The DOI matches its Crossref record.
Mobile Health (m-Health) System in the Context of IoT
Abstract
In this paper we describe the mobile health (m-health) system in the context of Internet of Things (IoT). We describe the fundamental characteristics of m-health devices such as compactness, IP connectivity, low-power consumption and security. We discuss acquisition of mobile health data via medical gadgets and wearables and application of this data in monitoring various health conditions such as blood sugar level, ECG, blood-pressure, asthma, etc. Security is very critical for IoT based m-health system. We address the issues of confidentiality, privacy, and security in the context of secure m-health system. We listed several measures to protect the information of patients and m-health system. The m-health system will benefit the patients in many ways such as quick diagnosis, remote monitoring and home rehabilitation. Overall m-health system will significantly reduces healthcare cost and unnecessary hospitalizations.
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
Cited by
A Survey on Internet of Things and Cloud Computing for Healthcare
Dang, L. M., Piran, M. J., Han, D., Min, K., & Moon, H. (2019) · Electronics · doi:10.3390/electronics8070768 · Cited by 640
A blockchain future for internet of things security: a position paper
Banerjee, M., Lee, J., & Choo, K.-K. R. (2018) · Digital Communications and Networks · doi:10.1016/j.dcan.2017.10.006 · Cited by 585
Bhuiyan, M. N., Rahman, M. M., Billah, M. M., & Saha, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3062630 · Cited by 490
Internet of Medical Things (IoMT) - An overview
Vishnu, S., Ramson, S. R. J., & Jegan, R. (2020) · 2020 5th International Conference on Devices, Circuits and Systems (ICDCS) · doi:10.1109/icdcs48716.2020.243558 · Cited by 283
Metadata
- Authors
- Almotiri, S. H., Khan, M. A., & Alghamdi, M. A.
- Venue
- 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)
- Publisher
- IEEE
- Published
- 2016-08
- Pages
- 39-42
- OpenAlex
- W2538375713
- Cited by
- 203
- References
- 0
- FWCI
- 8.83
- Type
- conference paper
- Language
- en
- Open access
- closed
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: Mobile Health (m-Health) System in the Context of IoT. https://app.cochat.ai/papers/10.1109/w-ficloud.2016.24
- The paper
- Almotiri, S. H., Khan, M. A., & Alghamdi, M. A. (2016). Mobile Health (m-Health) System in the Context of IoT. 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW). https://doi.org/10.1109/w-ficloud.2016.24
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.
