Remote Health Monitoring System for the Elderly

Bachelor Thesis (2026)
Author(s)

Y. Aarkoub (TU Delft - Electrical Engineering, Mathematics and Computer Science)

M.A. Almifalani (TU Delft - Electrical Engineering, Mathematics and Computer Science)

F.W.L. Schiepers (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

P.J. French – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

K. Rassels – Mentor (TU Delft - Mechanical Engineering)

K.M. Dowling – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)

R.A.C.M.M. van Swaaij – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
expand_more
Publication Year
2026
Language
English
Graduation Date
26-06-2026
Awarding Institution
Delft University of Technology
Project
EE3L11 Bachelor graduation project Electrical Engineering
Programme
Electrical Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
Downloads counter
34
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Population ageing is increasing the need for home-based care while the available care workforce remains limited, creating a need for unobtrusive systems that support routine observation without adding tasks for elderly residents. This thesis presents the design, implementation, and validation of a concept demonstrator for a remote health monitoring system built around a smart mirror and modular sensor printed circuit board. The system measures presence, heart rate, respiratory rate, environmental conditions, and ambient light using radar and supporting sensors. A resident-facing mirror display presents the most relevant information with large visual elements, limited text, and a traffic-light interpretation scheme, while requiring no active user input. Sensor readings are published over an encrypted, certificate-based local communication link to a broker hosted on the tablet behind the mirror. A gateway subscribes to these readings, buffers them during outages, converts vital-sign data into standard healthcare observation resources, and forwards them to a reference healthcare server. Validation showed that the access-control design confined devices to their own data paths and rejected unauthenticated connections, while the custom circuit board and sensor interfaces were brought up successfully. The vital-sign radar followed expected physiological trends, although heart-rate readings showed a systematic overestimation and breathing-rate readings were closer to the reference. The project demonstrates a secure path from ambient home sensing to a healthcare information interface, but further work is needed on clinical-grade validation, production endpoint authentication, deployment hardening, and resident identification.

Files

License info not available