Help Me! MyDem Application for Early Stage Dementia Patients

Author(s):  
K.S. Savita ◽  
Jose Jorge Do Amaral Marrima ◽  
Manoranjitham Muniandy ◽  
A. I. Z. Abidin ◽  
S. M. Taib
2009 ◽  
Vol 3 (4) ◽  
pp. 299-302 ◽  
Author(s):  
Mitsue Meguro ◽  
Junichi Ishizaki ◽  
Kenichi Meguro

Abstract Although the collage art technique has been introduced as a psychotherapeutic method, it has not been fully applied in dementia. Objectives: To analyze characteristics of the collage articles produced by patients with Alzheimer's disease (AD). Methods: Twenty AD patients were asked to select and place several clippings as they wished. The MMSE was used for cognitive assessments. Results: Simplification and poor organization in their articles were found. The themes of one patient were found to change according to behavior. We discussed the images of the articles, especially spiritual images in the early stage and family images in the later stage. Conclusions: We concluded that the collage technique could provide new perspectives for dementia patients by exploring messages from their inner world.


Author(s):  
Lee-Nam Kwon ◽  
Dong-Hun Yang ◽  
Myung-Gwon Hwang ◽  
Soo-Jin Lim ◽  
Young-Kuk Kim ◽  
...  

With the global trend toward an aging population, the increasing number of dementia patients and elderly living alone has emerged as a serious social issue in South Korea. The assessment of activities of daily living (ADL) is essential for diagnosing dementia. However, since the assessment is based on the ADL questionnaire, it relies on subjective judgment and lacks objectivity. Seven healthy seniors and six with early-stage dementia participated in the study to obtain ADL data. The derived ADL features were generated by smart home sensors. Statistical methods and machine learning techniques were employed to develop a model for auto-classifying the normal controls and early-stage dementia patients. The proposed approach verified the developed model as an objective ADL evaluation tool for the diagnosis of dementia. A random forest algorithm was used to compare a personalized model and a non-personalized model. The comparison result verified that the accuracy (91.20%) of the personalized model was higher than that (84.54%) of the non-personalized model. This indicates that the cognitive ability-based personalization showed encouraging performance in the classification of normal control and early-stage dementia and it is expected that the findings of this study will serve as important basic data for the objective diagnosis of dementia.


2019 ◽  
Vol 23 (3) ◽  
pp. 128-135
Author(s):  
Güzel Dişcigil ◽  
F. Sıla Ayan

2016 ◽  
Vol 1 (15) ◽  
pp. 4-11
Author(s):  
Michelle Tristani

Philosophically different pathways and opinions exist regarding speech-language pathology services for persons living with dementia. Many believe we should be involved in leveling or staging all dementia patients and that our services are medically necessary for most diagnosed with dementia. Others deem that speech-language pathology services are not beneficial for this population and that we should not be involved because of the progressive nature of the disease and its resulting obstruction to learning new information. Achieving a clinically appropriate balance is needed if we are to bridge the gap between both approaches. Realization of a middle ground calls for agreement regarding criteria for cognitive evaluation, components of skilled cognitive intervention, and a framework for significant progress. Once consensus is achieved for these preliminary elements, speech-language pathologists will be in a better position to: develop functional, reasonable, and necessary cognitive treatment procedures; formulate objective, measurable, and individualized goals; and prioritize safety, communication, and quality of life within cognitive management pathways for all stages of dementia. The early stage dementia diagnosis presents unique challenges and opportunities for speech-language pathologists. We begin here in reducing the gap in our cognitive approaches for the dementia population.


2019 ◽  
Vol 3 (3) ◽  
pp. 83-90
Author(s):  
Krishna Prasad Pathak

Nurses fell barriers in management and care of dementia patients. A purposive random sampling approach identified 44 Registered Nurses (RN). The Knowledge of RNs’ with regard to the diagnosis, management and care of dementia was unsatisfactory on the aspects of  practices and management barriers are presented with regard to the following issues: negative views of dementia, difficulty in diagnosing early stage dementia, acceptability of specialists and responsibility for extra issues, knowledge of dementias and ageing, less awareness of declining abilities and diminished resources to handle care,  guidelines,  awareness of epidemiology and advice giving, and communicating the diagnosis.The following paper outlines the problems and solutions that Nepalese nurses’ in the community need to adopt in order to deal effectively with its diagnosis, care and management.


1995 ◽  
Vol 35 (5) ◽  
pp. 691-695 ◽  
Author(s):  
L. Snyder ◽  
M. P. Quayhagen ◽  
S. Shepherd ◽  
D. Bower

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Szu-Ying Lin ◽  
Kun-Ju Lin ◽  
Po-Chen Lin ◽  
Chin-Chang Huang ◽  
Chiung-Chih Chang ◽  
...  

Abstract Introduction Due to the high cost and high failure rate of ascertaining amyloid positron emission tomography positivity (PET+) in patients with earlier stage Alzheimer’s disease (AD), an effective pre-screening tool for amyloid PET scans is needed. Methods Patients with mild cognitive impairment (n = 33, 24.2% PET+, 42% females, age 74.4 ± 7.5, MMSE 26.8 ± 1.9) and mild dementia (n = 19, 63.6% PET+, 36.3% females, age 73.0 ± 9.3, MMSE 22.6 ± 2.0) were recruited. Amyloid PET imaging, Apolipoprotein E (APOE) genotyping, and plasma amyloid β (Aβ)1–40, Aβ1–42, and total tau protein quantification by immunomagnetic reduction (IMR) method were performed. Receiver operating characteristics (ROC) analysis and Youden’s index were performed to identify possible cut-off points, clinical sensitivities/specificities, and areas under the curve (AUCs). Results Amyloid PET+ participants had lower plasma Aβ1–42 levels than amyloid PET-negative (PET−) subjects. APOE ε4 carriers had higher plasma Aβ1–42 than non-carriers. We developed an algorithm involving the combination of plasma Aβ1–42 and APOE genotyping. The success rate for detecting amyloid PET+ patients effectively increased from 42.3 to 70.4% among clinically suspected MCI and mild dementia patients. Conclusions Our results demonstrate the possibility of utilizing APOE genotypes in combination with plasma Aβ1–42 levels as a pre-screening tool for predicting the positivity of amyloid PET findings in early stage dementia patients.


Author(s):  
Robert Chen ◽  
Kai-Hsiang Stanley Chen

This chapter focuses on the utility of transcranial magnetic stimulation (TMS) for clinical diagnosis and follow-up. It first introduces the methods to measure corticospinal excitability, intracortical inhibitory and facilitatory circuits, and cortico-cortical connections. The chapter then discusses the use of TMS in several neurological disorders. Central motor conduction time (CMCT) can be used to detect myelopathy and localize the lesions, although the triple stimulation technique has higher sensitivity. CMCT can also detect upper motor neuron involvement in amyotrophic lateral sclerosis and multiple sclerosis. The ipsilateral silent period and CMCT are helpful for differentiating atypical parkinsonism from Parkinson’s disease. Distinct patterns of cortical excitability findings can be obtained from different genetic forms of hereditary spinocerebellar ataxia. Reduction of short afferent inhibition (SAI) can differentiate Alzheimer’s disease and frontotemporal dementia. Patients with diffuse Lewy body dementia and hallucination also have reduced SAI. The results of motor evoked potential measurements in the early stage of stroke are predictive of the long-term motor outcome. The chapter concludes that TMS has clinical diagnostic utility in a broad range of neurological diseases.


Sign in / Sign up

Export Citation Format

Share Document