AI enabled RPM for Mental Health Facility

01/20/2023
by   Thanveer Shaik, et al.
0

Mental healthcare is one of the prominent parts of the healthcare industry with alarming concerns related to patients depression, stress leading to self-harm and threat to fellow patients and medical staff. To provide a therapeutic environment for both patients and staff, aggressive or agitated patients need to be monitored remotely and track their vital signs and physical activities continuously. Remote patient monitoring (RPM) using non-invasive technology could enable contactless monitoring of acutely ill patients in a mental health facility. Enabling the RPM system with AI unlocks a predictive environment in which future vital signs of the patients can be forecasted. This paper discusses an AI-enabled RPM system framework with a non-invasive digital technology RFID using its in-built NCS mechanism to retrieve vital signs and physical actions of patients. Based on the retrieved time series data, future vital signs of patients for the upcoming 3 hours and classify their physical actions into 10 labelled physical activities. This framework assists to avoid any unforeseen clinical disasters and take precautionary measures with medical intervention at right time. A case study of a middle-aged PTSD patient treated with the AI-enabled RPM system is demonstrated in this study.

READ FULL TEXT
research
01/19/2023

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

The adoption of artificial intelligence (AI) in healthcare is growing ra...
research
08/08/2023

Assistive Chatbots for healthcare: a succinct review

Artificial Intelligence (AI) for supporting healthcare services has neve...
research
08/14/2019

Towards automated symptoms assessment in mental health

Activity and motion analysis has the potential to be used as a diagnosti...
research
05/05/2022

Internet of Things and Health Care in Pandemic COVID-19: System Requirements Evaluation

Technology adoption in healthcare services has resulted in advancing car...
research
06/06/2020

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement

Telehealth and remote health monitoring have become increasingly importa...
research
08/17/2021

Developing Medical AI : a cloud-native audio-visual data collection study

Designing Artificial Intelligence (AI) solutions that can operate in rea...
research
10/06/2018

Artificial Intelligence for Diabetes Case Management: The Intersection of Physical and Mental Health

Diabetes is a major public health problem in the United States, affectin...

Please sign up or login with your details

Forgot password? Click here to reset