Contactless Human Sensing for Personalized Healthcare: A

Review of Wireless Signal Applications in Biomedical Science

Besnik Qehaja1,* Abdullahi Abdu Ibrahim 2

1 Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria

2 Department of Electrical and Computer Engineering, Altinbas University, Istanbul 34218, Turkey

Emails: ubt-uni.net . altinbas.edu.tr

Received: January 08, 2026 Revised: February 11, 2026 Accepted: April 05, 2026 ⋆ Corresponding author

ABSTRACT

Wireless signal applications in biomedical science have tremendously developed to improve people’s health care

systems and contactless human sensing technologies. This review aims to focus on the current development of

wireless microsystems, stressing the application of the wireless microsystem for precise physiological measurement

without physical contact. Bio-signals transmitted through wireless telemetry systems help healthcare practitioners

cover large numbers of patients continuously without repeated invasive interventions, improving the quality of care.

RF systems and data acquisition techniques are critical for constructing wireless biomedical devices with low power

consumption, especially in implantable applications. Moreover, depending on the advancements in microtechnology,

sensors and actuators are compact and can be combined with communication electronics to produce complex healthchecking

systems. The review also presents issues like signal distortion and data processing procedure requirements

to obtain correct measurements in complicated surroundings. As technology advances in wireless communication

systems, their usage in the health sectors advances, and the upcoming innovations should make healthcare better

for the patients and efficient for the clinicians. In this vein, this paper posits wireless technologies as crucial to the

advancement and contours of the future of personalized healthcare through monitoring and engagement.

Keywords: Wireless sensing Contactless monitoring Personalized healthcare IoT AI integration

1. INTRODUCTION

The advances in wireless technologies have affected the approaches

to patient management, moving from the idea of

overall healthcare paradigms. These systems threaten to disestablish

conventional physical healthcare systems due to

the capacities of remote sensing through contactless methods.

Implementing wireless solutions into biomedical systems

is highly effective in expanding the range of care and

significantly improving the productivity of healthcare institutions

[1].

Our research underscores the invaluable role of contactless

sensing technologies in personalized care. These technologies

enable the collection of physiological and biomedical

data from patients without physical contact, thereby reducing

patient discomfort and eliminating the risks associated with

invasive procedures. This evolution aligns with the growing

need for patient-centric healthcare solutions [2].

The elaboration of wireless microsystems creates new

prospects for accurate physiological monitoring. These systems

use miniaturized sensors and actuators interconnected

with sophisticated wireless communication modules; the captured

health metrics are accurate and real-time. Of all these,

they are most effective in situations where the condition

needs to be monitored regularly, for instance, long-term conditions

[3].