Mobile Notification System for Blood Pressure and Heartbeat Anomaly Detection


  • Saswat Raj Pandey Department of Electrical Engineering and Computer Science, Texas A&M University, Kingsville, United States
  • David Hicks Department of Electrical Engineering and Computer Science, Texas A&M University, Kingsville, United States
  • Ayush Goyal Department of Electrical Engineering and Computer Science, Texas A&M University, Kingsville, United States
  • Devottam Gaurav Department of Computer Science and Engineering, IIT Delhi, India
  • Sanju Mishra Tiwari Universidad Autonoma de Tamaulipas, Mexico



Anomaly Detection, Pan-Tompkins algorithm, Firebase Cloud Messaging service, Diastolic Blood Pressure, Systolic Blood Pressure, ECG


In today’s fast-paced world where patients may need to be remotely monitored while they are away or out of hospitals, there is a need for mobile applications that can gather the biometric and biomedical signals from any number of devices and sensors, collecting biometric or biomedical data from a patient. This work presents the improvement of a circulatory strain and heartbeat anomaly detection and notice apparatus as an Android application that permits quick discovery of any variations from the norm in a patient's fundamental dependent on the Pan-Tompkins algorithm and reports it to the pertinent emergency clinic or clinical staff. The blood ECG information can be gotten from the health tracker sensors by means of a Bluetooth association and the patient can enter their Blood pressure esteems. In this case, the information gathered from a set of reproduced data, which is identified with a triggering notice from Firebase Cloud function. This notification is further acknowledged by the enrolled specialist (or any clinical faculty or health sector laborer having a similar application). The system's security part is represented by the fine-grained consent procedure which directs that solitary significant authorizations are required for the best possible working of the application which ought to be given to the application. An encryption method using the Blowfish algorithm is included as a feature of the developed mobile Android application to provide secure data transfer of the patient’s vital signals.


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Author Biographies

Saswat Raj Pandey, Department of Electrical Engineering and Computer Science, Texas A&M University, Kingsville, United States

Saswat Raj Pandey completed his Masters in Computer Science from Texas A&M University-Kingsville. He has conducted research in telemedicine, combining mobile and health together as his thesis project to develop an application that tracks anomalies in the patient’s blood pressure and heart rate and for sending notifications to the relevant doctors. He is an experienced mobile app developer who has a track record of successfully owning the entire development lifecycle from selecting roadmap features, including design, development, testing, release, and post-release support for both Android and iOS platforms.

David Hicks, Department of Electrical Engineering and Computer Science, Texas A&M University, Kingsville, United States

David Hicks is an Associate Professor in the Electrical Engineering and Computer Science Department at Texas A&M University-Kingsville. Before joining TAMU-K he served as Associate Professor and Department Head at Aalborg University in Esbjerg, Denmark. He has also held positions in research labs in the U.S. as well as Europe, and spent time as a researcher in the software industry. His research interests include knowledge management, software engineering, mobile computing platforms, and computer science education. Dr. Hicks received his B.S. degree in Computer Science from Angelo State University, and his MCS and Ph.D. degrees in computer science from Texas A&M University.

Ayush Goyal, Department of Electrical Engineering and Computer Science, Texas A&M University, Kingsville, United States

Ayush Goyal completed his Ph.D. in computer science from the University of Oxford in 2013. Currently, he is an Assistant Professor of Computer Science in the Department of Electrical Engineering and Computer Science at Texas A&M University – Kingsville. His research interests are in machine learning algorithms and artificial intelligence models with applications in computer vision, machine vision, pattern recognition, object detection, and biomedical engineering and image processing. He has worked as a research assistant at King’s College London in biomedical engineering, in the area of cardiac MRI image processing. He has also done post-doctoral research at Tulane University in bioinformatics.

Devottam Gaurav, Department of Computer Science and Engineering, IIT Delhi, India

Devottam Gaurav is currently working as Sr. Project Assistant in the department of Computer Science & Engineering, IIT, Delhi. He worked as Assistant Professor in NIET, Gr. Noida for 3 years. He received his B.E. degree in Information Science & Engineering from Basaveshwar Engineering College, Karnataka in 2012 and MTech – Computer Science & Engineering from Birla Institute of Technology, Ranchi in 2015. His research areas include machine learning, artificial intelligence.

Sanju Mishra Tiwari, Universidad Autonoma de Tamaulipas, Mexico

Sanju Mishra Tiwari is a Senior Researcher at Universidad Autonoma de Tamaulipas (70 years old University), Mexico. She has worked as a Post-Doctoral Researcher in Ontology Engineering Group, Universidad Polytecnica De Madrid, Spain. Prior to this, she has worked as a Research Associate for a sponsored research project “Intelligent Real time Situation Awareness and Decision Support System for Indian Defence” funded by DRDO, New Delhi in Department of Computer Applications, National Institute of Technology, Kurukshetra. In this project, she has developed and evaluated a Decision Support System for Indian Defence. Her current research interests include, Ontology Engineering, Knowledge Graphs, Linked Data Generation and Publication, Semantic Web, Reasoning with SPARQL and Machine Intelligence. She has designed a Smart Health Care Ontology and published it on Linked Data. She has to-date published 26 research papers and 6 book chapters with International and National publishers and 2 Springer books in AISC and CCIS series. She is the member of IEEE. She is working as a General Chair (KGSWC-2020), Session Chair (IEMIS-2020) and worked as Organizing Chair, Proceeding Chair and Publicity Chair for the International Conferences and Workshops (2019) of MIR Labs, USA. She is a PC Member of Research and Innovation Track in SEMANTiCS 2019–20, Karlsruhe and CIKM2020 Ireland conference. She has edited a Springer Proceeding Book as a Co-Editor for the SoCPaR-2019. She has worked as a Guest Editor for IGI-Global and Inderscience Journals and currently working as a Guest Editor for MTAP Springer Journal.


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