Design of ECG Signal Acquisition and Processing System

Gao, Zhe; Wu, Jie; Zhou, Jian; Jiang, Wei; Feng, Lihui

doi:10.1109/icbeb.2012.128

Cited by 42 publications

(11 citation statements)

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“…There are two types of interference that can affect the signal, namely environmental and non-environmental factors, such as noises coming from muscle artifacts, baseline wander, noise from other electrical instruments, high-frequency electrical noises, electromyography interference, and electrode motion [67], [68]. Due to the low frequency, high impedance, and low signal level of ECG signals, the signal preprocessing stage is central in any automatic ECG signal processing task [69]. The main purpose of the preprocessing stage is filtering the ECG signal to be resistant to interference by using a denoising technique to suppress artifacts and background noise.…”

Section: Factors Affecting Ecg Signalsmentioning

confidence: 99%

A Survey Study of the Current Challenges and Opportunities of Deploying the ECG Biometric Authentication Method in IoT and 5G Environments

Shdefat

Mostafa

Saker

et al. 2021

IJEEI

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The environment prototype of the Internet of Things (IoT) has opened the horizon for researchers to utilize such environments in deploying useful new techniques and methods in different fields and areas. The deployment process takes place when numerous IoT devices are utilized in the implementation phase for new techniques and methods. With the wide use of IoT devices in our daily lives in many fields, personal identification is becoming increasingly important for our society. This survey aims to demonstrate various aspects related to the implementation of biometric authentication in healthcare monitoring systems based on acquiring vital ECG signals via designated wearable devices that are compatible with 5G technology. The nature of ECG signals and current ongoing research related to ECG authentication are investigated in this survey along with the factors that may affect the signal acquisition process. In addition, the survey addresses the psycho-physiological factors that pose a challenge to the usage of ECG signals as a biometric trait in biometric authentication systems along with other challenges that must be addressed and resolved in any future related research.

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Section: Factors Affecting Ecg Signalsmentioning

confidence: 99%

A Survey Study of the Current Challenges and Opportunities of Deploying the ECG Biometric Authentication Method in IoT and 5G Environments

Shdefat

Mostafa

Saker

et al. 2021

IJEEI

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“…Dado que las señales electromiográficas de superficie registradas en la zona del tórax, como es el caso del diafragma, son contaminadas por la señal eléctrica del músculo cardíaco, que comparte banda de frecuencia con las señales EMG (entre 0,05 Hz y 159 Hz) (18), es necesario aplicar un filtro para eliminar dicha interferencia sin comprometer la información existente en la banda de frecuencia compartida. Diferentes estudios han reportado éxito en la eliminación de la interferencia cardíaca que afecta las señales electromiográficas de superficie utilizando la herramienta matemática transformada wavelet y análisis de componentes independientes (ICA) (19).…”

Section: Técnicas De Procesamientounclassified

Efecto del incremento de la PEEP en la actividad muscular respiratoria evaluado con electromiografía de superficie en individuos sanos bajo ventilación espontánea

Hernández-Valdivieso

Sánchez

Muñoz-Ortega

2016

iatreia

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Introducción: en un paciente bajo ventilación mecánica con resistencia aumentada de la vía aérea, la duración de la fase espiratoria es insuficiente para exhalar todo el volumen inspirado. Para mantener la oxigenación y reducir el trabajo de los músculos respiratorios, es común aplicar una presión positiva al final de la espiración (PEEP), que reduce la colapsabilidad del tejido, compensando el aumento de la resistencia. Diversos estudios han demostrado la utilidad de la electromiografía de superficie (EMGS) para cuantificar el trabajo respiratorio.Objetivo: evaluar el efecto de la PEEP en la actividad muscular respiratoria mediante EMGS en individuos sanos bajo ventilación mecánica no invasiva.Metodología: estudio de la actividad muscular en 10 hombres voluntarios sanos ventilados de manera no invasiva con variaciones de la PEEP desde 0 hasta 5 cm H 2 O en pasos de 1 cm H 2 O, cada 30 segundos.Resultados: los biopotenciales del diafragma y el esternocleidomastoideo permitieron detectar diferentes respuestas ante el estímulo incremental: 1) aumento del trabajo de los dos músculos durante la inspiración y la espiración; 2) aumento de la actividad en solo uno de los músculos; 3) aumento del trabajo muscular exclusivamente durante la espiración.Conclusión: en individuos ventilados de forma no invasiva, la EMGS relaciona cuantitativamente el nivel de PEEP con el cambio en la actividad del diafragma y el esternocleidomastoideo. SUMMARYEffect of PEEP increase on respiratory muscle activity assessed through surface electromyography in healthy subjects during spontaneous breathing Introduction: In a mechanically ventilated patient with increased airway resistance, the expiratory time span is insufficient to exhale all the inspired volume. In order to maintain oxygenation and to reduce the workload of respiratory muscles, it is common to apply an extrinsic positive end-expiratory pressure (PEEP) that reduces tissue collapsibility, counterbalancing the increased resistance. Several studies have shown the usefulness of surface electromyography (sEMG) to quantify the work of breathing (WOB), particularly in patients with obstructive diseases.Objective: To assess the effect of incremental PEEP in the respiratory muscle activity through sEMG in healthy volunteers noninvasively ventilated.Methods: Study of muscle activity in 10 healthy male volunteers, noninvasively ventilated for 20 minutes. The extrinsic PEEP was applied from 0 to 5 cm H 2 O in steps of 1 cm H 2 O at 30 seconds intervals. Results:The bio-potentials of diaphragm and sternocleidomastoid muscles revealed different breathing patterns in response to incremental PEEP: 1) increase in the workload of both muscles during inspiration and expiration; 2) increase in the workload of only one muscle; 3) a remarkable increase in muscle activity only in expiration. Conclusion:In noninvasively ventilated volunteers, sEMG quantitatively relates the PEEP level with changes in sternocleidomastoid and diaphragm activity. KEY WORDS INTRODUCCIÓNLa ventilación mecánica es un trat...

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“…The visualization of that data it is known by five peaks labelled with successive letters of the alphabet P, Q, R, S, T, and U as shown in Figure 3. It is extremely important that the electrodes are placed correctly, as known to Einthoven's triangle [70]. To understand how and what an ECG records, it is important to have a basic knowledge of how the heart works, to identify potential abnormal changes, focuses on the segments and gaps.…”

Section: Electrocardiography (Ecg)mentioning

confidence: 99%