Realization of Bluetooth piconet for real time monitoring of multiple parameters

Pandya, Utpal; Desai, U.B.; Merchant, S. N.

doi:10.1007/s13534-013-0092-0

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…In this study, the work is extended by realizing Bluetooth Piconet for monitoring of ECG of two subjects, simultaneously. In [18], Bluetooth Piconet is discussed and wireless transmission issues are highlighted. In this study, the work is extended by realizing Bluetooth Piconet for monitoring of ECG of two subjects doing large body movement activities, simultaneously as shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Analog front end available in the transmitter is used to sense ECG signal in mili-volt and it is converted into 0-5 V analog signal. Bluetooth module is another part of hardware which consists of serial Analog to Digital Converter (ADC), microcontroller and Bluetooth transceiver [18,19].…”

Section: Prototype Transmitter Systemmentioning

confidence: 99%

“…Figure 2 shows the picture of system setup with patient cables and disposable electrodes. The ECG can be picked up in the range of 100-1000 Hz depending on diagnostic requirements [18,19]. In this study, ECG data is collected with sampling frequency of 100 Hz.…”

Section: Receiver Systemmentioning

confidence: 99%

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Simultaneous monitoring of motion ECG of two subjects using Bluetooth Piconet and baseline drift

Dave

Pandya

2018

Biomed. Eng. Lett.

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Uninterrupted monitoring of multiple subjects is required for mass causality events, in hospital environment or for sports by medical technicians or physicians. Movement of subjects under monitoring requires such system to be wireless, sometimes demands multiple transmitters and a receiver as a base station and monitored parameter must not be corrupted by any noise before further diagnosis. A Bluetooth Piconet network is visualized, where each subject carries a Bluetooth transmitter module that acquires vital sign continuously and relays to Bluetooth enabled device where, further signal processing is done. In this paper, a wireless network is realized to capture ECG of two subjects performing different activities like cycling, jogging, staircase climbing at 100 Hz frequency using prototyped Bluetooth module. The paper demonstrates removal of baseline drift using Fast Fourier Transform and Inverse Fast Fourier Transform and removal of high frequency noise using moving average and S-Golay algorithm. Experimental results highlight the efficacy of the proposed work to monitor any vital sign parameters of multiple subjects simultaneously. The importance of removing baseline drift before high frequency noise removal is shown using experimental results. It is possible to use Bluetooth Piconet frame work to capture ECG simultaneously for more than two subjects. For the applications where there will be larger body movement, baseline drift removal is a major concern and hence along with wireless transmission issues, baseline drift removal before high frequency noise removal is necessary for further feature extraction. Keywords Ambulatory Electrocardiogram (AECG) Á Bluetooth TM Piconet Á Wireless communication Á Noise removal Á Root mean square deviation (RMSD) Á Serial port profile (SPP)

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Section: Resultsmentioning

confidence: 99%

Section: Prototype Transmitter Systemmentioning

confidence: 99%

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Simultaneous monitoring of motion ECG of two subjects using Bluetooth Piconet and baseline drift

Dave

Pandya

2018

Biomed. Eng. Lett.

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A reconfigurable scatternet formation and maintenance scheme with heterogeneous services for smart Bluetooth devices

Imran

Bakhsh

Tahir

et al. 2018

Sustainable Cities and Society

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A combined application of lossless and lossy compression in ECG processing and transmission via GSM-based SMS

Mukhopadhyay

Mitra

2014

Journal of Medical Engineering & Technology

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This paper presents a software-based scheme for reliable and robust Electrocardiogram (ECG) data compression and its efficient transmission using Second Generation (2G) Global System for Mobile Communication (GSM) based Short Message Service (SMS). To achieve a firm lossless compression in high standard deviating QRS complex regions and an acceptable lossy compression in the rest of the signal, two different algorithms have been used. The combined compression module is such that it outputs only American Standard Code for Information Interchange (ASCII) characters and, hence, SMS service is found to be most suitable for transmitting the compressed signal. At the receiving end, the ECG signal is reconstructed using just the reverse algorithm. The module has been tested to all the 12 leads of different types of ECG signals (healthy and abnormal) collected from the PTB Diagnostic ECG Database. The compression algorithm achieves an average compression ratio of ∼22.51, without any major alteration of clinical morphology.

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Realization of Bluetooth piconet for real time monitoring of multiple parameters

Cited by 3 publications

References 7 publications

Simultaneous monitoring of motion ECG of two subjects using Bluetooth Piconet and baseline drift

Simultaneous monitoring of motion ECG of two subjects using Bluetooth Piconet and baseline drift

A reconfigurable scatternet formation and maintenance scheme with heterogeneous services for smart Bluetooth devices

A combined application of lossless and lossy compression in ECG processing and transmission via GSM-based SMS

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