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Article

Assessment of Ultra-Short Heart Variability Indices Derived by Smartphone Accelerometers for Stress Detection

1
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
2
Istituto Auxologico Italiano, IRCCS, Department of Cardiovascular Neural and Metabolic Sciences, S. Luca Hospital, 20149 Milan, Italy
3
Department of Biomedical Engineering, Lund University, 22100 Lund, Sweden
4
Department of Medicine and Surgery, Università di Milano-Bicocca, 20126 Milan, Italy
5
Consiglio Nazionale delle Ricerche, Istituto di Elettronica e di Ingegneria dell’Informazione e delle Telecomunicazioni, 20133 Milan, Italy
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(17), 3729; https://doi.org/10.3390/s19173729
Received: 28 June 2019 / Revised: 12 August 2019 / Accepted: 23 August 2019 / Published: 28 August 2019
(This article belongs to the Special Issue Wearable and Nearable Biosensors and Systems for Healthcare)
Body acceleration due to heartbeat-induced reaction forces can be measured as mobile phone accelerometer (m-ACC) signals. Our aim was to test the feasibility of using m-ACC to detect changes induced by stress by ultra-short heart rate variability (USV) indices (standard deviation of normal-to-normal interval—SDNN and root mean square of successive differences—RMSSD). Sixteen healthy volunteers were recruited; m-ACC was recorded while in supine position, during spontaneous breathing at rest conditions (REST) and during one minute of mental stress (MS) induced by arithmetic serial subtraction task, simultaneous with conventional electrocardiogram (ECG). Beat occurrences were extracted from both ECG and m-ACC and used to compute USV indices using 60, 30 and 10 s durations, both for REST and MS. A feasibility of 93.8% in the beat-to-beat m-ACC heart rate series extraction was reached. In both ECG and m-ACC series, compared to REST, in MS the mean beat duration was reduced by 15% and RMSSD decreased by 38%. These results show that short term recordings (up to 10 s) of cardiac activity using smartphone’s accelerometers are able to capture the decrease in parasympathetic tone, in agreement with the induced stimulus. View Full-Text
Keywords: ballistocardiography; seismocardiography; ultra-short heart rate variability; stress evaluation; smartphone; accelerometers ballistocardiography; seismocardiography; ultra-short heart rate variability; stress evaluation; smartphone; accelerometers
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MDPI and ACS Style

Landreani, F.; Faini, A.; Martin-Yebra, A.; Morri, M.; Parati, G.; Caiani, E.G. Assessment of Ultra-Short Heart Variability Indices Derived by Smartphone Accelerometers for Stress Detection. Sensors 2019, 19, 3729. https://doi.org/10.3390/s19173729

AMA Style

Landreani F, Faini A, Martin-Yebra A, Morri M, Parati G, Caiani EG. Assessment of Ultra-Short Heart Variability Indices Derived by Smartphone Accelerometers for Stress Detection. Sensors. 2019; 19(17):3729. https://doi.org/10.3390/s19173729

Chicago/Turabian Style

Landreani, Federica, Andrea Faini, Alba Martin-Yebra, Mattia Morri, Gianfranco Parati, and Enrico G. Caiani 2019. "Assessment of Ultra-Short Heart Variability Indices Derived by Smartphone Accelerometers for Stress Detection" Sensors 19, no. 17: 3729. https://doi.org/10.3390/s19173729

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