Giovanni D'Addio

University of Naples Federico II, Napoli, Campania, Italy

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Publications (44)1.76 Total impact

  • t Clinical Movement Analysis World Conference, 15th Annual Meeting of the Italian Society of Clinical Movement Analysis, 23rd Annual Meeting of the European Society for Movement Analysis in Adults and Children,; 09/2014
  • 20th IMEKO TC4 International Symposium and 18th International Workshop on ADC Modelling and Testing Research on Electric and Electronic Measurement for the Economic Upturn Benevento, Italy; 09/2014
  • 20th IMEKO TC4 International Symposium and 18th International Workshop on ADC Modelling and Testing Research on Electric and Electronic Measurement for the Economic Upturn Benevento, Italy; 09/2014
  • 20th IMEKO TC4 International Symposium and 18th International Workshop on ADC Modelling and Testing Research on Electric and Electronic Measurement for the Economic Upturn Benevento, Italy; 09/2014
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    ABSTRACT: As has been frequently observed, single-joint movements are characterized by single-peaked, bell-shaped speed profiles. This findings and the tendency of natural movements to be characteristically smooth and graceful led to suggest that motor coordination can be mathematically modeled by postulating that voluntary movements are made, at least in the absence of any other overriding concerns, to be as smooth as possible. Particularly the goal of the central nervous system (CNS) is to maximize smoothness and one measure of this feature is the integrated mean squared magnitude of jerk. Although in the past have been explored kinematic characteristics of reaching movements recorded with actigrafi or goniometric systems and potentiometers, few studies have evaluated the kinematic characteristics of these movements obtained with the new rehabilitative technologies, such as robot mediated therapy. In this paper we tested the applicability of the minimum-jerk model proposed to one join goal directed horizontal reaching movements performed by healthy subjects with a robotic shoulder rehabilitation device. Results show a good qualitative agreement between the measured trajectories and the predicted ones by the model.
    9th IEEE International Symposium on Medical Measurements and Applications, IEEE MeMeA 2014; Lisbon; Portugal; 09/2014
  • IV National Conference GNB (National Group of Bioengineering). Pavia, Italy; 06/2014
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    ABSTRACT: The use of low-cost, commercial gaming systems for rehabilitation has received substantial attention in the last few years. Systems such as the Nintendo Wii encourage players to use natural actions to play games. The Wii systems has been integrated into rehabilitation programs and has gained the support of occupational therapists because it is easy to use and has a wide variety of games available. In this study we compare the benefits on balance control of Wii Fit use with traditional rehabilitation therapy in 15 patients (study group) with Spinal Cord Injuries (SCI) and in 15 normal subjects (control group). The performance on balance control of each subject was evaluate by the Berg Balance Scale(BBS) in order to establish the baseline. Similar measurement was repeated at the discharge. Moreover, we assess the improvements induced by the use of Wii Fit platform with quantitative posturographic analysis by means of parameters and objective metric indexes such as COP Area and Sway Path. Comparison between two groups was performed by means of paired t test and Mann Whitney test. Both groups showed improvements in the BBS and in the posturographic indexes at the discharge. Very interesting is to note that the wii fit training appears to improve much more the balance of the study group compared to the study group.
    9th IEEE International Symposium on Medical Measurements and Applications, IEEE MeMeA 2014; Lisbon; Portugal; 06/2014
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    ABSTRACT: Foetal heart rate variability is widely considered an important parameter to assess foetal reactivity and wellbeing. Traditional approaches to analyze foetal heart rate and its variability, such as Time and Frequency Domain Analyses, have shown some limitations, due to their inability to highlight nonlinear dynamics potentially relevant. Hence, in the last decades, nonlinear analysis methods have gained a growing interest and the integration of parameters derived from these techniques and traditional ones could be a way to improve the assessment of foetal development and/or distress. In this work, we proposed a comparison between new index obtained with a nonlinear analysis (Symbolic Dynamic Analysis) and more traditional parameters computed by the power spectral density of the foetal heart variability signals (Frequency Domain Analysis). A dataset of 579 cardiotocographic signals from healthy foetuses, recorded from the 24th to the 42th gestation week, was examined using both above-mentioned methods. The obtained results demonstrate that Symbolic Dynamics, as much as Frequency Domain Analysis, could be a useful tool in foetal development assessing.
    2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA); 06/2014
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    ABSTRACT: Aim of this work is to describe a novel method for estimating overnight modulations of fractal dimension (FD) of R-R intervals (RRI), and to evaluate if these FD estimates may characterize different apnea types in sleep studies. Polysomnographies were performed in 10 patients with severe obstructive sleep apnea syndrome. Both obstructive (OS) and mixed (MX) apneas were found in all patients. The FD of RRI interpolated series was estimated “locally” over a running window of 15 s, overlapped by 14 s, by an algorithm based on the Mandelbrot's definition of the FD of geometric curves. The FD estimator appeared able to follow rapid changes in RRI dynamics. Moreover, it was significantly higher in OS than in MX apneas for 9 out of 10 patients (p<;0.05). Thus, the proposed running FD estimator might enhance the capability of the simplest sleep monitoring devices to characterize sleep breathing disorders.
    2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO); 05/2014
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    ABSTRACT: Linear measures of heart rate variability (HRV) during ECG stress test has been widely questioned due to the high signal non-stationary. Such limitations can be overcome by nonlinear measures of HRV based on typical properties of chaotic systems and deterministic fractal. Very few paper addressed such issue and aim of the paper is to describe fractal behavior of HRV during exercise. A fractal analysis by Higuchi's algorithm (FD) has been performed on 26 cardiac patients during resting, stress, early and late recovery phases of ECG stress test. Results showed a significant FD increasing values from resting to stress phase that was not recovered at all immediately after the exercise, and it was slightly recovered both during early and late recovery phase. The performance of fractal analysis of HRV during and after high intensity exercise suggests that it could be a useful index assessing relevant information about underlying physiological recovery.
    2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO); 05/2014
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    ABSTRACT: Heart rate variability (HRV) decrease has been described in patients with obstructive sleep apnea syndrome (OSAS). Nevertheless, time and frequency domain methods commonly used for HRV analysis are considered not completely reliable in case of respiratory and arrhythmic disorders. On the contrary, the nonlinear approach may supply powerful and promising tools to give a better insight of the autonomic control in OSAS. In this study, power-law β exponent, fractal dimension and approximate entropy parameters are calculated on the whole night recordings of 77 OSAS patients. The relationships between each pair of the parameters are quantified and discussed, also in comparison to the theoretical models.
    2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO); 05/2014
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    ABSTRACT: The present study was aimed to assess blood flow oscillatory patterns in rat pial microcirculation by laser speckle imaging. Laser speckle methods provides maps of cerebral blood flow with elevated temporal and spatial resolution. The study was carried out on male Wistar rats. An open cranial window was prepared on the parietal region. Pial arterioles were classified by Strahler method in five orders by fluorescence microscopy. The blood flow oscillatory patterns were determined by laser speckle imaging in single pial vessels. Power spectrum analysis was performed by wavelet methods under baseline conditions. Arterioles and venules were characterized by blood flow oscillations with frequency components in the ranges 0.005-0.0095 Hz, 0.0095-0.02 Hz, 0.02-0.15 Hz, 0.15-0.5 Hz. Arterioles showed oscillations with higher total power and higher spectral density in the range 0.02-0.15 when compared with venules. Laser speckle imaging allowed us to evaluate arteriolar and venular blood flow oscillations.
    2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO); 05/2014
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    ABSTRACT: Obstructive sleep apnea syndrome (OSAS) is characterized by recurrent episodes of partial or complete upper-airway obstruction during sleep. Although cardiac autonomic impairment is involved in the development of cardiovascular disease in OSAS, the mechanism underlying this derangement is rather unknown. It can be assessed by a recently introduced analysis of the heart rate turbulence (HRT). The aim of the paper is to describe the effects of pathological respiratory pattern on HRT in OSAS. HRT has been assessed by turbulence onset (TO) and turbulence slope (TS) indexes in 20 polysomnographic recordings of severe OSAS patients, and separately calculated during both normal (NR) and obstructive apnea (OA) respiratory pattern. Results showed that, although there is an overall depressed HRT for both indexes, while the TO during OA phases is not significantly different from those of NR epochs, the TS during OA phases is very significantly higher than in NR phases. This novel finding shows a previously unknown paradoxical increase of TS during OA episodes, followed by a marked decrease during subsequent NR phases, where OSAS patient show higher sympathetic tone. Such deeper understanding of the integrated autonomic response in different OSAS pathophysiological conditions could be useful to address an overall cardiorespiratory assessment and treatment in sleep-related breathing disorders.
    Studies in health technology and informatics 01/2014; 205:506-510.
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    ABSTRACT: Heart failure (HF) is a cardiac disease associated with prominent alterations in the autonomic control of the cardiovascular system and high neurohormonal activation levels. Useful assessment tools may be heart rate variability (HRV) analysis and/or the study of norepinephrine (NPE) level. Nevertheless, traditional techniques of HRV analysis have proved not sufficient and the second is an invasive measurement. In this work the correlation between a parameter (kurtosis-K) computed by an emerging nonlinear technique, the symbolic dynamics analysis, and neurohormonal and functional parameters has been investigated. Results obtained show an interesting relationship between K and both ejection fraction and NPE. In particular, higher K values are associated to increasing NPE levels This finding could be useful for highlighting changes in HF patients otherwise detectable only with invasive examinations.
    Studies in health technology and informatics 01/2014; 205:516-520.
  • 13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013; Seville; Spain; 09/2013
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    ABSTRACT: The use of electrocardiogram as biometric has raised attention in the last decade and a wide variety of ECG features were explored to verify the feasibility of such a signal. In this work the authors aim to describe a simple template based approach to the electrocardiographic biometric identification using the morphology of individual's heartbeat. The developed algorithm was tested on different recordings made available in the Physionet public database Fantasia: two different sets of heartbeats were extracted from individual recordings one was used for the template building while the second for the tests. The performances of the algorithm are encouraging with a true acceptance rate of 99.4%, however, the procedure needs to be tested on different recordings of the same individual, or during the course of a whole day or physical activity.
    Medical Measurements and Applications Proceedings (MeMeA), 2013 IEEE International Symposium on; 01/2013
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    ABSTRACT: Arm reaching movements (ARM) are mainly used in rehabilitative settings, as robot mediated therapies, virtual reality and motion capture systems in exergaming. ARM typical consist of gaussian-like bell shaped velocity profile. No previous paper addressed in details their relationships with amplitude and speed of the movement and aim of the paper is to study existing correlations between quantitative kinematics indexes (KI) and to describe their relationships with the amplitude and the velocity of the movement in normal subjects. We studied about one thousands of horizontal and vertical ARM of 10 normal subjects at four amplitude's values (15-20-25- 30°) and at three different target velocity (20-30- 40°/s), quantitatively evaluated by symmetry, skewness, kurtosis and smoothness indexes. KI showed extremely low correlations to each other, clearly describing different ARM features, higher correlations with the velocity than with the amplitude of the movement, and in vertical antigravitary rather than horizontal ARM. Among all KI, smoothness showed the higher correlations' values, following an exponential growth relationship both with velocity and amplitude in horizontal and vertical ARM.
    Medical Measurements and Applications Proceedings (MeMeA), 2013 IEEE International Symposium on; 01/2013
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    ABSTRACT: Although symbolic dynamics analysis (SDA) has been proposed for encoding words of different length and symbols, the resulting rapidly growing number of patterns has limited its clinical use. Aim of this study is to propose new SDA indices tested on a clinical data-set. We studied 40 ECG Holter of normal (NR), post-MI (MI), heart failure (HF) and transplanted (TR) subjects. RR differences were encoded into 5 symbols, deriving 3, 5 and 7 length words classified by a dominance's criterion in pattern words with a predominant vagal content (V), decelerating content (D), accelerating content (A), sympathetic content (S) and without variability content (0). Their distributions were then quantified by Kurtosis an Chi-square indexes. Results showed an optimum word-length of 3, where both Kurtosis (2.2±0.6; 2.2±0.9; 3.1±0.9; 4.0±0.4) and Chi-square (7±5; 8±5; 26±17; 106±42, respectively for N, MI, HF and TR) showed very significant p
    Computing in Cardiology Conference (CinC), 2013; 01/2013
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    ABSTRACT: Foetal heart rate variability is considered an important parameter, capable to highlight foetal reactivity and wellbeing. Many studies focused their attention on foetal heart rate variability analysis, using different techniques both in time and frequency domain. Proposed parameters have shown some limitations, due to their inability to analyze nonlinear dynamics, involved in heart rate control and relevant for clinical aims. In the last decades, nonlinear analysis methods have gained a growing interest. Here, we described an application of a nonlinear analysis (symbolic dynamic analysis) and introduced a new index to quantify foetal heart rate variability, in a simple and concise way, in healthy foetuses near to term. The index was able to highlight differences in foetal heart rate variability, not always so evident on printed cardiotocographic signals, and resulted significantly correlated with the different kinds of delivery (spontaneous or caesarean); in particular, higher variability index values corresponded to spontaneous delivery.
    E-Health and Bioengineering Conference (EHB), 2013; 01/2013
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    ABSTRACT: Infantile Nystagmus Syndrome, or Congenital Nystagmus, is an ocular-motor disorder characterized by involuntary, conjugated and bilateral to and fro ocular oscillations. Good visual acuity in congenital nystagmus can be achieved during the foveation periods in which eye velocity slows down while the target image crosses the fovea. Visual acuity was found to be mainly dependent on the duration of the foveation periods. In this work a new approach is proposed for estimation of foveation parameters: a cubic spline interpolation of the nystagmus recording before localizing the start point of foveation window and to estimate its duration. The performances of the proposed algorithm were assessed in comparison with a previously developed algorithm, used here as gold standard. The obtained results suggest that the spline interpolation could be a useful tool to filter the eye movement recordings before applying an algorithm to estimate the foveation window parameters.
    E-Health and Bioengineering Conference (EHB), 2013; 01/2013

Publication Stats

112 Citations
1.76 Total Impact Points

Institutions

  • 2012
    • University of Naples Federico II
      • Department of Electronical Engineering and Telecommunications
      Napoli, Campania, Italy
    • Università degli Studi di Trieste
      Trst, Friuli Venezia Giulia, Italy
  • 2003
    • Istituto Nazionale Tumori "Fondazione Pascale"
      Napoli, Campania, Italy