2020
Miralles-Tena, Ignacio; Granell-Canut, Carlos; García-Palacios, Azucena; Castilla, Diana; González-Pérez, Alberto; Casteleyn, Sven; Bretón-López., Juana
Enhancing in vivo exposure in the treatment of panic disorder and agoraphobia using location-based technologies: A case report Journal Article
In: Clinical Case Studies, vol. 19, no. 2, pp. 145-159, 2020, ISBN: 1534-6501.
Abstract | Links | BibTeX | Tags: Health applications, LBS, mental health, symptoms
@article{Miralles-Tena2020,
title = {Enhancing in vivo exposure in the treatment of panic disorder and agoraphobia using location-based technologies: A case report},
author = {Ignacio Miralles-Tena and Carlos Granell-Canut and Azucena García-Palacios and Diana Castilla and Alberto González-Pérez and Sven Casteleyn and Juana Bretón-López.},
doi = {10.1177/15346501198929},
isbn = {1534-6501},
year = {2020},
date = {2020-03-01},
urldate = {2020-03-01},
journal = {Clinical Case Studies},
volume = {19},
number = {2},
pages = {145-159},
abstract = {Panic disorder (PD) is quite prevalent and often appears along with agoraphobia (PD/A). The treatment of choice is cognitive behavioral therapy (CBT). Transdiagnostic intervention, an emotion-focused, cognitive behavioral intervention that has led to the Unified Protocol (UP), emphasizes the common underlying mechanisms that contribute to the development and maintenance of emotional disorders such as PD/A. A core feature of this treatment approach is in vivo exposure (IVE) to feared situations, which aims to prevent avoidance behaviors and encourages the patient to confront feared situations gradually. It is a difficult component for patients, especially when implementing the exposure on their own. Different feedback formats can be used to increase adequate IVE and reduce overt or subtle avoidance. The use of smartphones is a very useful option to initiate and sustain exposure behavior. The purpose of this study is to describe the use of location-based technologies (LBTs) during the IVE component of the UP treatment of a 47-year-old patient with PD/A. The acceptability and usability of the system were assessed. The Symptoms platform was employed during the exposure module, using LBT with a smartphone app. The patient reported positive expectations, high satisfaction scores, and an overall satisfactory experience. Enhancing key therapeutic components during treatment through the development of media-based tools is a very promising future research aim, and the possibility of using advanced smartphone features should be explored.},
keywords = {Health applications, LBS, mental health, symptoms},
pubstate = {published},
tppubtype = {article}
}
Panic disorder (PD) is quite prevalent and often appears along with agoraphobia (PD/A). The treatment of choice is cognitive behavioral therapy (CBT). Transdiagnostic intervention, an emotion-focused, cognitive behavioral intervention that has led to the Unified Protocol (UP), emphasizes the common underlying mechanisms that contribute to the development and maintenance of emotional disorders such as PD/A. A core feature of this treatment approach is in vivo exposure (IVE) to feared situations, which aims to prevent avoidance behaviors and encourages the patient to confront feared situations gradually. It is a difficult component for patients, especially when implementing the exposure on their own. Different feedback formats can be used to increase adequate IVE and reduce overt or subtle avoidance. The use of smartphones is a very useful option to initiate and sustain exposure behavior. The purpose of this study is to describe the use of location-based technologies (LBTs) during the IVE component of the UP treatment of a 47-year-old patient with PD/A. The acceptability and usability of the system were assessed. The Symptoms platform was employed during the exposure module, using LBT with a smartphone app. The patient reported positive expectations, high satisfaction scores, and an overall satisfactory experience. Enhancing key therapeutic components during treatment through the development of media-based tools is a very promising future research aim, and the possibility of using advanced smartphone features should be explored.
2016
Mendoza-Silva, Germán Martín; Torres-Sospedra, Joaquín; Huerta-Guijarro, Joaquín; Montoliu, Raul; Benítez, Fernando; Belmonte, Oscar
Situation Goodness Method for Weighted Centroid-Based Wi-Fi APs Localization Conference
Progress in Location-Based Services 2016, Springer International Publishing, Cham, 2016, ISBN: 978-3-319-47289-8.
Abstract | Links | BibTeX | Tags: Indoor localization, Interpolation, LBS, Weighted centroid, Wi-Fi mapping
@conference{Mendoza-Silva2017,
title = {Situation Goodness Method for Weighted Centroid-Based Wi-Fi APs Localization},
author = {Germán Martín Mendoza-Silva and Joaquín Torres-Sospedra and Joaquín Huerta-Guijarro and Raul Montoliu and Fernando Benítez and Oscar Belmonte},
editor = {Gartner, Georg and Huang, Haosheng},
url = {http://dx.doi.org/10.1007/978-3-319-47289-8_2},
doi = {10.1007/978-3-319-47289-8_2},
isbn = {978-3-319-47289-8},
year = {2016},
date = {2016-10-13},
booktitle = {Progress in Location-Based Services 2016},
pages = {27--47},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {Knowing the location of Wi-Fi antennas may be critical for indoor localization. However, in a real environment, their positions may be unknown since they can be managed by external entities. This paper introduces a new method for evaluating the suitability of using the weighted centroid method for the 2D localization of a Wi-Fi AP. The method is based on the idea that the weighted centroid method provides its best results when there are fingerprints taken around the AP. In order to find the probability of being in the presence of such situations, a natural neighbor interpolation method is used to find the regions with the highest signal strengths. A geometrical method is then used to characterize that probability based on the distribution of those regions in relation to the AP position estimation given by the weighted centroid method. The paper describes the testing location and the used Wi-Fi fingerprints database. That database is used to create new databases that recreate different sampling possibilities through a samples deletion strategy. The original database and the newly created ones are then used to evaluate the localization results of several AP localization methods and the new method proposed in this paper. The evaluation results have shown that the proposed method is able to provide a proper probability for the suitability of using the weighted centroid method for localizing a Wi-Fi AP.},
keywords = {Indoor localization, Interpolation, LBS, Weighted centroid, Wi-Fi mapping},
pubstate = {published},
tppubtype = {conference}
}
Knowing the location of Wi-Fi antennas may be critical for indoor localization. However, in a real environment, their positions may be unknown since they can be managed by external entities. This paper introduces a new method for evaluating the suitability of using the weighted centroid method for the 2D localization of a Wi-Fi AP. The method is based on the idea that the weighted centroid method provides its best results when there are fingerprints taken around the AP. In order to find the probability of being in the presence of such situations, a natural neighbor interpolation method is used to find the regions with the highest signal strengths. A geometrical method is then used to characterize that probability based on the distribution of those regions in relation to the AP position estimation given by the weighted centroid method. The paper describes the testing location and the used Wi-Fi fingerprints database. That database is used to create new databases that recreate different sampling possibilities through a samples deletion strategy. The original database and the newly created ones are then used to evaluate the localization results of several AP localization methods and the new method proposed in this paper. The evaluation results have shown that the proposed method is able to provide a proper probability for the suitability of using the weighted centroid method for localizing a Wi-Fi AP.