A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things Applications
Monitoring the vital signs and physiological responses of the human body in daily activities is particularly useful for the early diagnosis and prevention of cardiovascular diseases. Here, we proposed a wireless and flexible biosensor patch for continuous and longitudinal monitoring of different phy...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Biosensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-6374/12/3/139 |
| _version_ | 1797446969086443520 |
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| author | Duc Tri Phan Cong Hoan Nguyen Thuy Dung Pham Nguyen Le Hai Tran Sumin Park Jaeyeop Choi Byeong-il Lee Junghwan Oh |
| author_facet | Duc Tri Phan Cong Hoan Nguyen Thuy Dung Pham Nguyen Le Hai Tran Sumin Park Jaeyeop Choi Byeong-il Lee Junghwan Oh |
| author_sort | Duc Tri Phan |
| collection | DOAJ |
| description | Monitoring the vital signs and physiological responses of the human body in daily activities is particularly useful for the early diagnosis and prevention of cardiovascular diseases. Here, we proposed a wireless and flexible biosensor patch for continuous and longitudinal monitoring of different physiological signals, including body temperature, blood pressure (BP), and electrocardiography. Moreover, these modalities for tracking body movement and GPS locations for emergency rescue have been included in biosensor devices. We optimized the flexible patch design with high mechanical stretchability and compatibility that can provide reliable and long-term attachment to the curved skin surface. Regarding smart healthcare applications, this research presents an Internet of Things-connected healthcare platform consisting of a smartphone application, website service, database server, and mobile gateway. The IoT platform has the potential to reduce the demand for medical resources and enhance the quality of healthcare services. To further address the advances in non-invasive continuous BP monitoring, an optimized deep learning architecture with one-channel electrocardiogram signals is introduced. The performance of the BP estimation model was verified using an independent dataset; this experimental result satisfied the Association for the Advancement of Medical Instrumentation, and the British Hypertension Society standards for BP monitoring devices. The experimental results demonstrated the practical application of the wireless and flexible biosensor patch for continuous physiological signal monitoring with Internet of Medical Things-connected healthcare applications. |
| first_indexed | 2024-03-09T13:49:08Z |
| format | Article |
| id | doaj.art-7214857f63f74b96ba1918d1f406c62f |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-03-09T13:49:08Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-7214857f63f74b96ba1918d1f406c62f2023-11-30T20:53:52ZengMDPI AGBiosensors2079-63742022-02-0112313910.3390/bios12030139A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things ApplicationsDuc Tri Phan0Cong Hoan Nguyen1Thuy Dung Pham Nguyen2Le Hai Tran3Sumin Park4Jaeyeop Choi5Byeong-il Lee6Junghwan Oh7Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, KoreaIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, KoreaIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, KoreaIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, KoreaIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, KoreaIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, KoreaDepartment of Smart Healthcare, Pukyong National University, Busan 48513, KoreaIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, KoreaMonitoring the vital signs and physiological responses of the human body in daily activities is particularly useful for the early diagnosis and prevention of cardiovascular diseases. Here, we proposed a wireless and flexible biosensor patch for continuous and longitudinal monitoring of different physiological signals, including body temperature, blood pressure (BP), and electrocardiography. Moreover, these modalities for tracking body movement and GPS locations for emergency rescue have been included in biosensor devices. We optimized the flexible patch design with high mechanical stretchability and compatibility that can provide reliable and long-term attachment to the curved skin surface. Regarding smart healthcare applications, this research presents an Internet of Things-connected healthcare platform consisting of a smartphone application, website service, database server, and mobile gateway. The IoT platform has the potential to reduce the demand for medical resources and enhance the quality of healthcare services. To further address the advances in non-invasive continuous BP monitoring, an optimized deep learning architecture with one-channel electrocardiogram signals is introduced. The performance of the BP estimation model was verified using an independent dataset; this experimental result satisfied the Association for the Advancement of Medical Instrumentation, and the British Hypertension Society standards for BP monitoring devices. The experimental results demonstrated the practical application of the wireless and flexible biosensor patch for continuous physiological signal monitoring with Internet of Medical Things-connected healthcare applications.https://www.mdpi.com/2079-6374/12/3/139biosensorsphysiological signalsInternet of Medical Things (IoMT)artificial neural network (ANN) |
| spellingShingle | Duc Tri Phan Cong Hoan Nguyen Thuy Dung Pham Nguyen Le Hai Tran Sumin Park Jaeyeop Choi Byeong-il Lee Junghwan Oh A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things Applications Biosensors biosensors physiological signals Internet of Medical Things (IoMT) artificial neural network (ANN) |
| title | A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things Applications |
| title_full | A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things Applications |
| title_fullStr | A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things Applications |
| title_full_unstemmed | A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things Applications |
| title_short | A Flexible, Wearable, and Wireless Biosensor Patch with Internet of Medical Things Applications |
| title_sort | flexible wearable and wireless biosensor patch with internet of medical things applications |
| topic | biosensors physiological signals Internet of Medical Things (IoMT) artificial neural network (ANN) |
| url | https://www.mdpi.com/2079-6374/12/3/139 |
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