(e-book) Rehabilitation Robotics (by Sashi S _部分12(5)

康复机器人相关的论文,拆分成了13份文档,都很不错的。

The ALLADIN Diagnostic Device:

An Innovative Platform for Assessing Post-Stroke Functional Recovery 545 The main menu (Figure 5), offers different functionalities, s uch opening a patient record, starting a new session of measurements, creating a new patient record, editing and creating an user's profile, synchronizing with the global DB, system settings adjustment and remote assistance.

Four different types of us ers were identified (ADD phys iotherapis t, Natural language physiotherapist, Principal Investigator and System administrator); for each user profile an access rights policy was defined.

Fig. 5. The Cover Application main window.

4. Results and discussion

Some preliminary res ults from a normal control s ubject and a pathological s ubject are here presented. The choice of the task and the sensors is based on the preliminary results of data mining algorithms applied to the pre-processed data (Van Djick et al. 2006). Let’s consider the task“Drinking” in a normal control (AHS-028, male, 45 years old, right dominant hand, measurement of the left side) and in a pathological subject (AHS-064, male, 43 years old, right dominant hand, right s ide of hemipares is, date of s troke 15/12/2005, meas urement on the right side), 25 days and 131 days following the stroke onset. The number of samples from force measurements shown in Figure 6-8 is 5400: as already stated, the sample frequency for data acqui ition i 100 Hz, therefore the ta k la t 5.4 econd. Figure 6 how the force measurements from the thumb in the normal control (top plot), in the hemiplegic patient, 25 days following the stroke onset (middle plot) and 131 days following the stroke onset.