Jakarta, INTI - A team of students from the Department of Biomedical Engineering at the Institut Teknologi Sepuluh Nopember (ITS) has developed a mirror capable of detecting body health conditions. The mirror, named “Hi-Me! Mirror,” is based on multi-sensor technology and deep learning, enabling it to quickly and efficiently detect eight vital sign parameters.
The team, consisting of 2022 cohort students under the name Masuk Surga, includes Nehemy Davis Suryanto, Andi Lisnaini Ramadhani, and Wean Harmiwan Bontong. Through collaboration with their academic supervisor, Nada Fitrieyatul Hikmah, ST, MT, the team successfully developed a practical and effective health screening device. “This device is the result of brainstorming between our team and our academic supervisor,” Andi said.
He revealed that the idea behind the creation of the device originated from the academic supervisor’s initiative to further develop the results of final-year research conducted by Biomedical Engineering students. The supervisor encouraged students to create innovations that could address efficiency challenges in healthcare services. “Hi-Me! is designed to help reduce patient waiting times, which often exceed the 60-minute limit stipulated by the Ministry of Health,” Andi explained.
Hi-Me! utilizes five main sensors to measure a user’s height, weight, body temperature, respiratory rate, and heart rate. In addition, three deep learning models are used to estimate systolic and diastolic blood pressure as well as blood glucose levels in a non-invasive manner. “This device is capable of measuring eight vital sign parameters within just three minutes,” Andi added.
Improving Efficiency Through Integrated Sensors and Web-Based EMR
In addition to enabling rapid health screening, Hi-Me! Also provides a web-based electronic medical record (EMR) system. Through this system, users can access their examination history online without the need for direct collaboration with hospitals. “Although it has not yet been integrated with hospital systems, we launched a web-based EMR so that examination data can be stored and accessed easily,” Andi explained.
From an efficiency standpoint, Andi noted that Hi-Me! not only shortens examination time but also integrates sensors to measure eight vital sign parameters into a single device. This is considered helpful for medical personnel in obtaining initial patient condition data in a more practical and accurate manner. “With a single device, eight body parameters can be detected automatically, making it more practical and accurate as it has undergone calibration testing,” Andi emphasized.
Hi-Me! represents part of the effort toward transforming healthcare services into a more modern and efficient system. However, the development team believes that several further stages are still required, particularly feasibility testing and device certification, before it can be implemented in healthcare facilities. “Hi-Me! is currently about 50 percent ready, but improvements in deep learning model accuracy, sensor calibration, and further research are needed before it can be used commercially,” Wean added.
Toward Inclusive and Sustainable Digital Healthcare
Looking ahead, the team plans to further develop Hi-Me! To make it more flexible so it can be used by people of all age groups. With the slogan Your Health, Reflected in Seconds, Hi-Me! represents the realization of efficient, integrated, and inclusive healthcare services for the community. “We hope that Hi-Me! can become a tangible solution to improve the quality of healthcare services while accelerating digital transformation in the health sector,” Andi concluded.
The innovation developed by the ITS student team also serves as an implementation of the Sustainable Development Goals (SDGs), particularly Goal 3 on Good Health and Well-Being and Goal 9 on Industry, Innovation, and Infrastructure. Hi-Me! stands as a concrete step by ITS students in supporting improved quality of life and public welfare through smart, fast, and sustainable health technology.
Conclusion
Hi-Me! highlights how student-led innovation can contribute to more efficient and inclusive healthcare services. By combining smart sensing, deep learning, and digital records in a single device, the technology has the potential to support faster screening processes and accelerate digital transformation in the healthcare sector.
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