Senior Design Projects
ECS193 A/B Winter & Spring 2022
Smart Home Platform for Aging Well (SHAW): Cardiac Rehab AI Health Assistant
| ********** | |
| Yong Choi | |
| UC Davis Public Health Sciences / Health Informatics |
Project's details
| Smart Home Platform for Aging Well (SHAW): Cardiac Rehab AI Health Assistant | |
| Cardiovascular disease (CVD) is the leading cause of death in the US population, and its prevalence increases with aging. Type 2 diabetes mellitus (T2DM) is a common comorbidity in aging patients with CVD. On top of that, people aging with T2DM are twice as likely to have a heart attack or strokes than people without diabetes. The good news is that with physical activity/exercise, healthy nutrition, and diabetes management can help aging patients with T2DM and/CVD reduce their risk of complications. After patients suffer s CVD event e.g. heart attack, heart surgery, etc., they are usually referred to cardiac rehabilitation (CR), a class one intervention that reduces mortality and re-hospitalizations post event. In CR, patients learn how to manage their risk by improving their physical activity, nutrition and psychosocial stress while maximizing the use of medication to manage their medical conditions like T2DM. Although digital interventions have been found to successfully deliver the core components of CR (nutrition counseling, psychological management, and weight management), there remains a paucity of comprehensive digital CR program interventions that address risk factors such as lipid management and blood pressure while managing blood glucose levels in real-time. We hypothesize that utilizing voice commands will integrate comprehensive CR interventions that can them be delivered safely at home for patients with T2DM. | |
| Description: This research will develop and test the Smart Home for Aging Well – Cardiac Rehab (SHAW-CR), a multi-component intervention for hybrid CR that uses the Internet-of-Things (IoT) smart health sensor technologies with Artificial Intelligence (AI) Personal Voice Assistant health application. SHAW-CR utilizes voice as the primary interaction modality to access, record, and query data. The platform will support patients to use their natural language commands to dynamically explore their health data (e.g. vital sign monitoring (e.g. blood pressure, blood sugar), medication tracking, activity and symptom tracking), access personalized health education materials, and engage in home-based ‘safe’ exercise program. (See attached for more information) | |
| 1) Design and develop a data pipeline integration for a Continuous Glucose Monitor, a Blood Pressure/Heart Rate Monitor, a Weight Scale, and the SHAW-CR Platform. The student team and a Computer Science GSR will work together to build a data integration pipeline for the sensor devices used in the platform (Continuous Glucose Monitor, Blood Pressure Monitor, Wearable Watch, Weight Scale, and Amazon Conversational AI platform. 2) Design and develop the SHAW-CR Voice AI Health Coaching Application. The student team will work with a computer science GSR and the PI to develop Voice AI Health Coaching App. The research team will continue the previous collaboration with the UCD CR multi-disciplinary team of cardiologists, nurses, exercise physiologists, dieticians, and psychologists. In our preliminary work, we have identified standard evidence-based care guidelines used in the UCD CR clinic and converted them into logic diagrams and created mock design prototype of the coaching app. Based on this design prototype work, we will leverage the Amazon Conversational Bot Toolkit to build the system architecture. (See attached for more information) | |
| • interest in working with various end-users and health care providers to design health technology for older adults and their family caregivers to meet their unique needs and challenges • interest or experience in API integration for various connected health devices • interest or experience in the design and development of a conversational AI bot | |
| ********** | |
| 30-60 min weekly or more | |
| Client wishes to keep IP of the project | |
| Attachment | Click here |
| Yes | |
| Team members | N/A |
| Albara | |
| N/A |