Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform

Federico Alvarez; Mirela Popa; Nicholas Vretos; Alberto Belmonte-Hernández; Stelios Asteriadis; Vassilis Solachidis; Triana Mariscal; Dario Dotti; Petros Daras

doi:10.1109/AVSS.2017.8078527

Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform

Federico Alvarez^*, Mirela Popa, Nicholas Vretos, Alberto Belmonte-Hernández, Stelios Asteriadis, Vassilis Solachidis, Triana Mariscal, Dario Dotti, Petros Daras

^*Corresponding author for this work

Advanced Computing Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

The analysis of multimodal data collected by innovative imaging sensors, Internet of Things (IoT) devices and user interactions, can provide smart and automatic distant monitoring of patients and reveal valuable insights for early detection and/or prevention of events related to their health situation.In this paper, we present a platform called ICT4LIFE which starting from low-level data capturing and performing multimodal fusion to extract relevant features, can perform high-level reasoning to provide relevant data on monitoring and evolution of the patient, and trigger proper actions for improving the quality of life of the patient.

Original language	English
Title of host publication	Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Print)	9781538629390
DOIs	https://doi.org/10.1109/AVSS.2017.8078527
Publication status	Published - 2017
Event	14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) - , Italy Duration: 30 Aug 2017 → 1 Sept 2017 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=58382

Conference

Conference	14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Country/Territory	Italy
Period	30/08/17 → 1/09/17
Internet address	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=58382

Access to Document

10.1109/AVSS.2017.8078527Licence: CC BY-NC

Cite this

Alvarez, F., Popa, M., Vretos, N., Belmonte-Hernández, A., Asteriadis, S., Solachidis, V., Mariscal, T., Dotti, D., & Daras, P. (2017). Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform. In Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on (pp. 1-6). IEEE. https://doi.org/10.1109/AVSS.2017.8078527

@inproceedings{94003efb986c44e0bc752bdea7dce154,

title = "Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform",

abstract = "The analysis of multimodal data collected by innovative imaging sensors, Internet of Things (IoT) devices and user interactions, can provide smart and automatic distant monitoring of patients and reveal valuable insights for early detection and/or prevention of events related to their health situation.In this paper, we present a platform called ICT4LIFE which starting from low-level data capturing and performing multimodal fusion to extract relevant features, can perform high-level reasoning to provide relevant data on monitoring and evolution of the patient, and trigger proper actions for improving the quality of life of the patient.",

author = "Federico Alvarez and Mirela Popa and Nicholas Vretos and Alberto Belmonte-Hern{\'a}ndez and Stelios Asteriadis and Vassilis Solachidis and Triana Mariscal and Dario Dotti and Petros Daras",

year = "2017",

doi = "10.1109/AVSS.2017.8078527",

language = "English",

isbn = "9781538629390",

pages = "1--6",

booktitle = "Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on",

publisher = "IEEE",

address = "United States",

note = "14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) ; Conference date: 30-08-2017 Through 01-09-2017",

url = "http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=58382",

}

Alvarez, F, Popa, M, Vretos, N, Belmonte-Hernández, A, Asteriadis, S, Solachidis, V, Mariscal, T, Dotti, D & Daras, P 2017, Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform. in Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on. IEEE, pp. 1-6, 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Italy, 30/08/17. https://doi.org/10.1109/AVSS.2017.8078527

Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform. / Alvarez, Federico; Popa, Mirela; Vretos, Nicholas et al.
Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on. IEEE, 2017. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform

AU - Alvarez, Federico

AU - Popa, Mirela

AU - Vretos, Nicholas

AU - Belmonte-Hernández, Alberto

AU - Asteriadis, Stelios

AU - Solachidis, Vassilis

AU - Mariscal, Triana

AU - Dotti, Dario

AU - Daras, Petros

PY - 2017

Y1 - 2017

N2 - The analysis of multimodal data collected by innovative imaging sensors, Internet of Things (IoT) devices and user interactions, can provide smart and automatic distant monitoring of patients and reveal valuable insights for early detection and/or prevention of events related to their health situation.In this paper, we present a platform called ICT4LIFE which starting from low-level data capturing and performing multimodal fusion to extract relevant features, can perform high-level reasoning to provide relevant data on monitoring and evolution of the patient, and trigger proper actions for improving the quality of life of the patient.

AB - The analysis of multimodal data collected by innovative imaging sensors, Internet of Things (IoT) devices and user interactions, can provide smart and automatic distant monitoring of patients and reveal valuable insights for early detection and/or prevention of events related to their health situation.In this paper, we present a platform called ICT4LIFE which starting from low-level data capturing and performing multimodal fusion to extract relevant features, can perform high-level reasoning to provide relevant data on monitoring and evolution of the patient, and trigger proper actions for improving the quality of life of the patient.

U2 - 10.1109/AVSS.2017.8078527

DO - 10.1109/AVSS.2017.8078527

M3 - Conference article in proceeding

SN - 9781538629390

SP - 1

EP - 6

BT - Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on

PB - IEEE

T2 - 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

Y2 - 30 August 2017 through 1 September 2017

ER -