method for analyzing human sleep characteristics based on smart watch data

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Embodiment 1

[0112] The smart watch adopted in this embodiment is the Moto 360 second-generation smart watch. Its stylish meta-dial appearance and the rich functions provided by the Android wear operating system make it a popular sports smart watch in the past two years. Its heart rate and step counting functions have passed professional audits, and a large amount of exercise and health data will be generated and stored during the user's wearing process, so it is suitable as a data collection tool in this embodiment. In this embodiment, 25 young people between the ages of 20 and 30 are selected as sampling individuals to measure the experimental data. The statistical information of the sampling individuals is shown in Table 1 below.

[0113] Table 1 Introduction of sampling individuals

[0114] gender number of people age Height / cm Body weight / kg Profession male 12 25.5±2.3 174.5±5.8 73.5±8.4 student Female 13 25.7±1.0 165.6±7.4 54.5±8.2 student ...

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Abstract

The invention relates to a human body sleep feature analysis method based on intelligent watch data. The method is characterized by comprising the following steps that 1, the basic data and the measurement data collected through an intelligent watch are extracted and analyzed, wherein the measurement data comprises the step number, calorie and the heart rate; 2, the measurement data within the measurement time period is divided according to the change of step number, and the heart rate and calorie data of a sampling individual within a sleep state time period and a waking state time period isobtained; 3, human body feature states are analyzed based on the heart rate and calorie data within the sleep state time period and the waking state time period, and the corresponding relation betweenthe sleep state and the waking state of the human body and the heart rate and calorie change is obtained. The method is simple and feasible, the calculation result is accurate, and the method can bewidely applied to the field of analyzing the human body sleep features based on electronic data.

Description

technical field [0001] The invention relates to the field of electronic data analysis, in particular to a method for analyzing human sleep characteristics based on smart watch data. Background technique [0002] As a kind of wearable device, smart watch has complete functions and convenient use, and plays an important role in health monitoring and other aspects. Two of the more common monitoring functions in the monitoring of human body activity characteristics of smart watches are heart rate data monitoring and step counting data monitoring. In order to achieve more powerful intelligence and a more prominent user experience, a large number of high-precision sensor devices are used in the smart watch system, including positioning, gravity, direction, acceleration and so on. A series of processes of dynamic capture and real-time capture of surrounding environmental data information, data preprocessing, removal of noise mutation errors, and dynamic mobile spatio-temporal data...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00
CPCA61B5/4806A61B5/7246A61B5/7264
Inventor 赵露康艳荣郭丽莉龙源邢桂东周冬林楚川红
Owner INST OF FORENSIC SCI OF MIN OF PUBLIC SECURITY
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