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Artykuły w czasopismach na temat "Activities of daily living recognition"
Wu, Jiaxuan, Yunfei Feng i Peng Sun. "Sensor Fusion for Recognition of Activities of Daily Living". Sensors 18, nr 11 (19.11.2018): 4029. http://dx.doi.org/10.3390/s18114029.
Pełny tekst źródłaIhianle, Isibor Kennedy, Usman Naeem i Abdel-Rahman Tawil. "Recognition of Activities of Daily Living from Topic Model". Procedia Computer Science 98 (2016): 24–31. http://dx.doi.org/10.1016/j.procs.2016.09.007.
Pełny tekst źródłaChua, Sook-Ling, Lee Kien Foo i Hans W. Guesgen. "Predicting Activities of Daily Living with Spatio-Temporal Information". Future Internet 12, nr 12 (27.11.2020): 214. http://dx.doi.org/10.3390/fi12120214.
Pełny tekst źródłaOrtis, Alessandro, Giovanni M. Farinella, Valeria D’Amico, Luca Addesso, Giovanni Torrisi i Sebastiano Battiato. "Organizing egocentric videos of daily living activities". Pattern Recognition 72 (grudzień 2017): 207–18. http://dx.doi.org/10.1016/j.patcog.2017.07.010.
Pełny tekst źródłaRefonaa, J., Bandaru Suhas, B. V. S. Bhaskar, S. L. JanyShabu, S. Dhamodaran, Sardar Maran, Maria Anu i M. Lakshmi. "Fall Detection and Daily Living Activity Recognition Logic Regression". Journal of Computational and Theoretical Nanoscience 17, nr 8 (1.08.2020): 3520–25. http://dx.doi.org/10.1166/jctn.2020.9223.
Pełny tekst źródłaNguyen, Thi-Hoa-Cuc, Jean-Christophe Nebel i Francisco Florez-Revuelta. "Recognition of Activities of Daily Living with Egocentric Vision: A Review". Sensors 16, nr 1 (7.01.2016): 72. http://dx.doi.org/10.3390/s16010072.
Pełny tekst źródłaSalguero, Alberto, Macarena Espinilla, Pablo Delatorre i Javier Medina. "Using Ontologies for the Online Recognition of Activities of Daily Living". Sensors 18, nr 4 (14.04.2018): 1202. http://dx.doi.org/10.3390/s18041202.
Pełny tekst źródłaAvgerinakis, Konstantinos, Alexia Briassouli i Ioannis Kompatsiaris. "Activities of daily living recognition using optimal trajectories from motion boundaries". Journal of Ambient Intelligence and Smart Environments 7, nr 6 (20.11.2015): 817–34. http://dx.doi.org/10.3233/ais-150347.
Pełny tekst źródłaCheng, Bo-Chao, Yi-An Tsai, Guo-Tan Liao i Eui-Seok Byeon. "HMM machine learning and inference for Activities of Daily Living recognition". Journal of Supercomputing 54, nr 1 (9.10.2009): 29–42. http://dx.doi.org/10.1007/s11227-009-0335-0.
Pełny tekst źródłaAl Huda, Fais, Herman Tolle i Rosa Andrie Asmara. "Realtime Online Daily Living Activity Recognition Using Head-Mounted Display". International Journal of Interactive Mobile Technologies (iJIM) 11, nr 3 (27.04.2017): 67. http://dx.doi.org/10.3991/ijim.v11i3.6469.
Pełny tekst źródłaRozprawy doktorskie na temat "Activities of daily living recognition"
Tayyub, Jawad. "Hierarchical modelling and recognition of activities of daily living". Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/22186/.
Pełny tekst źródłaViard, Kévin. "Modelling and Recognition of Human Activities of Daily Living in a Smart Home". Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLN022/document.
Pełny tekst źródłaMost of the work done in the field of ambient assisted living (AAL) is based on the use of visual and audio sensors such as cameras. However, these sensors are often rejected by the patient because of their invasiveness. Alternative approaches require the use of sensors embedded on the person (GPS, electronic wristbands or RFID chips in clothing ...), and their relevance is therefore reduced to the assumption that people actually wear them, without rejecting nor forgetting them. For these reasons, in this thesis, we find more relevant the approaches based on the use of binary sensors integrated into the habitat only, such as motion detectors, sensory mats or optical barriers. In such a technological context, it becomes interesting to use paradigms, models and tools of Discrete Event Systems (DES), initially developed for modeling, analysis and control of complex industrial systems. In this thesis work, the goal is to build an activity of daily living modeling and monitoring approach, based on the models and the paradigm of the DES and answering a problem that is expressed as follows:The objective is to develop a global framework to discover and recognise activities of daily living of an inhabitant living alone in a smart home. This smart home have to be equipped with binary sensors only, expert labeling of activities should not be needed and activities can be represented by probabilistic models. The first method presented in this thesis allows to build a probabilistic finite-state automata (PFA) from a learning database and an expert description of the activities to be modeled given by the medical staff. The second method developed during this thesis estimates, according to the observations, the activity performed by the monitored inhabitant. The methods described in this thesis are applied on data generated using an apartment lent by ENS Paris-Saclay and equipped according the experimental needs of this thesis
La maggior parte dei lavori nel settore dell’Ambient Assisted Living (AAL) si basasull’uso di sensori visivi e audio come le telecamere. Tuttavia, questi sensori sonospesso rifiutati dal paziente a causa della loro natura invasiva. Gli approcci alternativi richiedono l’uso di sensori integrati nella persona (GPS, bracciali elettronici o chipRFID...), e la loro rilevanza è quindi ridotta all’ipotesi che le persone li indossino effettivamente, senza mai rifiutarli o dimenticarli.Per questi motivi, in questa tesi, troviamo approcci più rilevanti basati esclusivamente sull’uso di sensori binari integrati nell’habitat, come rilevatori di movimento,tappeti sensoriali o barriere fotoelettriche.In tale contesto tecnologico, diventa interessante utilizzare i paradigmi, i modelli egli strumenti dei sistemi ad eventi discreti (SED), inizialmente sviluppati per la modellazione, l’analisi e il controllo di sistemi industriali complessi.In questo lavoro di tesi, l’obiettivo è quello di presentare un metodo per la modellazione e il monitoraggio delle abitudini di vita, basato sui modelli e paradigmi di SEDe rispondendo ad un problema che si esprime come segue : L’obiettivo è quello di sviluppare un quadro globale per rivelare e riconoscere le attività della vita quotidiana di una persona che abita da sola in una smart home chedovrebbe essere dotata solo di sensori binari. Inoltre si suppone che non sia necessarial’etichettatura delle attività osservate da parte di un esperto e tali attività sono rappresentate da modelli probabilistici.Il primo metodo presentato in questa tesi permette di costruire un modello probabilistico di automa a stati finiti (PFA) ottenuto da un database di apprendimento e unadescrizione delle attività da parte di medici. Il secondo metodo sviluppato in questa tesi stima, alla luce delle osservazioni, qualeattività svolge la persona osservata. I metodi descritti sono illustrati utilizzando dati generati localmente attraverso l’usodi un appartamento messo a disposizione da ENS Paris-Saclay e attrezzato per soddisfarele esigenze sperimentali di questa tesi
Li, Yunjie. "Applying Data Mining Techniques on Continuous Sensed Data : For daily living activity recognition". Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-23424.
Pełny tekst źródłaPeng, Yingli. "Improvement of Data Mining Methods on Falling Detection and Daily Activities Recognition". Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-25521.
Pełny tekst źródłaBall, Stephen. "Investigating telemonitoring technologies for the detection of activities and the application of BLE in smart homes for elderly independent living". Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/123510/1/Stephen%20Ball%20Thesis.pdf.
Pełny tekst źródłaZaineb, Liouane. "Services e-santé basés sur la reconnaissance et la prédiction des activités quotidiennes dans les espaces intelligents". Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S109.
Pełny tekst źródłaAdvances in sensor technology and their availability have measured various properties and activities of residents in a smart home. However, obtaining significant knowledge from a large amount of information collected from a sensor network is not a simple task. Due to the complexity of the behavior of the inhabitants, the extraction of meaningful information and the accurate prediction of values representing the future activities of an occupant are research challenges. The main objective of our thesis work is to ensure an efficient analysis of data collected from occupancy sensors in a smart home. In this regard, this work is based on the recognition and evaluation of the daily activities of an elderly person in order to observe, predict and monitor the evolution of his state of dependence, health and to detect by the same occasion, the presence of a loss or a disruption of autonomy in real time
El, Khadiri Yassine. "Inférence bayésienne pour la détection des activités de la vie quotidienne pour faciliter le maintien à domicile des personnes âgées". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0251.
Pełny tekst źródłaThe increase of the senior population constitutes a major public health issue. The demographic share of the elderly is ever more growing thanks to the progress and advances in medicine and our health care systems. However, with the aging of this population comes a plethora of dependency problems, and this, of course, exponentially.Retirement homes are an expensive and not very popular solution. As a result, we are seeing a surge in home assisted living solutions in the recent years.This topic is in the crossroads between sensor technologies, data transmission, assistance to elderly people and activity monitoring.This thesis explores the application of data analysis algorithms for activity monitoring of elderly people at home. The idea is that with day-to-day monitoring of residents it is possible to infer their autonomy and capacity to perform day-to-day tasks. It also allows caregivers to intervene in cases where the start of some degradation is detected.We explored and adapted some Bayesian inference and time series segmentation methods for activity recognition. And then, we proposed a visualization tool to facilitate the detection of anomalies or changes in everyday habits.This work is part of a CIFRE thesis. The methods and algorithms presented have been put into production and are packaged into Diatelic's the assisted living commercial solution
Burgio, Francesca. "Numerical Activities of Daily Living (NADL) and Numerical Activities of Daily Living - Financial (NADL-F) in Neurological Diseases". Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3422287.
Pełny tekst źródłaQual'è l'impatto dell'acalculia sulla vita quotidiana? Nella pratica clinica, solo pochi strumenti sono disponibili. In queste batterie, oltretutto, le abilità numeriche non vengono distinte dalle altre abilità della vita quotidiana. Di conseguenza non vi è alcuno strumento che possa misurare l'impatto della acalculia nella vita quotidiana. Il primo obiettivo di questa serie di studi è stato dunque quello di costruire e validare uno strumento, il Numerical Activities of Daily Living (NADL), per misurare questo impatto. La prima sezione della tesi descrive le proprietà psicometriche del test NADL ed in particolar modo, vengono esplorati diversi profili di errori specifici per ogni singola patologia neurologica considerata ad esempio nei pazienti con neurofibromatosi e nei pazienti con lesione emisferica destra. Un ulteriore sviluppo del NADL (NADL-Children) è stato costruito al fine di valutare le abilità numeriche della vita quotidiana nei bambini. Nella seconda sezione viene approfondito un particolare aspetto delle attività di vita quotidiana in cui l'uso dei numeri è essenziale, l'uso del denaro. La perdita della capacità finanziaria può avere delle serie implicazioni sul piano legale ed economico oltre che personale. Abbiamo dunque creato uno strumento specificatamente pensato per questo fine (Numerical Activities of Daily Living - Financial; NADL-F). Il secondo obiettivo della tesi è stato quello di validare lo strumento per poterlo rendere diponibile in Italia e applicarlo a differenti popolazioni cliniche. Abbiamo inoltre esplorato le differenze nei domini numerici e finanziari sia in soggetti di controllo sani che in pazienti con deterioramento cognitivo lieve utilizzando sia il NADL che il NADL-F. I domini cognitivi che sono risultati essere implicati nel deficit potrebbero essere l'obiettivo di futuri interventi riabilitativi di studi successivi che hanno come obiettivo quello di preservare l'indipendenza funzionale e l'autonomia dei pazienti con deterioramento cognitivo lieve. Infine, abbiamo correlato la performance sia al NADL che al NADL-F con le differenze volumetriche cerebrali associate sia nei pazienti che nei controlli. Lo studio dei correlati neurali delle abilità numeriche e finanziarie ci aiuterà a fare maggiore chiarezza nello studio di queste funzioni di alto livello. Inoltre gli studi di neuroimmagine potranno chiarire le aree cerebrali legate alla performance in questi compiti che saranno utili per trovare dei predittori del declino nel corso del tempo di queste capacità.
Jackson, Lauren Innes. "Depression, Activities of Daily Living, and Retirement". Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5220/.
Pełny tekst źródłaCheng, Pei Lai. "Biomechanical study of upper limb activities of daily living". Thesis, University of Strathclyde, 1996. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=20389.
Pełny tekst źródłaKsiążki na temat "Activities of daily living recognition"
Pecchia, Leandro, Liming Luke Chen, Chris Nugent i José Bravo, red. Ambient Assisted Living and Daily Activities. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13105-4.
Pełny tekst źródłaHolland, Audrey L. CADL-2 communication activities of daily living: Examiner's manual. Wyd. 2. Austin, Tex: pro-ed, 1999.
Znajdź pełny tekst źródłaStudy Group on Transcultural Rehabilitation Medicine., red. A guide to ADL: (the activities of daily living). Delft: Eburon, 1993.
Znajdź pełny tekst źródłaP, LaPlante Mitchell, Kaye H. Stephen, National Institute on Disability and Rehabilitation Research (U.S.) i Educational Resources Information Center (U.S.), red. Need for assistance in the activities of daily living. [Washington, DC: U.S. Dept. of Education, National Institute on Disability and Rehabilitation Research], 1997.
Znajdź pełny tekst źródłaCedar, S. H. Biology for health: Applying the activities of daily living. Houndsmills, Basingstoke: Palgrave Macmillan, 2012.
Znajdź pełny tekst źródłaMunro, Kate. Independent living. Edinburgh: Churchill Livingstone, 1992.
Znajdź pełny tekst źródłaHenriksson, Chris. Living with fibromyalgia: A study of the consequences for daily activities. Linko ping, Sweden: Dept. of Caring Sciences & Dept. of Rheumatology, Faculty of Health Sciences, Linko ping University, 1995.
Znajdź pełny tekst źródłaKennedy, Jae. A Profile of adults needing assistance with activities of daily living, 1991-1992. Washington, D.C: U.S. Dept. of Education, Office of Special Education and Rehabilitative Services, 1997.
Znajdź pełny tekst źródłaKennedy, Jae. A profile of adults needing assistance with activities of daily living, 1991-1992. [Washington, D.C.]: U.S. Dept. of Education, Office of Special Education and Rehabilitative Services, National Institute on Disability and Rehabilitation Research, 1997.
Znajdź pełny tekst źródłaÁrnadóttir, Guðrún. The brain and behavior: Assessing cortical dysfunction through activities of daily living (ADL). St. Louis: Mosby, 1990.
Znajdź pełny tekst źródłaCzęści książek na temat "Activities of daily living recognition"
Alam, Md Jahangir, Yazid Attabi, Patrick Kenny, Pierre Dumouchel i Douglas O’Shaughnessy. "Automatic Emotion Recognition from Cochlear Implant-Like Spectrally Reduced Speech". W Ambient Assisted Living and Daily Activities, 332–40. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13105-4_48.
Pełny tekst źródłaCartas, Alejandro, Juan Marín, Petia Radeva i Mariella Dimiccoli. "Recognizing Activities of Daily Living from Egocentric Images". W Pattern Recognition and Image Analysis, 87–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58838-4_10.
Pełny tekst źródłaArias Tapia, Susana A., Sylvie Ratté, Héctor F. Gómez A., Alexandra González Eras, José Barbosa, Juan Carlos Torres, Ruth Reátegui Rojas i in. "First Contribution to Complex Emotion Recognition in Patients with Alzheimer’s Disease". W Ambient Assisted Living and Daily Activities, 341–47. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13105-4_49.
Pełny tekst źródłaSynnott, Jonathan, Chris Nugent i Paul Jeffers. "A Thermal Data Simulation Tool for the Testing of Novel Approaches to Activity Recognition". W Ambient Assisted Living and Daily Activities, 10–13. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13105-4_2.
Pełny tekst źródłaSiddiqi, Muhammad Hameed, Rahman Ali, Byeong Ho Kang i Sungyoung Lee. "A New Feature Extraction Technique for Human Facial Expression Recognition Systems Using Depth Camera". W Ambient Assisted Living and Daily Activities, 131–38. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13105-4_21.
Pełny tekst źródłaLozano-Monasor, Elena, María T. López, Antonio Fernández-Caballero i Francisco Vigo-Bustos. "Facial Expression Recognition from Webcam Based on Active Shape Models and Support Vector Machines". W Ambient Assisted Living and Daily Activities, 147–54. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13105-4_23.
Pełny tekst źródłaGu, Feng, Francisco Flórez-Revuelta, Dorothy Monekosso i Paolo Remagnino. "A Multiple Kernel Learning Based Fusion Framework for Real-Time Multi-View Action Recognition". W Ambient Assisted Living and Daily Activities, 26–33. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13105-4_5.
Pełny tekst źródłaLiouane, Zaineb, Tayeb Lemlouma, Philippe Roose, Fréderic Weis i Hassani Messaoud. "An Improved Elman Neural Network for Daily Living Activities Recognition". W Advances in Intelligent Systems and Computing, 697–707. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53480-0_69.
Pełny tekst źródłaBanos, Oresti, Miguel Damas, Hector Pomares i Ignacio Rojas. "Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier". W Advances in Computational Intelligence, 185–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21498-1_24.
Pełny tekst źródłaPires, Ivan Miguel, Gonçalo Marques, Nuno M. Garcia, Francisco Flórez-Revuelta, Maria Canavarro Teixeira, Eftim Zdravevski i Susanna Spinsante. "Recognition of Activities of Daily Living Based on a Mobile Data Source Framework". W Bio-inspired Neurocomputing, 321–35. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5495-7_18.
Pełny tekst źródłaStreszczenia konferencji na temat "Activities of daily living recognition"
Avgerinakis, K., A. Briassouli i I. Kompatsiaris. "Recognition of Activities of Daily Living". W 2012 IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI 2012). IEEE, 2012. http://dx.doi.org/10.1109/ictai.2012.181.
Pełny tekst źródłaBergeron, Frederic, Sylvain Giroux, Kevin Bouchard i Sebastien Gaboury. "RFID based activities of daily living recognition". W 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2017. http://dx.doi.org/10.1109/uic-atc.2017.8397548.
Pełny tekst źródłaPoularakis, Stergios, Konstantinos Avgerinakis, Alexia Briassouli i Ioannis Kompatsiaris. "Computationally efficient recognition of activities of daily living". W 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7350797.
Pełny tekst źródłaBergeron, Frédéric, Kevin Bouchard, Sylvain Giroux, Sébastien Gaboury i Bruno Bouchard. "Real-Time Constraints for Activities of Daily Living Recognition". W PETRA '16: 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2910674.2935840.
Pełny tekst źródłaLiouane, Zaineb, Tayeb Lemlouma, Philippe Roose, Fréderic Weis i Hassani Messaoud. "A Markovian-based Approach for Daily Living Activities Recognition". W 5th International Conference on Sensor Networks. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005809502140219.
Pełny tekst źródłaNegrete Ramírez, José Manuel, i Yudith Cardinale. "Activities of Daily Living Detection on Healthcare: A Categorization". W iWOAR '22: 7th international Workshop on Sensor-based Activity Recognition and Artificial Intelligence. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3558884.3558887.
Pełny tekst źródłaMasciadri, Andrea, Sara Comai i Fabio Salice. "SMARE: Semi-supervised Method for Activities of daily living REcognition". W 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2019. http://dx.doi.org/10.1109/smc.2019.8914279.
Pełny tekst źródłaDas, Srijan, Monique Thonnat i Francois Bremond. "Looking deeper into Time for Activities of Daily Living Recognition". W 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2020. http://dx.doi.org/10.1109/wacv45572.2020.9093575.
Pełny tekst źródłaChinpanthana, Nutchanun, i Yunyu Liu. "Human Activities of Daily Living Recognition with Graph Convolutional Network". W ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3404555.3404557.
Pełny tekst źródłaLi, Jiawei, Shu-Tao Xia i Qianggang Ding. "Multi-level Recognition on Falls from Activities of Daily Living". W ICMR '20: International Conference on Multimedia Retrieval. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3372278.3390702.
Pełny tekst źródłaRaporty organizacyjne na temat "Activities of daily living recognition"
Bu, Qingguo, Wenqi Yu, Hongzhen Lian, Lei Zhang, Dandan Wang i Xueping Wu. Effect of Exercise Intervention on the Activities of Daily Living of the Elderly: A Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, kwiecień 2021. http://dx.doi.org/10.37766/inplasy2021.4.0136.
Pełny tekst źródłaFlores-Bello, Cristina, Elsa Correa-Muñoz, Martha Asunción Sánchez-Rodríguez i Víctor Manuel Mendoza-Núñez. Effect of self-care programs on functional capacity and wellbeing in community-dwelling older adults. A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, maj 2023. http://dx.doi.org/10.37766/inplasy2023.5.0053.
Pełny tekst źródłaInoue, Nozomu. Prediction of Pathologic Fracture Risk in Activities of Daily Living and Rehabilitation of Patients with Metastatic Breast Carcinoma of the Pelvis and Femur. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2001. http://dx.doi.org/10.21236/ada398168.
Pełny tekst źródłaInoue, Nozomu. Prediction of Pathologic Fracture Risk in Activities of Daily Living and Rehabilitation of Patients With Metastatic Breast Carcinoma of the Pelvis and Femur. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2002. http://dx.doi.org/10.21236/ada408690.
Pełny tekst źródłaInoue, Nozomu. Prediction of Pathologic Fracture Risk in Activities of Daily Living and Rehabilitation of Patients with Metastatic Breast Carcinoma of the Pelvis and Femur. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2000. http://dx.doi.org/10.21236/ada390912.
Pełny tekst źródłaJiang, Jieting, Xinyu Li, Wang Hui, Huang Lan i Caiqin Wu. The effect of computerized cognitive training on improving the cognitive impairment and the activities of daily living in patients with post-stroke cognitive impairment. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, marzec 2021. http://dx.doi.org/10.37766/inplasy2021.3.0059.
Pełny tekst źródłaZhuo, Yue, i Hong Zhang. Different Acupuncture Intervention Time-points for Improving Capacity in Motor Function and Activities of Daily Living after Stroke: A Systematic Review and Network Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, grudzień 2020. http://dx.doi.org/10.37766/inplasy2020.12.0060.
Pełny tekst źródłaWU, Jingyi, Jiaqi LI, Ananda Sidarta i Patrick Wai Hang Kwong. Neural mechanisms of bimanual coordination in humans and application of neuromodulation therapy: a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, maj 2023. http://dx.doi.org/10.37766/inplasy2023.5.0080.
Pełny tekst źródłaLi, Ruo-wei, Yuan Xia, Yong-jie Li, Yue Lu i Sheng Hu. Efficacy evaluation of different stimulation types with transcranial direct current stimulation on upper limb motor function and activities of daily living in patients after stroke: A network Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, grudzień 2020. http://dx.doi.org/10.37766/inplasy2020.12.0021.
Pełny tekst źródłaNguyen, Brenda, Ayesha Raza, Sara Abdullah, Antonia Giannarakos, Ian Zenlea i Cilia Mejia-Lancheros. The Role of Occupational Therapy in Improving Participation in Activities of Daily Living (Self-Care, Leisure, Productivity) for Adolescents Aged 10-19 with Type 1 Diabetes: A Scoping Review Protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, kwiecień 2024. http://dx.doi.org/10.37766/inplasy2024.4.0011.
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