947 research outputs found
La formazione delle professionalità per i servizi di ingegneria clinica - Il panorama attuale e sviluppi futuri
Improvement in hoarse voice denoising for real-time DSP implementation
Voice hoarseness is mainly related to airflow turbulence
in the vocal tract. It can be due to vocal fold paralysis,
polyps, cordectomisation or other dysfunction, which
alter regular speech production, and is commonly
treated as a noise component in the speech signal. A
denoising approach is proposed, based on low-order
singular value decomposition (SVD) of matrices whose
entries come from sampled speech data frames, properly
organised. A prototype DSP board implementing the
procedure was developed, by means of properly
optimised C and Assembler code. Enhanced results are
obtained with respect to a previous scheme, by
introducing a normalization step on the signal amplitude
dynamics. This allows increasing the output level, as
well as reducing click-noise, both due to the algorithm
structure and DSP implementation constraints.
Objective quality indexes are proposed, showing the
better results achieved with the proposed modifications
DSS for field hospitals planning. Technological and functional aspects
During the last 50 years natural and social disasters have increased 250 %, affecting at least 800 million people. The causes of these disasters are various and most of them are not predictable. A successful strategy is a well planned medical response. The use of Field Hospitals 'FH' specialized for the disasters and planned to guarantee high technical and medical standards is a fundamental component in reducing mortality. The DSS, Model', has allowed the planning of Field Hospitals according to the disaster typology and to the disaster area taking into account the number of people involved and the local health system capacity. The DSS specifies also Field Hospital technical requirements and technological support
Dual-Frequency Active RFID Solution for Tracking Patients in a Children's Hospital. Design Method, Test Procedure, Risk Analysis, and Technical Solution
This work addresses the problem of reliable identification and tracking of children in an intensive care unit in a children's hospital. Tracking and identification of patients are critical for the clinical risk management process, particularly for a children's hospital intensive care unit where patients' identities can easily be confused. This work offers a multilayer approach to the design of the process of identification and tracking; it gives an active radio-frequency identification (RFID) solution that best fits all the given constraints. The paper is divided in the following sections: design (where a multilayer method is provided, including project aims, functional requirements, and technical constraints); risk analysis [a failure modes and effects analysis (FMEA) method is used to assess the risks of each stage of the process of patient management]; technical solution with a specific test phase and a review of the risk analysis results. As a result of the proposed approach, we got a strong coherence between the initial aims and the technical solution, improving patient safety and reducing the clinical risk in the process of tracking and identifying patients
Hitting Sets and Reconstruction for Dense Orbits in VP_{e} and ΣΠΣ Circuits
In this paper we study polynomials in VP_{e} (polynomial-sized formulas) and in ΣΠΣ (polynomial-size depth-3 circuits) whose orbits, under the action of the affine group GL^{aff}_n() (the action of (A,b) ∈ GL^{aff}_n() on a polynomial f ∈ [x] is defined as (A,b)∘f = f(A^Tx+b)), are dense in their ambient class. We construct hitting sets and interpolating sets for these orbits as well as give reconstruction algorithms. Specifically, we obtain the following results:
1) For C_n(ℓ_1(x),…,ℓ_n(x)) ≜ Trace(\begin{pmatrix} ₁(x) & 1 \\ 1 & 0 \end{pmatrix} ⋅ … ⋅ \begin{pmatrix} _n(x) & 1 \\ 1 & 0 \end{pmatrix}), where the _is are linearly independent linear functions, we construct a polynomial-sized interpolating set, and give a polynomial-time reconstruction algorithm. By a result of Bringmann, Ikenmeyer and Zuiddam, the set of all such polynomials is dense in VP_e [Karl Bringmann et al., 2018], thus our construction gives the first polynomial-size interpolating set for a dense subclass of VP_e.
2) For polynomials of the form ANF_Δ(₁(x),…,_{4^Δ}(x)), where ANF_Δ(x) is the canonical read-once formula in alternating normal form, of depth 2Δ, and the _is are linearly independent linear functions, we provide a quasipolynomial-size interpolating set. We also observe that the reconstruction algorithm of [Ankit Gupta et al., 2014] works for all polynomials in this class. This class is also dense in VP_e.
3) Similarly, we give a quasipolynomial-sized hitting set for read-once formulas (not necessarily in alternating normal form) composed with a set of linearly independent linear functions. This gives another dense class in VP_e.
4) We give a quasipolynomial-sized hitting set for polynomials of the form f(₁(x),…,_{m}(x)), where f is an m-variate s-sparse polynomial. and the _is are linearly independent linear functions in n ≥ m variables. This class is dense in ΣΠΣ.
5) For polynomials of the form ∑_{i=1}^{s}∏_{j=1}^{d}_{i,j}(x), where the _{i,j}s are linearly independent linear functions, we construct a polynomial-sized interpolating set. We also observe that the reconstruction algorithm of [Neeraj Kayal and Chandan Saha, 2019] works for every polynomial in the class. This class is dense in ΣΠΣ. As VP = VNC², our results for VP_{e} translate immediately to VP with a quasipolynomial blow up in parameters. If any of our hitting or interpolating sets could be made robust then this would immediately yield a hitting set for the superclass in which the relevant class is dense, and as a consequence also a lower bound for the superclass. Unfortunately, we also prove that the kind of constructions that we have found (which are defined in terms of k-independent polynomial maps) do not necessarily yield robust hitting sets
Custom active RFID solution for children tracking and identifying in a resuscitation ward
In this work is discussed an active RFId system to track and identify patients in a children's critical care ward. The technical solutions may be very different according to the patients type, age and cognitive conditions and according to the hospital shapes. The proposed system to track and identify patients has been developed taking into account all the constraints induced by the particular environment. The system is composed of five different hardware devices and a tracking software, purposely designed and realized
A New Failure Analysis for Maintenance Management in Complex Hospitals
Management of medical devices in hospitals includes
the planning of medical equipment acquisition and maintenance. The
presence of critical and non-critical areas together with technological
proliferation render the management of medical devices very
complex. This study creates an easy and objective methodology for
the analysis of medical equipment maintenance, that makes the
management of medical devices more feasible. The study has been
carried out at Florence Hospital Careggi and it aims to help the
clinical engineering department to manage medical equipment by
clarifying the hospital situation through a characterization of the
different areas, technologies and fault typologies
Proposta di metodologia semiquantitativa per la valutazione del processo di accreditamento facht-netcord di una banca di sangue cordonale
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