Wireless Wearable ElectroMyography Acquisition System Utilizing Reduced-Graphene-Oxide Based Sensor

Pham-Nguyen, Loan; Han, Huy-Dung; Tran, Le-Lan; Nguyen-Hong, Nhung; Le, Linh

doi:10.1109/nics54270.2021.9701512

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results showed that the proposed design is suitable for mobile ECG devices due to the high accuracy of its results. Pham-Nguyen et al [12] proposed a mobile wireless system to receive the EMG signal. The proposed system was tested on receiving calf and biceps signals.…”

Section: Introductionmentioning

confidence: 99%

Medical system based on thermal optical system and neural network

Elgawad

Youssef

Nasser

2023

IJECE

View full text Add to dashboard Cite

<span lang="EN-US">Military personnel in the training or operational phases always need constant medical examination, but the presence of efficient medical care is difficult to implement in real-time for such cases. A wireless system for thermal tracking of soldiers was proposed, as well as tracking their vital signs in real time. Thermal cameras are used with an optical system designed to increase the accuracy of the thermal images captured as the change in the electro-cardiogram, heart rate, and temperature measurements are measured using a specially designed circuit. The results from both the thermal system and the biometric system are combined and sent to a computer for analysis using a model prepared with neural network technology. The proposed system was tested, and a database was created for 127 males and 110 females during training and rest times. The neural network model achieved a response time of 85 seconds until the release of the final analysis, and the accuracy of the proposed tracking system is 96%. The main contribution of this paper is the design of an integrated portable system for rapid, in-field, real-time military medical diagnostics.</span>

show abstract

Section: Introductionmentioning

confidence: 99%