AIMC Topic: Smartphone

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Digital revolution.

Nature Nov 1, 2018
Humans Artificial Intelligence Technology Diffusion of Innovation Archives Video Games Social Change Vulnerable Populations Smartphone Social Media
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SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Prior work has shown that smartphone spirometry can effectively measure lung function using the phone's built-in microphone and could one day play a critical role in making spirometry more usable, accessible, and cost-effective. Although traditional ...
Neural Networks, Computer Machine Learning Feedback Humans Smartphone Spirometry
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Determination of Saccade Latency Distributions using Video Recordings from Consumer-grade Devices.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Quantitative and accurate tracking of neurocognitive decline remains an ongoing challenge. We seek to address this need by focusing on robust and unobtrusive measurement of saccade latency - the time between the presentation of a visual stimulus and ...
Neural Networks, Computer Smartphone Video Recording Photic Stimulation Humans Saccades
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Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

JAMA neurology Jul 1, 2018
IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings.
Dopamine Agents Gait Gait Analysis Voice Middle Aged Severity of Illness Index Smartphone Postural Balance Female Reaction Time Aged Mobile Applications Male Parkinson Disease Humans Machine Learning
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Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.

IEEE journal of biomedical and health informatics Jan 1, 2018
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervent...
Nutrition Policy United States Department of Agriculture Wearable Electronic Devices Smartphone United States Telemedicine Pattern Recognition, Automated Natural Language Processing Eating Nutrition Assessment Diet Adolescent Algorithms Young Adult Adult Humans Software
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The need to approximate the use-case in clinical machine learning.

GigaScience May 1, 2017
The availability of smartphone and wearable sensor technology is leading to a rapid accumulation of human subject data, and machine learning is emerging as a technique to map those data into clinical predictions. As machine learning algorithms are in...
Exercise Wearable Electronic Devices Smartphone Humans Monitoring, Ambulatory Algorithms Machine Learning Accelerometry Reproducibility of Results
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IntelliTable: Inclusively-Designed Furniture with Robotic Capabilities.

Studies in health technology and informatics Jan 1, 2017
IntelliTable is a new proof-of-principle assistive technology system with robotic capabilities in the form of an elegant universal cantilever table able to move around by itself, or under user control. We describe the design and current capabilities ...
Humans Smartphone Robotics Self-Help Devices Interior Design and Furnishings
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A Multi-Technique Reconfigurable Electrochemical Biosensor: Enabling Personal Health Monitoring in Mobile Devices.

IEEE transactions on biomedical circuits and systems Oct 1, 2016
This paper describes the design and characterization of a reconfigurable, multi-technique electrochemical biosensor designed for direct integration into smartphone and wearable technologies to enable remote and accurate personal health monitoring. By...
Biosensing Techniques Amplifiers, Electronic Reproducibility of Results Equipment Design Conductometry Self Care Telemedicine Sensitivity and Specificity Systems Integration Signal Processing, Computer-Assisted Monitoring, Ambulatory Equipment Failure Analysis Diagnosis, Computer-Assisted Smartphone
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Smartphone-Based System for Learning and Inferring Hearing Aid Settings.

Journal of the American Academy of Audiology Oct 1, 2016
BACKGROUND: Previous research has shown that hearing aid wearers can successfully self-train their instruments' gain-frequency response and compression parameters in everyday situations. Combining hearing aids with a smartphone introduces additional ...
Smartphone Noise Calibration Hearing Aids Hearing Loss, Sensorineural Female Male Machine Learning Middle Aged Humans Software Algorithms
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A mobile platform for automated screening of asthma and chronic obstructive pulmonary disease.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Chronic Obstructive Pulmonary Disease (COPD) and asthma each represent a large proportion of the global disease burden; COPD is the third leading cause of death worldwide and asthma is one of the most prevalent chronic diseases, afflicting over 300 m...
Smartphone Asthma Logistic Models Humans Surveys and Questionnaires Mass Screening Respiratory Function Tests Algorithms ROC Curve Pulmonary Disease, Chronic Obstructive Stethoscopes
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