The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices
Open accessAbstract
OBJECTIVES: Wearable devices are currently at the heart of just about every discussion related to the Internet of Things. The requirement for self-health monitoring and preventive medicine is increasing due to the projected dramatic increase in the number of elderly people until 2020. Developed technologies are truly able to reduce the overall costs for prevention and monitoring. This is possible by constantly monitoring health indicators in various areas, and in particular, wearable devices are considered to carry this task out. These wearable devices and mobile apps now have been integrated with telemedicine and telehealth efficiently, to structure the medical Internet of Things. This paper reviews wearable health care devices both in scientific papers and commercial efforts. METHODS: MIoT is demonstrated through a defined architecture design, including hardware and software dealing with wearable devices, sensors, smart phones, medical application, and medical station analyzers for further diagnosis and data storage. RESULTS: Wearables, with the help of improved technology have been developed greatly and are considered reliable tools for long-term health monitoring systems. These are applied in the observation of a large variety of health monitoring indicators in the environment, vital signs, and fitness. CONCLUSIONS: Wearable devices are now used for a wide range of healthcare observation. One of the most important elements essential in data collection is the sensor. During recent years with improvement in semiconductor technology, sensors have made investigation of a full range of parameters closer to realization.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087 · cited 1×
“The most relevant definition of wearable electronics is the following: “devices that can be worn or mated with human skin to continuously and closely monitor an individual’s activities, without interrupting or limiting the user’s motions” [2].”
BackgroundInfluentialSoft Microfluidic Assemblies of Sensors, Circuits, and Radios for the Skin
Xu, S., Zhang, Y., Jia, L., Mathewson, K. E., Jang, K.-I., Kim, J., Fu, H., Huang, X., Chava, P., Wang, R., et al. (2014) · Science · doi:10.1126/science.1250169 · Cited by 1,199
AMON: A Wearable Multiparameter Medical Monitoring and Alert System
Anliker, U., Ward, J. A., Lukowicz, P., Troster, G., Dolveck, F., Baer, M., Keita, F., Schenker, E. B., Catarsi, F., Coluccini, L., et al. (2004) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.837888 · Cited by 707
Gait analysis using gravitational acceleration measured by wearable sensors
Takeda, R., Tadano, S., Todoh, M., Morikawa, M., Nakayasu, M., & Yoshinari, S. (2009) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2008.10.027 · Cited by 128
Cited by
Artificial intelligence in drug development: Present status and future prospects
Mak, K.-K., & Pichika, M. R. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2018.11.014 · Cited by 1,018
Wearable health devices in health care: narrative systematic review
Lu, L., Zhang, J., Xie, Y., Gao, F., Xu, S., Wu, X., & Ye, Z. (2020) · JMIR mHealth and uHealth · doi:10.2196/18907 · Cited by 701
Advances in healthcare wearable devices
Iqbal, S. M. A., Mahgoub, I., Du, E., Leavitt, M. A., & Asghar, W. (2021) · npj Flexible Electronics · doi:10.1038/s41528-021-00107-x · Cited by 714
Evolution of Wearable Devices with Real-Time Disease Monitoring for Personalized Healthcare
Guk, K., Han, G., Lim, J., Jeong, K., Kang, T., Lim, E.-K., & Jung, J. (2019) · Nanomaterials · doi:10.3390/nano9060813 · Cited by 624
Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research
Khezr, S., Moniruzzaman, M., Yassine, A., & Benlamri, R. (2019) · Applied Sciences · doi:10.3390/app9091736 · Cited by 575
Metadata
- Authors
- Haghi, M., Thurow, K., & Stoll, R.
- Venue
- Healthcare Informatics Research
- Published
- 2017
- Volume
- 23
- Issue
- 1
- Pages
- 4
- ISSN
- 2093-3681 (ISSN-L)
- 2093-369X
- OpenAlex
- W2593909786
- Cited by
- 711
- References
- 4
- FWCI
- 32.01
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices. https://app.cochat.ai/papers/10.4258/hir.2017.23.1.4
- The paper
- Haghi, M., Thurow, K., & Stoll, R. (2017). Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices. Healthcare Informatics Research. https://doi.org/10.4258/hir.2017.23.1.4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.