1. Position Paper: Low-Cost Solutions for Home-Based Healthcare
- Author
-
Srihari Yamanoor and Narasimha Sai Yamanoor
- Subjects
Computer science ,business.industry ,media_common.quotation_subject ,Dashboard (business) ,Wearable computer ,020206 networking & telecommunications ,Cloud computing ,02 engineering and technology ,Data science ,Adaptability ,Health care ,0202 electrical engineering, electronic engineering, information engineering ,Position paper ,020201 artificial intelligence & image processing ,Enhanced Data Rates for GSM Evolution ,business ,Raw data ,media_common - Abstract
This paper describes approaches to the use of wearables and related monitoring and diagnostic tools to glean and present data to patients and their caregivers in the form of Personal Health Dashboard. Raw data from devices such as fitness watches, blood glucose and blood pressure monitors can be analyzed by machine learning algorithms ensembles over the cloud or at the edge, and the resulting patterns can be presented to allow for actionable responses. The advent of low-cost computational, sensing, monitoring and diagnostic tools allow for cost-effective solutions that can have wide adaptability. The paper draws from prior and ongoing research conducted by the team to present these positions in the advancement of healthcare.
- Published
- 2021