Fuzzy adaptive cognitive stimulation therapy generation for Alzheimer’s sufferers: Towards a pervasive dementia care monitoring platform

Navarro, Javier; Doctor, Faiyaz; Zamudio, Víctor; Iqbal, Rahat; Sangaiah, Arun Kumar; Lino, Carlos

doi:10.1016/j.future.2018.06.018

Cited by 19 publications

(8 citation statements)

References 26 publications

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“…The maximum sum of the scores for time-dependent, developmental, and social and family relationship burdens was 20. The severity of the corresponding burden was defined as follows: Very slight (5-7), Slight (8-10), Average (11)(12)(13)(14), Serious (15)(16)(17), and Very Serious (18)(19)(20). The maximum score for physical and emotional burden was 16.…”

Section: B Results Of System Satisfaction Questionnaire Cbi and Inmentioning

confidence: 99%

“…Research on health and activity monitoring often includes systems that integrate imaging sensors, Internet of Things (IoT) devices, and multi-modal fusion (MF) technologies for the intelligent monitoring of patients which provide suggestions on environmental and behavioral changes for patients and relevant parties [10]. Research on cognitive games has resulted in the development of game-based cognition-stimulation systems for the stepwise assessment of cognitive impairment and the emotional status of AD patients, to reduce the workload of therapists [11]. For diagnostic systems, some studies have proposed the use of the advantages of 3D convolutional neural networks (3D-CNN) and fully stacked bidirectional long short-term memory (FSBi-LSTM) to construct a deep learning framework for the diagnosis of AD [12].…”

Section: A Previous Studiesmentioning

confidence: 99%

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Cloud-Based Smart Dog Music Therapy and Pneumonia Detection System for Reducing the Difficulty of Caring for Patients With Dementia

Lyu

Yuan

2020

IEEE Access

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There is currently no cure for Alzheimer's disease, leaving patients to rely solely on good quality care services to prolong their life. Besides, it has been found that the onset of pneumonia can accelerate the progression of dementia and even lead to death. This has led to an increased caregiving burden and a level of emotional stress among caregivers that can be unbearable. The aim of this study was to build a Smart Dog music therapy and pneumonia detection system, which combines a robotic dog, cloud technology, a multi-agent system, an adaptive network-based fuzzy inference system (ANFIS), a web application, and sensor technology to deliver care for patients with Alzheimer's disease and help mitigate the difficulties faced by caregivers. Interviews were conducted with caregivers following the use of the system to determine its usefulness in caregiving work and whether it improved their overall caregiving experience. A majority of the interviewed caregivers agreed that the system brought about improvements.

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Section: B Results Of System Satisfaction Questionnaire Cbi and Inmentioning

confidence: 99%

Section: A Previous Studiesmentioning

confidence: 99%

Cloud-Based Smart Dog Music Therapy and Pneumonia Detection System for Reducing the Difficulty of Caring for Patients With Dementia

Lyu

Yuan

2020

IEEE Access

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“…More studies have to be conducted on the stability of the model in respect of both missing data and data with different levels of noise. Finally further work will be done to apply the HSTSM approach to other application domains such as healthcare for the prediction and diagnosis of diseases [37], [38], real stock market to analyse trends and potential undesired market behaviour as well as a number of different physical systems to predict the behaviors of those systems [39].…”

Section: Discussionmentioning

confidence: 99%

Hierarchical Spatial-Temporal State Machine for Vehicle Instrument Cluster Manufacturing

Maniak

Iqbal

Doctor

2021

IEEE Trans. Intell. Transport. Syst.

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The vehicle instrument cluster is one of the most advanced and complicated electronic embedded control systems used in modern vehicles providing a driver with an interface to control and determine the status of the vehicle. In this paper, we develop a novel hybrid approach called Hierarchical Spatial-Temporal State Machine (HSTSM). The approach addresses a problem of spatial-temporal inference in complex dynamic systems. It is based on a memory-prediction framework and Deep Neural Networks (DNN) which is used for fault detection and isolation in automatic inspection and manufacturing of vehicle instrument cluster. The technique has been compared with existing methods namely rule-based, template-based, Bayesian, restricted Boltzmann machine and hierarchical temporal memory methods. Results show that the proposed approach can successfully diagnose and locate multiple classes of faults under real-time working conditions.

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“…These factors were useful for predicting the early warning signs of Alzheimer’s, and allowed the authors to provide recommendations to caregivers based on the prediction analyses. Navarro et al [16] developed a fuzzy adaptive cognitive stimulation therapy generation system for Alzheimer’s patients. The aim of the system was to reduce the cognitive burden of care workers and therapists.…”

Section: Related Workmentioning

confidence: 99%

Smart Cupboard for Assessing Memory in Home Environment

González-Landero¹,

García‐Magariño

Amariglio

et al. 2019

Sensors

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Sensor systems for the Internet of Things (IoT) make it possible to continuously monitor people, gathering information without any extra effort from them. Thus, the IoT can be very helpful in the context of early disease detection, which can improve peoples’ quality of life by applying the right treatment and measures at an early stage. This paper presents a new use of IoT sensor systems—we present a novel three-door smart cupboard that can measure the memory of a user, aiming at detecting potential memory losses. The smart cupboard has three sensors connected to a Raspberry Pi, whose aim is to detect which doors are opened. Inside of the Raspberry Pi, a Python script detects the openings of the doors, and classifies the events between attempts of finding something without success and the events of actually finding it, in order to measure the user’s memory concerning the objects’ locations (among the three compartments of the smart cupboard). The smart cupboard was assessed with 23 different users in a controlled environment. This smart cupboard was powered by an external battery. The memory assessments of the smart cupboard were compared with a validated test of memory assessment about face–name associations and a self-reported test about self-perceived memory. We found a significant correlation between the smart cupboard results and both memory measurement methods. Thus, we conclude that the proposed novel smart cupboard successfully measured memory.

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Fuzzy adaptive cognitive stimulation therapy generation for Alzheimer’s sufferers: Towards a pervasive dementia care monitoring platform

Cited by 19 publications

References 26 publications

Cloud-Based Smart Dog Music Therapy and Pneumonia Detection System for Reducing the Difficulty of Caring for Patients With Dementia

Cloud-Based Smart Dog Music Therapy and Pneumonia Detection System for Reducing the Difficulty of Caring for Patients With Dementia

Hierarchical Spatial-Temporal State Machine for Vehicle Instrument Cluster Manufacturing

Smart Cupboard for Assessing Memory in Home Environment

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