1. [PDF] Delft University of Technology The Privatisation of a National Project ...
The Privatisation of a National Project. The settlements along the trans-Israel Highway since 1977. Schwake, G. DOI. 10.7480/abe.2020.14. Publication date.
2. [PDF] The modular security toolbox - Research Explorer
Disclaimer/Complaints regulations. If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please.
3. [PDF] JDC Annual Report 2015-2016 - AWS
The Jews we aid in Ukraine comprise more than half of the 122,729 needy elderly and 19,620 impoverished children and families living throughout the former.
4. A First Methodological Development and Validation of ReTap: An Open ...
We developed and validated ReTap, an open-source tool for the automated prediction of finger tapping scores.
Bradykinesia is a cardinal hallmark of Parkinson’s disease (PD). Improvement in bradykinesia is an important signature of effective treatment. Finger tapping is commonly used to index bradykinesia, albeit these approaches largely rely on subjective ...
5. [PDF] SCIENTIFIC REPORT 2016-2017
Citizen preferences towards basic income policy: an experimental approach. Basic Income Earth Network (BIEN) Annual Conference, Lisboa, Portu- gal ...
6. Publications Archive | McRoberts - Moving technology
This study aimed to assess the number of measurement days needed to reliably measure Physical activity (PA), sleep and sedentary time (SST).
Fien Hermans, Eva Arents, Astrid Blondeel, Wim Janssens, Nina Cardinaels, Patrick Calders, Thierry Troosters, Eric Derom & Heleen Demeyer Nov 2024
7. [PDF] Development of machine learning: derived mhealth composite ...
Disorders that are affected by the Central Nervous System (cns), such as. Parkinson's Disease (pD) and Alzheimer's Disease (aD), have a significant.
8. Real-World Gait Detection Using a Wrist-Worn Inertial Sensor
1 mei 2024 · It is worth noting that the ... 2016;2016; Heidelberg, Germany. [CrossRef]; Keren K, Busse M, Fritz NE, Muratori LM, Gazit E, Hillel I, et al.
Background: Wrist-worn inertial sensors are used in digital health for evaluating mobility in real-world environments. Preceding the estimation of spatiotemporal gait parameters within long-term recordings, gait detection is an important step to identify regions of interest where gait occurs, which requires robust algorithms due to the complexity of arm movements. While algorithms exist for other sensor positions, a comparative validation of algorithms applied to the wrist position on real-world data sets across different disease populations is missing. Furthermore, gait detection performance differences between the wrist and lower back position have not yet been explored but could yield valuable information regarding sensor position choice in clinical studies. Objective: The aim of this study was to validate gait sequence (GS) detection algorithms developed for the wrist position against reference data acquired in a real-world context. In addition, this study aimed to compare the performance of algorithms applied to the wrist position to those applied to lower back–worn inertial sensors. Methods: Participants with Parkinson disease, multiple sclerosis, proximal femoral fracture (hip fracture recovery), chronic obstructive pulmonary disease, and congestive heart failure and healthy older adults (N=83) were monitored for 2.5 hours in the real-world using inertial sensors on the wrist, lower back, and feet including pressure insoles and infrared distance sensors as reference. I...
9. Overview of Legal Research in Israel - GlobaLex
Unofficial compilations of laws and regulations, as well as online databases are listed in the Resources section, para. 8. 3.2.2. Case Law. The historical ...
GlobaLex is an open-access electronic legal publication dedicated to international, comparative, and foreign law research.
10. Publications - Joulus Gazit & Co.
A real tax reform would have to tackle the black money problem in order to expand the tax base rather than issue a series of decrees which raise the tax burden ...
11. A wearable sensor and machine learning estimate step length in ...
25 mei 2024 · Hillel I, et al. Is every-day walking in older adults more analogous ... 2016;5:199–206. doi: 10.3233/JHD-160197. [DOI] [PubMed] ...
Step length is an important diagnostic and prognostic measure of health and disease. Wearable devices can estimate step length continuously (e.g., in clinic or real-world settings), however, the accuracy of current estimation methods is not yet ...
12. Staff Profile | NUAcT (NU Academic Track Fellowships) | Newcastle ...
Winner of the Institution of Engineering and Technology (IET) Travel Award (£500). 2016 ... Hillel I, Gazit E, Nieuwboer A, Avanzino L, Rochester L, Cereatti A, ...
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