Abstract
Geriatric patients undergoing mastectomy have a weakened organism and slow recovery of gastrointestinal function after surgery, which may lead to various complications, affect the absorption of intestinal nutrients, and prolong the healing rate of wounds. Therefore, it is necessary to find an effective nursing program to promote the recovery of gastrointestinal function and prevent postoperative complications in elderly patients undergoing mastectomy. With the continuous development and advancement of computer and communication technologies, telecare is gaining more and more attention and has become an important part of medical information technology construction. Falls endanger the elderly and other special populations, especially after a sudden but unassisted fall, which may be life-threatening. Timely fall detection and rescue can win valuable time for treatment and rescue, which is very important to protect users' health and improve medical monitoring. In order to provide better medical care to the elderly population and reduce the harm caused by falls, this paper will focus on the fall problem of the elderly in telecare. In order to facilitate the detection of falls of the elderly, we design an Android sensor-based data acquisition scheme, using the built-in acceleration sensor in the Android system to collect the human acceleration information, and through the JMS middleware technology, the collected data are transmitted to MATLAB for analysis and processing in real time. This paper preprocesses and synthesizes the collected human body data and visualizes the acceleration changes of various typical daily activities of the human body and breast cancer, then extracts the relevant data features according to the synthesized SVM curve, constructs a pattern recognition algorithm using the extracted features, and verifies the effectiveness of the pattern recognition algorithm through experiments.
Highlights
With the continuous development and progress of society, the accumulation of social wealth, the significant improvement of people’s material living standards, and the progress of national awareness, more and more people are concerned about their health status [1]
The elderly population aged 65 and above reached 119 million, accounting for 87% of the total population, up 1.19 percentage points from the 2000 census, far higher than the standard line of 7% defined by the United Nations for an aging society [5]
With the continuous development of computer and communication technology, a new medical care model of telecare delivery has emerged, which can well solve the shortcomings of the traditional model and bring real-time telecare services to users
Summary
With the continuous development and progress of society, the accumulation of social wealth, the significant improvement of people’s material living standards, and the progress of national awareness, more and more people are concerned about their health status [1]. With the continuous development of computer and communication technology, a new medical care model of telecare delivery has emerged, which can well solve the shortcomings of the traditional model and bring real-time telecare services to users. If a breast cancer detection system that is easy to carry, accurate in detection, and timely in judgment can be developed, which can provide timely detection of breast cancer and can send out help information at the first time, on the one hand, it can win precious time for treatment and rescue and reduce many unnecessary losses, which is on the other hand, it can improve the quality of life of the elderly, enhance their ability to live independently, provide real-time protection for their health, and reduce the burden of their families and society. The forward fall appears at two different peaks, the first peak is slightly lower than the second, and by intuitive judgment of the fall position we can see that the first peak is caused by the human knee touching the ground, and the second occurs when the entire body touches the ground, two peaks appeared during weightlessness
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