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Deep Neural Networks for Human's Fall-risk Prediction using Force-Plate Time Series Signal.
Savadkoohi M, Oladunni T, Thompson LA. Savadkoohi M, et al. Expert Syst Appl. 2021 Nov 15;182:115220. doi: 10.1016/j.eswa.2021.115220. Epub 2021 May 26. Expert Syst Appl. 2021. PMID: 36211616 Free PMC article.
With an accuracy, precision, and sensitivity of 99.9%, 100%, 100%, respectively at the 12th epoch, we found that our proposed One-One-One Deep Neural Network model is the most efficient neural network in predicting human's fall-risk (based on the FES measure) using the for …
With an accuracy, precision, and sensitivity of 99.9%, 100%, 100%, respectively at the 12th epoch, we found that our proposed One-One-One De …
Sensory integration training improves balance in older individuals.
Thompson LA, Savadkoohi M, de Paiva GV, Augusto Renno Brusamolin J, Guise J, Suh P, Guerrero PS. Thompson LA, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3811-3814. doi: 10.1109/EMBC44109.2020.9175715. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33018831 Free PMC article.
With the massive growth of the aging population worldwide, of utmost importance is reducing falls. Critical to reducing fall risk is one's ability to weight incoming sensory information towards maintaining balance. The purpose of this research was to investigate if simple, …
With the massive growth of the aging population worldwide, of utmost importance is reducing falls. Critical to reducing fall risk is one' …
The variability of mass concentrations and source apportionment analysis of equivalent black carbon across urban Europe.
Savadkoohi M, Pandolfi M, Reche C, Niemi JV, Mooibroek D, Titos G, Green DC, Tremper AH, Hueglin C, Liakakou E, Mihalopoulos N, Stavroulas I, Artiñano B, Coz E, Alados-Arboledas L, Beddows D, Riffault V, De Brito JF, Bastian S, Baudic A, Colombi C, Costabile F, Chazeau B, Marchand N, Gómez-Amo JL, Estellés V, Matos V, van der Gaag E, Gille G, Luoma K, Manninen HE, Norman M, Silvergren S, Petit JE, Putaud JP, Rattigan OV, Timonen H, Tuch T, Merkel M, Weinhold K, Vratolis S, Vasilescu J, Favez O, Harrison RM, Laj P, Wiedensohler A, Hopke PK, Petäjä T, Alastuey A, Querol X. Savadkoohi M, et al. Environ Int. 2023 Aug;178:108081. doi: 10.1016/j.envint.2023.108081. Epub 2023 Jul 5. Environ Int. 2023. PMID: 37451041 Free article.
Phenomenology of ultrafine particle concentrations and size distribution across urban Europe.
Trechera P, Garcia-Marlès M, Liu X, Reche C, Pérez N, Savadkoohi M, Beddows D, Salma I, Vörösmarty M, Casans A, Casquero-Vera JA, Hueglin C, Marchand N, Chazeau B, Gille G, Kalkavouras P, Mihalopoulos N, Ondracek J, Zikova N, Niemi JV, Manninen HE, Green DC, Tremper AH, Norman M, Vratolis S, Eleftheriadis K, Gómez-Moreno FJ, Alonso-Blanco E, Gerwig H, Wiedensohler A, Weinhold K, Merkel M, Bastian S, Petit JE, Favez O, Crumeyrolle S, Ferlay N, Martins Dos Santos S, Putaud JP, Timonen H, Lampilahti J, Asbach C, Wolf C, Kaminski H, Altug H, Hoffmann B, Rich DQ, Pandolfi M, Harrison RM, Hopke PK, Petäjä T, Alastuey A, Querol X. Trechera P, et al. Environ Int. 2023 Feb;172:107744. doi: 10.1016/j.envint.2023.107744. Epub 2023 Jan 13. Environ Int. 2023. PMID: 36696793 Free article.
Psychometric properties of Persian version of wound-QOL questionnaire among older adults suffering from chronic wounds.
Savadkoohi H, Barasteh S, Ebadi A, Ashrafizadeh H, Akbarzadeh Amirdehi M, Safdari A, Mollahadi M, Oghli SH. Savadkoohi H, et al. Front Psychol. 2023 Jan 26;13:1041754. doi: 10.3389/fpsyg.2022.1041754. eCollection 2022. Front Psychol. 2023. PMID: 36778173 Free PMC article.
The reliability was assessed by internal consistency using Cronbach's alpha coefficient and test-retest. RESULTS: A total of 100 patients with chronic wounds were included in the study. ...The results revealed a significant and high correlation between the total scores of …
The reliability was assessed by internal consistency using Cronbach's alpha coefficient and test-retest. RESULTS: A total of 100 pati …
Inter-annual trends of ultrafine particles in urban Europe.
Garcia-Marlès M, Lara R, Reche C, Pérez N, Tobías A, Savadkoohi M, Beddows D, Salma I, Vörösmarty M, Weidinger T, Hueglin C, Mihalopoulos N, Grivas G, Kalkavouras P, Ondráček J, Zíková N, Niemi JV, Manninen HE, Green DC, Tremper AH, Norman M, Vratolis S, Eleftheriadis K, Gómez-Moreno FJ, Alonso-Blanco E, Wiedensohler A, Weinhold K, Merkel M, Bastian S, Hoffmann B, Altug H, Petit JE, Favez O, Dos Santos SM, Putaud JP, Dinoi A, Contini D, Timonen H, Lampilahti J, Petäjä T, Pandolfi M, Hopke PK, Harrison RM, Alastuey A, Querol X. Garcia-Marlès M, et al. Environ Int. 2024 Mar;185:108510. doi: 10.1016/j.envint.2024.108510. Epub 2024 Feb 17. Environ Int. 2024. PMID: 38460241 Free article.
PNSD datasets from 12 urban background (UB), 5 traffic (TR), 3 suburban background (SUB) and 1 regional background (RB) sites in 15 European cities and 1 in the USA were evaluated. The non-parametric Theil-Sen's method was used to detect monotonic trends. Meta-analyses wer …
PNSD datasets from 12 urban background (UB), 5 traffic (TR), 3 suburban background (SUB) and 1 regional background (RB) sites in 15 European …
Source apportionment of ultrafine particles in urban Europe.
Garcia-Marlès M, Lara R, Reche C, Pérez N, Tobías A, Savadkoohi M, Beddows D, Salma I, Vörösmarty M, Weidinger T, Hueglin C, Mihalopoulos N, Grivas G, Kalkavouras P, Ondracek J, Zikova N, Niemi JV, Manninen HE, Green DC, Tremper AH, Norman M, Vratolis S, Diapouli E, Eleftheriadis K, Gómez-Moreno FJ, Alonso-Blanco E, Wiedensohler A, Weinhold K, Merkel M, Bastian S, Hoffmann B, Altug H, Petit JE, Acharja P, Favez O, Santos SMD, Putaud JP, Dinoi A, Contini D, Casans A, Casquero-Vera JA, Crumeyrolle S, Bourrianne E, Poppel MV, Dreesen FE, Harni S, Timonen H, Lampilahti J, Petäjä T, Pandolfi M, Hopke PK, Harrison RM, Alastuey A, Querol X. Garcia-Marlès M, et al. Environ Int. 2024 Dec;194:109149. doi: 10.1016/j.envint.2024.109149. Epub 2024 Nov 15. Environ Int. 2024. PMID: 39566442 Free article.
This study focuses on urban Europe, and aims at identifying sources and quantifying their contributions to particle number size distribution (PNSD) using receptor modelling (Positive Matrix Factorization, PMF), and evaluating long-term trends of these source contributions using t …
This study focuses on urban Europe, and aims at identifying sources and quantifying their contributions to particle number size distribution …
Recommendations for reporting equivalent black carbon (eBC) mass concentrations based on long-term pan-European in-situ observations.
Savadkoohi M, Pandolfi M, Favez O, Putaud JP, Eleftheriadis K, Fiebig M, Hopke PK, Laj P, Wiedensohler A, Alados-Arboledas L, Bastian S, Chazeau B, María ÁC, Colombi C, Costabile F, Green DC, Hueglin C, Liakakou E, Luoma K, Listrani S, Mihalopoulos N, Marchand N, Močnik G, Niemi JV, Ondráček J, Petit JE, Rattigan OV, Reche C, Timonen H, Titos G, Tremper AH, Vratolis S, Vodička P, Funes EY, Zíková N, Harrison RM, Petäjä T, Alastuey A, Querol X. Savadkoohi M, et al. Environ Int. 2024 Mar;185:108553. doi: 10.1016/j.envint.2024.108553. Epub 2024 Mar 2. Environ Int. 2024. PMID: 38460240 Free article.
In addition, long-term trend analysis revealed statistically significant (s.s.) decreasing trends in EC. Interestingly, we showed that the corresponding corrected eBC trends are not independent of the way eBC is calculated due to the variability of MAC. NeBC and EC …
In addition, long-term trend analysis revealed statistically significant (s.s.) decreasing trends in EC. Interestingly, we sho …
A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal.
Savadkoohi M, Oladunni T, Thompson L. Savadkoohi M, et al. Biocybern Biomed Eng. 2020 Jul-Sep;40(3):1328-1341. doi: 10.1016/j.bbe.2020.07.004. Epub 2020 Jul 16. Biocybern Biomed Eng. 2020. PMID: 36213693 Free PMC article.
We explored the best way to detect meaningful patterns from an epileptic Electroencephalogram (EEG). Signals used in this work are 23.6 s segments of 100 single channel surface EEG recordings collected with the sampling rate of 173.61 Hz. ...
We explored the best way to detect meaningful patterns from an epileptic Electroencephalogram (EEG). Signals used in this work are 23.6 s …
12 results