System and method for monitoring falling down of old people

Abstract

A system for monitoring falling down of old people comprises a pulse sensor node, an acceleration sensor node, a plantar pressure sensor node and a convergence processing node, wherein a multi-sensor human body trunk network can be achieved through the four types of nodes in a star structure. The pulse sensor node comprises a pulse sensor, a microprocessor, a battery and a wireless communication module; the acceleration sensor node comprises an acceleration sensor, a microprocessor, a battery and a wireless communication module; the plantar pressure sensor node comprises a plantar pressure sensor, a microprocessor, a battery and a wireless communication module; according to the pulse sensor node, the acceleration sensor node and the plantar pressure sensor node, sensors are connected with microprocessors, microprocessors and wireless communication modules are connected in a bidirectional mode; and the convergence processing node comprises a storage, a wireless communication module compatible with a body sensor network (BSN), a wireless communication module accessing a communication network, a manual alarm switch and a microprocessor, the manual alarm switch is connected with the microprocessor, and the microprocessor is connected with the storage, the wireless communication module compatible with the BSN and the wireless communication module accessing the communication network in a bidirectional mode respectively.

Description

technical field [0001] The invention relates to the field of electronic technology, and more specifically relates to a fall monitoring system for the elderly and a method thereof, which are used for monitoring, alarming and uploading fall information when the elderly fall. Background technique [0002] In recent years, due to factors such as the advancement of medical technology and the decline in the birth rate, the global population has gradually moved towards an aging structure. At the same time, due to the decline in the marriage rate and the impact of fewer children, the number of elderly people who need care is increasing. With the increase of age, the body of the elderly will have various physiological decline changes, such as decreased muscle strength, decreased balance ability and bone loss. For young people, falls may only result in minor injuries. However, the elderly have a very high probability of causing fractures due to falls, or being seriously injured, and...

AI Technical Summary

Problems solved by technology

Even if you live in a nursing institution or hire specialized caregivers, it is still impossible to guarantee that the elderly will receive perfect care 24 hours a day, and family members cannot rest assured that the elderly will be rescued in time when a fall occurs

For the above-mentioned problems, for the elderly living alone, there is a hidden worry of deterioration caused by not calling for help in time after a fall

[0004] At present, most of the existing human fall and alarm systems use acceleration sensors and gyroscopes for fall detection and judgment, without adding physiological parameter information for fall judgment, and the fall recognition and judgment rate is relatively low. It is impossible to understand the physiological information of the elderly in real time, which makes it impossible to formulate rescue plans in advance

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