An on-line motion recognition system of rehabilitation robot hand based on LABVIEW platform

Abstract

The invention discloses an on-line motion recognition system of rehabilitation robot hand based on LABVIEW platform, belonging to the field of electronic science and rehabilitation medicine. The hardware part of the system includes a host computer, an ARM processor, a wearing rehabilitation gloves module and an EMG signal acquisition module. A Software part includes an online gesture recognition,a hand rehabilitation training and a LABVIEW rehabilitation status display module. The wearing rehabilitation glove module comprises a pneumatic tendon, a proportional valve, a finger sleeve, a connecting rod driving the finger sleeve, and a driving circuit driving the tendon. The myoelectric signal acquisition module is composed of a myoelectric electrode, a low-noise preamplifier, a signal conditioning circuit and a data acquisition card. The LABVIEW rehabilitation status display module includes a data acquisition unit, a user password login unit, and a feature and category display unit. Thepresent invention utilizes the advantages of LABVIEW rich functional controls and real-time data processing to visualize the on-line recognition process of hand movements based on electromyography, thereby facilitating the monitoring of the recognition process.

Description

technical field [0001] The invention relates to an online motion recognition system for a hand of a rehabilitation robot based on a LABVIEW platform, belonging to the fields of electronic science and rehabilitation medicine. Background technique [0002] With the continuous development of society, the number of people with disabilities caused by various reasons is also increasing. Caring for the disabled and helping them live a better life is a major topic of general concern from all walks of life. Using advanced technology to help the disabled to carry out effective rehabilitation treatment is a research hotspot. [0003] Human-computer interaction technology plays a vital role in hand movement rehabilitation. Forearm surface electromyographic signals, which carry rich movement information, are selected as human-computer interaction information to endow the device with the ability to understand hand movement intentions. At the same time, the system of wearing rehabilitatio...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems of low online hand motion recognition rate, inability to display rehabilitation training status in real time, monitor hand motion, etc., the present invention proposes an online motion recognition system for rehabilitation robot hands based on the LABVIEW platform, based on the LABVIEW platform, with The surface electromyographic signal is used as human-computer interaction information to construct a system for real-time online collection of electromyographic data, real-time identification, real-time control, and real-time monitoring of the patient's hand rehabilitation training status. It has the advantages of easy operation, intuitive readings, convenient monitoring, and can capture and identify abnormalities It can be widely used in hand rehabilitation training for hemiplegic patients

Images