Correction: Morais et al. IoT-Based Wearable and Smart Health Device Solutions for Capnography: Analysis and Perspectives. Electronics 2023, 12, 1169

In the original publication [1], concerns were raised regarding the following references and they were removed from the reference list:

[57]. Kashyap, V.; Kumar, A.; Kumar, A.; Hu, Y.-C. A Systematic Survey on Fog and IoT Driven Healthcare: Open Challenges and Research Issues. Electronics 2022, 11, 2668.

[160]. Singla, S. AI and IoT in Healthcare. In Internet of Things Use Cases for the Healthcare Industry; Raj, P., Chatterjee, J., Kumar, A., Balamurugan, B., Eds.; Springer: Cham, Switzerland, 2020.

[165]. Anan, S.R.; Hossain, M.; Milky, M.; Khan, M.M.; Masud, M.; Aljahdali, S. Research and development of an iot-based remote asthma patient monitoring system. J. Healthc. Eng. 2021, 2021, 2192913.

Due to the removal of these references, subsequent references and the corresponding citations in the main text have been adjusted to align with the numerical order.

Additionally, Table 1 from Section 1 Introduction should have the third column entirely removed since it references the removed reference [57].

In Section 4, paragraphs 2 and 3 “Singla [160] stated in a recent study that digital medical devices could represent a revolution in healthcare services as they integrate innovative and robust technologies. This means excellent performance and deployment potential through functions and mechanisms to collect, process, clean, analyze and extract data and capture insights [161]. From this perspective, the academy has contributed to addressing remote patient monitoring (RPM) methodology in various studies on “digital health systems and applications.” In addition, it has explained the functions these devices can provide to healthcare providers and physicians, such as effectively and remotely sending and receiving patient health status data for analysis, consultation, and correct prescription [160,161].” were merged and changed to “Digital medical devices could represent a revolution in healthcare services as they integrate innovative and robust technologies, which translates to excellent performance and deployment potential through functions and mechanisms to collect, process, clean, analyze, and extract data and capture insights. Within this context, the academic literature has advanced methodologies for remote patient monitoring (RPM) in digital health systems and applications, detailing how these devices allow clinicians to securely and effectively transmit and receive patients’ health status data for analysis, consultation, and appropriate prescription, all performed remotely [159].”

Table 2 from Section 4 Innovative Solutions Applied to Health Care should have the forth line entirely removed since it references the removed reference [165].

The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.