Textile sensor system for electrocardiogram monitoring

Gonzales, Laura; Walker, Katherine; Keller, Kevin; Beckman, Daniel W.; Goodell, Henry P.; Wright, Grace; Rhone, Christian; Emery, Andrew C.; Gupta, Rachana Ashok

doi:10.1109/vcacs.2015.7439568

Cited by 15 publications

(9 citation statements)

References 7 publications

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“…The waveform of ECG and its points can be viewed distinguishably. The circuits equipped with powerful microcontrollers cannot record signals only but also calculate heart rate [27], using the R-R interval of ECG waveform. This calculated heart rate can be displayed on a screen where signals are plotted and sent to the doctor as a piece of additional information.…”

Section: Recording Visualizationmentioning

confidence: 99%

“…These electronics record 12 lead ECG signals, perform digitization, encryption, and transmit them to a smartphone using a low power FSK transmitter. A similar shirt was designed [27] in such a way that equipped electronics can be removed quickly to machine wash the shirt. The electronics of the shirt consist of a circuit board equipped with an ARM microcontroller and Android smartphone application to receive, store, and display ECG signals on the screen.…”

Section: Recording Visualizationmentioning

confidence: 99%

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Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Shabaan

Arshid

Yaqub

et al. 2020

BMC Med Inform Decis Mak

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A number of resources, every year, being spent to tackle early detection of cardiac abnormalities which is one of the leading causes of deaths all over the Globe. The challenges for healthcare systems includes early detection, portability and mobility of patients. This paper presents a categorical review of smartphone-based systems that can detect cardiac abnormalities by the analysis of Electrocardiogram (ECG) and Photoplethysmography (PPG) and the limitation and challenges of these system. The ECG based systems can monitor, record and forward signals for analysis and an alarm can be triggered in case of abnormality, however the limitation of smart phone’s processing capabilities, lack of storage and speed of network are major challenges. The systems based on PPG signals are non-invasive and provides mobility and portability. This study aims to critically review the existing systems, their limitation, challenges and possible improvements to serve as a reference for researchers and developers.

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Section: Recording Visualizationmentioning

confidence: 99%

Section: Recording Visualizationmentioning

confidence: 99%

Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Shabaan

Arshid

Yaqub

et al. 2020

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

show abstract

“…The use of un-gelled or dry electrodes in the ambulatory recording of heart rate and ECG has emerged in recent years and continues to gain popularity [4,5]. More recently, textile-based electrodes employing conductive fabrics have been used in wearable garments for remote monitoring and telemedicine applications [6][7][8][9][10][11]. Dry, un-gelled electrodes have consistently been reported in the literature to be noisier than the standard gelled, self-adhesive electrodes used in hospital clinics [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Noise performance of textile‐based dry ECG recording electrodes

Maji

Burke

2020

Electronics Letters

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This study reports attempts to characterise the noise properties of ungelled, textile-based electrodes intended for use in ECG recording in wearable garments. Measurements were made using very low noise operational amplifiers and with mains power supply interference eliminated from the recorded signals so that they reflected only genuine noise. Measurements were carried out on four conductive fabric electrodes, one conductive rubber electrode and a standard self-adhesive, gelled electrode on three male and three female subjects. Curves of the form y = K/f + C were fitted to the recorded noise spectral density functions. Coefficients obtained for the white noise spectral density ranged from 1.1 to 5.6 nV/ÝHz and for the flicker (1/f) noise spectral density ranged from 8 to 80 nVÝHz.

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“…ECG [6], seismocardiogram (SCG) [2] and phonocardiogram (PCG) [7] are three most common systems for measuring heartbeat that recently wearable sensors have significantly penetrated into the area. The ECG is a famous method to estimate the heartbeat using at least three electrodes.…”

Section: Introductionmentioning

confidence: 99%

Cardiorespiratory system monitoring using a developed acoustic sensor

Abbasi-Kesbi

Valipour

Imani

2018

Healthcare Technology Letters

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This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the frequency of 2.54 GHz as well as two capacitor microphones which one for recording the heartbeat and another one for respiration rate. To evaluate the precision of the presented sensor in estimating heartbeat and respiration rate, the sensor is tested on the different volunteers and the obtained results are compared with a gold standard as a reference. The results reveal that root-mean-square error are determined <2.27 beats/min and 0.92 breaths/min for the heartbeat and respiration rate in turn. While the standard deviation of the error is obtained <1.26 and 0.63 for heartbeat and respiration rate, respectively. Also, the sensor estimate sounds of to obtained PCG signal with sensitivity and specificity 98.1% and 98.3% in turn that make 3% improvement than previous works. The results prove that the sensor can be appropriate candidate for recognising abnormal condition in the cardiorespiratory system.

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Textile sensor system for electrocardiogram monitoring

Cited by 15 publications

References 7 publications

Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Noise performance of textile‐based dry ECG recording electrodes

Cardiorespiratory system monitoring using a developed acoustic sensor

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