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Implementation of a Multimedia Computing Healthcare Service Using a Voice Signal-Analysis Module and IR-UWB

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Abstract

As the population ages and the number of people with chronic diseases increases, society is changing from the existing diagnostic- and treatment-oriented medical services to preventive- and management-oriented medical services. This paradigm is named Ubiquitous Smart Healthcare. Various multimedia-based healthcare services are becoming especially key to health management in the smart age. In other words, technology, research, and integration of multimedia healthcare services, such as video data, voice data, IoT networks, and the like, are proceeding. Due to well-being trends and lifestyles of the aging society, medical services are rapidly becoming ubiquitous, in which the individual and the medical professional cooperate closely in hospital-centered treatment services to provide health management and promotion, and prevention of diseases. To realize this, various bio-signal measurement techniques based on multimedia are being studied and applied. Therefore, in this paper, we propose a remote voice signal-measurement system that combines two Impulse Radio Ultra Wide Band (IR-UWB) systems to provide a capable IR real-time location service, and we design and implement them. Also, we can reduce the complexity of existing voice signal–measurement algorithms, and we optimize the system by proposing a filter suitable for voice signal–measurement algorithms. As a result, we confirm that the voice signal can be measured by extending the measurement distance (based on wireless communications) by only about 3 m to 10 m. By applying the measurement and analysis method for voice-signal data in the wireless communication system environment, a healthcare service with improved reliability can be applied. In particular, it is possible to provide a multimedia healthcare computing environment in which new diagnostic data can be found and utilized in the field of multimedia-based healthcare service technology.

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Authors and Affiliations

  1. Department of Computer Engineering, Seowon University, 377-3, Musimseoro, Seowon-gu, Cheongju-si, Chungcheongbuk-do, 28674, South Korea

    Bong-Hyun Kim

  2. Department of Business Administration, Pusan National University, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan, 46241, South Korea

    Dong-Il Kim

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  1. Bong-Hyun Kim
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Kim, BH., Kim, DI. Implementation of a Multimedia Computing Healthcare Service Using a Voice Signal-Analysis Module and IR-UWB. Wireless Pers Commun 119, 3223–3240 (2021). https://doi.org/10.1007/s11277-021-08395-2

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  • DOI: https://doi.org/10.1007/s11277-021-08395-2

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