Using Heart Rate to Help Children with Autism
Author Information
Author(s): Emezie Amarachi, Kamel Rima, Dunphy Morgan, Young Amanda, Nuske Heather J.
Primary Institution: University of Pennsylvania
Hypothesis
Can heart rate data predict the effectiveness of intervention strategies for children on the autism spectrum?
Conclusion
Heart rate reduction is a significant predictor of the effectiveness of intervention strategies for children on the autism spectrum.
Supporting Evidence
- Heart rate reduction was found to be a significant predictor of intervention strategy effectiveness.
- Proactive strategies were rated effective more often than reactive strategies.
- Teachers reported that 78.87% of strategies were effective based on heart rate and behavioral data.
Takeaway
This study found that tracking heart rates can help teachers choose better strategies to support children with autism when they are upset.
Methodology
Teachers used the KeepCalm app to record heart rate and behavioral data over three months for students on the autism spectrum.
Potential Biases
Potential bias due to the subjective nature of teachers' assessments of strategy effectiveness.
Limitations
The sample size of children observed was small, and data collection was limited due to competing demands on educators.
Participant Demographics
Participants included 5 students on the autism spectrum, their teachers, and parents.
Statistical Information
P-Value
p<0.0005
Confidence Interval
95% CI = 0.882–0.920
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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