Reconfigurable Architecture of Neuro-Physiological Sensors for Mobile Health System

Ruhi Mahajan, Babak Noroozi, Bashir I. Morshed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Reconfigurability in a Body Sensor Network (BSN) increases the scalability and heterogeneous potential of the sensor network to provide efficient patient-specific monitoring. Therefore, in this work, a key question is addressed: How to design a BSN with inherited modularity and scalability? To answer this question, we have designed integrated wearable 'Smart Sensor Nodes' (SSN) consisting of EEG and piezo-resistive sensors to measure brain and heart-rate signals, respectively, at real-life settings. The modularity in EEG sensing is introduced by using a novel analog front end that can measure brain signals without using the conventional Driven-Right-Leg (DRL) circuit. The reconfigurability in the network is realized by connecting SSNs to a Command Control Node (CCN) using a five-pin digital Inter-Integrated Circuit (I2C) bus interface at 100 kbps bus-speed. The CCN synchronizes the attached SSNs every second, aggregates data from the SSNs and wirelessly sends the data via a Bluetooth transceiver at a baud rate of 115.2 kbps. The network is scalable to any SSN attached with or detached from the bus. This allows reconfigurability and hardware node upgrade without the redesign of the entire system. We have functionally validated few custom-designed SSNs (three EEG SSNs and one heart rate variability SSN) against the commercially available EEG and pulse oximeter. The proposed reconfigurable architecture promises a scalable BSN in mobile health (mHealth) that can be connected to any neuro-physiological sensor for data acquisition in the practical settings.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 2nd International Conference on Connected Health
Subtitle of host publicationApplications, Systems and Engineering Technologies, CHASE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages402-409
Number of pages8
ISBN (Electronic)9781509047215
DOIs
StatePublished - Aug 14 2017
Event2nd IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017 - Philadelphia, United States
Duration: Jul 17 2017Jul 19 2017

Publication series

NameProceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017

Other

Other2nd IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017
CountryUnited States
CityPhiladelphia
Period7/17/177/19/17

Fingerprint

Reconfigurable architectures
Telemedicine
Body sensor networks
Electroencephalography
Smart sensors
Motor Vehicles
Sensor nodes
Sensors
health
Scalability
Brain
Heart Rate
Oximeters
Bluetooth
brain
Physiologic Monitoring
Transceivers
Sensor networks
Integrated circuits
Pulse

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Health(social science)
  • Communication
  • Computer Science Applications
  • Software
  • Biomedical Engineering
  • Health Informatics

Cite this

Mahajan, R., Noroozi, B., & Morshed, B. I. (2017). Reconfigurable Architecture of Neuro-Physiological Sensors for Mobile Health System. In Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017 (pp. 402-409). [8010679] (Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CHASE.2017.124

Reconfigurable Architecture of Neuro-Physiological Sensors for Mobile Health System. / Mahajan, Ruhi; Noroozi, Babak; Morshed, Bashir I.

Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 402-409 8010679 (Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mahajan, R, Noroozi, B & Morshed, BI 2017, Reconfigurable Architecture of Neuro-Physiological Sensors for Mobile Health System. in Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017., 8010679, Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017, Institute of Electrical and Electronics Engineers Inc., pp. 402-409, 2nd IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017, Philadelphia, United States, 7/17/17. https://doi.org/10.1109/CHASE.2017.124
Mahajan R, Noroozi B, Morshed BI. Reconfigurable Architecture of Neuro-Physiological Sensors for Mobile Health System. In Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 402-409. 8010679. (Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017). https://doi.org/10.1109/CHASE.2017.124
Mahajan, Ruhi ; Noroozi, Babak ; Morshed, Bashir I. / Reconfigurable Architecture of Neuro-Physiological Sensors for Mobile Health System. Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 402-409 (Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017).
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