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S2.2 Development of hearing technology with personalized safe listening features
Shayan Gupta, Carnegie Mellon University & Audition Technology, LLC, United States; Xuan
Xu, Hongfu Liu, Jacqueline Zhang; Joshua N Bas and Shawn K. Kelly, Carnegie Mellon
University, United States
Noise induced hearing loss (NIHL) is a growing public health concern in the US and globally
due to the emergence of lifestyle preferences and environmental exposures to sound levels
exceeding safe listening limits for extended periods of time. Issuance of the ITU guidelines for
safe listening devices/systems (ITU-T H.870) leading to the 2019 WHO-ITU standard, along
with existing US federal and military standards, provide a framework for developing an
accessible tool for promoting safe listening. Our proposed Hearing Health app, is being
developed for an aggregated assessment of a user's daily sound exposure, through the audio
system and the environment (occupation and beyond) by integrating WHO-ITU and US safe
listening standards, providing real-time alerts, user-centric recommendations and education that
can be integrated into user lifestyles, representing a wide demographic including young adult,
adult, civilian and military populations. The overall goal of the app will be to increase NIHL
awareness and facilitate improvement of user's listening behaviors.

Session 3: Medical IoT

S3.1 Facilitating healthcare IoT standardization with open source: A case study on OCF and IoTivity
Hongki Cha, Younghwan Choi and Kangchan Lee, Electronics and Telecommunications

Research Institute, Korea (Rep.of)
Healthcare Internet of things (IoT) opens up seamless opportunities by unleashing possibilities to
implement better healthcare services. Increased interest in this led to active standardization in
various standards development organizations (SDOs). However, the proliferation of different
international healthcare standards has not brought about full deployment of healthcare IoT
services and business opportunities in the healthcare domain. Nevertheless, there have been
some efforts to take advantage of open-source projects as an enabler to facilitate better
deployment of healthcare IoT standards. In this paper, the authors develop a case study of their
efforts to standardize healthcare IoT with IoTivity, with the Open Connectivity Foundation
(OCF). Then they discuss the benefits of IoTivity and how it has led to the enhancement of
standardization efficiency and acceleration in healthcare IoT. The authors conclude by
recommending ITU-T to continue their efforts to seek the roles of open-source implementation
for faster adoption of not only healthcare IoT standards but also their overall Recommendations.
S3.2 Empirical study of medical IoT for patients with intractable diseases at home
Kentaro Yoshikawa, Shinshu University and Nagano Prefectural Kiso Hospital, Japan; Masaomi
Takizawa, Central Corridor Communications 21, Japan; Akinori Nakamura, Shinshu University,
Japan; and Masahiro Kuroda, Goleta Networks Co., Ltd., Japan

Telemedicine for chronic disease management is extending to the home through the use of
medical devices and ICT technologies. Patients with intractable diseases, such as amyotrophic
lateral sclerosis (ALS) and lethal neurodegenerative diseases, have been returning to their homes
rather than remaining hospitalized. Reliable alarms for condition changes of patients and burden
reduction of their families are taking root as foundations of telemedicine for patients with
intractable diseases. This paper discusses reliable alarm delivery and expected medical IoT
features for those patients. A patient’s family has difficulty in setting optimal parameters of life-
support medical devices following patient condition changes. Also, caregivers and patients’
families expect reliable alarms and false alarm reduction from tele-alarm systems used at home.
We need to provide both anxiety relief for patients’ families and patient safety by reliably
monitoring the patients. We designed and implemented an alarm delivery system for patients
with intractable diseases, and here we propose a prototype false-alarm reduction mechanism for
highly-controlled medical device systems including an artificial ventilator. We investigated
alarms of a patient for one year, cooperating with the patient’s family. We need both hardware
standard interfaces and consistent alarm functions between artificial ventilators. We conclude
with our further work for patients with different types of intractable diseases and for
standardization of medical IoT networks integrating false-alarm reduction systems.

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