Browsing by Keyword "Health Information Management"
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Item Implementation of signal processing methods in a structural health monitoring (SHM) system based on ultrasonic guided waves for defect detection in different materials and structures(NDT.net, 2016) Galarza, Nekane; Rubio, Benjamín; Diez, Alberto; Boto, Fernando; Gil, Daniel; Rubio, Jokin; Moreno, Eduardo; SMART_MON; Tecnalia Research & Innovation; FACTORY; INDUSTRY_THINGSThe local defect inspection in longitudinal structures such as plates or pipelines implies high economical costs and it is time consuming mainly in underground infrastructures, energy or water, and aerospace sectors. Moreover, if these structures are non-accessible, their local inspection is not possible. Ultrasonic (US) inspection technique based on guided waves is one of the potential alternatives to address this issue. The US inspection based on these type of waves could be applied in many scenarios to monitor the damage state of structures; i.e., in water underground pipelines to identify the wall thickness losses or impact damage detection on Carbon Fiber Reinforced Composites (CFRC). A SHM system based on guided waves requires a special signal processing in order to identify possible damage in the structure. The signal emitted and received is a combination of different propagation modes which are difficult to identify and analyse. However, if the signals are compared to each other (signal related to non-damaged components compared to damaged signal) it is possible to measure their difference as a distance that can be used to estimate the damage level. In this work, signals corresponding to non-damaged samples have been captured and then different types of damage have been applied for different cases. After the data acquisition phase, the comparison between signals has been carried out by applying different mathematical methods and distance metrics (SDC, DTW, Euclidean, Manhattan and Chebyshev), with the aim of detecting defects in different structures and materials. For this purpose, two cases have been analysed: 1) In CFRC plates subjected to impact damage and deformations and 2) In a pipe coated by cement-mortar in order to quantify the wall thickness losses. In both cases ultrasonic PZT sensors, an ultrasonic multichannel pulser/receiver and a software developed ad-hoc have been used. Although the SHM system components were similar, it must be noted that the type of ultrasonic guided waves used were different; in the case of CFRC plates, Lamb waves were excited whereas in the case of the pipeline, Love waves have been used. A comparison between the above mentioned methods is provided. The results show the validity of the approach for damage characterization.Item Prospect of smart home-based detection of subclinical depressive disorders(IEEE, 2011) Leon, Enrique; Montejo, Manuel; Dorronsoro, Iñigo; Tecnalia Research & Innovation; SGAging is associated with changing physical, social, emotional, and financial circumstances that are often new to the elder. The affective distress that stems from coping with them could play a negative effect on the health of seniors and lead to severe cases of depression, an emotional disorder that could lead to fatal consequences. The combination of novel methods of ambulatory detection of emotional states, body area networks providing information from numerous bodily parameters, and sophisticated pervasive technologies offers new possibilities in the detection of and intervention in cases of subclinical depression. In this paper we present the technical aspects and rationale behind systems that can use emotional valence monitoring to quantify prolonged emotional negativity and identify the activities associated with such negativity. We argue that this as a suitable mechanism to facilitate ambient-mediated self-regulation and remote peer-support.Item Smart Protocols for Physical Therapy of Foot Drop Based on Functional Electrical Stimulation: A Case Study: A case study(2021-04-26) Malešević, Jovana; Konstantinović, Ljubica; Bijelić, Goran; Malešević, Nebojša; SG; MercadoFunctional electrical stimulation (FES) is used for treating foot drop by delivering electrical pulses to the anterior tibialis muscle during the swing phase of gait. This treatment requires that a patient can walk, which is mostly possible in the later phases of rehabilitation. In the early phase of recovery, the therapy conventionally consists of stretching exercises, and less commonly of FES delivered cyclically. Nevertheless, both approaches minimize patient engagement, which is inconsistent with recent findings that the full rehabilitation potential could be achieved by an active psycho-physical engagement of the patient during physical therapy. Following this notion, we proposed smart protocols whereby the patient sits and ankle movements are FES-induced by self-control. In six smart protocols, movements of the paretic ankle were governed by the non-paretic ankle with different control strategies, while in the seventh voluntary movements of the paretic ankle were used for stimulation triggering. One stroke survivor in the acute phase of recovery participated in the study. During the therapy, the patient’s voluntary ankle range of motion increased and reached the value of normal gait after 15 sessions. Statistical analysis did not reveal the differences between the protocols in FES-induced movements.