Activity detection through close-to-body and ambient sensors - Generation of data sets for empirical validation with neurological patients

Activity detection through close-to-body and ambient sensors - Generation of data sets for empirical validation with neurological patients - SensorSKBA

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00017230

Enrollment

Registered

2019-05-03

Start date

2019-05-27

Completion date

Unknown

Last updated

2025-04-07

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

Conditions

Traumatic brain injury, stroke (ischemic or hemorrhagic) or hypoxic brain damage, critical illness polyneuropathy (CIP) and myopathy (CIM), Alzheimers disease, Parkinson's disease, incomplete paraplegia Healthy volunteers I64

Interventions

Group 1: persons with neurological illness who have been hospitalized at Schön Klinik Bad Aibling Each participant goes through the same measurements (activities of daily living ADL): Description of

Eligibility

Sex/Gender

All

Age

65 Years to No maximum

Inclusion criteria

Inclusion criteria: • Age = 65 years • Obtained walking ability (with / without aids) • Got speech understanding Additional criteria for patients: • Neurologically sick persons who have been hospitalized at Schön Klinik Bad Aibling, for example with the following diagnosis: traumatic brain injury, stroke (ischemic or haemorrhagic) or hypoxic brain damage, critical illness polyneuropathy (CIP) and myopathy (CIM), Alzheimer's, Parkinson's, incomplete paraplegia. • Full score Barthel Index (excluding items 5,6,10; stool and urinary incontinence, climbing stairs) o To characterize the patients, this widespread assessment is used (Mahoney and Barthel, 1965); it serves the evaluation of everyday abilities and the need for care or independence of the patients. • Bogenhausen Dysphagia Score 2 (oral nutrition) =6 o Bogenhausen Dysphagia Scales (BODS1 and BODS2) (Bartolome 2010)

Exclusion criteria

Exclusion criteria: Unstable cardiac arrhythmia • Heart Pacemaker • continuous oxygen demand • Uncontrolled other medical problems (cardiovascular disease, severe rheumatoid arthritis, arthritic joint deformities, acute cancers, kidney disease, any form of pulmonary or cardiovascular disease in the final stage, untreated epilepsy). • Heavy florid alcohol or drug abuse

Design outcomes

Primary

Measure	Time frame
Generation of a first database for the classification of activities and generation of a machine-learning algorithm of data from neurological patients (65+) of the Schön Klinik Bad Aibling	—

Secondary

Measure	Time frame
Recording the affinity of technology and the sense of comfort during the measurements via questionnaire.	—

Countries

Germany

Contacts

Public ContactBarbara Schäpers

Schoen Klinik Bad Aibling SE & Co. KG

bschaepers@schoen-klinik.de+49 (0) 8061-903-1952

Outcome results

None listed

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