Play&Sing
Play&Sing

Play&Sing
Play&Sing
 : 
Playing and Singing for the Recovering Brain: Efficacy of Enriched Social-Motivational Musical Interventions in Stroke Rehabilitation
Playing and Singing for the Recovering Brain: Efficacy of Enriched Social-Motivational Musical Interventions in Stroke Rehabilitation

A Project coordinated by IIIA.

Web page:

Principal investigator: 

Collaborating organisations:

Idibell, University of Helsinki

Idibell, University of Helsinki

Funding entity:

Fundació "La Marató de TV3"
Fundació "La Marató de TV3"

Funding call:

Funding call URL:

Project #:

201729.31
201729.31

Total funding amount:

0,00€
0,00€

IIIA funding amount:

119.979,00€
119.979,00€

Duration:

01/Aug/2018
01/Aug/2018
31/Dec/2021
31/Dec/2021

Extension date:

A large percentage of chronic stroke patients (CS) show motor deficits and language impairments. These deficits clearly diminish their health-related quality of life, limiting their socio-familiar and working roles. Because their high incidence, one of the greatest social and economic challenges is to develop cost-efficient, easily and widely applicable rehabilitation tools. In this context, music has arisen as a potential neurorehabilitation tool. Two important applications have been proposed: (i) the use of music training to induce motor recovery (Music supported therapy, MST) and (ii) singing-based interventions for language recovery in aphasic patients. Some of their limitations are the intensive and time-consuming requirements and the lack of solid evidence from Randomized Control trials (RCT).

A large percentage of chronic stroke patients (CS) show motor deficits and language impairments. These deficits clearly diminish their health-related quality of life, limiting their socio-familiar and working roles. Because their high incidence, one of the greatest social and economic challenges is to develop cost-efficient, easily and widely applicable rehabilitation tools. In this context, music has arisen as a potential neurorehabilitation tool. Two important applications have been proposed: (i) the use of music training to induce motor recovery (Music supported therapy, MST) and (ii) singing-based interventions for language recovery in aphasic patients. Some of their limitations are the intensive and time-consuming requirements and the lack of solid evidence from Randomized Control trials (RCT).

2021
Emma Segura,  Jennifer Grau-Sánchez,  David Sanchez-Pinsach,  Myriam De-la-Cruz,  Esther Duarte,  Josep Lluis Arcos,  & Antoni Rodríguez-Fornells (2021). Designing an app for home-based enriched Music-supported Therapy in the rehabilitation of patients with chronic stroke: a pilot feasibility study. Brain Injury, 35, 1585-1597. https://doi.org/10.1080/02699052.2021.1975819. [BibTeX]
Emma Segura,  Jennifer Grau-Sánchez,  David Sanchez-Pinsach,  Esther Duarte,  Josep Lluis Arcos,  & Antoni Rodríguez-Fornells (2021). Enriched music-supported therapy in the improvement of motor function and quality of life of chronic stroke patients: a pilot study. NeuroMusic VII . [BibTeX]
2020
Oguz Mulayim (2020). Anytime Lazy kNN (ALK): A fast anytime kNN search algorithm. https://doi.org/10.5281/zenodo.4472641. [BibTeX]
Oguz Mulayim,  & Josep Lluis Arcos (2020). Fast anytime retrieval with confidence in large-scale temporal case bases. Knowledge-Based Systems, 206, 106374. https://doi.org/10.1016/j.knosys.2020.106374. [BibTeX]  [PDF]
2019
David Sanchez-Pinsach,  Oguz Mulayim,  Jennifer Grau-Sánchez,  Emma Segura,  Berta Juan-Corbella,  Josep Lluis Arcos,  Jesus Cerquides,  Monique Messaggi-Sartor,  Esther Duarte,  & Antoni Rodriguez-Fornells (2019). Design of an AI Platform to Support Home-Based Self-Training Music Interventions for Chronic Stroke Patients. Jordi Sabater-Mir, Vicenç Torra, Isabel Aguilo, & Manuel González-Hidalgo (Eds.), Frontiers in Artificial Intelligence and Applications (pp 170--175). IOS Press. https://doi.org/10.3233/FAIA190120. [BibTeX]
Josep Lluís Arcos
Scientific Researcher
Jesus Cerquides
Scientific Researcher
Phone Ext. 431859

Oguz Mulayim
Contract Researcher
David Sanchez-Pinsach
PhD Student