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Association Between Electroencephalogram-Derived Sleep Measures and the Change of Emotional Status Analyzed Using Voice Patterns : Observational Pilot Study

Miyashita, Hirotaka ; Nakamura, Mitsuteru ; Svensson, Akiko Kishi LU ; Nakamura, Masahiro ; Tokuno, Shinichi ; Chung, Ung-Il and Svensson, Thomas LU (2020) In JMIR formative research 4(6).
Abstract

BACKGROUND: Measuring emotional status objectively is challenging, but voice pattern analysis has been reported to be useful in the study of emotion.

OBJECTIVE: The purpose of this pilot study was to investigate the association between specific sleep measures and the change of emotional status based on voice patterns measured before and after nighttime sleep.

METHODS: A total of 20 volunteers were recruited. Their objective sleep measures were obtained using a portable single-channel electroencephalogram system, and their emotional status was assessed using MIMOSYS, a smartphone app analyzing voice patterns. The study analyzed 73 sleep episodes from 18 participants for the association between the change of emotional status... (More)

BACKGROUND: Measuring emotional status objectively is challenging, but voice pattern analysis has been reported to be useful in the study of emotion.

OBJECTIVE: The purpose of this pilot study was to investigate the association between specific sleep measures and the change of emotional status based on voice patterns measured before and after nighttime sleep.

METHODS: A total of 20 volunteers were recruited. Their objective sleep measures were obtained using a portable single-channel electroencephalogram system, and their emotional status was assessed using MIMOSYS, a smartphone app analyzing voice patterns. The study analyzed 73 sleep episodes from 18 participants for the association between the change of emotional status following nighttime sleep (Δvitality) and specific sleep measures.

RESULTS: A significant association was identified between total sleep time and Δvitality (regression coefficient: 0.036, P=.008). A significant inverse association was also found between sleep onset latency and Δvitality (regression coefficient: -0.026, P=.001). There was no significant association between Δvitality and sleep efficiency or number of awakenings.

CONCLUSIONS: Total sleep time and sleep onset latency are significantly associated with Δvitality, which indicates a change of emotional status following nighttime sleep. This is the first study to report the association between the emotional status assessed using voice pattern and specific sleep measures.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
JMIR formative research
volume
4
issue
6
article number
e16880
external identifiers
  • pmid:32515745
ISSN
2561-326X
DOI
10.2196/16880
language
English
LU publication?
yes
additional info
©Hirotaka Miyashita, Mitsuteru Nakamura, Akiko Kishi Svensson, Masahiro Nakamura, Shinichi Tokuno, Ung-Il Chung, Thomas Svensson. Originally published in JMIR Formative Research (http://formative.jmir.org), 09.06.2020.
id
750ff444-298a-40c3-8027-e87898d000d8
date added to LUP
2020-06-10 16:08:55
date last changed
2020-09-10 03:00:42
@article{750ff444-298a-40c3-8027-e87898d000d8,
  abstract     = {<p>BACKGROUND: Measuring emotional status objectively is challenging, but voice pattern analysis has been reported to be useful in the study of emotion.</p><p>OBJECTIVE: The purpose of this pilot study was to investigate the association between specific sleep measures and the change of emotional status based on voice patterns measured before and after nighttime sleep.</p><p>METHODS: A total of 20 volunteers were recruited. Their objective sleep measures were obtained using a portable single-channel electroencephalogram system, and their emotional status was assessed using MIMOSYS, a smartphone app analyzing voice patterns. The study analyzed 73 sleep episodes from 18 participants for the association between the change of emotional status following nighttime sleep (Δvitality) and specific sleep measures.</p><p>RESULTS: A significant association was identified between total sleep time and Δvitality (regression coefficient: 0.036, P=.008). A significant inverse association was also found between sleep onset latency and Δvitality (regression coefficient: -0.026, P=.001). There was no significant association between Δvitality and sleep efficiency or number of awakenings.</p><p>CONCLUSIONS: Total sleep time and sleep onset latency are significantly associated with Δvitality, which indicates a change of emotional status following nighttime sleep. This is the first study to report the association between the emotional status assessed using voice pattern and specific sleep measures.</p>},
  author       = {Miyashita, Hirotaka and Nakamura, Mitsuteru and Svensson, Akiko Kishi and Nakamura, Masahiro and Tokuno, Shinichi and Chung, Ung-Il and Svensson, Thomas},
  issn         = {2561-326X},
  language     = {eng},
  month        = {06},
  number       = {6},
  series       = {JMIR formative research},
  title        = {Association Between Electroencephalogram-Derived Sleep Measures and the Change of Emotional Status Analyzed Using Voice Patterns : Observational Pilot Study},
  url          = {http://dx.doi.org/10.2196/16880},
  doi          = {10.2196/16880},
  volume       = {4},
  year         = {2020},
}