Healthcare IoT Computing
▶ Introduction
 

Internet of Things (IoT) is a prominent research domain, where all physical objects are connected to the internet to develop and deliver smart services. A recent study by Gartner predicts that, by the year of 2020 around 26 billion of IoT units will be connected to the network which will contribute immensely in the global economy by opening a diverse market of 1.9 trillion USD. Diverge applications of IoT includes smart metering, smart cities, industrial automation, home automation, security & emergencies, and especially assisted living and personalized healthcare.

To enable persuasive patient care, IoT based healthcare opens a new research domain to mitigate the challenges of pervasive, ubiquitous and personalized healthcare. The proliferation of the market in IoT based patient care services is attracting attention in the healthcare industry.  The healthcare industry applies cutting edge intelligent IoT technologies and machine learning methods to enhance operations and processes to ensure and manage efficient healthcare delivery. The next generation of ambient intelligent (AmI) technology sustains the development of an improved healthcare delivery system for the healthcare industry



Fig. 1.  An ambient assisted living framework for personalized healthcare service.

 

The benefits of IoT based AmI system for in-home healthcare services are as follows:

  • It facilitates in-home physical and mental health care. Therefore, the healthcare service providers can offer personalized healthcare services in a home environment.
  • It enables a platform for continuous assessment and monitoring of patients
  • The remote diagnosis and early detection or prediction of emergency patient status enables healthcare service delivery systems transition towards more knowledge-based semi-autonomic healthcare industrialization.

 


▶ Research Issues

 

Research Issues:

  1. IoT network management for  globalized healthy living and wellbeing
  2. IoT based ambient assisted living framework for ubiquitous healthcare
  3. Fusion mechanisms of multimodal IoT sensors observation for personalized healthcare and well-being.
  4. Real-time activity recognition through IoT sensors observation for elderly people’s health hazard monitoring
  5. Emotion recognition through IoT sensors observation
  6. Online Big-data analysis mechanism for patients’ continuous physiological observations through IoT sensors
  7. Security and privacy management of IoT sensors healthcare data
  8. Healthcare ontology design for knowledgebase and agile patientcare management system
  9. Efficient and cost-effective provisioning of real-time healthcare IoT data in cloud


▶ References

 
  1. Pasluosta CF, Gassner H, Winkler J, Klucken J, Eskofier BM. An emerging era in the management of Parkinson's disease: wearable technologies and the internet of things. IEEE journal of biomedical and health informatics. Nov;19(6):1873-81, 2015.
  2. Gope P, Hwang T. BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network. IEEE Sensors Journal. 2016 Mar 1;16(5):1368-76, 2016.
  3. Whitmore A, Agarwal A, Da Xu L. The Internet of Things—A survey of topics and trends. Information Systems Frontiers. Apr 1;17(2):261-74, 2015.
  4. Konstantinidis EI, Antoniou PE, Bamparopoulos G, Bamidis PD. A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments. Information Sciences. Apr 10;300:124-39, 2015.
  5. Md. Golam Rabiul Alam, Eung Jun Cho, Eui-Nam Huh, Choong Seon Hong, "Cloud Based Mental State Monitoring System for Suicide Risk Reconnaissance Using Wearable Bio-sensors," International Conference on Ubiquitous Informing Management and Communication(ACM IMCOM 2014), Jan 9-12, 2014, Siem Reap, Cambodia.
  6. Chen C, Jafari R, Kehtarnavaz N. Improving human action recognition using fusion of depth camera and inertial sensors. IEEE Transactions on Human-Machine Systems. Feb;45(1):51-61, 2015.
  7. Bijarbooneh FH, Du W, Ngai EC, Fu X, Liu J. Cloud-Assisted Data Fusion and Sensor Selection for Internet of Things. IEEE Internet of Things Journal, Jun;3(3):257-68, 2016.
  8. Pung HK, Gu T, Xue W, Palmes PP, Zhu J, Ng WL, Tang CW, Chung NH. Context-aware middleware for pervasive elderly homecare. IEEE Journal on Selected Areas in Communications. May;27(4):510-24, 2009.
  9. Lanata A, Valenza G, Nardelli M, Gentili C, Scilingo EP. Complexity index from a personalized wearable monitoring system for assessing remission in mental health. IEEE journal of biomedical and health informatics,Jan;19(1):132-9, 2015.
  10. Andreu-Perez J, Leff DR, Ip HM, Yang GZ. From Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare. IEEE Transactions on Biomedical Engineering. 2015 Dec;62(12):2750-62, 2015.
  11. Chen M, Zhang Y, Li Y, Mao S, Leung VC. EMC: emotion-aware mobile cloud computing in 5G. IEEE Network. Mar;29(2):32-8, 2015.
  12. Felipe FernandezGeorge C. Pallis. Opportunities and challenges of the Internet of Things for healthcare: Systems engineering perspective, Wireless Mobile Communication and Healthcare (Mobihealth), 2014 EAI 4th International Conference on, 2014.
  13. Gope P, Hwang T. BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network. IEEE Sensors Journal. Mar 1;16(5):1368-76, 2016.
  14. Zhang YF, Gou L, Tian Y, Li TC, Zhang M, Li JS. Design and Development of a Sharable Clinical Decision Support System Based on a Semantic Web Service Framework. Journal of medical systems. May 1;40(5):1-4, 2016.
  15. Md Golam Rabiul Alam, Rim Haw, Choong Seon Hong, "Emergency Psychiatric State Prediction for Ambient Assisted Living," IEEE International Conference on Consumer Electronics(ICCE 2015), Jan 9-12(10), 2015, Las Vegas, USA
  16. Boyi XuLi Da XuHongming CaiCheng XieJingyuan HuFenglin Bu. Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services, IEEE Transactions on Industrial Informatics, 2014.
  17. Kumarage H, Khalil I, Alabdulatif A, Tari Z, Yi X. Secure Data Analytics for Cloud-Integrated Internet of Things Applications. IEEE Cloud Computing. Mar;3(2):46-56, 2016.


▶ Achievements

 
  1. Md Golam Rabiul Alam, Sarder Fakhrul Abedin, Anupam Kumar Bairaggi, Ashis Talukder, Choong Seon Hong, "An Autonomic SLA Management for IoT Networks", 2016년 한국컴퓨터종합학술대회(KCC 2016), 2016.06.29.~07.01
  2. Sarder Fakhrul Abedin, Md. Golam Rabiul Alam, Anupam Kumar Bairagi, Ashis Talukder, Choong Seon Hong, "An Indoor Navigation Service for Visually Impaired People", 2016년 한국컴퓨터종합학술대회(KCC 2016), 2016.06.29.~07.01.
  3. Sarder Fakhrul Abedin, Md Golam Rabiul Alam, Rim Haw, Choong Seon Hong, "A System Model for Energy Efficient Green-IoT Network," The International Conference on Information Networking(ICOIN 2015), Jan 12-14(13), 2015, Siem Reap, Cambodia.
  4. Md Golam Rabiul Alam, Rim Haw, Choong Seon Hong, "Emergency Psychiatric State Prediction for Ambient Assisted Living," IEEE International Conference on Consumer Electronics(ICCE 2015), Jan 9-12(10), 2015, Las Vegas, USA
  5. Md Golam Rabiul Alam, Sung Soo Kim, Sarder Fakhrul Abedin, Anupam Kumar Bairaggi, Ashis Talukder, Choong Seon Hong, "Prediction of Psychiatric Mental States for Emergency Telepsychiatry," 2015 한국컴퓨터종합학술대회(KCC 2015), 2015.06.24~26.
  6. Md. Golam Rabiul Alam, Eung Jun Cho, Eui-Nam Huh, Choong Seon Hong, "Cloud Based Mental State Monitoring System for Suicide Risk Reconnaissance Using Wearable Bio-sensors," International Conference on Ubiquitous Informing Management and Communication(ACM IMCOM 2014), Jan 9-12, 2014, Siem Reap, Cambodia.
  7. Sarder Fakhrul Abedin, Md. Golam Rabiul Alam, Hyo Sung Kang, Seung Il Moon, Choong Seon Hong, "A Fog Based Agile Distribution of IoT Application(s) using Chef," 한국정보과학회 제 41회 동계학술발표회(KIISE 2014), 2014.12.18~20(18).
  8. Md. Golam Rabiul Alam, Choong Seon Hong, "Cost-aware Optimized Virtual Machine Placement through Cloud Broker in Multi-cloud Architecture," 2014 한국컴퓨터종합학술대회(KCC 2014), 2014.06.25~27(27).
  9. Md. Golam Rabiul Alam, Choong Seon Hong, "Cost-optimized Selection of CaaS Provider in Cloud Brokering Architecture for Cloud Based Healthcare Services," 한국정보과학회 제 40회 추계학술발표회(KIISE 2013), 2013.11.15~16(16).
  10. Md.Golam Rabiul Alam, Choong Seon Hong, "A Cloud Based Autonomic Mental State Monitoring System Using Wearable Body Sensors," 2013 한국컴퓨터종합학술대회(KCC 2013), 2013.6.26~28(28).
  11. Md. Golam Rabiul Alam, Choong Seon Hong, "A Q-learning Based Routing Protocol for Body Area Networks," 한국정보과학회 제 39회 추계학술발표회(KIISE 2012), 2012.11.23~24(23).
  12. Abedin, Sarder Fakhrul, Md Golam Rabiul Alam, Nguyen H. Tran, and Choong Seon Hong. "A Fog based system model for cooperative IoT node pairing using matching theory." In Network Operations and Management Symposium (APNOMS), 2015 17th Asia-Pacific, pp. 309-314. IEEE, 2015.