@article{HenschkeKaplickWochatzetal.2022,
  author    = {Henschke, Jakob and Kaplick, Hannes and Wochatz, Monique and Engel, Tilman},
  title     = {Assessing the validity of inertial measurement units for shoulder kinematics using a commercial sensor-software system},
  series = {Health science reports},
  volume    = {5},
  journal   = {Health science reports},
  number    = {5},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {2398-8835},
  doi       = {10.1002/hsr2.772},
  pages     = {1 -- 11},
  year      = {2022},
  abstract  = {Background and Aims Wearable inertial sensors may offer additional kinematic parameters of the shoulder compared to traditional instruments such as goniometers when elaborate and time-consuming data processing procedures are undertaken. However, in clinical practice simple-real time motion analysis is required to improve clinical reasoning. Therefore, the aim was to assess the criterion validity between a portable "off-the-shelf" sensor-software system (IMU) and optical motion (Mocap) for measuring kinematic parameters during active shoulder movements. Methods 24 healthy participants (9 female, 15 male, age 29 +/- 4 years, height 177 +/- 11 cm, weight 73 +/- 14 kg) were included. Range of motion (ROM), total range of motion (TROM), peak and mean angular velocity of both systems were assessed during simple (abduction/adduction, horizontal flexion/horizontal extension, vertical flexion/extension, and external/internal rotation) and complex shoulder movements. Criterion validity was determined using intraclass-correlation coefficients (ICC), root mean square error (RMSE) and Bland and Altmann analysis (bias; upper and lower limits of agreement). Results ROM and TROM analysis revealed inconsistent validity during simple (ICC: 0.040-0.733, RMSE: 9.7 degrees-20.3 degrees, bias: 1.2 degrees-50.7 degrees) and insufficient agreement during complex shoulder movements (ICC: 0.104-0.453, RMSE: 10.1 degrees-23.3 degrees, bias: 1.0 degrees-55.9 degrees). Peak angular velocity (ICC: 0.202-0.865, RMSE: 14.6 degrees/s-26.7 degrees/s, bias: 10.2 degrees/s-29.9 degrees/s) and mean angular velocity (ICC: 0.019-0.786, RMSE:6.1 degrees/s-34.2 degrees/s, bias: 1.6 degrees/s-27.8 degrees/s) were inconsistent. Conclusions The "off-the-shelf" sensor-software system showed overall insufficient agreement with the gold standard. Further development of commercial IMU-software-solutions may increase measurement accuracy and permit their integration into everyday clinical practice.},
  language  = {en}
}
@article{WochatzSchraplauEngeletal.2022,
  author    = {Wochatz, Monique and Schraplau, Anne and Engel, Tilman and Zecher, Mahli Megan and Sharon, Hadar and Alt, Yasmin and Mayer, Frank and Kalron, Alon},
  title     = {Application of eccentric training in various clinical populations},
  series = {PLoS ONE},
  volume    = {17},
  journal   = {PLoS ONE},
  number    = {12},
  publisher = {Public Library of Science},
  address   = {San Francisco, California, USA},
  issn      = {1932-6203},
  doi       = {10.1371/journal.pone.0270875},
  pages     = {15},
  year      = {2022},
  abstract  = {Physical activity and exercise are effective approaches in prevention and therapy of multiple diseases. Although the specific characteristics of lengthening contractions have the potential to be beneficial in many clinical conditions, eccentric training is not commonly used in clinical populations with metabolic, orthopaedic, or neurologic conditions. The purpose of this pilot study is to investigate the feasibility, functional benefits, and systemic responses of an eccentric exercise program focused on the trunk and lower extremities in people with low back pain (LBP) and multiple sclerosis (MS). A six-week eccentric training program with three weekly sessions is performed by people with LBP and MS. The program consists of ten exercises addressing strength of the trunk and lower extremities. The study follows a four-group design (N = 12 per group) in two study centers (Israel and Germany): three groups perform the eccentric training program: A) control group (healthy, asymptomatic); B) people with LBP; C) people with MS; group D (people with MS) receives standard care physiotherapy. Baseline measurements are conducted before first training, post-measurement takes place after the last session both comprise blood sampling, self-reported questionnaires, mobility, balance, and strength testing. The feasibility of the eccentric training program will be evaluated using quantitative and qualitative measures related to the study process, compliance and adherence, safety, and overall program assessment. For preliminary assessment of potential intervention effects, surrogate parameters related to mobility, postural control, muscle strength and systemic effects are assessed. The presented study will add knowledge regarding safety, feasibility, and initial effects of eccentric training in people with orthopaedic and neurological conditions. The simple exercises, that are easily modifiable in complexity and intensity, are likely beneficial to other populations. Thus, multiple applications and implementation pathways for the herein presented training program are conceivable.},
  language  = {en}
}
@article{KuschelSonnenburgEngel2022,
  author    = {Kuschel, Luciano Bruno and Sonnenburg, Dominik and Engel, Tilman},
  title     = {Factors of muscle quality and determinants of muscle strength},
  series = {Healthcare},
  volume    = {10},
  journal   = {Healthcare},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2227-9032},
  doi       = {10.3390/healthcare10101937},
  pages     = {29},
  year      = {2022},
  abstract  = {Muscle quality defined as the ratio of muscle strength to muscle mass disregards underlying factors which influence muscle strength. The aim of this review was to investigate the relationship of phase angle (PhA), echo intensity (EI), muscular adipose tissue (MAT), muscle fiber type, fascicle pennation angle (θf), fascicle length (lf), muscle oxidative capacity, insulin sensitivity (IS), neuromuscular activation, and motor unit to muscle strength. PubMed search was performed in 2021. The inclusion criteria were: (i) original research, (ii) human participants, (iii) adults (≥18 years). Exclusion criteria were: (i) no full-text, (ii) non-English or -German language, (iii) pathologies. Forty-one studies were identified. Nine studies found a weak-moderate negative (range r: [-0.26]-[-0.656], p < 0.05) correlation between muscle strength and EI. Four studies found a weak-moderate positive correlation (range r: 0.177-0.696, p < 0.05) between muscle strength and PhA. Two studies found a moderate-strong negative correlation (range r: [-0.446]-[-0.87], p < 0.05) between muscle strength and MAT. Two studies found a weak-strong positive correlation (range r: 0.28-0.907, p < 0.05) between θf and muscle strength. Muscle oxidative capacity was found to be a predictor of muscle strength. This review highlights that the current definition of muscle quality should be expanded upon as to encompass all possible factors of muscle quality.},
  language  = {en}
}