New devices for very long-term ECG monitoring

Lobodziński, S. Suave; Laks, Michael M.

doi:10.5603/cj.2012.0039

Cited by 92 publications

(52 citation statements)

References 9 publications

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“…Though these devices overcome issues of other non-invasive tools, several critical issues still remained. First, some devices anchor to the body, which some users may find irritating [31]. Second, this approach requires frequent calibration to map the "Time Delay" and BP to maintain accuracy and all existing fitting models appear to be dependent of objects and temporal trials, as well as motional activities [32,33].…”

Section: Introductionmentioning

confidence: 99%

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

et al. 2017

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Blood pressure (BP) is one of the most important monitoring parameters in clinical medicine. For years, the cuff-based sphygmomanometer and the arterial invasive line have been the gold standards for care professionals to assess BP. During the past few decades, the wide spread of the oscillometry-based BP arm or wrist cuffs have made home-based BP assessment more convenient and accessible. However, the discontinuous nature, the inability to interface with mobile applications, the relative inaccuracy with movement, and the need for calibration have rendered those BP oscillometry devices inadequate for next-generation healthcare infrastructure where integration and continuous data acquisition and communication are required. Recently, the indirect approach to obtain BP values has been intensively investigated, where BP is mathematically derived through the "Time Delay" in propagation of pressure waves in the vascular system. This holds promise for the realization of cuffless and continuous BP monitoring systems, for both patients and healthy populations in both inpatient and outpatient settings. This review highlights recent efforts in developing these next-generation blood pressure monitoring devices and compares various mathematical models. The unmet challenges and further developments that are crucial to develop "Time Delay"-based BP devices are also discussed.

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Section: Introductionmentioning

confidence: 99%

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

et al. 2017

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“…A new device was introduced by Lobodzinski and Laks [9] for long term ECG monitoring and detecting arrhythmias. A Genetic algorithm and SVM combination used for arrhythmia disease classification was presented by Nasiri et al [10]. An arrhythmia disorder of type ventricular Fibrillation and Ventricular Tachycardia detected from ECG was presented by Atienza at al [11].…”

Section: Related Workmentioning

confidence: 99%

An Electrocardiograph based Arrythmia Detection System

Veena¹,

Shobha²

2018

IJEMR

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Cardiac disorders turn out to be a serious disease if not diagnosed and treated at the earliest. Arrhythmia is a cardiac disorder that exists as a result of irregular heart beat conditions. There are several variants in this type of disorder which can be only diagnosed only when patient is under an intensive care conditions and also the patient with such disorder do not experience and physical symptoms. Such diseases turn out to be deadly if not treated early. A detection system is thus required which is capable of detecting these arrhythmias in real time and aid in the diagnosis. An FPGA based arrhythmia detection system is designed and implemented here which can detect second degree AV block type of arrhythmia. The designed system was simulated and tested with ECG signal from MIT-BH database and the results revealed that a robust arrhythmia detection system was implemented.

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“…Instrumentation amplifier, driven-right-leg circuit, and filtering are widely employed in ECG amplifiers to attenuate such noise (Webster, 2010). Even though, devices for long term ECG monitoring require improvements to measure discernible QRS and P waveforms in the presence of noise (Lobodzinski and Laks, 2012). The inter-individual variability of ECG amplitude also has impact on the quality of sampled signals.…”

Section: Introductionmentioning

confidence: 99%

An automatic gain control circuit to improve ECG acquisition

Rovetta¹,

Baggio²,

Moraes

2017

Res. Biomed. Eng.

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Introduction: Long-term electrocardiogram (ECG) recordings are widely employed to assist the diagnosis of cardiac and sleep disorders. However, variability of ECG amplitude during the recordings hampers the detection of QRS complexes by algorithms. This work presents a simple electronic circuit to automatically normalize the ECG amplitude, improving its sampling by analog to digital converters (ADCs). Methods: The proposed circuit consists of an analog divider that normalizes the ECG amplitude using its absolute peak value as reference. The reference value is obtained by means of a full-wave rectifier and a peak voltage detector. The circuit and tasks of its different stages are described. Results: Example of the circuit performance for a bradycardia ECG signal (40bpm) is presented; the signal has its amplitude suddenly halved, and later, restored. The signal is automatically normalized after 5 heart beats for the amplitude drop. For the amplitude increase, the signal is promptly normalized. Conclusion:The proposed circuit adjusts the ECG amplitude to the input voltage range of ADC, avoiding signal to noise ratio degradation of the sampled waveform in order to allow a better performance of processing algorithms.

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New devices for very long-term ECG monitoring

Cited by 92 publications

References 9 publications

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

An Electrocardiograph based Arrythmia Detection System

An automatic gain control circuit to improve ECG acquisition

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