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15.11.2023 | Research

A Remote Health Detection System with Sensor Signal Purification

verfasst von: Jing Zhang, Thippa Reddy Gadekallu

Erschienen in: Mobile Networks and Applications

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Abstract

In order to relieve the pressure of medical resources and meet the demand of human health real-time detection, a remote health detection algorithm based on sensor signal purification was designed. In the wearable health device, health parameter sensors such as integrated temperature sensors were set up, and the results of human health sensing signals were collected by wireless communication technology and transmitted to a remote data processing center. The data processing center used the wavelet threshold method to denoise the human health sensing signal, and selected the joint time–frequency decomposition method to purify the human health sensing signal. The purified result of the sensor signal was set as the input sample of the hidden Markov model. The Baum-Welch local optimization algorithm was used to update the parameters of the hidden Markov model until the posterior probability of the model approached the maximum value, and the human health detection results were output. The experimental results show that the acquisition error of human physiological parameters is less than 0.5% when the sensor signal is purified by this algorithm, and the abnormal health state of testers such as falling, high body temperature and high blood pressure is accurately detected.

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Literatur
1.
Zurück zum Zitat Ramgopal S, Westling T, Siripong N, Salcido DD, Martin-Gill C (2021) Use of a metalearner to predict emergency medical services demand in an urban setting. Comput Methods Programs Biomed 207(1):106201–106211CrossRef Ramgopal S, Westling T, Siripong N, Salcido DD, Martin-Gill C (2021) Use of a metalearner to predict emergency medical services demand in an urban setting. Comput Methods Programs Biomed 207(1):106201–106211CrossRef
2.
Zurück zum Zitat Zhao Y, Lin Z, Dong S, Chen M (2023) Review of wearable optical fiber sensors: Drawing a blueprint for human health monitoring. Opt Laser Technol 161(1):1–5 Zhao Y, Lin Z, Dong S, Chen M (2023) Review of wearable optical fiber sensors: Drawing a blueprint for human health monitoring. Opt Laser Technol 161(1):1–5
3.
Zurück zum Zitat Chorna V, Makhniuk VM, Khliestova SS, Gumeniuk NI (2021) Monitoring and assessment of human health and medical care in Ukraine. Int J Sci Res Manag 9(1):305–319 Chorna V, Makhniuk VM, Khliestova SS, Gumeniuk NI (2021) Monitoring and assessment of human health and medical care in Ukraine. Int J Sci Res Manag 9(1):305–319
4.
Zurück zum Zitat Ye ZR (2021) Design and Implementation of human health intelligent monitoring system with multi-sensor. Softw Eng Appl 10(2):60–69 Ye ZR (2021) Design and Implementation of human health intelligent monitoring system with multi-sensor. Softw Eng Appl 10(2):60–69
5.
Zurück zum Zitat Anikwe CV, Nweke HF, Ikegwu AC, Egwuonwu CA, Onu FU, Alo UR, Ying WT (2022) Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect. Expert Syst Appl 202(Sept.):117362.1-117362.32 Anikwe CV, Nweke HF, Ikegwu AC, Egwuonwu CA, Onu FU, Alo UR, Ying WT (2022) Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect. Expert Syst Appl 202(Sept.):117362.1-117362.32
6.
Zurück zum Zitat Elagan SK, Abdelwahab SF, Zanaty EA, Alkinani MH, Zanaty MEA (2021) Remote diagnostic and detection of coronavirus disease (COVID-19) system based on intelligent healthcare and internet of things. Results Phys 22(4):103910–103920CrossRef Elagan SK, Abdelwahab SF, Zanaty EA, Alkinani MH, Zanaty MEA (2021) Remote diagnostic and detection of coronavirus disease (COVID-19) system based on intelligent healthcare and internet of things. Results Phys 22(4):103910–103920CrossRef
7.
Zurück zum Zitat Harimoorthy K, Thangavelu M (2021) Cloud-assisted Parkinson disease identification system for remote patient monitoring and diagnosis in the smart healthcare applications. Concurr Comput: Pract Experience 33(21):e6419.1-e6419.14CrossRef Harimoorthy K, Thangavelu M (2021) Cloud-assisted Parkinson disease identification system for remote patient monitoring and diagnosis in the smart healthcare applications. Concurr Comput: Pract Experience 33(21):e6419.1-e6419.14CrossRef
8.
Zurück zum Zitat Kim J, Kassels AC, Costin NI, Schmidt H (2020) Remote monitoring of medication adherence and patient and industry responsibilities in a learning health system. J Med Ethics 46(1):386–391CrossRef Kim J, Kassels AC, Costin NI, Schmidt H (2020) Remote monitoring of medication adherence and patient and industry responsibilities in a learning health system. J Med Ethics 46(1):386–391CrossRef
9.
Zurück zum Zitat Babu GC, Shantharajah SP (2021) Remote health patient monitoring system for early detection of heart disease. Int J Grid High Perform Comput 13(2):118–130CrossRef Babu GC, Shantharajah SP (2021) Remote health patient monitoring system for early detection of heart disease. Int J Grid High Perform Comput 13(2):118–130CrossRef
10.
Zurück zum Zitat Chen L, Song ZG, Guan XP, Zhao JM (2022) Design of a remote detection system for human health parameters based on the internet of things. Electr Eng 14(1):68–72 Chen L, Song ZG, Guan XP, Zhao JM (2022) Design of a remote detection system for human health parameters based on the internet of things. Electr Eng 14(1):68–72
11.
Zurück zum Zitat Neng MK, Zhou GM, Zhao W, Zhao LL (2020) Design of health monitoring system for the elderly people. Modern Comput 16(1):33–36 Neng MK, Zhou GM, Zhao W, Zhao LL (2020) Design of health monitoring system for the elderly people. Modern Comput 16(1):33–36
12.
Zurück zum Zitat Babu M, Jesudas T (2022) An artificial intelligence-based smart health system for biological cognitive detection based on wireless telecommunication. Comput Intell 38(4):1365–1378CrossRef Babu M, Jesudas T (2022) An artificial intelligence-based smart health system for biological cognitive detection based on wireless telecommunication. Comput Intell 38(4):1365–1378CrossRef
13.
Zurück zum Zitat Vimal S, Robinson YH, Kadry S, Long HV, Nam Y (2021) Iot based smart health monitoring with cnn using edge computing. J Internet Technol 22(1):173–185 Vimal S, Robinson YH, Kadry S, Long HV, Nam Y (2021) Iot based smart health monitoring with cnn using edge computing. J Internet Technol 22(1):173–185
14.
Zurück zum Zitat Mallick R, Yebda T, Benois-Pineau J, Zemmari A, Pech M, Amieva H (2022) Detection of risky situations for frail adults with hybrid neural networks on multimodal health data. IEEE Multimedia 29(1):7–17CrossRef Mallick R, Yebda T, Benois-Pineau J, Zemmari A, Pech M, Amieva H (2022) Detection of risky situations for frail adults with hybrid neural networks on multimodal health data. IEEE Multimedia 29(1):7–17CrossRef
15.
Zurück zum Zitat Lewinski AA, Rushton S, Voorhees EV, Boggan JC, Whited JD, Shoup JP et al (2021) Implementing remote triage in large health systems: a qualitative evidence synthesis. Res Nurs Health 44(1):138–154CrossRef Lewinski AA, Rushton S, Voorhees EV, Boggan JC, Whited JD, Shoup JP et al (2021) Implementing remote triage in large health systems: a qualitative evidence synthesis. Res Nurs Health 44(1):138–154CrossRef
16.
Zurück zum Zitat Guo Z, Liu S (2021) Wireless image transmission interference signal recognition system based on deep learning. Wirel Commun Mob Comput 2021:8024953CrossRef Guo Z, Liu S (2021) Wireless image transmission interference signal recognition system based on deep learning. Wirel Commun Mob Comput 2021:8024953CrossRef
17.
Zurück zum Zitat Gonzalez D, Patricio MA, Berlanga A, Molina JM (2021) Variational autoencoders for anomaly detection in the behaviour of the elderly using electricity consumption data. Expert Syst 39(4):e12744.1-e12744.12 Gonzalez D, Patricio MA, Berlanga A, Molina JM (2021) Variational autoencoders for anomaly detection in the behaviour of the elderly using electricity consumption data. Expert Syst 39(4):e12744.1-e12744.12
18.
Zurück zum Zitat Liu S, Chen X, Li Y, Cheng X (2019) Micro-distortion detection of Lidar scanning signals based on geometric analysis. Symmetry 11:1471CrossRef Liu S, Chen X, Li Y, Cheng X (2019) Micro-distortion detection of Lidar scanning signals based on geometric analysis. Symmetry 11:1471CrossRef
19.
Zurück zum Zitat Garcia E, Villar M, Fanez M, Villar JR, Enrique DLC, Cho SB (2022) Towards effective detection of elderly falls with cnn-lstm neural networks. Neurocomputing 500(Aug.21):231–240CrossRef Garcia E, Villar M, Fanez M, Villar JR, Enrique DLC, Cho SB (2022) Towards effective detection of elderly falls with cnn-lstm neural networks. Neurocomputing 500(Aug.21):231–240CrossRef
21.
Zurück zum Zitat Huo R, Liu Y, Xu H, Li J, Xin R, Xing Z, Deng S, Wang T, Yuan H, Zhao X (2022) Associations between carotid atherosclerotic plaque characteristics determined by magnetic resonance imaging and improvement of cognition in patients undergoing carotid endarterectomy. Quant Imaging Med Surg 12(5):2891–2903. https://doi.org/10.21037/qims-21-981CrossRef Huo R, Liu Y, Xu H, Li J, Xin R, Xing Z, Deng S, Wang T, Yuan H, Zhao X (2022) Associations between carotid atherosclerotic plaque characteristics determined by magnetic resonance imaging and improvement of cognition in patients undergoing carotid endarterectomy. Quant Imaging Med Surg 12(5):2891–2903. https://​doi.​org/​10.​21037/​qims-21-981CrossRef
22.
28.
Zurück zum Zitat Zhao Z, Li Q, Dong Y, Gong J, Li Z, Zhang J (2022) Washable patches with gold nanowires/textiles in wearable sensors for health monitoring. ACS Appl Mater Interfaces 14(16):18884–18900CrossRef Zhao Z, Li Q, Dong Y, Gong J, Li Z, Zhang J (2022) Washable patches with gold nanowires/textiles in wearable sensors for health monitoring. ACS Appl Mater Interfaces 14(16):18884–18900CrossRef
29.
Zurück zum Zitat Al-Shaar W, Nehme N, Haidar H, Lakiss H (2022) Forecasted water demand using extended cellular automata Markov chain model: case of saida and jezzine regions in Lebanon. Sustain Water Resour Manag 8(3):71CrossRef Al-Shaar W, Nehme N, Haidar H, Lakiss H (2022) Forecasted water demand using extended cellular automata Markov chain model: case of saida and jezzine regions in Lebanon. Sustain Water Resour Manag 8(3):71CrossRef
30.
Zurück zum Zitat Abou-Rjeily C (2022) Improved buffer-aided selective relaying for free space optical cooperative communications. IEEE Trans Wireless Commun 21(9):6877–6889CrossRef Abou-Rjeily C (2022) Improved buffer-aided selective relaying for free space optical cooperative communications. IEEE Trans Wireless Commun 21(9):6877–6889CrossRef
31.
Zurück zum Zitat Slim A, Al Yusuf H, Abbas N, Abdallah CT, Heileman GL, Slim A (2021) A markov decision processes modeling for curricular analytics. In 2021 20th IEEE international conference on machine learning and applications (icmla) (pp. 415–421). IEEE Slim A, Al Yusuf H, Abbas N, Abdallah CT, Heileman GL, Slim A (2021) A markov decision processes modeling for curricular analytics. In 2021 20th IEEE international conference on machine learning and applications (icmla) (pp. 415–421). IEEE
32.
Zurück zum Zitat Shen D, Saab SS (2021) Noisy-output-based direct learning tracking control with Markov nonuniform trial lengths using adaptive gains. IEEE Trans Autom Control 67(8):4123–4130MathSciNetCrossRefMATH Shen D, Saab SS (2021) Noisy-output-based direct learning tracking control with Markov nonuniform trial lengths using adaptive gains. IEEE Trans Autom Control 67(8):4123–4130MathSciNetCrossRefMATH
Metadaten
Titel
A Remote Health Detection System with Sensor Signal Purification
verfasst von
Jing Zhang
Thippa Reddy Gadekallu
Publikationsdatum
15.11.2023
Verlag
Springer US
Erschienen in
Mobile Networks and Applications
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-023-02266-9