scholarly journals Classification of Thai Elderly People Based on Control Ability of Sugar Consumption

Author(s):  
Punnarumol Temdee ◽  
ChuanHui He ◽  
Marzia Hoque Tania
2012 ◽  
Vol 57 (SI-1 Track-N) ◽  
Author(s):  
M. Rulsch ◽  
J. Busse ◽  
M. Struck ◽  
C. Weigand

Neurology ◽  
2020 ◽  
Vol 94 (21) ◽  
pp. e2222-e2232 ◽  
Author(s):  
Gary Zammit ◽  
Yves Dauvilliers ◽  
Scott Pain ◽  
Dalma Sebök Kinter ◽  
Yosef Mansour ◽  
...  

ObjectiveTo assess the dose-response of daridorexant, a new dual orexin receptor antagonist, on wake after sleep onset (WASO).MethodsElderly (≥65 years) participants (n = 58) with insomnia were randomly allocated (Latin square design) to receive 5 treatments (5, 10, 25, and 50 mg daridorexant and placebo) during 5 treatment periods, each consisting of 2 treatment nights followed by a 5- to 12-day washout period. Main efficacy endpoints were the absolute change from baseline in WASO (primary) and latency to persistent sleep (LPS; secondary) to days 1 and 2 (mean of 2 treatment nights assessed by polysomnography) in each period. Safety and tolerability were also assessed.ResultsOf 58 participants included, 67% were female, and the median age was 69 years (range 65–85 years). WASO and LPS were dose-dependently reduced from baseline to days 1 and 2 after daridorexant administration (multiple comparison procedure modeling, p < 0.0001 and p = 0.004, respectively); reductions were statistically significant for doses ≥10 mg compared with placebo (WASO: −32.0, −45.1, −61.4 minutes; LPS: −44.9, −43.8, −45.4 minutes for 10, 25, and 50 mg, respectively, p ≤ 0.025). Treatment-emergent adverse events were similar for daridorexant and placebo; the most frequent were fatigue, nasopharyngitis, gait disturbance, and headache (≤7% in any group).ConclusionsDaridorexant was well tolerated. Dose-dependent improvements in WASO and LPS were statistically significant (dose range 10–50 mg) in elderly people with insomnia disorder.ClinicalTrials.gov identifier:NCT02841709.Classification of evidenceThis study provides Class I evidence that, for elderly people with insomnia, daridorexant reduced WASO.


Author(s):  
Vijayaprabakaran K. ◽  
Sathiyamurthy K. ◽  
Ponniamma M.

A typical healthcare application for elderly people involves monitoring daily activities and providing them with assistance. Automatic analysis and classification of an image by the system is difficult compared to human vision. Several challenging problems for activity recognition from the surveillance video involving the complexity of the scene analysis under observations from irregular lighting and low-quality frames. In this article, the authors system use machine learning algorithms to improve the accuracy of activity recognition. Their system presents a convolutional neural network (CNN), a machine learning algorithm being used for image classification. This system aims to recognize and assist human activities for elderly people using input surveillance videos. The RGB image in the dataset used for training purposes which requires more computational power for classification of the image. By using the CNN network for image classification, the authors obtain a 79.94% accuracy in the experimental part which shows their model obtains good accuracy for image classification when compared with other pre-trained models.


2020 ◽  
Vol 210 ◽  
pp. 106441
Author(s):  
Supansa Chaising ◽  
Punnarumol Temdee ◽  
Ramjee Prasad

2021 ◽  
Vol 23 (1) ◽  
pp. 119-130
Author(s):  
Bnar Abdulsalam Abdulrahman ◽  
◽  
Aree Ali Mohammed ◽  

2018 ◽  
Vol 17 (1) ◽  
pp. 13-17
Author(s):  
Dong-Suk Yang ◽  
Da-Young Lee ◽  
Sun-Young Oh ◽  
Ji-Yun Park

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