Mobile/wearable health sensing system has attracted more attention in recent years due to the emergence of the telehealth industry. Especially in the last two years, the world has witnessed the most chaotic time caused by the COVID-19 virus. Medical staff is exhausted with the workloads that they have not been in before. Working in extreme conditions while facing the shortage of Personal Protective Equipment has put them over their limit. As a result, the majority number of patients are set to be self-treatment at home, where they cannot receive proper care and treatments when things get worst. Consequently, there is a massive jump in the fatality rate. In this case, the role of a personalized health monitoring and telehealth system with a clinical grade evaluation is essential to maintain an appropriate number of patients admitted to the hospitals while still provides adequate treatment for those staying at home. Nonetheless, current telehealth solutions primarily concentrate on delivering recommendations, reminders, and interacting with patients. What’s missing is an emphasis on mobile clinical-grade health sensing devices, which are essential for remote monitoring but get little attention. To achieve these goals, it is necessary to combine state-of-the-art Artificial Intelligence (AI) with appropriate mechatronic design to create a novel health-sensing modality that will allow for both augmentation and downsizing. I present a corpus of work that explores three applications based on the foundations of AI-augmented mechatronic design: (1) optical sensing for oxygen saturation measurement, (2) optical sensing with an actuator for in-ear blood pressure monitoring, and (3) capacitive sensing-based moisture vapor for measuring lung function indicators. It is anticipated that the effort will result in the establishment of a preliminary AI-augmented mechatronic framework for improving sensor design. This technique is not limited to healthcare platforms; rather, it may be adapted to work with various applications.</p
