Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 13 to 24 of 25 entries
Sorted by: Best Match Show Resources per page
Laser-Processed Nature-Inspired Deformable Structures for Breathable and Reusable Electrophysiological Sensors toward Controllable Home Electronic Appliances and Psychophysiological Stress Monitoring.

ACS applied materials & interfaces

Chae H, Kwon HJ, Kim YK, Won Y, Kim D, Park HJ, Kim S, Gandla S.
PMID: 31294964
ACS Appl Mater Interfaces. 2019 Aug 07;11(31):28387-28396. doi: 10.1021/acsami.9b06363. Epub 2019 Jul 25.

Physiological monitoring through skin patch stretchable devices has received extensive attention because of their significant findings in many human-machine interaction applications. In this paper, we present novel nature-inspired, kiri-spider, serpentine structural designs to sustain mechanical deformations under complex stress...

Cite
Chae H, Kwon HJ, Kim YK, et al. Laser-Processed Nature-Inspired Deformable Structures for Breathable and Reusable Electrophysiological Sensors toward Controllable Home Electronic Appliances and Psychophysiological Stress Monitoring. ACS Appl Mater Interfaces. 2019;11(31):28387-28396doi: 10.1021/acsami.9b06363.
Chae, H., Kwon, H. J., Kim, Y. K., Won, Y., Kim, D., Park, H. J., Kim, S., & Gandla, S. (2019). Laser-Processed Nature-Inspired Deformable Structures for Breathable and Reusable Electrophysiological Sensors toward Controllable Home Electronic Appliances and Psychophysiological Stress Monitoring. ACS applied materials & interfaces, 11(31), 28387-28396. https://doi.org/10.1021/acsami.9b06363
Chae, Hyeokju, et al. "Laser-Processed Nature-Inspired Deformable Structures for Breathable and Reusable Electrophysiological Sensors toward Controllable Home Electronic Appliances and Psychophysiological Stress Monitoring." ACS applied materials & interfaces vol. 11,31 (2019): 28387-28396. doi: https://doi.org/10.1021/acsami.9b06363
Chae H, Kwon HJ, Kim YK, Won Y, Kim D, Park HJ, Kim S, Gandla S. Laser-Processed Nature-Inspired Deformable Structures for Breathable and Reusable Electrophysiological Sensors toward Controllable Home Electronic Appliances and Psychophysiological Stress Monitoring. ACS Appl Mater Interfaces. 2019 Aug 07;11(31):28387-28396. doi: 10.1021/acsami.9b06363. Epub 2019 Jul 25. PMID: 31294964.
Copy Download .nbib Format: NLM
Population-level evidence of survival benefits of patient-reported outcome symptom monitoring software systems in routine cancer care.

Cancer medicine

Basch E, Charlot M, Dueck AC.
PMID: 33029950
Cancer Med. 2020 Nov;9(21):7797-7799. doi: 10.1002/cam4.3480. Epub 2020 Oct 07.

No abstract available.

Cite
Basch E, Charlot M, Dueck AC. Population-level evidence of survival benefits of patient-reported outcome symptom monitoring software systems in routine cancer care. Cancer Med. 2020;9(21):7797-7799doi: 10.1002/cam4.3480.
Basch, E., Charlot, M., & Dueck, A. C. (2020). Population-level evidence of survival benefits of patient-reported outcome symptom monitoring software systems in routine cancer care. Cancer medicine, 9(21), 7797-7799. https://doi.org/10.1002/cam4.3480
Basch, Ethan, et al. "Population-level evidence of survival benefits of patient-reported outcome symptom monitoring software systems in routine cancer care." Cancer medicine vol. 9,21 (2020): 7797-7799. doi: https://doi.org/10.1002/cam4.3480
Basch E, Charlot M, Dueck AC. Population-level evidence of survival benefits of patient-reported outcome symptom monitoring software systems in routine cancer care. Cancer Med. 2020 Nov;9(21):7797-7799. doi: 10.1002/cam4.3480. Epub 2020 Oct 07. PMID: 33029950; PMCID: PMC7643649.
Copy Download .nbib Format: NLM
Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design.

Biomedical engineering online

Coulby G, Clear A, Jones O, Young F, Stuart S, Godfrey A.
PMID: 33126878
Biomed Eng Online. 2020 Oct 30;19(1):80. doi: 10.1186/s12938-020-00825-9.

Healthcare studies are moving toward individualised measurement. There is need to move beyond supervised assessments in the laboratory/clinic. Longitudinal free-living assessment can provide a wealth of information on patient pathology and habitual behaviour, but cost and complexity of equipment...

Cite
Coulby G, Clear A, Jones O, et al. Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design. Biomed Eng Online. 2020;19(1):80doi: 10.1186/s12938-020-00825-9.
Coulby, G., Clear, A., Jones, O., Young, F., Stuart, S., & Godfrey, A. (2020). Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design. Biomedical engineering online, 19(1), 80. https://doi.org/10.1186/s12938-020-00825-9
Coulby, G, et al. "Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design." Biomedical engineering online vol. 19,1 (2020): 80. doi: https://doi.org/10.1186/s12938-020-00825-9
Coulby G, Clear A, Jones O, Young F, Stuart S, Godfrey A. Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design. Biomed Eng Online. 2020 Oct 30;19(1):80. doi: 10.1186/s12938-020-00825-9. PMID: 33126878; PMCID: PMC7602322.
Copy Download .nbib Format: NLM
Monitoring functional status using a wearable real-time locating technology.

Nursing outlook

Bowen ME.
PMID: 32546324
Nurs Outlook. 2020 Nov - Dec;68(6):727-733. doi: 10.1016/j.outlook.2020.04.012. Epub 2020 Jun 14.

Sensor technologies enable real-time, continuous, and objective monitoring of activity and functioning in later life. In long-term care, timely assessment of functional status is needed to prevent falls and other acute events. However, the electronic forms and paper and...

Cite
Bowen ME. Monitoring functional status using a wearable real-time locating technology. Nurs Outlook. 2020;68(6):727-733doi: 10.1016/j.outlook.2020.04.012.
Bowen, M. E. (2020). Monitoring functional status using a wearable real-time locating technology. Nursing outlook, 68(6), 727-733. https://doi.org/10.1016/j.outlook.2020.04.012
Bowen, Mary Elizabeth. "Monitoring functional status using a wearable real-time locating technology." Nursing outlook vol. 68,6 (2020): 727-733. doi: https://doi.org/10.1016/j.outlook.2020.04.012
Bowen ME. Monitoring functional status using a wearable real-time locating technology. Nurs Outlook. 2020 Nov - Dec;68(6):727-733. doi: 10.1016/j.outlook.2020.04.012. Epub 2020 Jun 14. PMID: 32546324.
Copy Download .nbib Format: NLM
Continuous wireless postoperative monitoring using wearable devices: further device innovation is needed.

Critical care (London, England)

Xu W, Gharibans AA, Bissett IP, O'Grady G, Wells CI, Areia C, Biggs C, Santos M, Thurley N, Gerry S, Tarassenko L, Watkinson P, Vollam S.
PMID: 34781997
Crit Care. 2021 Nov 15;25(1):394. doi: 10.1186/s13054-021-03805-0.

No abstract available.

Cite
Xu W, Gharibans AA, Bissett IP, et al. Continuous wireless postoperative monitoring using wearable devices: further device innovation is needed. Crit Care. 2021;25(1):394doi: 10.1186/s13054-021-03805-0.
Xu, W., Gharibans, A. A., Bissett, I. P., O'Grady, G., Wells, C. I., Areia, C., Biggs, C., Santos, M., Thurley, N., Gerry, S., Tarassenko, L., Watkinson, P., & Vollam, S. (2021). Continuous wireless postoperative monitoring using wearable devices: further device innovation is needed. Critical care (London, England), 25(1), 394. https://doi.org/10.1186/s13054-021-03805-0
Xu, William, et al. "Continuous wireless postoperative monitoring using wearable devices: further device innovation is needed." Critical care (London, England) vol. 25,1 (2021): 394. doi: https://doi.org/10.1186/s13054-021-03805-0
Xu W, Gharibans AA, Bissett IP, O'Grady G, Wells CI, Areia C, Biggs C, Santos M, Thurley N, Gerry S, Tarassenko L, Watkinson P, Vollam S. Continuous wireless postoperative monitoring using wearable devices: further device innovation is needed. Crit Care. 2021 Nov 15;25(1):394. doi: 10.1186/s13054-021-03805-0. PMID: 34781997; PMCID: PMC8594168.
Copy Download .nbib Format: NLM
The Role of the Internet of Things in Healthcare: Future Trends and Challenges.

Computer methods and programs in biomedicine

Aghdam ZN, Rahmani AM, Hosseinzadeh M.
PMID: 33348073
Comput Methods Programs Biomed. 2021 Feb;199:105903. doi: 10.1016/j.cmpb.2020.105903. Epub 2020 Dec 13.

BACKGROUND AND OBJECTIVE: With the recent advances in the Internet of Things (IoT), the field has become more and more developed in healthcare. The Internet of things will help physicians and hospital staff perform their duties comfortably and intelligently....

Cite
Aghdam ZN, Rahmani AM, Hosseinzadeh M. The Role of the Internet of Things in Healthcare: Future Trends and Challenges. Comput Methods Programs Biomed. 2020;199:105903doi: 10.1016/j.cmpb.2020.105903.
Aghdam, Z. N., Rahmani, A. M., & Hosseinzadeh, M. (2021). The Role of the Internet of Things in Healthcare: Future Trends and Challenges. Computer methods and programs in biomedicine, 199105903. https://doi.org/10.1016/j.cmpb.2020.105903
Aghdam, Zahra Nasiri, et al. "The Role of the Internet of Things in Healthcare: Future Trends and Challenges." Computer methods and programs in biomedicine vol. 199 (2021): 105903. doi: https://doi.org/10.1016/j.cmpb.2020.105903
Aghdam ZN, Rahmani AM, Hosseinzadeh M. The Role of the Internet of Things in Healthcare: Future Trends and Challenges. Comput Methods Programs Biomed. 2021 Feb;199:105903. doi: 10.1016/j.cmpb.2020.105903. Epub 2020 Dec 13. PMID: 33348073.
Copy Download .nbib Format: NLM
Eight ways machine learning is assisting medicine.

Nature medicine

May M.
PMID: 33442003
Nat Med. 2021 Jan;27(1):2-3. doi: 10.1038/s41591-020-01197-2.

No abstract available.

Cite
May M. Eight ways machine learning is assisting medicine. Nat Med. 2021;27(1):2-3doi: 10.1038/s41591-020-01197-2.
May, M. (2021). Eight ways machine learning is assisting medicine. Nature medicine, 27(1), 2-3. https://doi.org/10.1038/s41591-020-01197-2
May, Mike. "Eight ways machine learning is assisting medicine." Nature medicine vol. 27,1 (2021): 2-3. doi: https://doi.org/10.1038/s41591-020-01197-2
May M. Eight ways machine learning is assisting medicine. Nat Med. 2021 Jan;27(1):2-3. doi: 10.1038/s41591-020-01197-2. PMID: 33442003.
Copy Download .nbib Format: NLM
AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces.

Sensors (Basel, Switzerland)

Vega-Barbas M, Álvarez-Campana M, Rivera D, Sanz M, Berrocal J.
PMID: 34205031
Sensors (Basel). 2021 Jun 03;21(11). doi: 10.3390/s21113863.

Estimating the number of people present in a given venue in real-time is extremely useful from a security, management, and resource optimization perspective. This article presents the architecture of a system based on the use of Wi-Fi sensor devices...

Cite
Vega-Barbas M, Álvarez-Campana M, Rivera D, et al. AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces. Sensors (Basel). 2021;21(11)doi: 10.3390/s21113863.
Vega-Barbas, M., Álvarez-Campana, M., Rivera, D., Sanz, M., & Berrocal, J. (2021). AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces. Sensors (Basel, Switzerland), 21(11), . https://doi.org/10.3390/s21113863
Vega-Barbas, Mario, et al. "AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces." Sensors (Basel, Switzerland) vol. 21,11 (2021). doi: https://doi.org/10.3390/s21113863
Vega-Barbas M, Álvarez-Campana M, Rivera D, Sanz M, Berrocal J. AFOROS: A Low-Cost Wi-Fi-Based Monitoring System for Estimating Occupancy of Public Spaces. Sensors (Basel). 2021 Jun 03;21(11). doi: 10.3390/s21113863. PMID: 34205031; PMCID: PMC8199860.
Copy Download .nbib Format: NLM
Martin Black award for the best paper published in 2015.

Physiological measurement

Moorman R, Simmons M.
PMID: 27754985
Physiol Meas. 2016 Nov;37(11):E27-E28. doi: 10.1088/0967-3334/37/11/E27. Epub 2016 Oct 18.

No abstract available.

Cite
Moorman R, Simmons M. Martin Black award for the best paper published in 2015. Physiol Meas. 2016;37(11):E27-E28doi: 10.1088/0967-3334/37/11/E27.
Moorman, R., & Simmons, M. (2016). Martin Black award for the best paper published in 2015. Physiological measurement, 37(11), E27-E28. https://doi.org/10.1088/0967-3334/37/11/E27
Moorman, Randall, and Simmons, Maggie. "Martin Black award for the best paper published in 2015." Physiological measurement vol. 37,11 (2016): E27-E28. doi: https://doi.org/10.1088/0967-3334/37/11/E27
Moorman R, Simmons M. Martin Black award for the best paper published in 2015. Physiol Meas. 2016 Nov;37(11):E27-E28. doi: 10.1088/0967-3334/37/11/E27. Epub 2016 Oct 18. PMID: 27754985.
Copy Download .nbib Format: NLM
On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions.

Sensors (Basel, Switzerland)

Kaczorowska M, Karczmarek P, Plechawska-Wójcik M, Tokovarov M.
PMID: 34283098
Sensors (Basel). 2021 Jul 02;21(13). doi: 10.3390/s21134542.

Cognitive workload, being a quantitative measure of mental effort, draws significant interest of researchers, as it allows to monitor the state of mental fatigue. Estimation of cognitive workload becomes especially important for job positions requiring outstanding engagement and responsibility,...

Cite
Kaczorowska M, Karczmarek P, Plechawska-Wójcik M, et al. On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions. Sensors (Basel). 2021;21(13)doi: 10.3390/s21134542.
Kaczorowska, M., Karczmarek, P., Plechawska-Wójcik, M., & Tokovarov, M. (2021). On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions. Sensors (Basel, Switzerland), 21(13), . https://doi.org/10.3390/s21134542
Kaczorowska, Monika, et al. "On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions." Sensors (Basel, Switzerland) vol. 21,13 (2021). doi: https://doi.org/10.3390/s21134542
Kaczorowska M, Karczmarek P, Plechawska-Wójcik M, Tokovarov M. On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions. Sensors (Basel). 2021 Jul 02;21(13). doi: 10.3390/s21134542. PMID: 34283098; PMCID: PMC8272248.
Copy Download .nbib Format: NLM
Continuous ward monitoring: the selection, monitoring, alarms, response, treatment (SMART) road map.

British journal of anaesthesia

Flick M, Saugel B.
PMID: 34454711
Br J Anaesth. 2021 Nov;127(5):675-677. doi: 10.1016/j.bja.2021.07.016. Epub 2021 Aug 26.

No abstract available.

Cite
Flick M, Saugel B. Continuous ward monitoring: the selection, monitoring, alarms, response, treatment (SMART) road map. Br J Anaesth. 2021;127(5):675-677doi: 10.1016/j.bja.2021.07.016.
Flick, M., & Saugel, B. (2021). Continuous ward monitoring: the selection, monitoring, alarms, response, treatment (SMART) road map. British journal of anaesthesia, 127(5), 675-677. https://doi.org/10.1016/j.bja.2021.07.016
Flick, Moritz, and Saugel, Bernd. "Continuous ward monitoring: the selection, monitoring, alarms, response, treatment (SMART) road map." British journal of anaesthesia vol. 127,5 (2021): 675-677. doi: https://doi.org/10.1016/j.bja.2021.07.016
Flick M, Saugel B. Continuous ward monitoring: the selection, monitoring, alarms, response, treatment (SMART) road map. Br J Anaesth. 2021 Nov;127(5):675-677. doi: 10.1016/j.bja.2021.07.016. Epub 2021 Aug 26. PMID: 34454711.
Copy Download .nbib Format: NLM
Recent Advances in Wearable Sensing Technologies.

Sensors (Basel, Switzerland)

Perez AJ, Zeadally S.
PMID: 34696040
Sensors (Basel). 2021 Oct 14;21(20). doi: 10.3390/s21206828.

Wearable sensing technologies are having a worldwide impact on the creation of novel business opportunities and application services that are benefiting the common citizen. By using these technologies, people have transformed the way they live, interact with each other...

Cite
Perez AJ, Zeadally S. Recent Advances in Wearable Sensing Technologies. Sensors (Basel). 2021;21(20)doi: 10.3390/s21206828.
Perez, A. J., & Zeadally, S. (2021). Recent Advances in Wearable Sensing Technologies. Sensors (Basel, Switzerland), 21(20), . https://doi.org/10.3390/s21206828
Perez, Alfredo J, and Zeadally, Sherali. "Recent Advances in Wearable Sensing Technologies." Sensors (Basel, Switzerland) vol. 21,20 (2021). doi: https://doi.org/10.3390/s21206828
Perez AJ, Zeadally S. Recent Advances in Wearable Sensing Technologies. Sensors (Basel). 2021 Oct 14;21(20). doi: 10.3390/s21206828. PMID: 34696040; PMCID: PMC8541055.
Copy Download .nbib Format: NLM
Showing 13 to 24 of 25 entries