Portable human-body sport-injury monitoring system and method controlled by brain waves

Abstract

The invention discloses a portable human-body sport-injury monitoring system and method controlled by brain waves. The system includes a brain-wave detecting device, a sport-injury monitoring device, a protection device and a cloud server. The sport-injury monitoring device is used for collecting and processing motion-related information of a user, the motion-related information is compared with a template base to anticipate whether or not the user has any sport injury, and when the user has a sport injury, the brain waves are compared with an instruction database, and whether or not a protection command is sent to the protection device or an first-aid command is sent to the cloud server is judged. According to the system and method, a multi-sensor dynamic complementary filtering algorithm is adopted, and the accurate accelerated speed information, speed information, angle information, location information and height information of the user are obtained; a mode in which a time domain is converted to a frequency domain is adopted, image matching is combined, physiological information, environment information, motion information and location information of the user are fused, and the motion condition of the user is judged; by the adoption of the brain-wave control, the quick protection and emergency treatment conducted on human-body sport injuries are achieved.

Description

Technical field [0001] The invention relates to the field of remote monitoring and sports injury prevention, in particular to a portable human sports injury monitoring device and method controlled by brain waves. Background technique [0002] Sports are divided into health sports and competitive sports. my country has invested heavily in competitive sports and promoted mass fitness sports. Sports injuries are also increasing, affecting athletes' training games and daily fitness activities. According to sample statistics, the injury rate of college students in basketball sports More than 80%. The causes of sports injuries come from many aspects, including insufficient understanding of sports injuries, insufficient preparation activities, errors in technical movements, excessive exercise load, poor physical condition, and environmental temperature effects. Take the marathon as an example. In the 16-year marathon in Qingyuan City, Guangdong, the injury rate was 60%. In addition to e...

AI Technical Summary

Problems solved by technology

Video detection and analysis cannot guarantee the privacy and security of users; smart phones cannot meet various needs due to different sizes, built-in sensors, and processing performance; and sensor detection methods currently mainly use accelerometer sensors and human motion-based Different algorithms of acceleration characteristics are used to detect the fall state. However, some daily high-intensity sports, such as jogging and sitting down quickly, will also produce a large acceleration feature similar to falling. Using the acceleration sensor alone for fall detection, the collected data is relatively simple. It is not enough to fully reflect the changes in human body posture, and it is easy to cause many false alarms

On the other hand, fall monitoring is based on post-fall treatment and cannot achieve the effect of prior prevention

[0005] Moreover, some monitoring devices on the market are bulky, not only unable to provide convenience for the elderly who need to go out, but also unable to monitor the physical condition of the elderly in real time, nor can they monitor the real-time location of the elderly in real time, while other portable devices have single functions, It is not enough to detect diverse activities. In addition, if a single remote server goes down, the entire system will be paralyzed. Therefore, there is a great need for a portable sports injury monitoring system to protect the health of the elderly in real time

[0006] According to the above analysis, the current sports injury monitoring system mainly has the following problems: 1. The detection method is single, which will send false alarm information to the system, and the recognition accuracy rate is low

2. The alarm is issued after the sports injury, which cannot reduce the sports injury and lacks pre-judgment

3. Lack of effective and highly sensitive protection mechanism

2. The clustering using the attractor propagation algorithm is affected by the bias parameter, which is easy to cause misjudgment

Since the switching of the detection device 1 and the mode requires manual execution, the degree of intelligence is low

2. Judging by the acceleration threshold is easy to cause misjudgment

Due to the detection device 1, the judgment method of passing the threshold value, the false positive rate is high

2. The Bluetooth communication method is adopted, the communication distance is short, and the guardian cannot be notified in time

Since the division of the detection device 1 and samples will affect the subsequent detection, the data of squatting may be the same as the combined acceleration and angular velocity of falling

2. Use the calculation method of conditional probability to find the maximum value of the probability, and the noise has a great influence on the calculation

Because the detection device 1 and the big data platform require a large number of data samples as training, the amount of data in the initial stage will affect the judgment result

2. Using the similarity method is likely to cause misjudgment. If you sit down quickly, the system will also consider it as a fall state

Since the detection system 1, the processing flow of each data packet is trained through the model of the cloud server, the time for falling judgment is increased, resulting in the failure of timely rescue

2. Access to the network through WIFI, the scope of application is small

Because the monitoring system 1. The device is defined with a network interface module, it is not suitable for carrying out, and data cannot be transmitted as long as it leaves the network interface. 2. Read the ECG signal, and perform QRS wave detection, heart rate calculation and analysis of five kinds of arrhythmia. Is a common diagnosis, can not be related to the analysis of the state of motion

3. The collected data is a single ECG signal

Because the monitoring system 1. Although it includes a wireless blood pressure pulse meter, a thermometer, and a fall detector, its integration is poor and it is not easy to carry

2. The way of falling is judged by the acceleration threshold, which is easy to cause false alarms

Because the monitoring system 1. uses the device to send data to the mobile phone, it is easy to carry, but it cannot work independently without the mobile phone, and the portability is average.

2. The collected data are heart rate and blood pressure, which cannot reflect all situations and may easily cause false alarms

[0019] To sum up, the main deficiencies in the open patents and technical solutions related to the remote monitoring system include: 1. The function is single, or the acceleration threshold is used to judge, or the sole pressure method is used to judge, or a single ECG data is used. Judgment, it is easy to cause misjudgment, and the recognition accuracy rate is low

2. The recognition speed is slow, and an alarm signal is sent after a fall is detected and a sports injury is received, and it is impossible to reduce or avoid sports injuries by predicting in advance

3. Lack of an effective and highly sensitive monitoring mechanism. After detecting damage, a single alarm message is sent to the guardian, which may easily lead to untimely rescue

4. Insufficient portability, unable to adapt to various occasions. For example, it can only be used indoors, or requires a network interface to use, or requires a mobile phone as a transfer

5. Lack of human motion state detection and human posture detection, such as heart rate detection is easily disturbed by motion noise

6. Lack of perception of the surrounding environment, single consideration of the feedback of the human body itself, lack of prediction of the environment

Images