**MEDICTECH - Creating Innovative Healthcare Apps for Dementia Patients and Caregivers.**
IT20151942 - Samarathunga S.R.L
IT20142414 - Weerasinghe H.P.E.N
IT20151492 - Warnakulasuriyage K.H.A
IT20121242 - Serasingha K.A.E.Y.D
**Main Objective:**
To develop a user-friendly healthcare system for dementia patients that tracks their daily activities, meals, critical situations, and mental health, and generates reports for doctors to understand their health status and suggests video clips based on ML and Image processing to improve the mood of dementia patients.
**Sub Objectives:**
To develop a system that suggests video clips based on ML and Image processing to improve the mood of dementia patients according to their current emotional state, using image processing to detect their facial expressions.
To use machine learning to provide personalized meal and exercise plans based on data collected from IoT devices.
To develop a warning system using machine learning that alerts both the patient and the team of caregivers, using data from IoT devices.And using another matching learning part and check patient have or not dementia.
To automatically generate a monthly patient health status report based on data collected from IoT devices, send the report to caregivers, and predict Future health status.
**The most 4 concerned problems**
1. Cognitive Limitations: Dementia patients often struggle with memory, decision-making, and understanding their health conditions, making it difficult for them to manage their well-being independently.
2. Lack of Assistance: Many dementia patients lack a consistent support system or caregiver to help them with daily activities and monitor their health.
3. Delayed Medical Attention: Due to their cognitive impairments, dementia patients may not recognize or communicate health concerns promptly, leading to delayed medical intervention until situations become critical.
4. Quality of Life: Dementia patients often experience a decreased quality of life, as they may miss out on essential healthcare services and interventions that could improve their overall well-being.
***IT20151942 - Samarathunga S.R.L***
**Research Problem**
There is a need for a more efficient and accessible method to treat mood changes in dementia patients due to the challenges of diagnosing and managing these changes, coupled with the limitations of traditional treatments.
**Specific Objective**
The main objective of this research is to develop a system that suggests video clips based on ML and image processing to fix the mood that suits the dementia Patients’ current situation. The system will use image processing to detect the dementia patient's facial expressions and identify their current emotional state.
**Sub Objectives**
To identify the Dementia patient's current situation using image processing.
To suggest appropriate video clips that can improve the patient's mood.
***IT20142414 - Weerasinghe H.P.E.N***
**Research Problem**
How can we develop personalized nutrition and exercise plans for seniors that consider their individual health profiles and medical conditions, ensuring adequate nutrient intake and exercise for a healthy lifestyle?
**Specific Objective**
Provide personalized health tips, diet plans, and exercises to users based on their current health status as measured by their blood oxygen level, body temperature, and heart rate. This objective aims to improve the overall health and quality of life of users by promoting healthy habits tailored to their individual needs
**Sub Objectives**
Develop personalized diet plans that meet nutritional requirements and encourage healthy eating habits for each user.
Create personalized exercise plans tailored to individual health status and physical needs, promoting healthy physical activity habits.
***IT20151492 - Warnakulasuriyage K.H.A***
**Research Problem**
The research problem revolves around the scarcity of reliable data on emergency situations in dementia patients, exacerbated by their limited ability to communicate symptoms and their varying presentation of emergencies. This complicates the development of effective, individualized algorithms for early detection and response.
**Specific Objective**
Using Diabetics, Alcohol, Weight, MRI delay, Body Temperature, Oxygen level, and Heart rate To develop ML model and check whether patients have dementia or not and give an answer and develop an ML-based system for Emergency situations in dementia patients based on their Body Temperature, Oxygen level, and Heart rate.
**Sub Objectives**
Analyze the data and identify health conditions through recognition.
Comparing the analyzed data with dataset of dementia have situation and emergency.
Develop an algorithm to provide action to mitigate the emergency.
In case of emergency, a notification to nearest Hospital or after treatment to the hospital and if the condition does not improve, the notification system to come to visit the patient.
***IT20121242 - Serasingha K.A.E.Y.D***
**Research Problem**
What potential developments can we anticipate in machine learning algorithms for the early prediction of cognitive decline and emergency situations in dementia patients?
**Specific Objective**
Using machine learning, we generate monthly health reports for patients by processing data from IoT devices, automatically transmitting the reports to designated doctors, and providing future health Situation predictions based on collected data.
**Sub Objectives**
Identify and select appropriate IoT devices for data collection such as wearable health trackers, smart scales, blood pressure monitors, etc.
providing future health predictions based on collected data.
Collect and store patient data from IoT devices in a secure database or cloud storage.
Develop a reporting system that generates monthly reports based on the insights extracted from the data.
