A Wireless 3-channel ECG Transmission System Using PDA Phone

Hong, J. H.; Kim, J. M; J., E.; Lee, T. S.

doi:10.1109/iccit.2007.4420302

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hong J.H. developed a three channel ECG transmission system, which can monitor the physical condition of old people, patients and disabled through the PDA mobile phone [15]. 3 The basic pr inciple of impr oved LADT algorithm Decreasing BSN node data volume and reducing the power dissipation are the two challenges for the BSN data fusion technology.…”

Section: Bsn and Its Applicationsmentioning

confidence: 99%

The BSN application and realization of FPGA system with a rapid signal compression algorithm

Sun¹,

Chen²

2013

Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

View full text Add to dashboard Cite

In recent years, with the rapid progressing of the healthcare technology and the increasing of public demand for personal health management, there's a great evolution of the IOT (Internet of Things) in the world [1]. As a special branch of the IOT and the wireless sensor network [2], BSN has been widely employed in the Abstr act. The applications of BSN (Body Sensor Network) require the wearable computing system's power consumption as low as possible. Compared to other components, the wireless communication link is the most power demanding part of the BSN. While effective compression algorithm can sharply cut the data volume down and then reduce the wireless transmitting consumption. Based on this consideration, we studied the improved rapid LADT (Linear Approximation Distance Threshold) algorithm and develop a BSN platform based on FPGA (FieldProgrammable Gate Array) to detect process, compress, record and transmit the ECG (Electrocardiograph) signals. Experiments showed that the improved rapid LADT algorithm can reduce the total number of occupied slices in FPGA system and efficiently compress signal data without change the feature of the ECG signals.

show abstract

Section: Bsn and Its Applicationsmentioning

confidence: 99%