Movement Patterns in Hand Motion from Empathokinesthetic Sensor Data as a Diagnostic Parameter for Disease Activity in Patients with Rheumatic Disease (Subproject D01 -CRC EmpkinS)

Movement Patterns in Hand Motion from Empathokinesthetic Sensor Data as a Diagnostic Parameter for Disease Activity in Patients with Rheumatic Disease (Subproject D01 -CRC EmpkinS) - EmpkinS (TP D01 – CRC EmpkinS)

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00032490

Enrollment

625

Registered

2023-10-06

Start date

2020-10-01

Completion date

Unknown

Last updated

2026-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

rheumatoid arthritis (RA), psoriatic arthritis (PsA)

Interventions

Group 1: healthy controls. In healthy individuals hand function is assessed using questionnaires, clinical methods (grip strength, finger strength, fine motor skills), and optical measurement techniqu

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Patient cohort: Inclusion criteria: respective RA or PsA according to standard clinical criteria. Control group (healthy): Inclusion criteria: no diagnosed musculoskeletal disease

Exclusion criteria

Exclusion criteria: Common exclusion criteria for patient and control group: - Bone fractures of the hand and/or finger joints in the last 5 years. - Comorbidities affecting the morphology and function of the hand and finder joints. - Age < 18 years

Design outcomes

Primary

Measure	Time frame
Movement patterns of the hand and during walking using marker-based movement analysis, radar, radio tracking, body shell camera and EMG (electromyography) radio transponder (joint angles, movement speeds, joint forces, muscle activity), isometric grip strength (N), hand function (score: Moberg Picking up Test, Michigan Hand Questionnaire (MHQ), Disabilities of Arm, Shoulder and Hand (DASH Score), score for assessment and quantification of chronic rheumatic affections of the hands (SACRAH Score), presence of synovitis and tenosynovitis (by ultrasound: flexor tendons in B-mode and Doppler (Y/N) fingers 1-5; synovitis MCP 1-5 and wrists), muscle activity of finger and hand muscles (by EMG).	—

Measure

Time frame

Movement patterns of the hand and during walking using marker-based movement analysis, radar, radio tracking, body shell camera and EMG (electromyography) radio transponder (joint angles, movement speeds, joint forces, muscle activity), isometric grip strength (N), hand function (score: Moberg Picking up Test, Michigan Hand Questionnaire (MHQ), Disabilities of Arm, Shoulder and Hand (DASH Score), score for assessment and quantification of chronic rheumatic affections of the hands (SACRAH Score), presence of synovitis and tenosynovitis (by ultrasound: flexor tendons in B-mode and Doppler (Y/N) fingers 1-5; synovitis MCP 1-5 and wrists), muscle activity of finger and hand muscles (by EMG).

—

Secondary

Measure	Time frame
Patients: Retrospective from available clinical data: Relationship of the primary outcome measures to clinical routine of the corresponding rheumatic disease (e.g. joint status (swollen/painful joints), MASES, BASMI, routine laboratory parameters) as well as patients' well-being (e.g. SF-36, HAQ), exercise-related health literacy (PAHCO) and exercise anxiety (TSK). Morphology of the bone of the hand and finger joints (e.g. erosions and osteophytes (number, volume (mm³), position); bone density) based on available HR-pQCT and MRI images. Healthy study participants: Descriptive data will be collected via a survey of the study participants, such as fractures in the past, smoking status, menstrual history/menopause in women, medical history and dietary habits that could have an influence on bone/cartilage health (injuries, medications, supplements).	—

Measure

Time frame

Patients: Retrospective from available clinical data: Relationship of the primary outcome measures to clinical routine of the corresponding rheumatic disease (e.g. joint status (swollen/painful joints), MASES, BASMI, routine laboratory parameters) as well as patients' well-being (e.g. SF-36, HAQ), exercise-related health literacy (PAHCO) and exercise anxiety (TSK). Morphology of the bone of the hand and finger joints (e.g. erosions and osteophytes (number, volume (mm³), position); bone density) based on available HR-pQCT and MRI images. Healthy study participants: Descriptive data will be collected via a survey of the study participants, such as fractures in the past, smoking status, menstrual history/menopause in women, medical history and dietary habits that could have an influence on bone/cartilage health (injuries, medications, supplements).

—

Countries

Germany

Contacts

Public ContactAnna-Maria Liphardt

Universitätsklinikum Erlangen, Medizinische Klinik 3 - Rheumatologie & Immunologie, Studienambulanz

Anna-Maria.Liphardt@uk-erlangen.de+4991318543206

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Apr 4, 2026