Design of Wireless Electronic Stethoscope Based on Zigbee

Patil, Dhanashree; Shastri, Rajveer

doi:10.5121/ijdps.2012.3130

Cited by 18 publications

(9 citation statements)

References 12 publications

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“…Based on the results obtained in Figures 11 and 12, it has been shown that with the combination of Butterworth LPF and HPF filters, got significant results to show the regular signal pattern in a Figure 1 pattern when compared to using only one filter that is only Butterworth LPF [19]- [20], the results are still far from the expected normal pattern according to Figure 1. Figure 11.…”

Section: Methodsmentioning

confidence: 99%

Active Filter Analysis on Designing Electronic Stethoscope

Oktivasari¹,

Riandini²,

Fitri³

et al. 2019

indones.j.electron.telecommun.

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Early heart disease detection could be vital and some other diagnostic ways are being developed. In this paper, a lowcost tool for a diagnostic that analyzes the digitized heartbeat sound is given. This can be used to detect heart anomalies. The instrument shows the heart sound and also keeps a patient's long-term record for future use. The signal from the heart provides a lot of knowledge about the heart and offers an initial diagnosis recommendation. The electronic stethoscope uses the condenser microphone, preamplifier circuit, and filter circuit. The optimum filter is Butterworth with a fourth-order Sallen key low pass filter topology with a gain of 0.707 volts, -3.01 dB, and a fourth-order high pass filter with a gain of 0.782 volts, -2.137 dB. The frequency of the heart sound is about 20 Hz – 120 Hz in general. Therefore, the lower cutoff frequency of the filter is set to 20 Hz, while the higher cutoff frequency set to 120 Hz. The evaluation used to measure the performance of an electronic stethoscope is to compare with a conventional stethoscope, the recorded sound is the same.

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Section: Methodsmentioning

confidence: 99%

Active Filter Analysis on Designing Electronic Stethoscope

Oktivasari¹,

Riandini²,

Fitri³

et al. 2019

indones.j.electron.telecommun.

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show abstract

“…(Gururajan et al 2011) conducted a study based on different de-signs of wireless electronic stethoscopes and their feasibility based on user's perspective to identify issues when using these stethoscopes in telemedicine and e-health platforms [6]. (Patil, et al 2012) proposed the design of contact vibration sensor to minimize the ambient noise in acquiring the heart sound signal, for wireless transmission the authors used Bluetooth for ehealthcare implementation [2]. (Wang et-al ,2009)proposed the heart sound measurement and analysis system with digital stethoscope, this paper is concerned with the cardiac sound measurement and analysis system for in-home use of heart abnormality monitoring [8][9].…”

Section: Related Workmentioning

confidence: 99%

“…Murmurs are eliminated using 'Low pass Butterworth filter' & wirelessly transmitted using RF module. Power amplifier is used for driving signals which could be heard by headphones or stored in MP3 player for further analysis [2].…”

Section: Proposed Wireless Stethoscope Using Butterworth Filtermentioning

confidence: 99%

Optimized Wireless Stethoscope Using Butterworth Filter

Dadhe¹

2015

IJNPME

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Acoustic stethoscope is a primary diagnostic tool used by doctors for effective analysis of various diseases. But, it suffers defects such as low level heart sounds and presence of murmurs. This project aims at developing ‘Noise removal in stethoscope using Butterworth filter’. In this, the low level heart sounds were amplified with high gain pre-amplifier circuit. A review of basic filters like low pass RC filter, Butterworth filter, Chebyshev filter and Bessel filter are done for elimination of murmurs and best suited filter is suggested. Finally, amplified noise free heart sounds are simulated using Proteus 7.4. The results prove that efficient filter for designing is ‘Butterworth filter’.

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“…Through a review of previous researches which are summarized in Table 2, obviously, most of them supported the ZigBee wireless standard for bicycle monitoring. This protocol was most often selected as the wireless transmission technology because of its low cost [69], low power consumption [70,71], higher network elasticity, a large number of nodes [72], greater coverage area, and secure networking [73]. Bluetooth is embedded in most portable mobile phones and computers [74] and has low cost, low EM interference [75], low-power applications [76], and low complexity [77], but it has appeared in few works considered in this study.…”

Section: Advantagesmentioning

confidence: 99%

A Survey on Energy Efficient Wireless Sensor Networks for Bicycle Performance Monitoring Application

2014

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Wireless sensor networks (WSNs) have greatly advanced in the past few decades and are now widely used, especially for remote monitoring; the list of potential uses seems endless. Three types of wireless sensor technologies (Bluetooth, ZigBee, and ANT) have been used to monitor the biomechanical and physiological activities of bicycles and cyclists, respectively. However, the wireless monitoring of these activities has faced some challenges. The aim of this paper is to highlight various methodologies for monitoring cycling to provide an effective and efficient way to overcome the various challenges and limitations of sports cycling using wireless sensor interfaces. Several design criteria were reviewed and compared with different solutions for the implementation of current WSN research, such as low power consumption, long distance communications, small size, and light weight. Conclusions were drawn after observing the example of an advanced and adaptive network technology (ANT) network highlighting reduced power consumption and prolonged battery life. The power saving achieved in the slave node was 88–95% compared to the similar ANT protocol used in the medical rehabilitation.

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Design of Wireless Electronic Stethoscope Based on Zigbee

Abstract: ABSTRACT

Cited by 18 publications

References 12 publications

Active Filter Analysis on Designing Electronic Stethoscope

Active Filter Analysis on Designing Electronic Stethoscope

Optimized Wireless Stethoscope Using Butterworth Filter

A Survey on Energy Efficient Wireless Sensor Networks for Bicycle Performance Monitoring Application

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