Monitoring of autonomic response to sociocognitive tasks during treatment in children with Autism Spectrum Disorders by wearable technologies: A feasibility study

Simone Di Palma, Alessandro Tonacci, Antonio Narzisi, Claudio Domenici, Giovanni Pioggia, Filippo Muratori, Lucia Billeci, Silvio Bonfiglio, Giovanni Baldus, Daniele Corda, Gennaro Tartarisco, Federico Cruciani, Cristiano Paggetti, Valentina Bono, Koushik Maharatna, Francisa Maryrose, Angele Giuliano, Mark Donnelly, Leo Galway, Fabio Apicella & 5 others Chiara Lucentini, Salvatore Anzalone, Mohamed Chetouani, David Cohen, Jean Xavier

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

BACKGROUND:Autism Spectrum Disorders (ASD) represent a heterogeneous set of neurodevelopmental disorders characterized by impairments in social domain, where the autonomic nervous system (ANS) plays an important role. Several researchers have studied the ANS in ASD, during specific cognitive or sensory stimuli while few studies have examined response during social interactions. Wearable technologies can be very helpful in monitoring autonomic response in children with ASD in semi-naturalistic setting. The novelty of this study is to use such technologies to acquire physiological signals during therapeutic sessions supported by interactive "serious games" and to correlate the ANS response to the engagement of the child during sociocognitive tasks for an evaluation of the treatment effect and for the personalization of the therapy.METHOD:A wearable chest belt for electrocardiographic (ECG) signal recording was used and specific algorithms for the extraction of clinically relevant features (Heart Rate - HR, Root Mean Square of the Successive Differences - RMSSD and Respiratory Sinus Arrhythmia - RSA) were developed. Sociocognitive tasks were mediated by "serious games" implemented on two tablets, which allowed a precise coding of the behaviors of the children. A longitudinal assessment of the physiological response of the children during six months of treatment was performed.RESULTS:A link between physiological response, i.e. decrease in RMSSD and RSA, and engagement of the children during sociocognitive tasks was found. Longitudinal changes in the children's autonomic response, including a decrease of RSA during the engagement throughout the therapeutic sessions, were found.CONCLUSIONS:These results foster the feasibility of this methodology to be applied in a clinical setting for the monitoring of the ANS response of children with ASD during treatment. A larger sample of patients is needed to confirm these preliminary findings.
LanguageEnglish
Pages143-152
JournalComputers in Biology and Medicine
Volume85
Early online date5 Apr 2016
DOIs
Publication statusPublished - 1 Jun 2017

Fingerprint

Feasibility Studies
Neurology
Autonomic Nervous System
Technology
Monitoring
Therapeutics
Child Behavior
Interpersonal Relations
Tablets
Autism Spectrum Disorder
Wearable technology
Thorax
Heart Rate
Research Personnel
Serious games

Keywords

  • Autism Spectrum Disorders (ASDs)
  • Electrocardiogram (ECG)
  • Heart Rate
  • Heart Rate Variability (HRV)
  • Monitoring
  • Personalization
  • Respiratory Sinus Arrhythmia (RSA)
  • Wearable platform

Cite this

Di Palma, Simone ; Tonacci, Alessandro ; Narzisi, Antonio ; Domenici, Claudio ; Pioggia, Giovanni ; Muratori, Filippo ; Billeci, Lucia ; Bonfiglio, Silvio ; Baldus, Giovanni ; Corda, Daniele ; Tartarisco, Gennaro ; Cruciani, Federico ; Paggetti, Cristiano ; Bono, Valentina ; Maharatna, Koushik ; Maryrose, Francisa ; Giuliano, Angele ; Donnelly, Mark ; Galway, Leo ; Apicella, Fabio ; Lucentini, Chiara ; Anzalone, Salvatore ; Chetouani, Mohamed ; Cohen, David ; Xavier, Jean. / Monitoring of autonomic response to sociocognitive tasks during treatment in children with Autism Spectrum Disorders by wearable technologies: A feasibility study. In: Computers in Biology and Medicine. 2017 ; Vol. 85. pp. 143-152.
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Di Palma, S, Tonacci, A, Narzisi, A, Domenici, C, Pioggia, G, Muratori, F, Billeci, L, Bonfiglio, S, Baldus, G, Corda, D, Tartarisco, G, Cruciani, F, Paggetti, C, Bono, V, Maharatna, K, Maryrose, F, Giuliano, A, Donnelly, M, Galway, L, Apicella, F, Lucentini, C, Anzalone, S, Chetouani, M, Cohen, D & Xavier, J 2017, 'Monitoring of autonomic response to sociocognitive tasks during treatment in children with Autism Spectrum Disorders by wearable technologies: A feasibility study', Computers in Biology and Medicine, vol. 85, pp. 143-152. https://doi.org/10.1016/j.compbiomed.2016.04.001

Monitoring of autonomic response to sociocognitive tasks during treatment in children with Autism Spectrum Disorders by wearable technologies: A feasibility study. / Di Palma, Simone; Tonacci, Alessandro; Narzisi, Antonio; Domenici, Claudio; Pioggia, Giovanni; Muratori, Filippo; Billeci, Lucia; Bonfiglio, Silvio; Baldus, Giovanni; Corda, Daniele; Tartarisco, Gennaro; Cruciani, Federico; Paggetti, Cristiano; Bono, Valentina; Maharatna, Koushik; Maryrose, Francisa; Giuliano, Angele; Donnelly, Mark; Galway, Leo; Apicella, Fabio; Lucentini, Chiara; Anzalone, Salvatore; Chetouani, Mohamed; Cohen, David; Xavier, Jean.

In: Computers in Biology and Medicine, Vol. 85, 01.06.2017, p. 143-152.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Monitoring of autonomic response to sociocognitive tasks during treatment in children with Autism Spectrum Disorders by wearable technologies: A feasibility study

AU - Di Palma, Simone

AU - Tonacci, Alessandro

AU - Narzisi, Antonio

AU - Domenici, Claudio

AU - Pioggia, Giovanni

AU - Muratori, Filippo

AU - Billeci, Lucia

AU - Bonfiglio, Silvio

AU - Baldus, Giovanni

AU - Corda, Daniele

AU - Tartarisco, Gennaro

AU - Cruciani, Federico

AU - Paggetti, Cristiano

AU - Bono, Valentina

AU - Maharatna, Koushik

AU - Maryrose, Francisa

AU - Giuliano, Angele

AU - Donnelly, Mark

AU - Galway, Leo

AU - Apicella, Fabio

AU - Lucentini, Chiara

AU - Anzalone, Salvatore

AU - Chetouani, Mohamed

AU - Cohen, David

AU - Xavier, Jean

PY - 2017/6/1

Y1 - 2017/6/1

N2 - BACKGROUND:Autism Spectrum Disorders (ASD) represent a heterogeneous set of neurodevelopmental disorders characterized by impairments in social domain, where the autonomic nervous system (ANS) plays an important role. Several researchers have studied the ANS in ASD, during specific cognitive or sensory stimuli while few studies have examined response during social interactions. Wearable technologies can be very helpful in monitoring autonomic response in children with ASD in semi-naturalistic setting. The novelty of this study is to use such technologies to acquire physiological signals during therapeutic sessions supported by interactive "serious games" and to correlate the ANS response to the engagement of the child during sociocognitive tasks for an evaluation of the treatment effect and for the personalization of the therapy.METHOD:A wearable chest belt for electrocardiographic (ECG) signal recording was used and specific algorithms for the extraction of clinically relevant features (Heart Rate - HR, Root Mean Square of the Successive Differences - RMSSD and Respiratory Sinus Arrhythmia - RSA) were developed. Sociocognitive tasks were mediated by "serious games" implemented on two tablets, which allowed a precise coding of the behaviors of the children. A longitudinal assessment of the physiological response of the children during six months of treatment was performed.RESULTS:A link between physiological response, i.e. decrease in RMSSD and RSA, and engagement of the children during sociocognitive tasks was found. Longitudinal changes in the children's autonomic response, including a decrease of RSA during the engagement throughout the therapeutic sessions, were found.CONCLUSIONS:These results foster the feasibility of this methodology to be applied in a clinical setting for the monitoring of the ANS response of children with ASD during treatment. A larger sample of patients is needed to confirm these preliminary findings.

AB - BACKGROUND:Autism Spectrum Disorders (ASD) represent a heterogeneous set of neurodevelopmental disorders characterized by impairments in social domain, where the autonomic nervous system (ANS) plays an important role. Several researchers have studied the ANS in ASD, during specific cognitive or sensory stimuli while few studies have examined response during social interactions. Wearable technologies can be very helpful in monitoring autonomic response in children with ASD in semi-naturalistic setting. The novelty of this study is to use such technologies to acquire physiological signals during therapeutic sessions supported by interactive "serious games" and to correlate the ANS response to the engagement of the child during sociocognitive tasks for an evaluation of the treatment effect and for the personalization of the therapy.METHOD:A wearable chest belt for electrocardiographic (ECG) signal recording was used and specific algorithms for the extraction of clinically relevant features (Heart Rate - HR, Root Mean Square of the Successive Differences - RMSSD and Respiratory Sinus Arrhythmia - RSA) were developed. Sociocognitive tasks were mediated by "serious games" implemented on two tablets, which allowed a precise coding of the behaviors of the children. A longitudinal assessment of the physiological response of the children during six months of treatment was performed.RESULTS:A link between physiological response, i.e. decrease in RMSSD and RSA, and engagement of the children during sociocognitive tasks was found. Longitudinal changes in the children's autonomic response, including a decrease of RSA during the engagement throughout the therapeutic sessions, were found.CONCLUSIONS:These results foster the feasibility of this methodology to be applied in a clinical setting for the monitoring of the ANS response of children with ASD during treatment. A larger sample of patients is needed to confirm these preliminary findings.

KW - Autism Spectrum Disorders (ASDs)

KW - Electrocardiogram (ECG)

KW - Heart Rate

KW - Heart Rate Variability (HRV)

KW - Monitoring

KW - Personalization

KW - Respiratory Sinus Arrhythmia (RSA)

KW - Wearable platform

U2 - 10.1016/j.compbiomed.2016.04.001

DO - 10.1016/j.compbiomed.2016.04.001

M3 - Article

VL - 85

SP - 143

EP - 152

JO - Computers in Biology and Medicine

T2 - Computers in Biology and Medicine

JF - Computers in Biology and Medicine

SN - 0010-4825

ER -