Proceedings ArticleDOI
SpiroSmart: using a microphone to measure lung function on a mobile phone
Eric C. Larson,Mayank Goel,Gaetano Boriello,Sonya L. Heltshe,Margaret Rosenfeld,Shwetak N. Patel +5 more
- pp 280-289
TLDR
SpiroSmart, a low-cost mobile phone application that performs spirometry sensing using the built-in microphone, is presented and it is shown that pulmonologists can use SpiroSmart to diagnose varying degrees of obstructive lung ailments.Abstract:
Home spirometry is gaining acceptance in the medical community because of its ability to detect pulmonary exacerbations and improve outcomes of chronic lung ailments. However, cost and usability are significant barriers to its widespread adoption. To this end, we present SpiroSmart, a low-cost mobile phone application that performs spirometry sensing using the built-in microphone. We evaluate SpiroSmart on 52 subjects, showing that the mean error when compared to a clinical spirometer is 5.1% for common measures of lung function. Finally, we show that pulmonologists can use SpiroSmart to diagnose varying degrees of obstructive lung ailments.read more
Citations
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Journal ArticleDOI
The Internet of Things for Health Care: A Comprehensive Survey
TL;DR: An intelligent collaborative security model to minimize security risk is proposed; how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context is discussed; and various IoT and eHealth policies and regulations are addressed to determine how they can facilitate economies and societies in terms of sustainable development.
Journal ArticleDOI
Taking connected mobile-health diagnostics of infectious diseases to the field
Christopher S. Wood,Michael R. Thomas,Jobie Budd,Tivani P. Mashamba-Thompson,Kobus Herbst,Deenan Pillay,Rosanna W. Peeling,Anne M Johnson,Rachel A. McKendry,Molly M. Stevens +9 more
TL;DR: Combining mobile phone technologies with infectious disease diagnostics can increase patients’ access to testing and treatment and provide public health authorities with new ways to monitor and control outbreaks of infectious diseases.
Journal ArticleDOI
Smartphone Sensors for Health Monitoring and Diagnosis.
Sumit Majumder,M. Jamal Deen +1 more
TL;DR: A comprehensive review of the state-of-the-art research and developments in smartphone-sensor based healthcare technologies is presented and a discussion on regulatory policies for medical devices and their implications in smartphones-based healthcare systems is presented.
Journal ArticleDOI
Advances in Smartphone-Based Point-of-Care Diagnostics
Xiayu Xu,Altug Akay,Huilin Wei,ShuQi Wang,Belinda Pingguan-Murphy,Björn-Erik Erlandsson,Xiujun Li,Won Gu Lee,Jie Hu,Lin Wang,Feng Xu +10 more
TL;DR: The state-of-the-art advances in smartphone-based POC diagnostic technologies and their applications in the past few years are outlined, ranging from in vivo tests that use smartphone's built-in/external sensors to detect biological signals to in vitro tests that involves complicated biochemical reactions.
Journal ArticleDOI
Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities
TL;DR: This review analyzes security and privacy features consisting of data protection, network architecture, Quality of Services (QoS), app development, and continuous monitoring of healthcare that are facing difficulties in many IoT-based healthcare architectures.
References
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Journal ArticleDOI
Standardisation of spirometry
Martin R. Miller,John L. Hankinson,Vito Brusasco,Felip Burgos,Richard Casaburi,Allan L. Coates,Robert O. Crapo,Paul L. Enright,C.P.M. van der Grinten,P. Gustafsson,R. Jensen,D.C. Johnson,Neil R. MacIntyre,Roy T. McKay,Daniel Navajas,O. F. Pedersen,Riccardo Pellegrino,Giovanni Viegi,J. Wanger +18 more
TL;DR: This research presents a novel and scalable approach called “Standardation of LUNG FUNCTION TESTing” that combines “situational awareness” and “machine learning” to solve the challenge of integrating nanofiltration into the energy system.
Proceedings Article
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
TL;DR: This work presents iterative parameter estimation algorithms for conditional random fields and compares the performance of the resulting models to HMMs and MEMMs on synthetic and natural-language data.
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Standardisation of spirometry
Martin R. Miller,John L. Hankinson,Vito Brusasco,Felip Burgos,Richard Casaburi,Allan L. Coates,Robert O. Crapo,Paul L. Enright,C.P.M. van der Grinten,P. Gustafsson,R. Jensen,D.C. Johnson,Neil R. MacIntyre,Roy T. McKay,Daniel Navajas,O. F. Pedersen,Riccardo Pellegrino,Giovanni Viegi,J. Wanger +18 more