1
|
Sigcha L, Polvorinos-Fernández C, Costa N, Costa S, Arezes P, Gago M, Lee C, López JM, de Arcas G, Pavón I. Monipar: movement data collection tool to monitor motor symptoms in Parkinson's disease using smartwatches and smartphones. Front Neurol 2023; 14:1326640. [PMID: 38148984 PMCID: PMC10750794 DOI: 10.3389/fneur.2023.1326640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 11/21/2023] [Indexed: 12/28/2023] Open
Abstract
Introduction Parkinson's disease (PD) is a neurodegenerative disorder commonly characterized by motor impairments. The development of mobile health (m-health) technologies, such as wearable and smart devices, presents an opportunity for the implementation of clinical tools that can support tasks such as early diagnosis and objective quantification of symptoms. Objective This study evaluates a framework to monitor motor symptoms of PD patients based on the performance of standardized exercises such as those performed during clinic evaluation. To implement this framework, an m-health tool named Monipar was developed that uses off-the-shelf smart devices. Methods An experimental protocol was conducted with the participation of 21 early-stage PD patients and 7 healthy controls who used Monipar installed in off-the-shelf smartwatches and smartphones. Movement data collected using the built-in acceleration sensors were used to extract relevant digital indicators (features). These indicators were then compared with clinical evaluations performed using the MDS-UPDRS scale. Results The results showed moderate to strong (significant) correlations between the clinical evaluations (MDS-UPDRS scale) and features extracted from the movement data used to assess resting tremor (i.e., the standard deviation of the time series: r = 0.772, p < 0.001) and data from the pronation and supination movements (i.e., power in the band of 1-4 Hz: r = -0.662, p < 0.001). Conclusion These results suggest that the proposed framework could be used as a complementary tool for the evaluation of motor symptoms in early-stage PD patients, providing a feasible and cost-effective solution for remote and ambulatory monitoring of specific motor symptoms such as resting tremor or bradykinesia.
Collapse
Affiliation(s)
- Luis Sigcha
- Instrumentation and Applied Acoustics Research Group (I2A2), ETSI Industriales, Universidad Politécnica de Madrid, Madrid, Spain
- ALGORITMI Research Center, School of Engineering, University of Minho, Guimarães, Portugal
| | - Carlos Polvorinos-Fernández
- Instrumentation and Applied Acoustics Research Group (I2A2), ETSI Industriales, Universidad Politécnica de Madrid, Madrid, Spain
| | - Nélson Costa
- ALGORITMI Research Center, School of Engineering, University of Minho, Guimarães, Portugal
| | - Susana Costa
- ALGORITMI Research Center, School of Engineering, University of Minho, Guimarães, Portugal
| | - Pedro Arezes
- ALGORITMI Research Center, School of Engineering, University of Minho, Guimarães, Portugal
| | - Miguel Gago
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
| | - Chaiwoo Lee
- AgeLab, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Juan Manuel López
- Escuela Técnica Superior de Ingeniería y Sistemas de Telecomunicación (ETSIT), Universidad Politécnica de Madrid, Madrid, Spain
| | - Guillermo de Arcas
- Instrumentation and Applied Acoustics Research Group (I2A2), ETSI Industriales, Universidad Politécnica de Madrid, Madrid, Spain
| | - Ignacio Pavón
- Instrumentation and Applied Acoustics Research Group (I2A2), ETSI Industriales, Universidad Politécnica de Madrid, Madrid, Spain
| |
Collapse
|
2
|
García-Peña P, Ramos M, López JM, Martinez-Murillo R, de Arcas G, Gonzalez-Nieto D. Preclinical examination of early-onset thalamic-cortical seizures after hemispheric stroke. Epilepsia 2023; 64:2499-2514. [PMID: 37277947 DOI: 10.1111/epi.17675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 06/02/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023]
Abstract
OBJECTIVE Ischemic stroke is one of the main causes of death and disability worldwide and currently has limited treatment options. Electroencephalography (EEG) signals are significantly affected in stroke patients during the acute stage. In this study, we preclinically characterized the brain electrical rhythms and seizure activity during the hyperacute and late acute phases in a hemispheric stroke model with no reperfusion. METHODS EEG signals and seizures were studied in a model of hemispheric infarction induced by permanent occlusion of the middle cerebral artery (pMCAO), which mimics the clinical condition of stroke patients with permanent ischemia. Electrical brain activity was also examined using a photothrombotic (PT) stroke model. In the PT model, we induced a similar (PT group-1) or smaller (PT group-2) cortical lesion than in the pMCAO model. For all models, we used a nonconsanguineous mouse strain that mimics human diversity and genetic variation. RESULTS The pMCAO hemispheric stroke model exhibited thalamic-origin nonconvulsive seizures during the hyperacute stage that propagated to the thalamus and cortex. The seizures were also accompanied by progressive slowing of the EEG signal during the acute phase, with elevated delta/theta, delta/alpha, and delta/beta ratios. Cortical seizures were also confirmed in the PT stroke model of similar lesions as in the pMCAO model, but not in the PT model of smaller injuries. SIGNIFICANCE In the clinically relevant pMCAO model, poststroke seizures and EEG abnormalities were inferred from recordings of the contralateral hemisphere (noninfarcted hemisphere), emphasizing the reciprocity of interhemispheric connections and that injuries affecting one hemisphere had consequences for the other. Our results recapitulate many of the EEG signal hallmarks seen in stroke patients, thereby validating this specific mouse model for the examination of the mechanistic aspects of brain function and for the exploration of the reversion or suppression of EEG abnormalities in response to neuroprotective and anti-epileptic therapies.
Collapse
Affiliation(s)
- Pablo García-Peña
- Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Madrid, Spain
| | - Milagros Ramos
- Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Madrid, Spain
- Departamento de Tecnología Fotónica y Bioingeniería, ETSI Telecomunicaciones, Universidad Politécnica de Madrid, Madrid, Spain
- Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - Juan M López
- Instrumentation and Applied Acoustics Research Group (I2A2), Universidad Politécnica de Madrid, Madrid, Spain
| | | | - Guillermo de Arcas
- Instrumentation and Applied Acoustics Research Group (I2A2), Universidad Politécnica de Madrid, Madrid, Spain
- Departamento de Ingeniería Mecánica, ETSI Industriales, Universidad Politécnica de Madrid, Madrid, Spain
- Laboratorio de Neuroacústica, Universidad Politécnica de Madrid, Madrid, Spain
| | - Daniel Gonzalez-Nieto
- Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, Madrid, Spain
- Departamento de Tecnología Fotónica y Bioingeniería, ETSI Telecomunicaciones, Universidad Politécnica de Madrid, Madrid, Spain
- Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
| |
Collapse
|
3
|
González D, Bruña R, Martínez-Castrillo JC, López JM, de Arcas G. First Longitudinal Study Using Binaural Beats on Parkinson Disease. Int J Neural Syst 2023; 33:2350027. [PMID: 37085963 DOI: 10.1142/s0129065723500272] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
This paper describes a longitudinal study to analyze the effects of acoustic stimulation with Binaural Beats (BBs) at 14[Formula: see text]Hz (beta band) in patients with Parkinson's Disease (PD). Participants ([Formula: see text], age [Formula: see text], stage [Formula: see text] Hoehn and Yahr scale) listened to binaural stimulation for 10[Formula: see text]min a day, 3 days a week, during six months and were assessed 3 times during this period using electroencephalography (EEG), cognitive (PD-CRS), quality of life (PDQ-39) and wearing-off (WOQ-19) tests. During each assessment (basal, and after 3 and 6 months), the relative power in theta band was analyzed before, during and after the stimulation. Focusing the analysis on the motor cortex, the results obtained have confirmed the initial hypothesis for the first session, but they have shown a habituation effect which decreases its efficiency with time. Also, different reactions have been detected among individuals, with some reacting as expected from the beginning, while others would react in an opposite way at the beginning but they have shown afterwards a tendency towards the expected outcome. Anyhow, the relative power of the theta band was reduced between the first and the last session for more than half of the participants, although with very different values. Subtle changes have also been observed in some items of the PD-CRS, PDQ-39 and WOQ-19 tests.
Collapse
Affiliation(s)
- David González
- Instrumentation and Applied Acoustic Research Group (I2A2), Universidad Politécnica de Madrid (UPM), Campus Sur UPM - Carretera de Valencia km 7, 28031 Madrid, Spain
| | - Ricardo Bruña
- Center for Cognitive and Computational Neuroscience (C3N), Facultad de Psicología, Universidad Complutense de Madrid, Campus de Somosaguas, 28223 Pozuelo de Alarcón, Madrid, Spain
- Department of Radiology, Rehabilitation and Physical Therapy, Facultad de Medicina, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Instituto de Investigación Sanitaria San Carlos (IdISSC), Hospital Clínico San Carlos, Calle del Prof Martín Lagos, s/n, 28040 Madrid, Spain
| | - Juan Carlos Martínez-Castrillo
- Unidad de Trastornos del Movimiento-CSUR, Servicio de Neurología, IRYCIS. Hospital Universitario Ramón y Cajal. Carretera de Colmenar Viejo, Km 9,1 CP 28034 Madrid, Spain
| | - Juan Manuel López
- Instrumentation and Applied Acoustic Research Group (I2A2), Universidad Politécnica de Madrid (UPM), Campus Sur UPM - Carretera de Valencia km 7, 28031 Madrid, Spain
| | - Guillermo de Arcas
- Instrumentation and Applied Acoustic Research Group (I2A2), Universidad Politécnica de Madrid (UPM), Campus Sur UPM - Carretera de Valencia km 7, 28031 Madrid, Spain
| |
Collapse
|
4
|
Ramos-Romero C, Asensio C, Moreno R, de Arcas G. Urban Road Surface Discrimination by Tire-Road Noise Analysis and Data Clustering. Sensors (Basel) 2022; 22:9686. [PMID: 36560056 PMCID: PMC9782375 DOI: 10.3390/s22249686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/08/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
The surface condition of roadways has direct consequences on a wide range of processes related to the transportation technology, quality of road facilities, road safety, and traffic noise emissions. Methods developed for detection of road surface condition are crucial for maintenance and rehabilitation plans, also relevant for driving environment detection for autonomous transportation systems and e-mobility solutions. In this paper, the clustering of the tire-road noise emission features is proposed to detect the condition of the wheel tracks regions during naturalistic driving events. This acoustic-based methodology was applied in urban areas under nonstop real-life traffic conditions. Using the proposed method, it was possible to identify at least two groups of surface status on the inspected routes over the wheel-path interaction zone. The detection rate on urban zone reaches 75% for renewed lanes and 72% for distressed lanes.
Collapse
Affiliation(s)
| | - César Asensio
- ETSI Sistemas de Telecomunicación, Departamento de Ingeniería Audiovisual y Comunicaciones, Grupo de Investigación en Instrumentación y Acústica Aplicada (I2A2), Universidad Politécnica de Madrid, 28031 Madrid, Spain
| | - Ricardo Moreno
- Institute for Chemical-Physical Processes of the Italian Research Council (CNR-IPCF), Via Giuseppe Moruzzi 1, 56124 Pisa, Italy
| | - Guillermo de Arcas
- ETSI Sistemas de Telecomunicación, Departamento de Ingeniería Audiovisual y Comunicaciones, Grupo de Investigación en Instrumentación y Acústica Aplicada (I2A2), Universidad Politécnica de Madrid, 28031 Madrid, Spain
| |
Collapse
|
5
|
Asensio C, Pavón I, de Arcas G. How the COVID-19 Pandemic Muted and Remixed the World's Acoustics for a While. Curr Pollut Rep 2022; 8:328-340. [PMID: 36258901 PMCID: PMC9561339 DOI: 10.1007/s40726-022-00236-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 08/29/2022] [Indexed: 06/16/2023]
Abstract
PURPOSE OF REVIEW This review aims to analyze the effects of the pandemic on the world's sound environment. RECENT FINDINGS The confinements associated with the pandemic led to a reduction in sound levels worldwide and a change in the perception of soundscapes in the absence of traffic noise and human-generated noise. SUMMARY In response to the COVID-19 pandemic, many countries and regions around the world adopted a series of interventions in 2020 that have been referred to as "lockdown" or "confinement." These sets of restrictions had a clear and obvious consequence derived from the absence of people in the streets and the reduction of daily activity and commuting, which caused an unprecedented silencing on a large scale. Along with the silence that ensued, the pandemic and the confinements affected acoustics and our relationship with sounds on different scales. In the cities, this phenomenon had a strong reduction in acoustic intensity due to the absence of vehicles on the streets. Perhaps this was more perceptible in our neighborhoods, with notable changes in their soundscapes, first due to the absence of people in the streets and later due to more outdoor activity derived from the fear of the spread of the virus in indoor spaces. The longer periods of time spent in our homes during the lockdowns also highlighted the importance of sound insulation in buildings and the acoustic conditioning of our schools or homes.
Collapse
Affiliation(s)
- César Asensio
- Universidad Politécnica de Madrid (Instrumentation and Applied Acoustics Research Group), Madrid, Spain
| | - Ignacio Pavón
- Universidad Politécnica de Madrid (Instrumentation and Applied Acoustics Research Group), Madrid, Spain
| | - Guillermo de Arcas
- Universidad Politécnica de Madrid (Instrumentation and Applied Acoustics Research Group), Madrid, Spain
| |
Collapse
|
6
|
Sio-Sever A, Lopez JM, Asensio-Rivera C, Vizan-Idoipe A, de Arcas G. Improved Estimation of End-Milling Parameters from Acoustic Emission Signals Using a Microphone Array Assisted by AI Modelling. Sensors (Basel) 2022; 22:3807. [PMID: 35632214 PMCID: PMC9146282 DOI: 10.3390/s22103807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 05/15/2022] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
This paper presents the implementation of a measurement system that uses a four microphone array and a data-driven algorithm to estimate depth of cut during end milling operations. The audible range acoustic emission signals captured with the microphones are combined using a spectral subtraction and a blind source separation algorithm to reduce the impact of noise and reverberation. Afterwards, a set of features are extracted from these signals which are finally fed into a nonlinear regression algorithm assisted by machine learning techniques for the contactless monitoring of the milling process. The main advantages of this algorithm lie in relatively simple implementation and good accuracy in its results, which reduce the variance of the current noncontact monitoring systems. To validate this method, the results have been compared with the values obtained with a precision dynamometer and a geometric model algorithm obtaining a mean error of 1% while maintaining an STD below 0.2 mm.
Collapse
Affiliation(s)
- Andrés Sio-Sever
- Grupo de Investigación en Instrumentación y Acústica Aplicada, Departamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, 28040 Madrid, Spain
| | - Juan Manuel Lopez
- Grupo de Investigación en Instrumentación y Acústica Aplicada, Departamento de Telemática y Electrónica, Universidad Politécnica de Madrid, 28040 Madrid, Spain;
| | - César Asensio-Rivera
- Grupo de Investigación en Instrumentación y Acústica Aplicada, Departamento de Teoria de la Señal y Comunicaciones, Universidad Politécnica de Madrid, 28040 Madrid, Spain;
| | - Antonio Vizan-Idoipe
- Departamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, 28006 Madrid, Spain;
| | - Guillermo de Arcas
- Grupo de Investigación en Instrumentación y Acústica Aplicada, Departamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, 28040 Madrid, Spain
| |
Collapse
|
7
|
Herrero MA, Gallego R, Ramos M, Lopez JM, de Arcas G, Gonzalez-Nieto D. Sleep-Wake Cycle and EEG-Based Biomarkers during Late Neonate to Adult Transition. Brain Sci 2021; 11:brainsci11030298. [PMID: 33673399 PMCID: PMC7996792 DOI: 10.3390/brainsci11030298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 02/17/2021] [Accepted: 02/24/2021] [Indexed: 11/27/2022] Open
Abstract
During the transition from neonate to adulthood, brain maturation establishes coherence between behavioral states—wakefulness, non-rapid eye movement, and rapid eye movement sleep. In animal models few studies have characterized and analyzed cerebral rhythms and the sleep–wake cycle in early ages, in relation to adulthood. Since the analysis of sleep in early ages can be used as a predictive model of brain development and the subsequent emergence of neural disturbances in adults, we performed a study on late neonatal mice, an age not previously characterized. We acquired longitudinal 24 h electroencephalogram and electromyogram recordings and performed time and spectral analyses. We compared both age groups and found that late neonates: (i) spent more time in wakefulness and less time in non-rapid eye movement sleep, (ii) showed an increased relative band power in delta, which, however, reduced in theta during each behavioral state, (iii) showed a reduced relative band power in beta during wakefulness and non-rapid eye movement sleep, and (iv) manifested an increased total power over all frequencies. The data presented here might have implications expanding our knowledge of cerebral rhythms in early ages for identification of potential biomarkers in preclinical models of neurodegeneration.
Collapse
Affiliation(s)
- Miguel A. Herrero
- Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Spain; (M.A.H.); (R.G.); (M.R.)
- Departamento de Tecnología Fotónica y Bioingeniería, ETSI Telecomunicaciones, Universidad Politécnica de Madrid, 28040 Madrid, Spain
- Instrumentation and Applied Acoustics Research Group (I2A2), ETSI Topografía, Universidad Politécnica de Madrid, 28031 Madrid, Spain;
- Laboratorio de Neuroacústica, Universidad Politécnica de Madrid, 28031 Madrid, Spain
| | - Rebeca Gallego
- Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Spain; (M.A.H.); (R.G.); (M.R.)
| | - Milagros Ramos
- Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Spain; (M.A.H.); (R.G.); (M.R.)
- Departamento de Tecnología Fotónica y Bioingeniería, ETSI Telecomunicaciones, Universidad Politécnica de Madrid, 28040 Madrid, Spain
- Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain
| | - Juan Manuel Lopez
- Instrumentation and Applied Acoustics Research Group (I2A2), ETSI Topografía, Universidad Politécnica de Madrid, 28031 Madrid, Spain;
- Laboratorio de Neuroacústica, Universidad Politécnica de Madrid, 28031 Madrid, Spain
- Departamento de Ingeniería Telemática y Electrónica, ETSI Sistemas de Telecomunicación, Universidad Politécnica de Madrid, 28031 Madrid, Spain
| | - Guillermo de Arcas
- Instrumentation and Applied Acoustics Research Group (I2A2), ETSI Topografía, Universidad Politécnica de Madrid, 28031 Madrid, Spain;
- Laboratorio de Neuroacústica, Universidad Politécnica de Madrid, 28031 Madrid, Spain
- Departamento de Ingeniería Mecánica, ETSI Industriales, Universidad Politécnica de Madrid, 28006 Madrid, Spain
- Correspondence: (G.d.A.); (D.G.-N.); Tel.: +34-910678951 (G.d.A.); +34-910679280 (D.G.-N.)
| | - Daniel Gonzalez-Nieto
- Center for Biomedical Technology (CTB), Universidad Politécnica de Madrid, 28223 Pozuelo de Alarcón, Spain; (M.A.H.); (R.G.); (M.R.)
- Departamento de Tecnología Fotónica y Bioingeniería, ETSI Telecomunicaciones, Universidad Politécnica de Madrid, 28040 Madrid, Spain
- Laboratorio de Neuroacústica, Universidad Politécnica de Madrid, 28031 Madrid, Spain
- Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain
- Correspondence: (G.d.A.); (D.G.-N.); Tel.: +34-910678951 (G.d.A.); +34-910679280 (D.G.-N.)
| |
Collapse
|
8
|
Asensio C, Pavón I, de Arcas G. Changes in noise levels in the city of Madrid during COVID-19 lockdown in 2020. J Acoust Soc Am 2020; 148:1748. [PMID: 33003833 PMCID: PMC7857494 DOI: 10.1121/10.0002008] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 09/01/2020] [Accepted: 09/08/2020] [Indexed: 05/20/2023]
Abstract
The lockdown that Madrid has suffered during the months of March to June 2020 to try to control and minimize the spread of COVID-19 has significantly altered the acoustic environment of the city. The absence of vehicles and people on the streets has led to a noise reduction captured by the monitoring network of the City of Madrid. In this article, an analysis has been carried out to describe the reduction in noise pollution that has occurred and to analyze the changes in the temporal patterns of noise, which are strongly correlated with the adaptation of the population's activity and behavior to the new circumstances. The reduction in the sound level ranged from 4 to 6 dBA for the indicators Ld, Le, and Ln, and this is connected to a significant variation in the daily time patterns, especially during weekends, when the activity started earlier in the morning and lasted longer at midday, decreasing significantly in the afternoon.
Collapse
Affiliation(s)
- César Asensio
- Instrumentation and Applied Acoustics Research Group, Universidad Politécnica de Madrid, Madrid, c/ Mercator 3, 28031 Madrid, Spain
| | - Ignacio Pavón
- Instrumentation and Applied Acoustics Research Group, Universidad Politécnica de Madrid, Madrid, c/ Mercator 3, 28031 Madrid, Spain
| | - Guillermo de Arcas
- Instrumentation and Applied Acoustics Research Group, Universidad Politécnica de Madrid, Madrid, c/ Mercator 3, 28031 Madrid, Spain
| |
Collapse
|
9
|
Asensio C, Aumond P, Can A, Gascó L, Lercher P, Wunderli JM, Lavandier C, de Arcas G, Ribeiro C, Muñoz P, Licitra G. A Taxonomy Proposal for the Assessment of the Changes in Soundscape Resulting from the COVID-19 Lockdown. Int J Environ Res Public Health 2020. [PMID: 32545587 DOI: 10.3390/ijerph17124205.a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Many countries around the world have chosen lockdown and restrictions on people's mobility as the main strategies to combat the COVID-19 pandemic. These actions have significantly affected environmental noise and modified urban soundscapes, opening up an unprecedented opportunity for research in the field. In order to enable these investigations to be carried out in a more harmonized and consistent manner, this paper makes a proposal for a set of indicators that will enable to address the challenge from a number of different approaches. It proposes a minimum set of basic energetic indicators, and the taxonomy that will allow their communication and reporting. In addition, an extended set of descriptors is outlined which better enables the application of more novel approaches to the evaluation of the effect of this new soundscape on people's subjective perception.
Collapse
Affiliation(s)
- César Asensio
- Instrumentation and Applied Acoustics Research group (I2A2), Universidad Politécnica de Madrid, 28031 Madrid, Spain
| | - Pierre Aumond
- UMRAE, Univ Gustave Eiffel, IFSTTAR, CEREMA, 44340 Bouguenais, France
| | - Arnaud Can
- UMRAE, Univ Gustave Eiffel, IFSTTAR, CEREMA, 44340 Bouguenais, France
| | - Luis Gascó
- Instrumentation and Applied Acoustics Research group (I2A2), Universidad Politécnica de Madrid, 28031 Madrid, Spain
| | - Peter Lercher
- Institute for Highway Engineering and Transport Planning, Graz University of Technology, 8010 Graz, Austria
| | - Jean-Marc Wunderli
- Empa, Swiss Federal Laboratories for Material Science and Technology, Laboratory for Acoustics/Noise Control, 8600 Dübendorf, Switzerland
| | - Catherine Lavandier
- ETIS Laboratory, UMR 8051, CY Cergy Paris University, ENSEA, CNRS, F-95302 Cergy-Pontoise Cedex, France
| | - Guillermo de Arcas
- Instrumentation and Applied Acoustics Research group (I2A2), Universidad Politécnica de Madrid, 28031 Madrid, Spain
| | | | - Patricio Muñoz
- Acoucite, Observatoire de l'environnement sonore de la Métropole de Lyon, 69007 Lyon, France
| | - Gaetano Licitra
- Environmental Protection Agency of Tuscany Region, Pisa Department, 56127 Pisa, Italy
| |
Collapse
|
10
|
Gasco L, Clavel C, Asensio C, de Arcas G. Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise. Sci Total Environ 2019; 658:69-79. [PMID: 30572215 DOI: 10.1016/j.scitotenv.2018.12.071] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 11/12/2018] [Accepted: 12/05/2018] [Indexed: 06/09/2023]
Abstract
Subjective response to noise is probably the most important goal in environmental acoustics. Traditional surveys have the drawback of high cost deriving from its development and execution, the limited number of participants, and the duration of the surveying campaign. The main drawbacks of online surveys are the low participation, or the self-produced bias that concerns about the topic can raise. In both cases, the process of designing questionnaires, implementing the survey, and analysing the results can be long, expensive and ineffective to monitor changes in the short-term. With the creation of Online Social Networks (OSN), people have changed the manner they communicate and use technology. Nowadays, people can provide information regarding their likes, opinion and discomfort about any topic, including noise, in just a few minutes with their smartphone. These Internet opinions can be analysed automatically using machine learning and Natural Language Processing techniques to get insights that can help in the early detection of noise problems, or in the prior assessment of action plans. This information can be significant helpful in addressing noise management by local authorities and stakeholders. The purpose of this paper is to present a novel methodology, based on machine learning, allowing for the gathering and processing of OSN text data, enabling the generation of a system able to exploit the data to detect noise complaints and to classify them by source. This methodology has been piloted in a case study using Twitter, and the main results are presented.
Collapse
Affiliation(s)
- Luis Gasco
- Universidad Politécnica de Madrid, Grupo I2A2, ETS Topografía, Campus Sur UPM, Ctra. Valencia km 7, 28031 Madrid, Spain; EIT Digital Doctoral School-Madrid CLC, IMDEA Software Institute, Campus Montegancedo s/n, Pozuelo de Alarcón, 28223 Madrid, Spain.
| | - Chloé Clavel
- Telecom Paristech, 46 rue Barrault, 75634 Paris Cedex 13, France
| | - Cesar Asensio
- Universidad Politécnica de Madrid, Grupo I2A2, ETS Topografía, Campus Sur UPM, Ctra. Valencia km 7, 28031 Madrid, Spain
| | - Guillermo de Arcas
- Universidad Politécnica de Madrid, Grupo I2A2, ETS Topografía, Campus Sur UPM, Ctra. Valencia km 7, 28031 Madrid, Spain
| |
Collapse
|
11
|
Carpeño A, Ruiz M, Mayoral E, Bernal E, Esquembri S, Barrera E, de Arcas G. Implementing a Neutron-Diagnostic advanced DAQ system use case on a PXIe platform through a 3D remote laboratory. Fusion Engineering and Design 2017. [DOI: 10.1016/j.fusengdes.2017.03.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
12
|
Gasco L, Asensio C, de Arcas G. Communicating airport noise emission data to the general public. Sci Total Environ 2017; 586:836-848. [PMID: 28214112 DOI: 10.1016/j.scitotenv.2017.02.063] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 02/07/2017] [Accepted: 02/07/2017] [Indexed: 05/24/2023]
Abstract
Despite the efforts that the aviation industry has undertaken during the last few decades, noise annoyance remains high, partly because of the continuous transport demands of modern societies and partly because of changes in citizen expectations and their growing environmental concerns. Although modern aircraft are considerably quieter than their predecessors, the number of complaints has not decreased as much as expected. Therefore, the aeronautical sector has tried more sociological and/or psychological strategies to gain acceptance through awareness and community engagement. In this regard, noise communication to the public is crucial for managers and policy makers. Noise information is a difficult technical topic for non-experts, which is an issue that must first be addressed to take advantage of the new possibilities that have recently been opened by the internet and information and communication technologies. In this review paper, we have compiled the literature that shows the increasing importance of communicating noise information from aircraft and the variety of indicators used to communicate with the public. We also examined the methods of representing noise data, using visualization strategies, and new tools airports are currently using to address this communication problem.
Collapse
Affiliation(s)
- Luis Gasco
- Universidad Politécnica de Madrid, Grupo I2A2, ETS Topografía, Campus Sur UPM, Ctra. Valencia km 7, 28031 Madrid, Spain.
| | - Cesar Asensio
- Universidad Politécnica de Madrid, Grupo I2A2, ETS Topografía, Campus Sur UPM, Ctra. Valencia km 7, 28031 Madrid, Spain
| | - Guillermo de Arcas
- Universidad Politécnica de Madrid, Grupo I2A2, ETS Topografía, Campus Sur UPM, Ctra. Valencia km 7, 28031 Madrid, Spain
| |
Collapse
|
13
|
González J, Ruiz M, Barrera E, López JM, de Arcas G, Vega J. Configuration and supervision of advanced distributed data acquisition and processing systems for long pulse experiments using JINI technology. Fusion Engineering and Design 2009. [DOI: 10.1016/j.fusengdes.2008.12.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|