Please use this identifier to cite or link to this item:
https://doi.org/10.3390/s151024977
DC Field | Value | |
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dc.title | Performance evaluation of wearable sensor systems: A case study in moderate-scale deployment in hospital environment | |
dc.contributor.author | Sun, W | |
dc.contributor.author | Ge, Y | |
dc.contributor.author | Zhang, Z | |
dc.contributor.author | Wong, W.-C | |
dc.date.accessioned | 2020-09-09T06:45:20Z | |
dc.date.available | 2020-09-09T06:45:20Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Sun, W, Ge, Y, Zhang, Z, Wong, W.-C (2015). Performance evaluation of wearable sensor systems: A case study in moderate-scale deployment in hospital environment. Sensors (Switzerland) 15 (10) : 24977-24995. ScholarBank@NUS Repository. https://doi.org/10.3390/s151024977 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/175280 | |
dc.description.abstract | A wearable sensor system enables continuous and remote health monitoring and is widely considered as the next generation of healthcare technology. The performance, the packet error rate (PER) in particular, of a wearable sensor system may deteriorate due to a number of factors, particularly the interference from the other wearable sensor systems in the vicinity. We systematically evaluate the performance of the wearable sensor system in terms of PER in the presence of such interference in this paper. The factors that affect the performance of the wearable sensor system, such as density, traffic load, and transmission power in a realistic moderate-scale deployment case in hospital are all considered. Simulation results show that with 20% duty cycle, only 68.5% of data transmission can achieve the targeted reliability requirement (PER is less than 0.05) even in the off-peak period in hospital. We then suggest some interference mitigation schemes based on the performance evaluation results in the case study. © 2015 by the authors; licensee MDPI, Basel, Switzerland. | |
dc.publisher | MDPI AG | |
dc.source | Unpaywall 20200831 | |
dc.subject | Body sensor networks | |
dc.subject | Hospitals | |
dc.subject | Interference suppression | |
dc.subject | Wearable technology | |
dc.subject | Healthcare technology | |
dc.subject | Hospital environment | |
dc.subject | Inter-user interference | |
dc.subject | Interference mitigation | |
dc.subject | Packet error rates | |
dc.subject | Reliability requirements | |
dc.subject | Remote health monitoring | |
dc.subject | Wearable sensor systems | |
dc.subject | Wearable sensors | |
dc.subject | ambulatory monitoring | |
dc.subject | artifact | |
dc.subject | computer network | |
dc.subject | devices | |
dc.subject | environment | |
dc.subject | equipment design | |
dc.subject | genetic procedures | |
dc.subject | hospital | |
dc.subject | human | |
dc.subject | mobile application | |
dc.subject | reproducibility | |
dc.subject | signal noise ratio | |
dc.subject | telemetry | |
dc.subject | wireless communication | |
dc.subject | Artifacts | |
dc.subject | Biosensing Techniques | |
dc.subject | Computer Communication Networks | |
dc.subject | Environment | |
dc.subject | Equipment Design | |
dc.subject | Hospitals | |
dc.subject | Humans | |
dc.subject | Mobile Applications | |
dc.subject | Monitoring, Ambulatory | |
dc.subject | Reproducibility of Results | |
dc.subject | Signal-To-Noise Ratio | |
dc.subject | Telemetry | |
dc.subject | Wireless Technology | |
dc.type | Article | |
dc.contributor.department | DEPARTMENT OF COMPUTER SCIENCE | |
dc.contributor.department | ELECTRICAL AND COMPUTER ENGINEERING | |
dc.description.doi | 10.3390/s151024977 | |
dc.description.sourcetitle | Sensors (Switzerland) | |
dc.description.volume | 15 | |
dc.description.issue | 10 | |
dc.description.page | 24977-24995 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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