Prototypical System to Detect Anxiety Manifestations by Acoustic Patterns in Patients with Dementia

Hernandez-Cruz, Netzahualcoyotl; García-Constantino, Matías; Beltrán-Márquez, Jessica; Hecker, Pascal; Favela, Jesús; Rafferty, Joseph; Cleland, Ian; López-Nava, Irvin Hussein; Arnrich, Bert; McChesney, Ian

doi:10.4108/eai.10-2-2020.163097

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Hernandez et al described the development of a system to detect anxiety manifestations by analyzing acoustic patterns in patients with dementia [12]. The authors noted that anxiety was a common symptom in patients with dementia, and that detecting anxiety could be difficult due to the communication challenges faced by patients with the disease.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing Interactive Mobile UIs for Detecting Dementia

Husna,

Masuk Shopnil,

Islam

et al. 2023

The 11th International Conference on Communities and Technologies (C&T)

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Dementia, being one of the leading causes of death worldwide, necessitates extensive research to develop specific types of diagnosis and treatments. Because it is a neurological disorder, it affects more than one region of the body and impairs the proper functioning of the entire nervous system. Numerous studies throughout the years have laid the path for the development of better technology to precisely diagnose and treat dementia. Keeping all of these considerations in mind, the research proposes a mobile application comprised of intuitive and interactive user interfaces (UIs) for determining the presence and severity of dementia in a person. To attain this objective, firstly, human factors due to dementia were revealed through literature review. Then, six activities or games were designed and implemented through the design of interactive UIs; and finally, we assigned scores to each activity to assess the revealed symptoms, detect dementia, and measure the severity of dementia.

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Section: Literature Reviewmentioning

confidence: 99%

Designing Interactive Mobile UIs for Detecting Dementia

Husna,

Masuk Shopnil,

Islam

et al. 2023

The 11th International Conference on Communities and Technologies (C&T)

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“…This paper presented plethora of technologies already in place for the early detection of patients with dementia and the patients' care. Hernandez et al [ 24 ] carried out a survey on the caretakers of patients with dementia. It was an anxiety manifestation system to gather vital information on the patient.…”

Section: Related Workmentioning

confidence: 99%

A Perspective Roadmap for IoMT-Based Early Detection and Care of the Neural Disorder, Dementia

Juneja¹,

Dhiman²,

Kautish³

et al. 2021

Journal of Healthcare Engineering

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The Internet of Medical Things (IoMT) has emerged as one of the most important key applications of IoT. IoMT makes the diagnosis and care more convenient and reliable with proven results. The paper presents the technology, open issues, and challenges of IoMT-based systems. It explores the various types of sensors and smart equipment based on IoMT and used for diagnosis and patient care. A comprehensive survey of early detection and postdetection care of the neural disorder dementia is conducted. The paper also presents a postdiagnosis dementia care model named “Demencare.” This model incorporates eight sensors capable of tracking the daily routine of dementia patient. The patients can be monitored locally by an edge computing device kept at their premises. The medical experts may also monitor the patients’ status for any deviation from normal behavior. IoMT enables better postdiagnosis care for neural disorders, like dementia and Alzheimer’s. The patient’s behavior and vital parameters are always available despite the remote location of the patients. The data of the patients may be classified, and new insights may be obtained to tackle patients in a better manner.

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“…A validação e calibração do sistema de reconhecimento automático de emoções é feita através da comparação entre os, anteriormente citados, questionários de auto-relato e os resultados da detecção automática. Uma vez validado, o sistema pode ser usado para determinar as emoções automaticamente em pacientes impossibilitados de responder a questionários, como em casos de pessoas com autismo (Kushki et al, 2015), demência (Hernandez et al, 2019) ou que estejam debilitados, com dor ou com ansiedade aguda (Fukuda et al, 2014). Outra aplicabilidade do questionário é seu uso na triagem dos participantes, com o objetivo de prevenir que condições físicas ou mentais causem alterações nos resultados.…”

Section: Trabalhos Relacionadosunclassified

Dispositivos Open-Source em Redes de Sensores Sem Fio para Análise do Comportamento Coletivo na Aprendizagem Remota

Santos

Paterno

Hounsell

et al. 2021

Procedings Do XV Simpósio Brasileiro De Automação Inteligente

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Research on groups of subjects has contributed to understanding the influence of collective behavior on learning. The detection of physiological parameters by biosensors can contribute to the evaluation of such behaviors, and self-report feedback is a possible tool to validate the detected parameters. However, situations of social distance such as those imposed by COVID-19 limit the evaluation of these groups. Seeking to reduce the impact of the pandemic on data collection, this paper proposes the construction and use of a network of devices that allow the analysis of individual subjects' behavior through multiple simultaneous collections in a group activity, but performed remotely. Four prototype wearable devices were built, for the collection of voluntary data (button for specific events) and involuntary data (continuous signals from biosensors), and connected to a Wireless Sensor Network (WSN). The devices were sent to geographically distant volunteers, who wore them during the same online meeting while presenting seminars. The sampling data were collected, transmitted and compiled in a dashboard, and initial findings indicate that the network is capable of providing signals with sufficient integrity for psycho-pedagogical support in research on collective learning behavior, with expert support, which is suggested as future work. The device presented, due to its open development characteristics, allows modifications for other applications beyond those presented in this text. The entire project is available for public access, so that anyone can assemble, adapt, and use it freely.Resumo: Pesquisas em grupos de sujeitos têm contribuído para compreensão da influência do comportamento coletivo na aprendizagem. A detecção de parâmetros fisiológicos por biossensores pode contribuir para a avaliação de tais comportamentos, sendo o feedback por auto-relato uma possível ferramenta para validar os parâmetros detectados. No entanto, situações de distanciamento social como as impostas pela COVID-19 limitam a avaliação desses grupos. Buscando reduzir o impacto da pandemia sobre a coleta de dados, propõe-se neste artigo a construção e uso de uma rede de dispositivos que permitam a análise do comportamento individual dos sujeitos por meio de múltiplas coletas simultâneas em uma atividade em grupo, porém realizada remotamente. Foram construídos quatro protótipos de dispositivos vestíveis, para a coleta de dados voluntários (botão para eventos específicos) e de dados involuntários (sinais contínuos de biossensores), e conectados a uma Rede de Sensores Sem Fio (RSSF). Os dispositivos foram enviados para sujeitos geograficamente distantes, que os vestiram durante uma mesma reunião online enquanto apresentavam seminários. Os dados dos sujeitos foram coletados, transmitidos e compilados em um dashboard, e conclusões iniciais indicam que o sistema é capaz de prover informações suficientemente íntegras para o apoio psicopedagógico em pesquisas sobre o comportamento coletivo na aprendizagem, mediante apoio especializado, sendo sugerid...

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Prototypical System to Detect Anxiety Manifestations by Acoustic Patterns in Patients with Dementia

Cited by 4 publications

References 22 publications

Designing Interactive Mobile UIs for Detecting Dementia

Designing Interactive Mobile UIs for Detecting Dementia

A Perspective Roadmap for IoMT-Based Early Detection and Care of the Neural Disorder, Dementia

Dispositivos Open-Source em Redes de Sensores Sem Fio para Análise do Comportamento Coletivo na Aprendizagem Remota

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