Giovanni Saggio

Giovanni Saggio
University of Rome Tor Vergata | UNIROMA2 · Dipartimento di Ingegneria Elettronica

Ph.D.

About

200
Publications
48,564
Reads
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1,889
Citations
Additional affiliations
January 1993 - December 1994
Italian National Research Council
Position
  • Fellow

Publications

Publications (200)
Article
Alongside the currently used nasal swab testing, the COVID-19 pandemic situation would gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a large-scale, and with real time answers. A novel approach for COVID-19 assessment is adopted here, discriminating negative subjects versus positive or recovered subjects...
Chapter
We designed, developed and validated a bone conduction-based hand pose sensing wireless and wearable system, capable of distinguishing different hand gestures and enabling the evaluation of the pose angles of the fingers. The system can be used as a valuable alternative to sensory gloves, image processing or electromyographic signal analysis. BCHS...
Chapter
We proposed and addressed methods for using multiple energy harvesting strategies to power a wearable sensory glove. The capabilities of piezoelectric and thermal energy harvesters were reported, with hand motions and body heat used to these goals. A potential multi-input single-output DC-DC architecture was proposed to harvest energy from the two...
Chapter
We implemented a Bluetooth Low Energy system concerning the acquisition, encryption, wireless transmission, and reconstruction of the electromyographic signal for prosthetic control. The system is expandable with other devices supporting Bluetooth and is a valuable alternative to the current proprietary implantable EMG systems, which use restricted...
Chapter
We designed, fabricated, and validated a piezoresistive bending sensor, a fundamental component of wearable electronic devices for monitoring human motion. The most diffused opaque carbon-based resistance flex sensors suffer from low detection for small bending angles. The sensor we here present is based on a semi-transparent active material (fulle...
Chapter
We designed, fabricated, and tested a UHF RFID-based wireless system for electromyographic sensing, differently from the usual RFID employment on TAGs. The design leads to a fully integrated system, not electromagnetically interfering with the analogic part of the board, thus preserving the very low signal coming from the electromyographic activity...
Article
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Background. It has been shown in the very recent literature that human walking generates rhythmic motor patterns with hidden time harmonic structures that are represented (at the subject’s comfortable speed) by the occurrence of the golden ratio as the the ratio of the durations of specific walking gait subphases. Such harmonic proportions may be a...
Article
Objective: In order to evaluate Parkinson disease patients response to therapeutic interventions, sources of information are mainly patient reports and clinicians assessment of motor functions. However, these sources can suffer from patients subjectivity and from inter/intra raters score variability. Our work aimed at determining the impact of wea...
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IntroductionParkinson's disease (PD) is characterized by specific voice disorders collectively termed hypokinetic dysarthria. We here investigated voice changes by using machine learning algorithms, in a large cohort of patients with PD in different stages of the disease, OFF and ON therapy.Methods We investigated 115 patients affected by PD (mean...
Article
Arm-and-hand tracking by technological means allows gathering data that can be elaborated for determining gesture meaning. To this aim, machine learning (ML) algorithms have been mostly investigated looking for a balance between the highest recognition rate and the lowest recognition time. However, this balance comes mainly from statistical models,...
Article
This work aims to provide details on the latest technological developments regarding LiDAR (Light Imaging Detection And Ranging) systems, with particular reference to the techniques, architectures, and methodologies partially or entirely implemented by means of the FPGA (Field Programmable Gate Array) environment. Currently, LiDAR technology is con...
Article
Many virological tests have been implemented during the COVID-19 pandemic for diagnostic purposes, but they appear unsuitable for screening purposes. Furthermore, current screening strategies are not accurate enough to effectively curb the spread of the disease. Therefore, the present study was conducted within a controlled clinical environment to...
Article
Wireless communication with Implantable Medical Devices (IMDs) based on Radiofrequency Identification in the UHF band suffers from the constraints on the maximum power absorbed by the body tissues. Accordingly, an interrogating antenna placed onto the skin is capable to monitor only a limited region just below its footprint. In some applications li...
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Early noninvasive reliable biomarkers are among the major unmet needs in Parkinson's disease (PD) to monitor therapy response and disease progression. Objective measures of motor performances could allow phenotyping of subtle, undetectable, early stage motor impairments of PD patients. This work aims at identifying prognostic biomarkers in newly di...
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Healthy and pathological human walking are here interpreted, from a temporal point of view, by means of dynamics-on-graph concepts and generalized finite-length Fibonacci sequences. Such sequences, in their most general definition, concern two sets of eight specific time intervals for the newly defined composite gait cycle, which involves two speci...
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We realized and tested a novel system aimed at discriminating different hand poses by means of an active actuating and sensing approach realized by converting electromagnetic-to-mechanical waves (and vice-versa) and analyzing the characteristics of the waves after their travel through the bones and cartilage of the hand. The actuating part is reali...
Article
This study compares the simultaneous measurements of finger joint angles obtained with a myoelectric armband (Myo), composed of eight surface electromyography (sEMG) sensors mounted on an elastic support, and a data glove, equipped with ten flex sensor on metacarpal and proximal finger joints. The flexion angles of all finger joints in four hand po...
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Myotonic dystrophy type 1 (DM1) is a genetic inherited autosomal dominant disease characterized by multisystem involvement, including muscle, heart, brain, eye, and endocrine system. Although several methods are available to evaluate muscle strength, endurance, and dexterity, there are no validated outcome measures aimed at objectively evaluating q...
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Full-text available
Background: Patients with essential tremor have upper limb postural and action tremor often associated with voice tremor. The objective of this study was to objectively examine voice tremor and its response to symptomatic pharmacological treatment in patients with essential tremor using voice analysis consisting of power spectral analysis and mach...
Conference Paper
Full-text available
Adductor-type spasmodic dysphonia (ASD) is a task-specific speech disorder characterized by a strangled and strained voice. We have previously demonstrated that advanced voice analysis, performed with support vector machine, can objectively quantify voice impairment in dysphonic patients, also evidencing results of voice improvements due to symptom...
Article
Sign languages (SLs) can aid in improving the communication between hearing impaired and hearing communities, but only a limited number of hearing individuals understand it. SL recognition systems tackle this issue by using sensors to acquire gesture data later converted into spoken or written language by means of machine-learning algorithms. Withi...
Article
The voice results in acoustic signals analyzed and synthetized at first for telecommunication matters, and more recently investigated for medical purposes. In particular, voice signal characteristics can evidence individual health conditions useful for screening, diagnostic and remote monitoring aims. Within this frame, the knowledge of baseline fe...
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In this study, a novel bithiophene‐fulleropyrrolidine bisadducts system (bis‐Th2PC 60 ) was synthesized and electropolymerized by chronoamperometry onto flexible ITO/PET substrates. The resulting semitransparent thin film was characterized by XPS, FT‐IR, cyclic voltammetry and optical techniques, confirming the good outcome of the electropolymeriza...
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Background: Experimental studies using qualitative or quantitative analysis have demonstrated that the human voice progressively worsens with ageing. These studies, however, have mostly focused on specific voice features without examining their dynamic interaction. To examine the complexity of age-related changes in voice, more advanced techniques...
Article
Currently, the gold-standard method of assessing human motion is by means of optoelectronic analysis systems. However, such systems have some drawbacks (time-consuming procedure, specialized room, expensive, ..) and therefore other analysis systems are gaining in importance. Here, we report a novel inertial-sensor based system (Movit System G1, by...
Article
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We propose a sign language recognition system based on wearable electronics and two different classification algorithms. The wearable electronics were made of a sensory glove and inertial measurement units to gather fingers, wrist, and arm/forearm movements. The classifiers were k-Nearest Neighbors with Dynamic Time Warping (that is a non-parametri...
Article
Introduction Adductor-type spasmodic dysphonia is a task-specific focal dystonia characterized by involuntary laryngeal muscle spasms. Due to the lack of quantitative instrumental tools, voice assessment in patients with adductor-type spasmodic dysphonia is mainly based on qualitative neurologic examination. We evaluated patients with cepstral anal...
Conference Paper
Full-text available
Correct screening and diagnosis are fundamental for healthcare purposes, to obtain which medical doctors rely on different medical tests to gather knowledges as support to clinical decisions, but which can result with different severities of invasiveness and painfulness. During latest decades, the medical tests seem to trend towards a sensible redu...
Article
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Currently, clinical evaluation represents the primary outcome measure in Parkinson's disease (PD). However, clinical evaluation may underscore some subtle motor impairments, hidden from the visual inspection of examiners. Technology-based objective measures are more frequently utilized to assess motor performance and objectively measure motor dysfu...
Article
Advanced prostheses for recovery of arm amputation can be nowadays controlled by the electromyographic (EMG) signals. Implanted myoelectric sensors, suitable to transcutaneous wireless reading, permit to improve the signal-to-noise ratio. This paper explores the feasibility of a through-the-arm telemetry link based on the radiofrequency identificat...
Article
Full-text available
Background: Technology-based objective measures (TOMs) recently gained relevance to support clinicians in the assessment of motor function in Parkinson's disease (PD), although limited data are available in the early phases. Objective: To assess motor performances of a population of newly diagnosed, drug free PD patients using wearable inertial...
Preprint
Full-text available
Human maintain their body balance by sensorimotor controls mainly based on information gathered from vision, proprioception and vestibular systems. When there is a lack of information, caused by pathologies, diseases or aging, the subject may fall. In this context, we developed a system to augment information gathering, providing the subject with w...
Preprint
Full-text available
Due to the fact that no study to date has shown the experimental validity of ACC-based measures of body sway with respect to posturography for subjects with vestibular deficits, the aim of the present study was: i) to develop and validate a practical tool that can allow clinicians to measure postural sway derangements in an otoneurological setting...
Article
In this work, we present a novel multisensory electronic architecture that can work with very low voltage requirements thus enabling power management directly from harvesting-based low-voltage sources. The harvesting system here proposed relays on thermoelectric generator cells useful for furnishing additional power to an electronic system made of...
Article
Tetraplegic people need continuous assistance in every daily activity. Assistive technologies can improve, to a certain degree, their quality of life allowing partial autonomy with powering their residual capability of movements. In this work, we propose a novel wire-free low-cost user-friendly battery-operated sensory headwear, which allows home a...
Article
Full-text available
We here present a 10-17 Degrees of Freedom (DoF) sensory gloves for Smart Healthcare implementing an energy harvesting architecture, aimed at enhancing the battery lasting when powering the electronics of the two different types of gloves, used to sense fingers movements. In particular, we realized a comparison in terms of measurement repeatability...
Article
Objective: The complex nature of Parkinson's disease (PD) makes difficult to rate its severity, mainly based on visual inspection of motor impairments. Wearable sensors have been demonstrated to help overcoming such a difficulty, by providing objective measures of motor abnormalities. However, up to now those sensors have been used on advanced PD...
Book
This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018, held in Funchal, Madeira, Portugal, in January 2018. The 25 revised full papers presented were carefully reviewed and selected from a total of 299 submissions. The pap...
Article
Developmental coordination disorder (DCD) and attention-deficit hyperactivity disorder (ADHD) are neuro-developmental disorders, starting in childhood, which can affect the planning of movements and the coordination. We investigated how and in which measure a system based on wearable inertial measurement units (IMUs) can provide an objective suppor...
Conference Paper
Full-text available
We present a multi-source energy harvesting architecture, aimed to enhancing the battery last in powering the electronics of a sensory glove, capable to sense fingers movements. In particular, the proposed architecture is based on Radio Frequency, Piezoelectric and Thermoelectric harvesters. The glove is equipped with flex sensors and built-in elec...
Chapter
Full-text available
The median sternotomy can rise in rib and/or sternum micro/macro-fractures and/or brachial plexus injuries, which can even evolve in chronic pain with significant impact on patient’s quality life. Post-sternotomy chronic pain is recognized as a multifactorial complex issue, and it has been assessed that sternum retraction forces, applied by the sur...
Article
Mesoangioblasts are outstanding candidates for stem cell therapy and are already being explored in clinical trials. However, a crucial challenge in regenerative medicine is the limited availability of undifferentiated myogenic progenitor cells, since growth is typically accompanied by differentiation. Here reversible myogenic-differentiation-switch...
Article
Full-text available
Human maintain their body balance by sensorimotor controls mainly based on information gathered from vision, proprioception and vestibular systems. When there is a lack of information, caused by pathologies, diseases or aging, the subject may fall. In this context, we developed a system to augment information gathering, providing the subject with w...
Article
Resistive flex sensors were increasingly used in different areas for their interesting property to change their resistance when bent. In particular, they can be applied to human segment in biomedical devices to register static and dynamic postures. In spite of their interesting properties, such as robustness, low price and long life, they often dem...
Article
Full-text available
Manual dexterity is one of the most important surgical skills, and yet there are limited instruments to evaluate this ability objectively. In this paper, we propose a system designed to track surgeons’ hand movements during simulated open surgery tasks and to evaluate their manual expertise. Eighteen participants, grouped according to their surgica...
Conference Paper
Full-text available
In aircraft scenarios the proper interpretation of communication meanings is mandatory for security reasons. In particular some communications, occurring between the signalman and the pilot, rely on arm-and-hand visual signals, which can be prone to misunderstanding in some circumstances as it can be, for instance, because of low-visibility. This w...
Article
Full-text available
Since changes in vestibular function may be one cause of disequilibrium, major advances in measuring postural control and sensory integration in vestibular impairments have been achieved by using posturography. However, in order to overcome problems related to this type of technology, body-worn accelerometers (ACC) have been proposed as a portable,...
Article
Full-text available
This study is aimed at identifying the collateral circulation in case of femoral-aorta-iliac axis obstruction, with the purpose of a more correct therapeutic indication being either medical or surgical or physiotherapeutic or combined.
Article
Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in human–computer interaction (HCI). Their success is due to their versatility, robustness and large availability of free dedicated toolboxes. Frequently in the literature, insufficient details about the SVM implementation and/or parameters selection are...