scholarly journals Evaluation of emotional arousal level and depression severity using voice-derived sound pressure change acceleration

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shuji Shinohara ◽  
Hiroyuki Toda ◽  
Mitsuteru Nakamura ◽  
Yasuhiro Omiya ◽  
Masakazu Higuchi ◽  
...  
Keyword(s):  
Sound Pressure ◽  
Rating Scale ◽  
Characteristic Curve ◽  
Emotional Arousal ◽  
Pressure Change ◽  
Arousal Level ◽  
Depression Severity ◽  
Number Of Patients ◽  
National Defense Medical College ◽  
Significant Difference

AbstractIn this research, we propose a new index of emotional arousal level using sound pressure change acceleration, called the emotional arousal level voice index (EALVI), and investigate the relationship between this index and depression severity. First, EALVI values were calculated from various speech recordings in the interactive emotional dyadic motion capture database, and the correlation with the emotional arousal level of each voice was examined. The resulting correlation coefficient was 0.52 (n = 10,039, p < 2.2 × 10−16). We collected a total of 178 datasets comprising 10 speech phrases and the Hamilton Rating Scale for Depression (HAM-D) score of outpatients with major depression at the Ginza Taimei Clinic (GTC) and the National Defense Medical College (NDMC) Hospital. The correlation coefficients between the EALVI and HAM-D scores were − 0.33 (n = 88, p = 1.8 × 10−3) and − 0.43 (n = 90, p = 2.2 × 10−5) at the GTC and NDMC, respectively. Next, the dataset was divided into “no depression” (HAM-D < 8) and “depression” groups (HAM-D ≥ 8) according to the HAM-D score. The number of patients in the “no depression” and “depression” groups were 10 and 78 in the GTC data, and 65 and 25 in the NDMC data, respectively. There was a significant difference in the mean EALVI values between the two groups in both the GTC and NDMC data (p = 8.9 × 10−3, Cliff’s delta = 0.51 and p = 1.6 × 10−3; Cliff’s delta = 0.43, respectively). The area under the curve of the receiver operating characteristic curve when discriminating both groups by EALVI was 0.76 in GTC data and 0.72 in NDMC data. Indirectly, the data suggest that there is some relationship between emotional arousal level and depression severity.

scholarly journals Evaluation of emotional arousal level and depression severity using the centripetal force derived from voice

2020 ◽  
Author(s):  
Shuji Shinohara ◽  
Hiroyuki Toda ◽  
Taku Saito ◽  
Masaaki Tanichi ◽  
Shunji Mitsuyoshi ◽  
...  
Keyword(s):  
Rating Scale ◽  
Correlation Coefficients ◽  
Emotional Arousal ◽  
Arousal Level ◽  
Centripetal Force ◽  
Depression Severity ◽  
Medical College ◽  
Depression Group ◽  
National Defense Medical College ◽  
Significant Difference

In this research, we propose a new voice feature called centripetal force (CF) to investigate the relationship between emotional arousal level and depression severity. First, CFs were calculated from various speech recordings in the interactive emotional dyadic motion capture database, and the correlation with the arousal level of each voice was examined. The resulting correlation coefficient was 0.52. We collected a total of 178 datasets comprising 10 speech phrases and the Hamilton Rating Scale for Depression (HAM-D) score of outpatients with major depression at the Ginza Taimei Clinic (GTC) and the National Defense Medical College (NDMC) Hospital. The correlation coefficients between CF and HAM-D scores were -0.33 and -0.43 at the GTC and NDMC, respectively. Next, the dataset was divided into the no depression group (HAM-D<8) and the depression group (HAM-D ≥ 8) according to the HAM-D score. There was a significant difference in the mean CF values between the two groups in both the GTC and NDMC data (p = 0.0089 and p = 0.0016, respectively). The AUC when discriminating both groups by CF was 0.76 in GTC data and 0.72 in NDMC data. Indirectly, using CF established a relationship between emotional arousal level and depression severity.

scholarly journals Evaluation of the Severity of Major Depression Using a Voice Index for Emotional Arousal

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5041
Author(s):  
Shuji Shinohara ◽  
Hiroyuki Toda ◽  
Mitsuteru Nakamura ◽  
Yasuhiro Omiya ◽  
Masakazu Higuchi ◽  
...  
Keyword(s):  
Rating Scale ◽  
Area Under The Curve ◽  
Emotional Arousal ◽  
Arousal Level ◽  
National Defense ◽  
College Hospital ◽  
Medical College ◽  
National Defense Medical College ◽  
Significant Difference ◽  
The Relationship

Recently, the relationship between emotional arousal and depression has been studied. Focusing on this relationship, we first developed an arousal level voice index (ALVI) to measure arousal levels using the Interactive Emotional Dyadic Motion Capture database. Then, we calculated ALVI from the voices of depressed patients from two hospitals (Ginza Taimei Clinic (H1) and National Defense Medical College hospital (H2)) and compared them with the severity of depression as measured by the Hamilton Rating Scale for Depression (HAM-D). Depending on the HAM-D score, the datasets were classified into a no depression (HAM-D < 8) and a depression group (HAM-D ≥ 8) for each hospital. A comparison of the mean ALVI between the groups was performed using the Wilcoxon rank-sum test and a significant difference at the level of 10% (p = 0.094) at H1 and 1% (p = 0.0038) at H2 was determined. The area under the curve (AUC) of the receiver operating characteristic was 0.66 when categorizing between the two groups for H1, and the AUC for H2 was 0.70. The relationship between arousal level and depression severity was indirectly suggested via the ALVI.

scholarly journals Evaluation of the Severity of Major Depression Using a Voice Index for Emotional Arousal

2020 ◽  
Author(s):  
Shuji Shinohara ◽  
Hiroyuki Toda ◽  
Mitsuteru Nakamura ◽  
Yasuhiro Omiya ◽  
Masakazu Higuchi ◽  
...  
Keyword(s):  
Rating Scale ◽  
Area Under The Curve ◽  
Emotional Arousal ◽  
Arousal Level ◽  
National Defense ◽  
College Hospital ◽  
Medical College ◽  
National Defense Medical College ◽  
Significant Difference ◽  
The Relationship

Recently, the relationship between emotional arousal and depression has been studied. Focusing on this relationship, we first developed an arousal level voice index (ALVI) to measure arousal levels using the Interactive Emotional Dyadic Motion Capture database. Then, we calculated ALVI from the voices of depressed patients from two hospitals (Ginza Taimei Clinic [GTC] and National Defense Medical College hospital [NDMC]) and compared them with the severity of depression as measured by the Hamilton Rating Scale for Depression (HAM-D). Depending on the HAM-D score, the datasets were classified into a no depression (HAM-D&amp;lt;8) and a depression group (HAM-D&ge;8) for each hospital. A comparison of the mean ALVI between the groups was performed using the Wilcoxon rank-sum test and a significant difference at the level of 10% (p = 0.094) at GTC and 1% (p = 0.0038) at NDMC was determined. The area under the curve (AUC) of the receiver operating characteristic was 0.66 when categorizing between the two groups for GTC, and the AUC for NDMC was 0.70. The relationship between arousal level and depression severity was indirectly suggested via ALVI.

scholarly journals A new respiratory monitor system for four-dimensional computed tomography by measuring the pressure change on the back of body

2020 ◽  
Vol 93 (1108) ◽  
pp. 20190303
Author(s):  
Xianwen Zhang ◽  
Jintian Tang ◽  
Gregory C. Sharp ◽  
Lei Xiao ◽  
Shouping Xu ◽  
...  
Keyword(s):  
Body Movement ◽  
Pressure Change ◽  
Respiratory Monitoring ◽  
Time Shift ◽  
Monitoring Method ◽  
Respiration Monitoring ◽  
Number Of Patients ◽  
Significant Difference ◽  
The Difference ◽  
Position Management

Objective: A novel respiratory monitoring method based on the periodical pressure change on the patient’s back was proposed and assessed by applying to four-dimensional CT (4DCT) scanning. Methods: A pressure-based respiratory monitoring system is developed and validated by comparing to real-time position management (RPM) system. The pressure change and the RPM signal are compared with phase differences and correlations calculated. The 4DCT images are reconstructed by these two signals. Internal and skin artifacts due to mismatch between CT slices and respiratory phases are evaluated. Results: The pressure and RPM signals shows strong consistency (R = 0.68±0.19 (1SD)). The time shift is 0.26 ± 0.51 (1SD) s and the difference of breath cycle is 0.02 ± 0.17 (1SD) s. The quality of 4DCT images reconstructed by two signals is similar. For both methods, the number of patients with artifacts is eight and the maximum magnitudes of artifacts are 20 mm (internal) and 10 mm (skin). The average magnitudes are 8.8 mm (pressure) and 8.2 mm (RPM) for internal artifacts, and 5.2 mm (pressure) and 4.6 mm (RPM) for skin artifacts. The mean square gray value difference shows no significant difference (p = 0.52). Conclusion: The pressure signal provides qualified results for respiratory monitoring in 4DCT scanning, demonstrating its potential application for respiration monitoring in radiotherapy. Advances in knowledge: Pressure change on the back of body is a novel and promising method to monitor respiration in radiotherapy, which may improve treatment comfort and provide more information about respiration and body movement.

Influence of Physical Therapy Modalities on Pain in Osteoporosis Patients: initial results of the treatment with physical therapy

2016 ◽  
Vol 70 (1) ◽  
pp. 19-23
Author(s):  
Valentina Koevska ◽  
Snezana Perchinkova-Mishevska ◽  
Erieta Nikolik-Dimitrova ◽  
Biljana Mitrevska
Keyword(s):  
Physical Therapy ◽  
Pain Intensity ◽  
Rating Scale ◽  
Chronic Back Pain ◽  
Low Frequency ◽  
Physical Therapy Modalities ◽  
Number Of Patients ◽  
Therapeutic Exercises ◽  
Significant Difference ◽  
A Prospective Study

Abstract Introduction. Osteoporosis causes chronic back pain leading to restriction of functional capacity and quality of life. The aim of this study was to examine the influence of physical therapy modalities on pain in patients with osteoporosis. Methods. This is a prospective study of patients with osteoporosis, randomly chosen and followed for three months in the Institute of Physical Medicine and Rehabilitation (IPMR). Physical therapy consisted of physical modalities and therapeutic exercises. Physical therapy modalities included interferential currents and pulsed low-frequency electromagnetic field conducted each day with weekend breaks, 21 in total. Patients had therapeutic exercises 3 times a week during the entire follow-up period. Patients were assigned into two groups. The first group consisted of nine patients who underwent physical procedures and the second group consisted of nine patients who did not receive physical therapy modalities. Two check-ups were made on day 21 and at the end of the third month. Assessment of pain intensity was made by the use of a numeric pain rating scale. Results. No significant difference between the groups was observed regarding mean age of patients (p<0.21). The first check-up showed a significantly higher pain score in the second group of patients (p=0.0003). There was no significant difference in pain intensity between both groups of patients in the three-month period of investigation (p<0.63). Conclusion. Physical therapy modalities influence on pain in patients with osteoporosis. Our investigation included a small number of patients and hence further studies are necessary.

scholarly journals Female Sexual Dysfunction in Patients Treated with Antidepressants: A Comparison between Agomelatine and Escitalopram

2021 ◽  
pp. 196-204
Author(s):  
Virinder Kaur ◽  
Ng Chong Guan ◽  
Jesjeet Singh Gill ◽  
Low Sue-Yin
Keyword(s):  
Sexual Dysfunction ◽  
Sexual Desire ◽  
Female Sexual Dysfunction ◽  
Rating Scale ◽  
Psychiatric Clinic ◽  
Depression Severity ◽  
Cross Sectional ◽  
Care Clinic ◽  
Significant Difference ◽  
Desire Disorder

Aim: This study aims to determine and compare the prevalence of Female Sexual Dysfunction (FSD) between patients on escitalopram and agomelatine, as well as to investigate possible factors associated with their usage. Study Design: Cross-sectional. Place and Duration of Study: Psychiatric Day Care Clinic, Department of Psychological Medicine, University Malaya Medical Centre (UMMC), Malaysia, between November 1, 2020 until February 1, 2021. Methodology: This study is a cross-sectional study involving 66 women with depression from the outpatient psychiatric clinic of a university hospital; 35 of whom were prescribed with escitalopram and 31 with agomelatine. The subjects were in remission and had no significant signs or symptoms of depression for at least 2 months. The prevalence of FSD between the two groups were compared after adjusting for underlying depression severity. Results: This study showed that the overall prevalence rate of FSD was 33.3%, with the prevalence being higher for those on escitalopram (42.9%) than those on agomelatine (22.6%), but did not achieve statistical significance (P=0.081). Out of the six domains of FSD, multivariate analyses revealed that there was a significant reduction of 69% in sexual desire disorder (95% CI:0.110, 0.855), P=0.022 for those on agomelatine compared to escitalopram. Controlling for drug dosage and depression severity (as measured using Montgomery-Asberg Depression Rating Scale), the odds for patients on agomelatine developing sexual desire disorder was 0.267 (95% CI:0.091, 0.783), P=0.016. Conclusion: There was no significant difference in FSD risk between patients on agomelatine and those on escitalopram. Patients on agomelatine were however less likely to develop sexual desire disorder, which demonstrates a slightly better sexual acceptability profile of agomelatine in women in this respect compared to escitalopram.

scholarly journals A mental health assessment method based on emotion level derived from voice

2019 ◽  
Author(s):  
Shuji Shinohara ◽  
Mitsuteru Nakamura ◽  
Yasuhiro Omiya ◽  
Naoki Hagiwara ◽  
Shunji Mitsuyoshi ◽  
...  
Keyword(s):  
Mental Health ◽  
Rating Scale ◽  
Characteristic Curve ◽  
Economic Loss ◽  
Developed Countries ◽  
Assessment Method ◽  
Treatment Costs ◽  
Healthy Individuals ◽  
Significant Difference ◽  
Voice Data

Abstract Background: In many developed countries, mental health disorders have become a problem, and the economic loss due to treatment costs and interference with work is immeasurable. Therefore, a simple technique must be developed to determine individuals’ depressive state and stress levels. Voice analysis using smartphones is not only noninvasive, it does not require a dedicated device; thus, it can be performed conveniently and remotely. Consequently, we developed a method to assess individuals’ mental health levels using emotional components contained in the human voice. Methods: We proposed two indices of mental health: a short-term index (vitality) and mental activity calculated from long-term trends in vitality. We used the voices of healthy individuals (men: n = 10, Mage = 42.7 ± 6.0 years; women: n = 4, Mage = 35.0 ± 14.4 years) and patients with major depression (men: n = 19, Mage = 43.7 ± 11.0 years; women: n = 11, Mage = 53.9 ± 8.2 years). For patients, simultaneously with voice collection, specialists assessed current depression severity using the Hamilton Rating Scale for Depression (HAM-D). Results: A significant negative correlation existed between the vitality extracted from voice and HAM-D score (r = -0.33, p < .05). We could discriminate the voice data of healthy individuals and patients with depression (judged as moderate or severe by the specialists) with high accuracy using vitality (p = .0085, the area under the curve (AUC) of the receiver operating characteristic curve = 0.87). However, there was no significant difference between the vitality of the healthy individuals and the patients judged to be the “no depression group with almost no depressive symptoms,” even if they were outpatients with depression (p > .1, AUC = 0.64). Conclusions: We developed a method to estimate stress through emotion instead of analyzing stress directly from voice data. By daily monitoring of vitality using smartphones, we can encourage hospital visits for people before they become depressed or during the early stages of depression. This may lead to reduced economic loss due to treatment costs and interference with work.

scholarly journals Preoperative CT-Based Radiomics Combined With Nodule Type to Predict the Micropapillary Pattern in Lung Adenocarcinoma of Size 2 cm or Less: A Multicenter Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Meirong Li ◽  
Yachao Ruan ◽  
Zhan Feng ◽  
Fangyu Sun ◽  
Minhong Wang ◽  
...  
Keyword(s):  
Characteristic Curve ◽  
External Validation ◽  
Area Under The Curve ◽  
Prediction Performance ◽  
High Resolution Computed Tomography ◽  
Preoperative Prediction ◽  
Number Of Patients ◽  
Significant Difference ◽  
Validation Set ◽  
Micropapillary Pattern

PurposeTo construct an optimal radiomics model for preoperative prediction micropapillary pattern (MPP) in adenocarcinoma (ADC) of size ≤ 2 cm, nodule type was used for stratification to construct two radiomics models based on high-resolution computed tomography (HRCT) images.Materials and MethodsWe retrospectively analyzed patients with pathologically confirmed ADC of size ≤ 2 cm who presented to three hospitals. Patients presenting to the hospital with the greater number of patients were included in the training set (n = 2386) and those presenting to the other two hospitals were included in the external validation set (n = 119). HRCT images were used for delineation of region of interest of tumor and extraction of radiomics features; dimensionality reduction was performed for the features. Nodule type was used to stratify the data and the random forest method was used to construct two models for preoperative prediction MPP in ADC of size ≤ 2 cm. Model 1 included all nodule types and model 2 included only solid nodules. The receiver operating characteristic curve was used to assess the prediction performance of the two models and independent validation was used to assess its generalizability.ResultsBoth models predicted ADC with MPP preoperatively. The area under the curve (AUC) of prediction performance of models 1 and 2 were 0.91 and 0.78, respectively. The prediction performance of model 2 was lower than that of model 1. The AUCs in the external validation set were 0.81 and 0.72, respectively. The DeLong test showed statistically significant differences between the training and validation sets in model 1 (p = 0.0296) with weak generalizability. There was no statistically significant difference between the training and validation sets in model 2 (p = 0.2865) with some generalizability.ConclusionNodule type is an important factor that affects the performance of radiomics predictor model for MPP with ADC of size ≤ 2 cm. The radiomics prediction model constructed based on solid nodules alone, can be used to evaluate MPP and may contribute to proper surgical planning in patients with ADC of size ≤ 2 cm.

scholarly journals Perioperative mental status assessment of patients undergoing general surgical procedures

2018 ◽  
Vol 5 (8) ◽  
pp. 2788
Author(s):  
Prem Kumar A. ◽  
Raksha Nadig ◽  
Shashikala V. ◽  
Vikram Arunachalam
Keyword(s):  
Mental Status ◽  
Surgical Procedures ◽  
Surgical Procedure ◽  
Rating Scale ◽  
Psychological Status ◽  
Low Mood ◽  
Number Of Patients ◽  
Significant Difference ◽  
Psychiatric Rating ◽  
Psychiatric Rating Scale

Background: The past few decades have seen an enormous increase in the number of patients undergoing curative and palliative surgical procedures. The objective of the present study was to assess the mental status in a patient undergoing a general surgical procedure perioperatively.Methods: 105 patients admitted in a surgical ward, posted to undergo an elective surgical procedure were evaluated to assess their psychological status. Each patient was subjected to a Brief Psychiatric Rating Scale questionnaire twice, once preoperatively and postoperatively. Both sessions were conducted in a calm environment and the patient was administered adequate analgesia to eliminate bias due to pain. The preoperative and postoperative scores were calculated and compared.Results: BPRS is a psychiatric rating scale used in various psychiatric conditions. Using this scale, we were able to detect the presence of a baseline low mood in a patient undergoing a surgical procedure. The average score preoperatively was 35.84 and postoperatively was 32.68. These scores were higher in patients undergoing surgeries for malignant conditions and also in those with co-morbid conditions like diabetes mellitus. Although there was an improvement in the postoperative scores, there was no significant difference between the preoperative and postoperative scores.Conclusions: A surgical procedure puts a patient through immense psychological stress manifested as low mood and reduced motivation on the part of the patient to participate in their own rehabilitation programme. This affects the overall outcome of a surgical procedure and increases the morbidity. Knowledge of this on part of the operating surgeon and thus proper counselling of the patient, addressing both the psychological and surgical aspects of the disease process will help improve the overall surgical experience.

scholarly journals The incidence of neuropathic pain symptoms in patients with knee osteoarthritis

2020 ◽  
Vol 73 (9-10) ◽  
pp. 291-294
Author(s):  
Josip Ivacic ◽  
Enis Garipi ◽  
Aleksandar Knezevic ◽  
Nikola Boskovic
Keyword(s):  
Neuropathic Pain ◽  
Knee Osteoarthritis ◽  
Rating Scale ◽  
Common Symptom ◽  
Number Of Patients ◽  
Significant Difference ◽  
Maximum Pain ◽  
Average Pain ◽  
Numeric Pain Rating Scale ◽  
Pain Symptoms

Introduction. Pain is the most common symptom of knee osteoarthritis. Until recently, this pain was referred to as nociceptive pain. However, the difficulties of pain management in knee osteoarthritis indicate the possible presence of a neuropathic component. The objective of this study was to determine how often neuropathic component is part of chronic pain in knee osteoarthritis. Material and Methods. The study included 417 patients with knee osteoarthritis. The patients were tested using the Neuropathic Pain (Douleur Neuropathique) 4 Questions and a Numeric Pain Rating Scale. Patients were divided into 2 groups. The first group included patients with a Neuropathic Pain 4 Questions score ? 4, and the second group with a score < 4. Results. The majority of patients included in this study were females (301, 72.2%), and most of the patients scored less than 4 in the questionnaire (231, 55.4%). Among the patients with a score ? 4, 144 (77.4%) were female, which is significantly higher compared to the group of patients who scored < 4, 157 (68%) (p = 0.037). There was no statistically significant difference in age between the two groups (p = 0.231). The current pain intensity, average pain, and maximum pain during the last 4 weeks were significantly higher in the group with a score ? 4 (p < 0.001). Conclusion. A significant number of patients with knee osteoarthritis had a neuropathic component of pain. There were significantly more women in the group with score ? 4, and this group also reported significantly higher current, as well as average and maximum pain during last 4 weeks than the other group.

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