19 results found containing all search terms.
Year: 2018, Volume: 18, Number: 2
... range frequency Recent trends in the semiconductor industry guide the Electrocardiogram (ECG) 100μV- 10mV 0.05Hz- 100Hz ... terms of gain and to the specifications of particular bio-medical signals are bandwidth, to the particular specifications of the ... ]. equipment benefits from low-power and low-voltage circuit Although signal processing in bio-medical monitoring techniques for reduced battery size ...
Terms matched: 4 - Score: 123 - 1,230k
Year: 2017, Volume: 17, Number: 3
... . Khazaee, "An efficient technique for classification of electrocardiogram signals", Advances in Electrical and Computer Engineering ... /classification: outliers and ectopic beats. The ECG signals are usually filtered by hardware methods and A SampEn ... to five elements. intervals of electrocardiographic (ECG) signal, coded as binary The six different types of ...
Terms matched: 4 - Score: 68 - 1,216k
Year: 2018, Volume: 18, Number: 4
... Potential approach for minimizing power dissipation of dataset, where electrocardiogram and electro dermal activity battery-operated devices in remote healthcare ... the development of wearable storage and analysis of the physiological signals. The sensors and smartphones open up opportunities for ... sensors, mobile computing, body sensor networks, biomedical signal processing, performance mobile data connections. Furthermore, ...
Terms matched: 3 - Score: 270 - 1,609k
Year: 2023, Volume: 23, Number: 2
... developed for image recognition; the input layer takes the electrocardiogram signals of epilepsy patients. The extracted structure of ... two CNN architectures are proposed of automatic prediction from EEG signals. This work to predict ongoing seizures and different ... , Number 2, 2023 Epilepsy Seizure Prediction from EEG Signal Using Machine Learning Techniques Boutkhil SIDAOUI1, Kaddour SADOUNI2 ...
Terms matched: 3 - Score: 186 - 1,323k
Year: 2009, Volume: 9, Issue: 3
... Number 3, 2009 An Efficient Technique for Classification of Electrocardiogram Signals Ataollah EBRAHIMZADEH, Ali KHAZAEE Faculty of Electrical ... Computer Engineering, Islamic Republic, Iran e_zadeh@nit.ac.ir Abstract — This work describes a Radial Basis Function spread ... the CWT makes use of a windowing function to extract signal segments; in this case the window is called ...
Terms matched: 3 - Score: 170 - 473k
Year: 2011, Volume: 11, Number: 3
... a parameter to penalize higher weight amplitudes during the The electrocardiogram (ECG) is one of the most phase ... allows a fault performed on the MIT – BIH ECG signals, have shown that tolerance neural network. As ... Number 3, 2011 Fault Tolerant Neural Network for ECG Signal Classification Systems Mostefa MERAH1, 2, Abdelazziz OUAMRI2 ...
Terms matched: 3 - Score: 140 - 1,812k
Year: 2013, Volume: 13, Number: 1
... . Giordano., "Telecardiology: One-lead 9. electrocardiogram monitoring and nurse triage in chronic heart [21 ... the Unfortunately, data processing and analysis are performed electrocardiographic signals using custom developed devices. offline, making these ... and plethysmographic suitable for many portable medical applications. Wearable signal in order to detect sleep apnea events. The ...
Terms matched: 3 - Score: 86 - 972k
Year: 2010, Volume: 10, Issue: 4
... , A., An Efficient Technique for Classification of Electrocardiogram Signals, Advances in Electrical can be regarded as ... Gabor's filter bank [15]. and Computer Engineering Journal, no. 3, pp. 89-93, ... in two categories: Any WT of a 1D real signal can be generalized to an those directly applied to ...
Terms matched: 3 - Score: 52 - 1,472k
Year: 2021, Volume: 21, Number: 2
... emphasized before, the rose curve filter has only three electrocardiogram signals," Adv. Electr. Comp. ... ., vol. 9, no. 3, completely adjustable parameters: leaf length, cutting Art. ... ] is used in many M 2 N applications from signal processing to image processing, D(u, ...
Terms matched: 3 - Score: 21 - 2,264k