Monitoring and Transmission via Wireless Network for an Assistive Device.
← Research streamThe paper describes an M3S assistive system that uses an RF wireless module to enable communication between a remote bus and a local bus to address distance limitations, demonstrated for parking assistance of powered wheelchairs and for monitoring/accessory d…
Study snapshot
Abstract
Owing to the increasing number of disabled individuals, technical aids are acting more aggressively in the era of modern medicine. The M3S (Multiple Master Multiple Slave) system developed for the physically challenged, utilizes intelligent transmission and integration mechanisms to arrange all hooked-up devices with proper control. To overcome certain limitations of the system (e.g. distance), an RF (Radio Frequency) wireless module would be in charge of the wireless communication between a remote bus and a local bus. It is demonstrated here as assistance for parking assistive vehicles (e.g. powered wheelchair) located in a remote region, which also includes monitoring and usage of accessorial data transmissions shown in our man-machine interface.
AI evidence extraction
Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.
Main findings
The paper describes an M3S assistive system that uses an RF wireless module to enable communication between a remote bus and a local bus to address distance limitations, demonstrated for parking assistance of powered wheelchairs and for monitoring/accessory data transmission via a man-machine interface.
Outcomes measured
- wireless communication performance for assistive device system (M3S)
- monitoring and transmission of accessory data
- parking assistance for powered wheelchair/assistive vehicles
Limitations
- No RF exposure parameters reported (e.g., frequency, power, SAR).
- No health or biological outcomes reported in the abstract.
- Sample size and evaluation methods/results are not described in the abstract.
View raw extracted JSON
{
"study_type": "engineering",
"exposure": {
"band": "RF",
"source": "wireless module",
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": "physically challenged / disabled individuals (assistive device users)",
"sample_size": null,
"outcomes": [
"wireless communication performance for assistive device system (M3S)",
"monitoring and transmission of accessory data",
"parking assistance for powered wheelchair/assistive vehicles"
],
"main_findings": "The paper describes an M3S assistive system that uses an RF wireless module to enable communication between a remote bus and a local bus to address distance limitations, demonstrated for parking assistance of powered wheelchairs and for monitoring/accessory data transmission via a man-machine interface.",
"effect_direction": "unclear",
"limitations": [
"No RF exposure parameters reported (e.g., frequency, power, SAR).",
"No health or biological outcomes reported in the abstract.",
"Sample size and evaluation methods/results are not described in the abstract."
],
"evidence_strength": "insufficient",
"confidence": 0.66,
"peer_reviewed_likely": "yes",
"keywords": [
"assistive device",
"powered wheelchair",
"RF wireless module",
"wireless network",
"monitoring",
"data transmission",
"M3S",
"man-machine interface"
],
"suggested_hubs": []
}AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.
Identifiers and source
DOI: 10.1109/iembs.2005.1616479
PubMed: 17282248
Related papers
- Dynamic control of adsorption sensitivity for photo-EMF-based ammonia gas sensors using a wireless network. 2011
- Development of "MobileAudiometer" for screening using mobile phones. 2004
- Features of electromagnetic radiation time-and-frequency fluctuation intensity distributions from human brain structures. 2000
- [Electromagnetic field in the environment - estimation methods and monitoring]. 2019
- 50 Hz Temporal Magnetic Field Monitoring from High-Voltage Power Lines: Sensor Design and Experimental Validation. 2024
- Wireless platform for multi-channel analog measurements. 2006