Predictive Maintenance Model for Industrial Equipment

Zanke, Tushar; Suryawanshi, Ranjeetsingh; Wath, Samrudhi; Mulgir, Snehashish; Jagtap, Stuti

doi:10.1007/978-981-97-0975-5_20

Lecture Notes in Networks and Systems

2024

DOI: 10.1007/978-981-97-0975-5_20

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Predictive Maintenance Model for Industrial Equipment

Tushar Zanke,

Ranjeetsingh Suryawanshi,

Samrudhi Wath

et al.

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Integrating IoMT and AI for Proactive Healthcare: Predictive Models and Emotion Detection in Neurodegenerative Diseases

Sandulescu,

Ianculescu,

Valeanu

et al. 2024

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Neurodegenerative diseases, such as Parkinson’s and Alzheimer’s, present considerable challenges in their early detection, monitoring, and management. The paper presents NeuroPredict, a healthcare platform that integrates a series of Internet of Medical Things (IoMT) devices and artificial intelligence (AI) algorithms to address these challenges and proactively improve the lives of patients with or at risk of neurodegenerative diseases. Sensor data and data obtained through standardized and non-standardized forms are used to construct detailed models of monitored patients’ lifestyles and mental and physical health status. The platform offers personalized healthcare management by integrating AI-driven predictive models that detect early symptoms and track disease progression. The paper focuses on the NeuroPredict platform and the integrated emotion detection algorithm based on voice features. The rationale for integrating emotion detection is based on two fundamental observations: a) there is a strong correlation between physical and mental health, and b) frequent negative mental states affect quality of life and signal potential future health declines, necessitating timely interventions. Voice was selected as the primary signal for mood detection due to its ease of acquisition without requiring complex or dedicated hardware. Additionally, voice features have proven valuable in further mental health assessments, including the diagnosis of Alzheimer’s and Parkinson’s diseases.

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Integrating IoMT and AI for Proactive Healthcare: Predictive Models and Emotion Detection in Neurodegenerative Diseases

Sandulescu,

Ianculescu,

Valeanu

et al. 2024

Algorithms

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show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Predictive Maintenance Model for Industrial Equipment

Cited by 1 publication

References 13 publications

Integrating IoMT and AI for Proactive Healthcare: Predictive Models and Emotion Detection in Neurodegenerative Diseases

Integrating IoMT and AI for Proactive Healthcare: Predictive Models and Emotion Detection in Neurodegenerative Diseases

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