TY  - JOUR
A1  - Seiffert, Martin
A1  - Holstein, Flavio
A1  - Schlosser, Rainer
A1  - Schiller, Jochen
T1  - Next generation cooperative wearables
BT  - generalized activity assessment computed fully distributed with in a wireless body area network
JF  - IEEE access : practical research, open solutions
N2  - Currently available wearables are usually based on a single sensor node with integrated capabilities for classifying different activities. The next generation of cooperative wearables could be able to identify not only activities, but also to evaluate them qualitatively using the data of several sensor nodes attached to the body, to provide detailed feedback for the improvement of the execution. Especially within the application domains of sports and health-care, such immediate feedback to the execution of body movements is crucial for (re-) learning and improving motor skills. To enable such systems for a broad range of activities, generalized approaches for human motion assessment within sensor networks are required. In this paper, we present a generalized trainable activity assessment chain (AAC) for the online assessment of periodic human activity within a wireless body area network. AAC evaluates the execution of separate movements of a prior trained activity on a fine-grained quality scale. We connect qualitative assessment with human knowledge by projecting the AAC on the hierarchical decomposition of motion performed by the human body as well as establishing the assessment on a kinematic evaluation of biomechanically distinct motion fragments. We evaluate AAC in a real-world setting and show that AAC successfully delimits the movements of correctly performed activity from faulty executions and provides detailed reasons for the activity assessment.
KW  - Body sensor networks
KW  - distributed computing
KW  - motion analysis
KW  - physical activity assessment
KW  - biomechanics
KW  - multilevel systems
Y1  - 2017
U6  - https://doi.org/10.1109/ACCESS.2017.2749005
SN  - 2169-3536
VL  - 5
SP  - 16793
EP  - 16807
PB  - Institute of Electrical and Electronics Engineers
CY  - Piscataway
ER  - 
TY  - JOUR
A1  - Haupt, T.
A1  - Wolschke, M.
A1  - Rabe, Sophie
A1  - Scholz, I.
A1  - Smurawski, A.
A1  - Salzwedel, Annett
A1  - Thomas, F.
A1  - Reich, H.
A1  - Völler, Heinz
A1  - Liebach, J.
A1  - Eichler, Sarah
T1  - ReMove-It – Entwicklung einer telemedizinisch assistierten Bewegungstherapie für die Rehabilitation nach Intervention an der unteren Extremität
T1  - ReMove-It - Development of telemedicine assisted Movement Therapy for Rehabilitation after lower Extremity Intervention
JF  - B&G Bewegungstherapie und Gesundheitssport
N2  - Knie- und Hüftgelenksarthrose zählen zu den zehn häufigsten Einzeldiagnosen in orthopädischen Praxen. Die Wirksamkeit einer stationären Rehabilitation für Patienten nach Knie- oder Hüft-Totalendoprothese (TEP) ist in mehreren Studien belegt. Dennoch stellt die mittel- und langfristige Nachhaltigkeit zum Erhalt des Therapieerfolges eine große Herausforderung dar. Das Ziel des Projekts ReMove-It ist es, einen Wirksamkeitsnachweis für eintelemedizinisch assistiertes Interventionstraining für Patienten nach einem operativen Eingriff an den unteren Extremitäten zu erbringen.

In dem Beitrag wird anhand von Erfahrungsberichten dargestellt, wie das interaktive Übungsprogramm für Knie- und Hüft-TEP-Patienten entwickelt und das telemedizinische Assistenzsystem MeineReha® in den Behandlungsalltag von drei Rehakliniken integriert wurde. Ebenso werden der Aufbau und Ablauf der klinischen Studie dargestellt und das System aus Sicht der beteiligten Ärzte, und Therapeuten bewertet.
N2  - Knee and hip joint arthrosis are among the ten most common diagnoses in orthopedic clinics. The effectiveness of inpatient rehabilitation after a total knee or hip replacement has been documented by numerous studies. However, the mid-term and long-term sustainability of a therapeutic success poses a big challenge. The aim of the project ReMove-is to provide a proof of concept for telemedical assisted intervention training for patients after an operation to their lower extremities. This article, based on testimonies, describes how the interactive exercise program for total knee and hip replacement patients was developed and how the telemedical assistance system MeineReha (R) is integrated into the day-to-day treatment of rehabilitation clinics. Similarly, the composition and execution of the clinical study is described and the system evaluated from the view of doctors and therapists.
KW  - Computer-assisted home training
KW  - simplicity
KW  - patient-friendly operation system
KW  - direct feedback
KW  - motion analysis
KW  - communication
KW  - supervising therapist
KW  - rehabilitation
KW  - temporal and spatial independence (flexibility)
KW  - high self-motivation
Y1  - 2017
U6  - https://doi.org/10.1055/s-0043-118139
SN  - 1613-0863
SN  - 1613-3269
VL  - 33
IS  - 5
SP  - 221
EP  - 226
PB  - Thieme
CY  - Stuttgart
ER  -