Publications

Characterization of doctor-patient communication using heartbeat nonlinear dynamics: A preliminary study using Lagged Poincaré Plots  (2017)

Authors:
Nardelli, M.; Del Piccolo, L.; Danzi, O.; Perlini, C.; Tedeschi, F.; Greco, A.; Scilingo, E. P; Valenza, G.
Title:
Characterization of doctor-patient communication using heartbeat nonlinear dynamics: A preliminary study using Lagged Poincaré Plots
Year:
2017
Type of item:
Contributo in atti di convegno
Tipologia ANVUR:
Contributo in Atti di convegno
Language:
Inglese
Format:
A Stampa
Name of journal:
ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
ISSN of journal:
2375-7477
N° Volume:
2017
Congresso:
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Place:
Seogwipo, South Korea
Period:
11-15 July 2017
Page numbers:
3473-3476
Keyword:
doctor-patient communication, Lagged Poincaré Plots, heart rate variability (HRV)
Short description of contents:
Emphatic doctor-patient communication has been associated with an improved psycho-physiological well-being involving cardiovascular and neuroendocrine responses. Nevertheless, a comprehensive assessment of heartbeat linear and nonlinear/complex dynamics throughout the communication of a life-threatening disease has not been performed yet. To this extent, we here study heart rate variability (HRV) series gathered from 17 subjects while watching a video where an oncologist discloses the diagnosis of a cancer metastasis to a patient. Further 17 subjects watched the same video including additional affective emphatic contents. For the assessment of the two groups, linear heartbeat dynamics was quantified through measures defined in the time and frequency domains, whereas nonlinear/complex dynamics referred to measures of entropy, and combined Lagged Poincare Plots (LPP) and symbolic analyses. Considering differences between the beginning and the end of the video, results from non-parametric statistical tests demonstrated that the group watching emphatic contents showed HRV changes in the LF/HF ratio exclusively. Conversely, the group watching the purely informative video showed changes in vagal activity (i.e., HF power), LF/HF ratio, as well as LPP measures. Additionally, a Support Vector Machine algorithm including HRV nonlinear/complex information was able to automatically discern between groups with an accuracy of 76.47%. We therefore propose the use of heartbeat nonlinear/complex dynamics to objectively assess the empathy level of healthy women.
Web page:
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp
arnumber=8037604
Product ID:
119010
Handle IRIS:
11562/973647
Last Modified:
November 15, 2022
Bibliographic citation:
Nardelli, M.; Del Piccolo, L.; Danzi, O.; Perlini, C.; Tedeschi, F.; Greco, A.; Scilingo, E. P; Valenza, G., Characterization of doctor-patient communication using heartbeat nonlinear dynamics: A preliminary study using Lagged Poincaré Plots in «ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY» vol. 2017  in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Proceedings of "39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)" , Seogwipo, South Korea , 11-15 July 2017 , 2017pp. 3473-3476

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