Arithmetic/logic blocks for fine-grained reconfigurable units

Cardarilli, G.C.; Nunzio, Luca Di; Re, M.

doi:10.1109/iscas.2009.5118184

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…In the applications where computational complexity and time consuming are important constraints, it is possible to implement alternative algorithms with comparable performance but lesser complexity than Pan & Tompkins algorithm. A further improvement for algorithm performance can be obtained using a different hardware approach, based, for example, on hardware accelerators as shown in [22], [23], [24], [25], [26], [27] and [28].…”

Section: Discussionmentioning

confidence: 99%

Comparison of Low-Complexity Algorithms for Real-Time QRS Detection using Standard ECG Database

Silvestri

Carlo

Nunzio

et al. 2018

International Journal on Advanced Science, Engineering and Information Technology

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Today, thanks to the development of advanced wearable devices, it is possible to track patient conditions outside hospital setting for several days. One of the most important bio-signals used for health analysis is the electrocardiographic (ECG) signal. It provides information about the heart rate, rhythm, and morphology of heart. Many algorithms are proposed over years for automated ECG analysis. Due to their computational complexity, not all these techniques can be implemented on wearable devices for real-time ECG detection. In this frame, a particular interest is toward the algorithms for automatic QRS detection. Different algorithms have been presented in the literature. Among all, more suitable class for the implementation on embedded systems is based on the use of signal derivatives and thresholds. These algorithms are composed by pre-processing stage, for the noise removal, and decision stage for the QRS detection. In literature, the different algorithms were discriminated only with respect to their preprocessing stages. Furthermore, not all algorithms were tested with standard database: this makes the results difficult to compare and evaluate. Moreover, the algorithms performance in case of pathological behaviours was not compared. This paper is motivated by the need to perform a comparison of the whole algorithms, both pre-processing and decision stages, under a standard database (MIT-BIH ECG database of Physionet), either for non-pathological and pathological signals. The results confirm that the Pan & Tompkins algorithm has the best performance in terms of QRS complex detection. However, in some cases, its performance is comparable with the other algorithms ones. For this reason, in the applications in which the reduced of computational complexity is an important constraint, it is possible to implemented algorithms with comparable performance but with lesser complexity with respect to P&T algorithm.

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Section: Discussionmentioning

confidence: 99%

Comparison of Low-Complexity Algorithms for Real-Time QRS Detection using Standard ECG Database

Silvestri

Carlo

Nunzio

et al. 2018

International Journal on Advanced Science, Engineering and Information Technology

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“…To face these constraints in [1], [2] the authors proposed a new architecture named ADAPTO in the which LUTs [5] used for the implementation of general purpose logic have been replaced by Full-Adders (FAs). The resulting architecture is less expensive with respect to those proposed in the literature, but this favorable characteristic is counterbalanced by a reduced flexibility.…”

Section: Introductionmentioning

confidence: 99%

Implementation of the AES algorithm using a Reconfigurable Functional Unit

Cardarilli

Nunzio

Fazzolari

et al. 2011

ISSCS 2011 - International Symposium on Signals, Circuits and Systems

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Abstract-Nowadays programmable devices (microprocessors and DSPs) are based on complex architectures optimized for obtaining maximum speed performances that degrades when the implemented application is mostly based on operations on single bit or subset of bits. This kind of data processing and bit manipulation operations can be accelerated by using a Reconfigurable Functional Unit (RFU). In this paper the benefits of using the ADAPTO RFU (Adder-Based Dynamic Architecture for Processing Tailored Operators) [1] [2] to speed up the Advanced Encryption Standard algorithm (AES) is investigated. The paper shows how the ADAPTO architecture is useful for the acceleration the AES algorithm due the efficient implementation of the most complex operations of the algorithm. A comparison in terms of number of assembly instructions is given.

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