Big data and WBAN: prediction and analysis of the patient health condition in a remote area

Sethi, Deepak; Anand, Jyoti

doi:10.14456/easr.2019.28

Engineering and Applied Science Research 2019

DOI: 10.14456/easr.2019.28

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Big data and WBAN: prediction and analysis of the patient health condition in a remote area

Deepak Sethi

Jyoti Anand

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2021

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A phased approach for the adaptation of telemedicine in arrythmia management

Bendimerad

Slimane

Bendimerad

2021

Review of Scientific Instruments

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Cardiovascular disease is the world’s leading cause of death. People at higher risk of heart disease need early detection to prevent or delay serious disease complications. In this paper, we present a new design of a wireless portable ECG (electrocardiogram). The ECG signal was preprocessed by analog filters and amplifiers before it was converted into digital data via an Arduino board, a highly available device for real-time signal processing. In order to allow communication between Arduino and Android phone, we use a Bluetooth module. The proposed mobile telemedicine technique allows immediate and rapid detection of heart defects followed by an alarm message from the patient to the doctor.

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A phased approach for the adaptation of telemedicine in arrythmia management

Bendimerad

Slimane

Bendimerad

2021

Review of Scientific Instruments

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Big data and WBAN: prediction and analysis of the patient health condition in a remote area

Cited by 1 publication

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A phased approach for the adaptation of telemedicine in arrythmia management

A phased approach for the adaptation of telemedicine in arrythmia management

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