Karachi, Pakistan (Hybrid) | October 11-13, 2021

Wireless Sensor Networks and IoT Applications for eHealthcare Symposium


1. Data acquisition and physiological sensing
2. Wireless Sensor Networks for Telemedicine
3. Machine Learning and Artificial Intelligence (AI) for Ambient Assisted Living
4. Challenges in adopting new technologies in e-Healthcare

Theme and Introduction:

Medical communication is a fast-growing interdisciplinary field that underlines the use of computer and communication technologies for assisting healthcare professionals. That is to support the processes of diagnosis, treatment, monitoring, medication, eHealthcare medical records (EMR). The rapid evolution of medical sensing, data communication and underlying technologies make it vital for researchers and practitioners to stay abreast of emerging trends. The topics of discussions will include but not limited: - Body Sensor Networks
- Networking Implantable and Wearable Sensors
- Medical Device real-time monitoring and Data Sharing with healthcare providers
- Processing and Transmission Techniques for Medical Image Records
- e-Medicine and eHealth Information and Network Infrastructure
- Machine Learning and Artificial Intelligence for Ambient Assisted Living
- Security, Trust and Privacy in eHealth and telemedecine

Optical Physiological Sensing:

Sensor networks using light to derive functional parameters and physiological activity in-situ and in-vivo/ex-vivo are vital in medical treatment today. Harboring the optical characteristics to define specific biological functions and activities is becoming feasible. The real-life sensing is a critical component of remote sensing in telemedicine. Rapid growth of devices and technologies in medical fields has created new opportunities and applications avenues.

Communications and Network Technologies:

The advances in networks, communication technologies and web engineering play an important role in offering medical services and eHealthcare solutions. Ubiquitous connectivity through high-speed networks enables medical sensor networks for augmenting the contemporary services architecture. Sensor-networks exploit personal wearable devices used to measure various clinical parameters of a patient. Such an exercise is useful for diagnostics, post operation monitoring and rehabilitation in case of serious injuries, heart attacks or brain trauma triage.

A number of physiological sensors are available for temperature, humidity, blood pressure, and heartbeat measurements and recording. Wireless sensor networks collect biomedical data using Body Area Network (BAN) or Wearable Wireless Body Area Network (WWBAN). The interconnectivity between sensor nodes can easily be provided by Mobile Adhoc Networking (MANET), dispensing away wires considered to be obtrusive and uncomfortable for the patient. The data records are maintained on monitoring stations through Personal Area Network (PAN). The sensor networks may use continuous, event driven or query-based methods for data collection and transport to the nursing station for data aggregation. The implementation of 5G data transfer has provided the opportunity of limitless data streaming of virtually all patients equipped with implantable and wearable devices that contain monitoring and sensing equipment.

Decision Support Systems:

Data archiving and presentation on demand or sharing require decision support and workflow systems to enable the physicians for providing prompt advice to patients and second opinion to their peers. On the similar lines, teleconferencing has been found highly useful for remote assistance, education and training of doctors and paramedical staff.

Informatics for Healthcare:

The healthcare informatics is handled in mainly three tiers i.e. organizational, operational and technological realms. The organizational activities deal with integration of applications, communication and consistency over heterogeneous platforms. The modules are autonomous and self-consistent, presented in distributed environment through internetworking. The clinical activity records, patient history and other information in medical facilities are handled by nursing stations.

The network communication between patients, medics, and management are handled in Distributed Hospital Environment. It deals with healthcare records, security policy implementation and patient monitoring services. The technological level deals with physical availability of intranet, internet and wireless connectivity.

Challenges & Opportunities:

- The eHealthcare industry has great potential & opportunities but faces enormous challenges as well. Those remain to be resolved in order to develop flexible, reliable, secure, and power-efficient networks optimized for medical needs. In this regard AI and ML have potential to address the needs.
- The security considerations in data storage and transport i.e., archiving and sharing require HIPPA compliance.

Envisioned Program :

1. Keynote address: Smart living: Telemedicine, e-Healthcare for medical diagnostics, decision support systems (Mohammad Aslam, MD, PhD)
Invited Papers:
2. Data acquisition and physiological sensing (Ir. Robert Splinter, Ph.D.)
3. Machine Learning and Artificial Intelligence for Ambient Assisted Living (Mohammad Ilyas, Ph.D.)
4. Wireless Sensor Networks for Telemedicine (Engr. Shaftab Ahmed)
5. Contributed research papers from the academia, industry and regulatory bodies

Submit your paper.