Review
Health Care Sciences & Services
Nhung Huyen Hoang, Zilu Liang
Summary: This study reviews the existing literature on applying formal analytical methods to discover insights in the context of personal informatics. The research on knowledge discovery in sleep tracking is limited, and most studies were conducted in the United States. Commonly used sleep metrics include subjective sleep quality, sleep efficiency, sleep onset latency, and time at lights off. Exercise, digital device use, caffeine and alcohol consumption, places visited before sleep, and sleep environments were found to be important contextual factors related to sleep quality.
JMIR MHEALTH AND UHEALTH
(2023)
Article
Multidisciplinary Sciences
Eveline Hitti, Dima Hadid, Jad Melki, Rima Kaddoura, Mohamad Alameddine
Summary: The study found that healthcare providers in the Emergency Department commonly use mobile devices for personal matters and clinical work, with medical formulary/drug referencing and disease diagnosis/management applications being the most common. While most respondents agreed that mobile devices contribute to better-coordinated care and reduced stress, they did not believe that personal usage significantly improved work performance.
SCIENTIFIC REPORTS
(2021)
Article
Clinical Neurology
Jianghui Zhang, Xueqing Zhang, Kexin Zhang, Xiaoyan Lu, Guojing Yuan, Huayu Yang, Haiyun Guo, Zhihui Zhu, Tianli Wang, Jiahu Hao, Ying Sun, Puyu Su, Linsheng Yang, Zhihua Zhang
Summary: Mobile phone addiction is significantly associated with sleep disorder, increasing the risk of adolescents having sleep disorders. This meta-analysis is the first to assess the association between mobile phone addiction and sleep disorder using odds ratios and correlation coefficients concurrently.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Environmental Sciences
Min Gao, Junsheng Li, Shenglei Wang, Fangfang Zhang, Kai Yan, Ziyao Yin, Ya Xie, Wei Shen
Summary: This study proposes a method to extract more accurate water reflectance data from smartphone photographs and tests the usability of these data in deriving water quality parameters. The results demonstrate that the proposed method based on the smartphone camera can effectively derive remote sensing reflectance and water quality parameters with acceptable accuracy.
Review
Health Care Sciences & Services
Iredia M. Olaye, Mia P. Belovsky, Lauren Bataille, Royce Cheng, Ali Ciger, Karen L. Fortuna, Elena S. Izmailova, Debbe McCall, Christopher J. Miller, Willie Muehlhausen, Carrie A. Northcott, Isaac R. Rodriguez-Chavez, Abhishek Pratap, Benjamin Vandendriessche, Yaara Zisman-Ilani, Jessie P. Bakker
Summary: This study describes the methods and definitions used to capture and report adherence using biometric monitoring technologies (BioMeTs) in recent years. The study found that consistency in adherence definitions was associated with the resolution of the reported data. Recommendations include reporting quantitative, nonsurrogate, sensor-based adherence data and providing clear descriptions of the sensors and algorithms used, as well as supporting validation data.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Health Care Sciences & Services
Benjamin Stucky, Ian Clark, Yasmine Azza, Walter Karlen, Peter Achermann, Birgit Kleim, Hans-Peter Landolt
Summary: The study validated Fitbit Charge 2 against portable home PSG in shift workers, showing reasonably accurate estimates for sleep and heart rate, but wide limits of agreement hinder precision in quantifying individual sleep episodes. The value of the consumer-grade multisensor wearable could be enhanced with open-source algorithms and raw data access.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Health Care Sciences & Services
Tsegahun Asfaw, Deribew Genetu
Summary: The study revealed a high contamination rate of healthcare worker's mobile phones, with a significant proportion of multidrug-resistant bacteria. Males and individuals aged 20-35 had higher contamination rates, and the intensive care unit was identified as a hotspot for mobile phone bacterial contamination.
RISK MANAGEMENT AND HEALTHCARE POLICY
(2021)
Article
Health Care Sciences & Services
Hallie Espel-Huynh, Matthew Baldwin, Megan Puzia, Jennifer Huberty
Summary: Background: Chronic sleep disturbance is common among US employees and affects productivity. Mindfulness interventions and mobile apps provide scalable ways to address this issue, but little research has been done on their effects on employees. This study examines the effects of Calm, a mindfulness app, and sleep coaching on productivity impairment among retail employees through changes in insomnia and daytime sleepiness. The study found that Calm, along with sleep coaching, improved employee sleep and indirectly improved productivity impairment.
JMIR MHEALTH AND UHEALTH
(2022)
Article
Entomology
Doyeon Park, Joy Bowles, Kate Norrid, F. Stephen Dobson, Ash Abebe, Haripriya Vaidehi Narayanan, Manu Prakash, Byron Blagburn, Lindsay Starkey, Sarah Zohdy
Summary: In order to combat mosquito-borne diseases, various methods of vector control have been utilized. Estimating the age structure within mosquito populations is important for determining their potential to transmit diseases. Age-grading techniques are commonly used to assess the effectiveness of vector control tools, but these methods are labor-intensive and require specialized training.
MEDICAL AND VETERINARY ENTOMOLOGY
(2023)
Article
Environmental Sciences
Ang Li, Bo Li, Huibin Wang, Xia Liu, Yanan Guo, Bin Lu
Summary: The goal of this work is to evaluate the generation and metals recycling potentials of retired mobile phones in Korea. The generation estimation is conducted using sales and statistic data, and the deduced lifetime trends to increase with the increased values of subscribers and the fluctuated values of sales. The amount and dynamic of critical metals are also calculated with the content and amount of retired mobile phones.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Health Care Sciences & Services
Gabrielle Chenais, Emmanuel Lagarde, Cedric Gil-Jardine
Summary: Emergency medicine and its services are experiencing a crisis due to the COVID-19 pandemic, revealing the shortcomings of the current system and the need for novel approaches. The advancement of artificial intelligence has the potential to revolutionize healthcare, especially in emergency medicine.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Health Care Sciences & Services
Christian A. Webb, Matthew J. Hirshberg, Richard J. Davidson, Simon B. Goldberg
Summary: This study developed and tested a data-driven algorithm to predict who is most likely to benefit from a meditation app. The results showed that Personalized Advantage Index scores moderated group differences in outcomes, indicating the potential of the algorithm to inform which individuals are most likely to benefit. This algorithm can be used to objectively communicate expected benefits to individuals, helping them make informed decisions about using a meditation app.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Health Care Sciences & Services
Ashish Goel, Arsalan Moinuddin, Rajesh Tiwari, Yashendra Sethi, Mohammed K. Suhail, Aditi Mohan, Nirja Kaka, Parth Sarthi, Ravi Dutt, Sheikh F. Ahmad, Sabry M. Attia, Talha Bin Emran, Hitesh Chopra, Nigel H. Greig
Summary: Smartphone use has been found to have a significant impact on sleep quality, sleep duration, and sleep disturbances among undergraduate medical students. The study also highlights the importance of public health policymakers considering this evidence when developing guidelines around smartphone use to promote better sleep behavior and reduce sleep-wake rhythm disorders.
Article
Sport Sciences
Maddison J. Jones, Brian Dawson, Peter R. Eastwood, Shona L. Halson, Joanna Miller, Kevin Murray, Ian C. Dunican, Grant J. Landers, Peter Peeling
Summary: Removing evening electronic devices does not improve sleep quantity or cognitive performance in athletes during short-duration training camps. There were no significant differences observed in anxiety levels or performance between athletes who had access to electronic devices and those who did not.
JOURNAL OF STRENGTH AND CONDITIONING RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Thai La, Linh Tao, Chanh Minh Tran, Tho Nguyen Duc, Eiji Kamioka, Phan Xuan Tan
Summary: This paper proposes a method to improve the accuracy of depth estimation by applying a deep encoder-decoder architecture to a 3D CNN. The proposed architecture achieves an optimal tradeoff between computational cost and accuracy.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Yosuke Kurihara, Takashi Kaburagi, Kajiro Watanabe
IEEE SENSORS JOURNAL
(2016)
Article
Engineering, Electrical & Electronic
Yosuke Kurihara, Takashi Kaburagi, Kajiro Watanabe
IEEE SENSORS JOURNAL
(2016)
Article
Engineering, Electrical & Electronic
Takashi Kaburagi, Yosuke Kurihara
IEEE SENSORS JOURNAL
(2017)
Article
Engineering, Electrical & Electronic
Kazuaki Shiba, Takashi Kaburagi, Yosuke Kurihara
IEEE SENSORS JOURNAL
(2017)
Article
Engineering, Electrical & Electronic
Yosuke Kurihara, Takashi Kaburagi, Satoshi Kumagai, Toshiyuki Matsumoto
IEEE SENSORS JOURNAL
(2019)
Article
Engineering, Electrical & Electronic
Kajiro Watanabe, Yosuke Kurihara, Kazuyuki Kobayashi, Kaoru Suzuki
Summary: The study introduces a non-invasive biosensing method utilizing a differential pressure sensor to measure pressure on a tube under a bed cushion. Compared to methods using microphones, this approach offers better dynamic range and signal-to-noise ratio. Experimental results show that the proposed method based on the differential pressure sensor provides higher signal-to-noise ratio when measuring heart beat signals.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Kajiro Watanabe, Yosuke Kurihara, Kazuyuki Kobayashi, Kaoru Suzuki
Summary: This study presents a new method to obtain the ballistocardiogram (BCG) of the body. By investigating the material properties of different cushions and the diameter of the sensor tube on the experimental results, the optimal sensor tube placement was determined, and the sensor tube and cushion conditions with the best signal-to-noise ratio were identified.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
T. Yoshida, Y. Hamada, Y. Kurihara, K. Kobayashi, K. Suzuki, K. Watanabe
Summary: Factory machine diagnosis is crucial for preventive maintenance, and reliable and easy-to-handle diagnostic equipment is essential for providing easily recognizable diagnostic results. The equipment developed in this study, based on optical lever and mechanical vibration resonance principles, is able to magnify and display vibrations, showing good agreement with measured results.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
T. Yoshida, Y. Hamada, Y. Kurihara, K. Kobayashi, K. Suzuki, K. Watanabe
Summary: This paper introduces a device to detect and visualize periodic mechanical vibrations using a mechanical resonance frequency tuner, a laser source, and a screen. The device amplifies the vibration and draws the magnified laser spot trajectory on the screen. The study also presents a theoretical model of the tuner and demonstrates good agreement between calculated and experimentally obtained tuning frequencies.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
T. Yoshida, Y. Hamada, S. Nakamura, Y. Kurihara, K. Watanabe
Summary: This paper describes a method for monitoring lung disorders using a battery-less spirometer sensor and a vortex whistle for measurement. The physical characteristics of the vortex whistle sound were theoretically clarified and experimentally validated. Based on the results, the signal processing conditions for acquiring spirometer information from the vortex sound were determined.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Y. Hamada, T. Yoshida, Y. Kurihara, K. Watanabe
Summary: This article describes a novel application of a piezoelectric sounder as a respiratory detector on an acoustic device. The device can measure human breath in real-time and corresponds to the output of a medical spirometer. Experimental results demonstrate the device's noise robustness under various measurement conditions and its ability to detect abnormal respiration.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
M. Tada, T. Yoshida, Y. Hamada, Y. Kurihara, K. Kobayashi, K. Watanabe
Summary: This article describes a new application of the microwave Doppler sensor as a remote vibrometer. The sensor is used to measure the speed of a moving object. Experimental results show that the vibration amplitude of an object can be accurately calculated using filters or the fast Fourier transform algorithm.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Keita Nishio, Takashi Kaburagi, Yuri Hamada, Yosuke Kurihara
Summary: A bed-based unconstrained cardiac auscultation method is proposed to obtain heart sounds, utilizing a sensing device with resonance frequency in the heart sounds range and applying Wiener filter to reduce noise. Validation experiment shows the method can measure heart sounds with a correlation coefficient of 0.75 +/- 0.12 on average, demonstrating its effectiveness.
IEEE SENSORS LETTERS
(2021)
Article
Computer Science, Information Systems
Yosuke Kurihara, Takashi Kaburagi, Keita Nishio, Yuri Hamada, Toshiyuki Matsumoto, Satoshi Kumagai
Article
Engineering, Electrical & Electronic
Takashi Kaburagi, Kazuaki Shiba, Satoshi Kumagai, Toshiyuki Matsumoto, Yosuke Kurihara
IEEE SENSORS LETTERS
(2019)
