Abstract
Persons with Lower-limb amputations experience movement restrictions resulting in worsening their life quality. Wearable sensors are often utilized to evaluate spatial and temporal qualities and kinetic parameters that provide the mechanism to create interactive monitoring of the amputee prosthesis system. Gait events and detection of the gait phase of amputee movement are essential to control the prosthetic devices of lower limbs. This paper presents real-time monitoring to individuals with lower limb amputation by using a medical wireless sensor. However, the proposed system used four medical sensor nodes (such as gait, temperature, the pressure of blood, blood oxygenation (SpO2) )for transmitted medical data by the RFB 24 to the sink node to collected data and upload by ESP32 to the Local cloud ( Raspberry pi 4) by using Wi-Fi network, then design the web application for enable the doctor monitor the patient (lower-limb amputation (LLA)) and provide the reporter to on each patient, where local cloud provides the data to the web application. The conduction of this work is using one sink node to four nodes (patient) to reduce the data rate and the energy consumption. In this work, one IP to four medical sensor nodes lowers the data rate to 60%, and the energy consumption by the sensing nodes is lowered by 20% that using one IP instead of using five IP reduce the size of the transmitted packet.
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