การพัฒนาระบบเรียลไทม์ไบโอฟีดแบคด้วยสัญญาณไฟฟ้ากล้ามเนื้อบนแพลตฟอร์มโทรศัพท์สมาร์ทโฟน

Abstract

In order to investigate muscle electrical impulses, this engineering project presents an Android application for measuring muscle electrical impulses and accurately record the muscle electrical signal in the.csv file format while simultaneously display the signal on the screen of the mobile phone operating system Android (Android Mobile). The technique for measuring muscle electrical signals on Android mobile phones can be further developed into a system for body control training. Body control training, also referred to as biofeedback, utilizes electrical musculoskeletal signals to train body control in order to reduce the severity of the disease. However, it also revealed flaws, as practicing body control produced varying results for various individuals depending on the consistency of their training. Therefore, patients must make frequent trips to the hospital. However, it is inconvenient for many patients to travel to the hospital for continuous body control training, resulting in prolonged treatment, and it is also inconvenient for doctors to travel outside of the hospital. Based on this issue, the concept of measuring muscle electrical signals via Bluetooth transmission on Android mobile phones was developed. By simultaneously measuring two bundles of electrical signals and displaying the results as a 2-channel muscle electrical graph, the accuracy of the signal measurement curve can be determined, in addition to recording the results as a.CSV file and using them to calculate the value If the average signal-to-noise ratio (SNR) of each channel is greater than 10 decibels, the SNR is considered accurate 17.84426627 dB in channel 1, while channel 2 is 14.0127099 dB.