Lossless Electrocardiogram Compression Technique and GSM Based Tele-Cardiology Application

Mukhopadhyay, Sunil; Ghosh, Subhojit; Chakraborty, Sibani; Das, Shreya; Mitra, Madhuchhanda; Mitra, S.

doi:10.21307/ijssis-2017-571

Cited by 5 publications

(2 citation statements)

References 41 publications

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“…The character string obtained from LLEDCCE can be transmitted through GSM and decoded at the receiver end to obtain the actual ECG data values [13]. Another similar software based ECG data compression algorithm, EDCCE is proposed in [14] where the compression ratio increases to 15.72.…”

Section: Introductionmentioning

confidence: 99%

Development of Embedded Power System Data Management System

Sarkar¹,

Kundu²,

Sarkar³

2017

MMC_A

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The power system operation involves regular monitoring of various parameters including voltage, current, system frequency etc. at regular intervals. This huge volume of data storage and transfer is a challenging task, particularly when lower level microcomputers are employed as field devices. The increased computational burden of entropy based compression algorithms and requirement of the probability distribution of symbols makes it difficult to implement for data acquisition. Differential Binary Encoded Algorithm (DBEA) gives a high compression ratio with repetitive, slow varying data array. But it is not suitable for the GSM communication scheme where printable character transmission is possible. An improved algorithm, Modified DBEA (M-DBEA) is developed which not only extends the range of DBEA but also gives a character string containing printable characters only. The results obtained by M-DBEA with practical data values are encouraging and thus implemented at the microcontroller level to develop a handshaking based compressed temperature data transfer system using Arduino UNO microcontrollers. When suitable sensors are used, it is possible to extend the work to develop a smart data management system for compressing real time parameter values collected over the finite time duration and transmit the compressed information through any suitable wired or wireless communication scheme.

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Section: Introductionmentioning

confidence: 99%

Development of Embedded Power System Data Management System

Sarkar¹,

Kundu²,

Sarkar³

2017

MMC_A

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“…So the second is using the ubiquitous intelligent phones as the control terminals. They control the home appliances based on the WiFi, Bluetooth, GSM, the wireless sensor internet based on the Zigbee and the CC2530 chip, and other systems [10][11][12][13][14][15]…”

Section: Introductionmentioning

confidence: 99%

The Implementation For The Intelligent Home Control System Based On The Android And Zigbee

Xin

Chen

et al. 2014

International Journal on Smart Sensing and Intelligent Systems

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The intelligent home system finished the wireless or remote control for all the indoor electric devices through the intelligent terminals. The description about the integrated network architecture and the interconnecting mechanisms for the reliable measurement of parameters by smart sensors and transmission of data via internet is being presented. The wireless communication technology includes the WiFi, Zigbee and mobile communications. The system presented the design of the hardware part and the software part. The forward are fixed in the variety of appliances based on CC2530 chip and sensors. The connection between different devices can be finished by the standard interfaces RS232 and RS485. The software can be installed in the tablet PC, the personal computer or smart telephones. It can be realized on the open Android platform or Eclipse. The system has been applied in the actual intelligent house. Results are encouraging as the reliability of sensing information transmission is with very little error in the peak of the internet. The home owners are satisfied with the test results. The prototype was tested to generate real-time graphical information rather than a test bed scenario. This will be widely applied in the future of the smart home.

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