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Sato S, Hiratsuka T, Hasegawa K, Watanabe K, Obara Y, Kariya N, Shinba T, Matsui T. Screening for Major Depressive Disorder Using a Wearable Ultra-Short-Term HRV Monitor and Signal Quality Indices. SENSORS (BASEL, SWITZERLAND) 2023; 23:3867. [PMID: 37112208 PMCID: PMC10143236 DOI: 10.3390/s23083867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/06/2023] [Accepted: 04/07/2023] [Indexed: 06/19/2023]
Abstract
To encourage potential major depressive disorder (MDD) patients to attend diagnostic sessions, we developed a novel MDD screening system based on sleep-induced autonomic nervous responses. The proposed method only requires a wristwatch device to be worn for 24 h. We evaluated heart rate variability (HRV) via wrist photoplethysmography (PPG). However, previous studies have indicated that HRV measurements obtained using wearable devices are susceptible to motion artifacts. We propose a novel method to improve screening accuracy by removing unreliable HRV data (identified on the basis of signal quality indices (SQIs) obtained by PPG sensors). The proposed algorithm enables real-time calculation of signal quality indices in the frequency domain (SQI-FD). A clinical study conducted at Maynds Tower Mental Clinic enrolled 40 MDD patients (mean age, 37.5 ± 8.8 years) diagnosed on the basis of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and 29 healthy volunteers (mean age, 31.9 ± 13.0 years). Acceleration data were used to identify sleep states, and a linear classification model was trained and tested using HRV and pulse rate data. Ten-fold cross-validation showed a sensitivity of 87.3% (80.3% without SQI-FD data) and specificity of 84.0% (73.3% without SQI-FD data). Thus, SQI-FD drastically improved sensitivity and specificity.
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Affiliation(s)
- Shohei Sato
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
| | - Takuma Hiratsuka
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
| | - Kenya Hasegawa
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
| | - Keisuke Watanabe
- Department of Electrical Engineering and Computer Science, Faculty of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
| | - Yusuke Obara
- Maynds Tower Mental Clinic, Tokyo 151-0053, Japan
| | | | - Toshikazu Shinba
- Department of Psychiatry, Shizuoka Saiseikai General Hospital, Shizuoka 422-8527, Japan
- Research Division, Saiseikai Research Institute of Health Care and Welfare, Tokyo 108-0073, Japan
| | - Takemi Matsui
- Department of Electrical Engineering and Computer Science, Graduate School of System Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan
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Shinba T, Murotsu K, Usui Y, Andow Y, Terada H, Kariya N, Tatebayashi Y, Matsuda Y, Mugishima G, Shinba Y, Sun G, Matsui T. Return-to-Work Screening by Linear Discriminant Analysis of Heart Rate Variability Indices in Depressed Subjects. SENSORS 2021; 21:s21155177. [PMID: 34372412 PMCID: PMC8347333 DOI: 10.3390/s21155177] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/24/2021] [Accepted: 07/25/2021] [Indexed: 12/22/2022]
Abstract
Using a linear discriminant analysis of heart rate variability (HRV) indices, the present study sought to verify the usefulness of autonomic measurement in major depressive disorder (MDD) patients by assessing the feasibility of their return to work after sick leave. When reinstatement was scheduled, patients’ HRV was measured using a wearable electrocardiogram device. The outcome of the reinstatement was evaluated at one month after returning to work. HRV indices including high- and low-frequency components were calculated in three conditions within a session: initial rest, mental task, and rest after task. A linear discriminant function was made using the HRV indices of 30 MDD patients from our previous study to effectively discriminate the successful reinstatement from the unsuccessful reinstatement; this was then tested on 52 patients who participated in the present study. The discriminant function showed that the sensitivity and specificity in discriminating successful from unsuccessful returns were 95.8% and 35.7%, respectively. Sensitivity is high, indicating that normal HRV is required for a successful return, and that the discriminant analysis of HRV indices is useful for return-to-work screening in MDD patients. On the other hand, specificity is low, suggesting that other factors may also affect the outcome of reinstatement.
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Affiliation(s)
- Toshikazu Shinba
- Department of Psychiatry, Shizuoka Saiseikai General Hospital, Shizuoka 422-8527, Japan;
- Autonomic Nervous System Consulting, Shizuoka 420-0839, Japan;
- Correspondence:
| | - Keizo Murotsu
- Department of Psychiatry, Shizuoka Saiseikai General Hospital, Shizuoka 422-8527, Japan;
- Department of Psychiatry, Shizuoka Red Cross Hospital, Shizuoka 420-0853, Japan;
| | - Yosuke Usui
- Department of Psychiatry, Shizuoka Red Cross Hospital, Shizuoka 420-0853, Japan;
| | | | | | | | - Yoshitaka Tatebayashi
- Affective Disorders Research Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan; (Y.T.); (Y.M.)
| | - Yoshiki Matsuda
- Affective Disorders Research Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan; (Y.T.); (Y.M.)
| | - Go Mugishima
- School of Human and Social Sciences, Fukuoka Prefectural University, Tagawa 825-8585, Japan;
| | - Yujiro Shinba
- Autonomic Nervous System Consulting, Shizuoka 420-0839, Japan;
| | - Guanghao Sun
- Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan;
| | - Takemi Matsui
- Graduate School of System Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan;
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