Unique ID issued by UMIN | UMIN000054031 |
---|---|
Receipt number | R000061683 |
Scientific Title | A Randomized Crossover Trial of the Psychophysiological Effects of Listening to Music Composed by Artificial Intelligence (AI) in Dialysis Patients |
Date of disclosure of the study information | 2024/04/01 |
Last modified on | 2024/04/01 18:35:28 |
A Randomized Intervention Study of the Psychophysiological Effects of Listening to Music Composed by Artificial Intelligence (AI) in Dialysis Patients
Psychophysiological Effects of Music Listening by Artificial Intelligence (AI) Composition
A Randomized Crossover Trial of the Psychophysiological Effects of Listening to Music Composed by Artificial Intelligence (AI) in Dialysis Patients
Psychophysiological Effects of Music Listening by Artificial Intelligence (AI) Composition
Japan |
Psychophysiological Stress
Nephrology | Psychosomatic Internal Medicine | Psychiatry |
Adult |
Others
NO
The purpose of this randomized crossover study is to examine the effects of music therapy, consisting mainly of listening to music composed by artificial intelligence (AI), on psychological indicators such as subjective stress and depressive symptoms and physical indicators such as blood pressure, heart rate, autonomic nervous function and physical stress markers in patients undergoing regular dialysis treatment.
Efficacy
Autonomic nervous system function (sympathetic and parasympathetic nervous system function) as assessed by heart rate and heart rate variability after 4 weeks of intervention
Blood test results (blood sugar, hemoglobin A1c, lipids and other items associated with stress)
Blood pressure, EEG, and oxidative stress (R-OOH) and antioxidant capacity (Fe reduction capacity)
Subjective stress, depression, happiness, frequency of laughter, lifestyle, subjective symptoms, and health-related quality of life (SF8) as assessed by questionnaire
Interventional
Cross-over
Randomized
Individual
Open -no one is blinded
No treatment
2
Treatment
Other |
i) The subject will be fitted with an electroencephalograph to assess stress, and a series of stress assessments will be performed.
ii) A music therapy program installed on the tablet is performed. For the music therapy program, the subject selects several favorite songs from the prepared songs (past hit songs, etc.). The artificial intelligence (AI) automatically composes music based on the songs that are rated as relaxing by the subject's brain waves while listening to the music.
iii) Listen to the automatically composed music.
iv) Select and listen to the music of your choice. A total of 30-minute programs will be offered three times a week for four weeks.
Control group receiving usual care only
30 | years-old | <= |
75 | years-old | >= |
Male and Female
(i) Men and women between the ages of 30 and 75 who are able to participate in the examination and intervention
(ii) Able to use the music therapy application on a tablet
(iii) Those who have received a thorough explanation of the study, fully understand it, and have given their free and voluntary written consent to participate in the study.
Those who have no history of serious mental illness in the past (but may participate if their symptoms are stable and they have a doctor's permission)
36
1st name | Tetsuya |
Middle name | |
Last name | Ohira |
Fukushima Medical University School of Medicine
Department of Epidemiology
960-1295
Hikariga-oka 1, Fukushima-shi
024-547-1343
teoohira@fmu.ac.jp
1st name | Tetsuya |
Middle name | |
Last name | Ohira |
Fukushima Medical University school of Medicine
Department of Epidemiology
960-1295
Hikariga-oka 1, Fukushima-shi
024-547-1343
teoohira@fmu.ac.jp
Fukushima Medical University School of Medicine
Fukushima Medical University
Self funding
Fukushima Medical University Ethics Committee
Hikariga-oka 1, Fukushima-shi
024-547-1825
rs@fmu.ac.jp
NO
2024 | Year | 04 | Month | 01 | Day |
Unpublished
Enrolling by invitation
2023 | Year | 11 | Month | 24 | Day |
2024 | Year | 01 | Month | 18 | Day |
2024 | Year | 04 | Month | 02 | Day |
2024 | Year | 12 | Month | 31 | Day |
2024 | Year | 04 | Month | 01 | Day |
2024 | Year | 04 | Month | 01 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000061683