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Research Papers

Task selection for a sensor-based, wearable, upper limb training device for stroke survivors: a multi-stage approach

ORCID Icon, , ORCID Icon, ORCID Icon, , , ORCID Icon & ORCID Icon show all
Pages 1480-1487 | Received 01 Sep 2021, Accepted 09 Apr 2022, Published online: 27 Apr 2022

Figures & data

Figure 1. M-MARK system including garment, sensors and user interface.

Photograph of a man sitting at his kitchen table with his hand resting on a table. He is wearing a black top which has small movement and muscle sensors attached on the chest, upper arm, forearm and wrist. On view on the table is a computer tablet running an App saying: “Welcome to M-MARK.” A cup is on the table ready to be picked up.
Figure 1. M-MARK system including garment, sensors and user interface.

Table 1. Categorization of arm and hand tasks with progressions based on the literature.

Table 2. Categorization of potential tasks suggested by stroke participants and carers during 1-to-1 interviews and by healthcare professionals in the focus groups.

Table 3. Final selection of tasks and their progressions used to populate the categorization matrix.

Table 4. The assessment tests and example tasks are classified by task category.

Supplemental material

Supplementary_data_tables_1_and_2.docx

Download MS Word (44.2 KB)