scholarly journals Age-Related Changes in the Characteristics of the Elderly Females Using the Signal Features of an Earlobe Photoplethysmogram

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7782
Author(s):  
Jeong-Woo Seo ◽  
Jungmi Choi ◽  
Kunho Lee ◽  
Jaeuk U. Kim
Keyword(s):  
Deep Learning ◽  
Linear Regression Analysis ◽  
Differential Forms ◽  
The Elderly ◽  
Multiple Linear Regression Analysis ◽  
Non Invasive ◽  
Aging Index ◽  
Age Related ◽  
Signal Features ◽  
Learning Techniques

Non-invasive measurement of physiological parameters and indicators, specifically among the elderly, is of utmost importance for personal health monitoring. In this study, we focused on photoplethysmography (PPG), and developed a regression model that calculates variables from the second (SDPPG) and third (TDPPG) derivatives of the PPG pulse that can observe the inflection point of the pulse wave measured by a wearable PPG device. The PPG pulse at the earlobe was measured for 3 min in 84 elderly Korean women (age: 71.19 ± 6.97 years old). Based on the PPG-based cardiovascular function, we derived additional variables from TDPPG, in addition to the aging variable to predict the age. The Aging Index (AI) from SDPPG and Sum of TDPPG variables were calculated in the second and third differential forms of PPG. The variables that significantly correlated with age were c/a, Tac, AI of SDPPG, sum of TDPPG, and correlation coefficient ‘r’ of the model. In multiple linear regression analysis, the r value of the model was 0.308, and that using deep learning on the model was 0.839. Moreover, the possibility of improving the accuracy of the model using supervised deep learning techniques, rather than the addition of datasets, was confirmed.

scholarly journals More Teeth and Posterior Balanced Occlusion Are a Key Determinant for Cognitive Function in the Elderly

2021 ◽  
Vol 18 (4) ◽  
pp. 1996
Author(s):  
Taejun Park ◽  
Yun-Sook Jung ◽  
Keunbada Son ◽  
Yong-Chul Bae ◽  
Keun-Bae Song ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Function ◽  
Rural Areas ◽  
Linear Regression Analysis ◽  
The Elderly ◽  
Multiple Linear Regression Analysis ◽  
Age Related ◽  
Chewing Ability ◽  
Denture Status ◽  
Normal Cognition

Age-related decline in cognitive function is a major challenge in geriatric healthcare. A possible explanation is that the tooth loss or low chewing ability is at cause of cognitive impairment or dementia. The study aimed to investigate the potential relationship between chewing ability and cognitive function in the elderly. A total of 563 participants aged 65 years or over residing in urban and rural areas of South Korea were surveyed. The chewing ability was measured by objectively measurable indications such as the number of remaining teeth, denture status, color-changeable gum, and occlusal balance using T-Scan III®. The cognitive function was measured by the Korean version of Mini-Mental State Examination-Dementia Screening (MMSE-DS) and a score of 24 or more (out of 30) indicates a normal cognition, below 23 indicates cognitive impairment. The association between socio-demographic factors, chewing ability factors, and cognitive function demonstrated statistically significant results. When comparing the denture status and chewing ability, the proportion of need denture group had fewer remaining teeth and anterior balanced occlusion. The average number of remaining teeth in anterior balanced occlusion with cognitive impairment was 11.2 compared to posterior balanced occlusion with the normal cognition 19.2. A multiple linear regression analysis declared a significant correlation between number of remaining teeth, denture status, occlusal balance, and cognitive function. Results of the present study revealed objectively measurable indications are suitable for chewing ability assessment and correlated with cognitive function.

scholarly journals Leptin and Aging: Correlation with Endocrine Changes in Male and Female Healthy Adult Populations of Different Body Weights

2000 ◽  
Vol 85 (5) ◽  
pp. 1954-1962 ◽  
Author(s):  
Andrea M. Isidori ◽  
Felice Strollo ◽  
Michele Morè ◽  
Massimiliano Caprio ◽  
Antonio Aversa ◽  
...  
Keyword(s):  
Plasma Levels ◽  
Linear Regression Analysis ◽  
Age Groups ◽  
Dehydroepiandrosterone Sulfate ◽  
Multiple Linear Regression Analysis ◽  
Multiple Regression Model ◽  
Sex Hormone Binding Globulin ◽  
Obese Women ◽  
Age Related ◽  
Plasma Leptin

Abstract Aging is associated with changes in plasma levels of several hormones. There are conflicting reports on whether circulating leptin levels change during aging, the possible explanation for which is that alterations in adiposity and body mass index (BMI) also occur. In this study we measured plasma leptin and other hormonal parameters known to influence leptin in 150 men and 320 women of a wide age (18–77 yr) and BMI (18.5–61.1 kg/m2) range. Subjects of each gender were separated into 2 groups of similar BMI, i.e. nonobese (BMI, <30) and obese (BMI, >30), and treated separately. Statistical analysis was performed, treating each group of subjects as a whole population or divided into age groups (<30, 30–50, and >50 yr). BMI-adjusted leptin levels were progressively lower with increasing age in women, with a consistent fall after menopause (−21%; P < 0.001); in men, leptin levels also tended to be lower in subjects more than 50 yr of age, but the reduction was not significant. Multiple linear regression analysis, performed on subjects treated either as a whole population or divided into obese and nonobese, showed that in both genders BMI and age were independent contributors of leptin levels, and there was an inverse relationship between leptin and age in both obese (standardized coefficient β = −0.25 in women and −0.23 in men; P < 0.01) and nonobese (−0.22 in women and −0.20 in men; P < 0.05) subjects. The correlation of leptin and age with plasma levels of sex and thyroid hormones, GH, insulin-like growth factor I, PRL, and insulin was also evaluated. The variables that correlated with leptin were included in a multiple regression model that included BMI and age. Testosterone in men (−0.43 in nonobese and −0.19 in obese; P < 0.05) and estradiol in women (0.22 in nonobese and 0.24 in obese; P < 0.05) were important contributors to leptin levels; also, dehydroepiandrosterone sulfate in obese women (−0.16) and sex hormone-binding globulin in obese subjects of both genders (0.15 in women and 0.19 in men) were significant determinants in the model. However, none of the hormonal parameters abolished the negative correlation between leptin and age or the gender difference in leptin levels. In conclusion, our data show that in adult humans of different body weight, serum leptin gradually declines during aging; leptin reduction is higher in women than in men, but it is independent from BMI and other age-related endocrine changes.

scholarly journals Improving Efficiency in Separating Blood Vessels from Retinal Images with Deep Learning Techniques

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3637-3640
Keyword(s):  
Diabetic Retinopathy ◽  
Deep Learning ◽  
Macular Degeneration ◽  
Blood Vessels ◽  
Age Related Macular Degeneration ◽  
Retinal Images ◽  
Retinal Vessels ◽  
Age Related ◽  
Learning Techniques ◽  
Retinal Pathologies

Retinal vessels ID means to isolate the distinctive retinal configuration issues, either wide or restricted from fundus picture foundation, for example, optic circle, macula, and unusual sores. Retinal vessels recognizable proof investigations are drawing in increasingly more consideration today because of pivotal data contained in structure which is helpful for the identification and analysis of an assortment of retinal pathologies included yet not restricted to: Diabetic Retinopathy (DR), glaucoma, hypertension, and Age-related Macular Degeneration (AMD). With the advancement of right around two decades, the inventive methodologies applying PC supported systems for portioning retinal vessels winding up increasingly significant and coming nearer. Various kinds of retinal vessels segmentation strategies discussed by using Deep Learning methods. At that point, the pre-processing activities and the best in class strategies for retinal vessels distinguishing proof are presented.

scholarly journals No Difference in Neck Pain or Health-Related Quality Measures Between Patients With or Without Degenerative Cervical Spondylolisthesis

2021 ◽  
pp. 219256822110469
Author(s):  
Ian David Kaye ◽  
Arjun S. Sebastian ◽  
Scott C. Wagner ◽  
Nicholas Semenza ◽  
Daniel Bowles ◽  
...  
Keyword(s):  
Neck Pain ◽  
Linear Regression Analysis ◽  
Univariate Analysis ◽  
Degenerative Spondylolisthesis ◽  
Multiple Linear Regression Analysis ◽  
Retrospective Case ◽  
Related Condition ◽  
Arm Pain ◽  
Age Related ◽  
Related Quality

Study Design This study is a retrospective case control. Objectives This study aims to determine whether cervical degenerative spondylolisthesis (DS) is associated with increased baseline neck/arm pain and inferior health quality states compared to a similar population without DS. Methods Patient demographics, pre-operative radiographs, and baseline PROMs were reviewed for 315 patients undergoing anterior cervical decompression and fusion (ACDF) with at least 1 year of follow-up. Patients were categorized based on the presence (S) or absence of a spondylolisthesis (NS). Statistically significant variables were further explored using multiple linear regression analysis. Results 49/242 (20%) patients were diagnosed with DS, most commonly at the C4–5 level (27/49). The S group was significantly older than the NS group (58.0 ± 10.7 vs 51.9 ± 9.81, P = .001), but otherwise, no demographic differences were identified. Although a higher degree of C2 slope was found among the S cohort (22.5 ± 8.63 vs 19.8 ± 7.78, P = .044), no differences were identified in terms of preoperative visual analogue scale (VAS) neck pain or NDI. In the univariate analysis, the NS group had significantly increased VAS arm pain relative to the S group (4.93 ± 3.16 vs 3.86 ± 3.30, P = .045), which was no longer significant in the multivariate analysis. Conclusions Although previous reports have suggested an association between cervical DS and neck pain, we could not associate the presence of DS with increased baseline neck or arm pain. Instead, DS appears to be a relatively frequent (20% in this series) age-related condition reflecting radiographic, rather than necessarily clinical, disease.

Disability and Principal Lifetime Occupation in the Elderly

1996 ◽  
Vol 43 (4) ◽  
pp. 317-324 ◽  
Author(s):  
Cristina Geroldi ◽  
Giovanni B. Frisoni ◽  
Renzo Rozzini ◽  
Marco Trabucchi
Keyword(s):  
Linear Regression Analysis ◽  
The Elderly ◽  
Multiple Linear Regression Analysis ◽  
Cognitive Status ◽  
Community Dwelling ◽  
Complete Disappearance ◽  
Italian Population ◽  
White Collar Workers ◽  
The Difference ◽  
Relationship Of

This study addresses the relationship of disability with principal lifetime occupation in the elderly. Daily function, cognitive, and physical health variables were assessed in an Italian population of 524 community-dwelling elders aged seventy and over. Farmers had 1.4 (95% C.I.: 0.6 to 2.2) instrumental daily functions lost higher than white-collar workers. Adjustment for age, education, and financial dissatisfaction with multiple linear regression analysis decreased the difference to a still significant figure of 0.9 (95% C.I.: 0.1 to 1.7). On the contrary, adjustment only for cognitive status resulted in complete disappearance of the association [0.2 functions lost (95% C.I.: −0.5 to 0.9)]. The data indicate that greater disability in the most disadvantaged occupational groups may be due to poorer cognition.

scholarly journals Poorly recognized age-related downward deviation of the inguinal ligament

2016 ◽  
Vol 4 ◽  
pp. 205031211667556 ◽  
Author(s):  
Yassir Nawaz ◽  
Mihir Barvalia ◽  
Gurinder Rana ◽  
M Zain Khakwani ◽  
Khizr Azim ◽  
...  
Keyword(s):  
Human Subjects ◽  
A Priori ◽  
Linear Regression Analysis ◽  
Age Groups ◽  
Vascular Complications ◽  
Multiple Linear Regression Analysis ◽  
Inguinal Ligament ◽  
Mean Deviation ◽  
Factors Affecting ◽  
Age Related

Objective: To determine factors affecting actual inguinal ligament course in live human subjects. Introduction and hypothesis: Although the expected inguinal ligament course is supposedly a straight line extending from anterior superior iliac spine to pubic tubercle, the actual inguinal ligament course is frequently depicted a priori by a downward bowing dotted line. There are no studies in a live subject supporting this assumption. We hypothesized this assumption is indeed valid and is related to among other factors a lifelong effect of gravity and lax abdominal musculature on the inguinal ligament course. Methods: We retrospectively reviewed 54 consecutive computed tomography scans of the abdomen and pelvis randomly distributed across all age groups. Actual inguinal ligament course was visualized by reconstructing images using Terracon software. Vertical distance from the lowest point of actual inguinal ligament course to the expected inguinal ligament course was measured. We used multiple linear regression analysis to study the correlation between degree of inguinal ligament deviation and several variables. Results: Actual inguinal ligament course was below the expected inguinal ligament course in 52 of 54 patients. The mean deviation was 8.2 ± 5.9 mm. Advanced age was significantly associated with greater downward bowing of the inguinal ligament (p = 0.001). Conclusion: Actual inguinal ligament course is often well below the expected inguinal ligament course; this downward bowing of the inguinal ligament is especially pronounced with advancing age. Operators need to be mindful as this downward bowing can lead to supra-inguinal sticks causing vascular complications.

Association Between Moderate and Vigorous Physical Activity and Gross Motor Coordination in Preschool Children

2019 ◽  
Vol 7 (2) ◽  
pp. 273-285 ◽  
Author(s):  
Sandra Silva-Santos ◽  
Amanda Santos ◽  
Michael Duncan ◽  
Susana Vale ◽  
Jorge Mota
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Motor Coordination ◽  
Vigorous Physical Activity ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Activity Levels ◽  
Gross Motor ◽  
Age Related ◽  
Movement Assessment

Introduction: Adequate gross motor coordination is essential for children participating in age-related physical activities and has an important role in maintaining sufficient physical activity levels during the life course. Aim: To examine the association between moderate-to-vigorous physical activity (MVPA) and gross motor coordination during sedentary behavior in early childhood (ages 3–6 y). Methods: The sample comprised 209 children aged 3–6 y. Gross motor coordination was assessed according to the Movement Assessment Battery for Children (MABC-2). The battery to assess gross motor coordination comprised the aiming and catching, and balance components. MVPA was measured by accelerometry worn for 7 consecutive days (Monday to Sunday). Results: Our data indicated that 31.5% of the sample had low, 32.5% medium, and 36.0% high gross motor coordination. Multiple linear regression analysis showed that MVPA was positively associated with gross motor coordination, adjusted for gender and sedentary behavior. Conclusions: Preschoolers with high gross motor coordination spend more time in MVPA. Gross motor coordination development should therefore be a key strategy in childhood interventions aiming to promote physical activity.

scholarly journals Automated Summarisation of SDOCT Volumes using Deep Learning: Transfer Learning vs de novo Trained Networks

2018 ◽  
Author(s):  
Bhavna J. Antony ◽  
Stefan Maetschke ◽  
Rahil Garnavi
Keyword(s):  
Deep Learning ◽  
Transfer Learning ◽  
De Novo ◽  
Imaging Modality ◽  
Age Related Macular Degeneration ◽  
Learning Approaches ◽  
Non Invasive ◽  
Age Related ◽  
Volumetric Images ◽  
Small Set

AbstractSpectral-domain optical coherence tomography (SDOCT) is a non-invasive imaging modality that generates high-resolution volumetric images. This modality finds widespread usage in ophthalmology for the diagnosis and management of various ocular conditions. The volumes generated can contain 200 or more B-scans. Manual inspection of such large quantity of scans is time consuming and error prone in most clinical settings. Here, we present a method for the generation of visual summaries of SDOCT volumes, wherein a small set of B-scans that highlight the most clinically relevant features in a volume are extracted. The method was trained and evaluated on data acquired from age-related macular degeneration patients, and “relevance” was defined as the presence of visibly discernible structural abnormalities. The summarisation system consists of a detection module, where relevant B-scans are extracted from the volume, and a set of rules that determines which B-scans are included in the visual summary. Two deep learning approaches are presented and compared for the classification of B-scans - transfer learning and de novo learning. Both approaches performed comparably with AUCs of 0.97 and 0.96, respectively, obtained on an independent test set. The de novo network, however, was 98% smaller than the transfer learning approach, and had a run-time that was also significantly shorter.

scholarly journals Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review

Diagnostics ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2032
Author(s):  
Ahmad Chaddad ◽  
Jiali Li ◽  
Qizong Lu ◽  
Yujie Li ◽  
Idowu Paul Okuwobi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Texture Analysis ◽  
Molecular Data ◽  
Autism Spectrum ◽  
Invasive Technique ◽  
Non Invasive ◽  
Learning Techniques ◽  
Healthy Control ◽  
Aided Diagnosis

Radiomics with deep learning models have become popular in computer-aided diagnosis and have outperformed human experts on many clinical tasks. Specifically, radiomic models based on artificial intelligence (AI) are using medical data (i.e., images, molecular data, clinical variables, etc.) for predicting clinical tasks such as autism spectrum disorder (ASD). In this review, we summarized and discussed the radiomic techniques used for ASD analysis. Currently, the limited radiomic work of ASD is related to the variation of morphological features of brain thickness that is different from texture analysis. These techniques are based on imaging shape features that can be used with predictive models for predicting ASD. This review explores the progress of ASD-based radiomics with a brief description of ASD and the current non-invasive technique used to classify between ASD and healthy control (HC) subjects. With AI, new radiomic models using the deep learning techniques will be also described. To consider the texture analysis with deep CNNs, more investigations are suggested to be integrated with additional validation steps on various MRI sites.

scholarly journals Analysis of Circulating Microvesicles Levels and Effects of Associated Factors in Elderly Patients With Obstructive Sleep Apnea

2021 ◽  
Vol 13 ◽  
Author(s):  
Jin Tan ◽  
Huifang Xing ◽  
Sha Sha ◽  
Jinwen Li ◽  
Yuyang Miao ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Elderly Patients ◽  
Linear Regression Analysis ◽  
Annexin V ◽  
The Elderly ◽  
Multiple Linear Regression Analysis ◽  
Factors Affecting ◽  
Obstructive Sleep ◽  
Potential Factors

Background: The incidence of obstructive sleep apnea (OSA) in the elderly is high, and the disorder is associated with a variety of chronic diseases. Microvesicles (MVs) are extracellular vesicles secreted by various cells during stimulation or apoptosis that play an important role in the pathogenesis of OSA. However, concentrations of circulating MVs in elderly patients with OSA remain unclear.Methods: Patients aged >60 years old were recruited and underwent polysomnography. Circulating plasma MV concentrations, including annexin V+MVs, endothelial MVs (EMVs), platelet MVs (PMVs), and leukocyte MVs (LMVs) levels, were measured using a flow cytometer with different labeling methods. Potential factors affecting the concentration of circulating MVs in elderly patients with OSA were determined via Spearman's correlation and multiple linear regression analysis.Results: Levels of circulating MVs, including both single- (annexin V+MVs, CD144+EMVs, CD41a+PMVs, and CD45+LMVs) and dual-labeled MVs (annexin V+CD144+EMVs), were elevated in elderly patients with OSA. Circulating MVs were positively correlated with OSA severity (AHI, ODI, and SPO2min). To some extent, obesity affected the MV concentrations in elderly patients with OSA. In addition, age and comorbidities may be associated with MV levels, but the correlations between the MV levels and age or comorbidities were not significant.Conclusion: Concentrations of circulating MVs in elderly patients with OSA are associated with the labeling method used, OSA severity, and obesity. The effects of age and comorbidities on circulating MV levels require further verification using a larger sample size.

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