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The study is a single blind randomized controlled trial (RCT) designed to examine the benefit of a short arm human centrifuge intervention program (SAHC) combined with exercise, compared to a standard of care (SOC) rehabilitation program in physically impaired patients with MS, stroke, severe chronic obstructive pulmonary disease (COPD) and elderly people with balance and gait disorders (risk of falls).
The patients will be randomly assigned to the short arm human centrifuge training (SAHC intervention), standard of care (SOC training) or a passive control. The SAHC intervention consists of 3 sessions per week. The session duration is 1 hour. The intervention will last 3 months.
Aiming to estimate the minimum number of participants required for obtaining reliable results, the investigators performed power analysis. It was conducted in g-power 3.1 to determine a sufficient sample size using an alpha of 0.05, a power of 0.80, and a medium effect size (f = 0.21). Based on the aforementioned assumptions, a total sample size of 26 participants per group was computed.
The passive control group will abstain from any exercise. Initially, there will be one session serving as an evaluation and familiarization of the SAHC group participants on the centrifuge. Its aim besides familiarization will be also to individually assess the optimal according to the participant's cardiovascular functioning with cardiac output (CO), stroke volume (SV) mean arterial pressure (MAP) diastolic blood pressure (DBP), systolic blood pressure (SBP), and heart rate (HR). These criteria are monitored at each training session and are used to dynamically adapt the intervention intensity. More specifically, after 6 training sessions (2 weeks), the centrifugation load will be increased and considering the cardiovascular criteria, centrifugation will be combined with either aerobic exercise (through an ergometer) or resistance training through elastic training bands. Further verification of the dynamic configuration of the intervention will be provided by the electroencephalographic (EEG) assessment. More specifically, resting state EEG (eyes open & closed condition, lying in horizontal position) and centrifugation in three different intensities, mild (corresponding to 0.5,0.7, and 1 g), medium (corresponding to 1.2 and 1.5 g) and high intensity (corresponding to 1.7 and 2 g). Functional connectivity and cortical-network features derived from graph theory will be used by deep learning algorithms (convolutional neural networks) in order to define the optimal centrifuge training.
A set of core outcomes as described below will be collected at the following experimental time instances: a) baseline, b) after 4 weeks, c) 8 weeks, d) 3 months, e) 6-month follow-up, g) 12-month follow-up. The outcomes will be collected across the domains of body structure and function, activity, and participation as classified by the world health organization international classification of functioning (ICF), disability and health.
The primary outcomes are the following:
More primary outcomes include other measures of gaze and postural stability, fatigue, and functional mobility, isokinetic strength and muscle oxygen consumption. Additionally, a set of biomarkers in blood and urine will be collected.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| SHORT ARM HUMAN CENTRIFUGE | Experimental | SHORT ARM HUMAN CENTRIFUGE IN COMBINATION WITH EXERCISE INTERMITTENT CENTRIFUGATION TOTAL TIME 30 MINUTES |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ARTIFICIAL GRAVITY COMBINED WITH EXERCISE | Device | The passive control group will abstain from any exercise. Recordings of the participant's will include cardiovascular functioning cardiac output (CO), stroke volume (SV) mean arterial pressure (MAP) diastolic blood pressure (DBP), systolic blood pressure (SBP), and heart rate (HR), Electroencephalography ( EEG) as well as dynamic force and stance and muscle oxygenation. More specifically, after 6 training sessions (2 weeks), the centrifugation load will be increased and will be combined with either aerobic exercise (through an ergometer) or resistance training through elastic training bands. Functional connectivity and cortical-network features will be used by deep learning algorithms in order to define the optimal centrifuge training . |
| Measure | Description | Time Frame |
|---|---|---|
| Cardiovascular physiological parameter 1 cardiac output (CO) 1-standing | Cardiac output (CO) unit L/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes standing condition | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 1 cardiac output (CO) 2-lying | Cardiac output (CO) unit L/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes lying condition | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 1 cardiac output (CO) 3-mild intensity | Cardiac output (CO) unit L/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes mild intensity centrifugation condition | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 1 cardiac output (CO) 4-medium intensity | Cardiac output (CO) unit L/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes medium intensity centrifugation condition | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 1 cardiac output (CO) 5-high intensity | Cardiac output (CO) unit L/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes high intensity centrifugation condition | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 2, Stroke volume (SV) 1-standing |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| CHRYSOULA KOURTIDOU-PAPADELI | AeMC | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Euromedica-Arogi Rehabilitation Center | Thessaloniki | FW | 54210 | Greece |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 19048086 | Background | Vernikos J. Human exploration of space: why, where, what for? Hippokratia. 2008 Aug;12 Suppl 1(Suppl 1):6-9. | |
| 23079865 | Background | Hargens AR, Bhattacharya R, Schneider SM. Space physiology VI: exercise, artificial gravity, and countermeasure development for prolonged space flight. Eur J Appl Physiol. 2013 Sep;113(9):2183-92. doi: 10.1007/s00421-012-2523-5. Epub 2012 Oct 19. |
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| ID | Term |
|---|---|
| D009103 | Multiple Sclerosis |
| D020521 | Stroke |
| D029424 | Pulmonary Disease, Chronic Obstructive |
| ID | Term |
|---|---|
| D020278 | Demyelinating Autoimmune Diseases, CNS |
| D020274 | Autoimmune Diseases of the Nervous System |
| D009422 | Nervous System Diseases |
| D003711 | Demyelinating Diseases |
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Not provided
| ID | Term |
|---|---|
| D005081 | Exercise Therapy |
| D012046 | Rehabilitation |
| ID | Term |
|---|---|
| D000359 | Aftercare |
| D003266 | Continuity of Patient Care |
| D005791 | Patient Care |
| D013812 | Therapeutics |
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The use of a short arm human centrifuge intervention program (SAHC) combined with exercise, compared to a standard of care (SOC) rehabilitation program in physically impaired patients with MS, stroke, severe Chronic Obstructive Pulmonary Disease (COPD) and elderly people with balance and gait disorders (risk of falls). The patients will be randomly assigned to the centrifuge training (SAHC intervention), SOC training or a passive control group. The SAHC intervention consists of 3 sessions per week. The session duration is 1 hour. The intervention will last for 3 months.
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Stroke volume (SV) unit L/beat, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes standing position |
| The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 2, Stroke volume (SV) 2-lying | Stroke volume (SV) unit L/beat, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes lying position | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 2, Stroke volume (SV) 3-mild intensity | Stroke volume (SV) unit L/beat, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes centrifugation of mild intensity (from 0,5 g to 1 g | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 2, Stroke volume (SV) 4-medium intensity | Stroke volume (SV) unit L/beat, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes centrifugation of medium intensity (from 1,2g to1,5 g | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 2, Stroke volume (SV) 5-high intensity | Stroke volume (SV) unit L/beat, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes centrifugation of high intensity (from 1,7g to 2 g) | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 3, mean arterial pressure (MAP) 1-standing | Mean arterial pressure (MAP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger at standing position | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 3, mean arterial pressure (MAP) 2-lying | Mean arterial pressure (MAP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger at lying position | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 3, mean arterial pressure (MAP) 3-mild intensity | Mean arterial pressure (MAP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger after centrifugation with mild intensity (from 0,5 g to 1 g) | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 3, mean arterial pressure (MAP) 4-medium intensity | Mean arterial pressure (MAP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger after centrifugation with medium intensity (from 1,2g to1,5 g) | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 3, mean arterial pressure (MAP) 5-high intensity | Mean arterial pressure (MAP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger after centrifugation with high intensity (from 1,7g to 2 g). | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 4, diastolic blood pressure (DBP) 1-standing | Diastolic blood pressure (DBP) unit mmHg,measured by a non invasive tensortip device attached to the subject's finger after 5 minutes standing position | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 4, diastolic blood pressure (DBP) 2-lying | Diastolic blood pressure (DBP) unit mmHg,measured by a non invasive tensortip device attached to the subject's finger after 5 minutes lying position | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 4, diastolic blood pressure (DBP) 3-low intensity | Diastolic blood pressure (DBP) unit mmHg,measured by a non invasive tensortip device attached to the subject's finger after centrifugation of mild intensity (from 0,5 g to 1 g). | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 4, diastolic blood pressure (DBP) 4-medium intensity | Diastolic blood pressure (DBP) unit mmHg,measured by a non invasive tensortip device attached to the subject's finger after centrifugation with medium intensity (from 1,2g to1,5 g). | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 4, diastolic blood pressure (DBP) 5-high intensity | Diastolic blood pressure (DBP) unit mmHg,measured by a non invasive tensortip device attached to the subject's finger after centrifugation of high intensity (from 1,7g to 2 g). | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 5, systolic blood pressure (SBP) 1-standing | Systolic blood pressure (SBP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes at standing position | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 5, systolic blood pressure (SBP) 2;lying | Systolic blood pressure (SBP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes at lying position | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 5, systolic blood pressure (SBP) 3-mild intensity | Systolic blood pressure (SBP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes centrifugation with mild intensity (from 0,5 g to 1 g). | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 5, systolic blood pressure (SBP) 4-medium intensity | Systolic blood pressure (SBP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes centrifugation with medium intensity (from 1,2g to1,5 g) | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 5, systolic blood pressure (SBP) 5-high intensity | Systolic blood pressure (SBP) unit mmHg, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes centrifugation with high intensity (from 1,7g to 2 g) | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 6, heart rate (HR) 1-standing | Heart rate (HR) unit beats/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes at standing position | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 6, heart rate (HR) 2-lying | Heart rate (HR) unit beats/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes at lying position | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 6, heart rate (HR) 3-mild intensity | Heart rate (HR) unit beats/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes centrifugation of mild intensity (from 0,5 g to 1 g). | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 6, heart rate (HR) 4-medium intensity | Heart rate (HR) unit beats/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes centrifugation with medium intensity (from 1,2g to1,5 g). | The time frame will include: changes from baseline up to 6 months |
| Cardiovascular physiological parameter 6, heart rate (HR) 5-high intensity | Heart rate (HR) unit beats/min, measured by a non invasive tensortip device attached to the subject's finger after 5 minutes centrifugation of high intensity (from 1,7g to 2 g). | The time frame will include: changes from baseline up to 6 months |
| Electrical activity of the brain in alpha band, Electroencephalography (EEG)(μV) 1 | Recording of the brain's spontaneous electrical activity using multiple electrodes placed on the scalp with a conductive gel or paste, usually after preparing the scalp area by light abrasion to reduce impedance due to dead skin cells. Electrode locations and names are specified by the International 10-20 system.Each electrode is connected to one input of a differential amplifier, which amplifies the voltage between the active electrode and the reference (typically 1,000-100,000 times, or 60-100 dB of voltage gain) and the amplified signal is digitized via an analog-to-digital converter, after being passed through an anti-aliasing filter. Analog-to-digital sampling typically occurs at 256-512 Hz in clinical scalp EEG; sampling rates of up to 20 kHz will be used . The recording involves the subject with eyes open. | The time frame will include: changes from baseline up to 6 months |
| Electrical activity of the brain in alpha band, Electroencephalography (EEG)(μV) 2 | Recording of the brain's spontaneous electrical activity using multiple electrodes placed on the scalp with a conductive gel or paste, usually after preparing the scalp area by light abrasion to reduce impedance due to dead skin cells. Electrode locations and names are specified by the International 10-20 system.Each electrode is connected to one input of a differential amplifier, which amplifies the voltage between the active electrode and the reference (typically 1,000-100,000 times, or 60-100 dB of voltage gain) and the amplified signal is digitized via an analog-to-digital converter, after being passed through an anti-aliasing filter. Analog-to-digital sampling typically occurs at 256-512 Hz in clinical scalp EEG; sampling rates of up to 20 kHz will be used . The recording involves the subject with eyes closed. | The time frame will include: changes from baseline up to 6 months |
| Electrical activity of the brain in alpha band, Electroencephalography (EEG)(μV) 3 | Recording of the brain's spontaneous electrical activity using multiple electrodes placed on the scalp with a conductive gel or paste, usually after preparing the scalp area by light abrasion to reduce impedance due to dead skin cells. Electrode locations and names are specified by the International 10-20 system.Each electrode is connected to one input of a differential amplifier, which amplifies the voltage between the active electrode and the reference (typically 1,000-100,000 times, or 60-100 dB of voltage gain) and the amplified signal is digitized via an analog-to-digital converter, after being passed through an anti-aliasing filter. Analog-to-digital sampling typically occurs at 256-512 Hz in clinical scalp EEG; sampling rates of up to 20 kHz will be used . The recording involves the subject in standing position. | The time frame will include: changes from baseline up to 6 months |
| Electrical activity of the brain in alpha band, Electroencephalography (EEG)(μV) 4 | Recording of the brain's spontaneous electrical activity using multiple electrodes placed on the scalp with a conductive gel or paste, usually after preparing the scalp area by light abrasion to reduce impedance due to dead skin cells. Electrode locations and names are specified by the International 10-20 system.Each electrode is connected to one input of a differential amplifier, which amplifies the voltage between the active electrode and the reference (typically 1,000-100,000 times, or 60-100 dB of voltage gain) and the amplified signal is digitized via an analog-to-digital converter, after being passed through an anti-aliasing filter. Analog-to-digital sampling typically occurs at 256-512 Hz in clinical scalp EEG; sampling rates of up to 20 kHz will be used . The recording involves the subject in lying position. | The time frame will include: changes from baseline up to 6 months |
| Electrical activity of the brain in alpha band, Electroencephalography (EEG)(μV) 5 | Recording of the brain's spontaneous electrical activity using multiple electrodes placed on the scalp with a conductive gel or paste, usually after preparing the scalp area by light abrasion to reduce impedance due to dead skin cells. Electrode locations and names are specified by the International 10-20 system.Each electrode is connected to one input of a differential amplifier, which amplifies the voltage between the active electrode and the reference (typically 1,000-100,000 times, or 60-100 dB of voltage gain) and the amplified signal is digitized via an analog-to-digital converter, after being passed through an anti-aliasing filter. Analog-to-digital sampling typically occurs at 256-512 Hz in clinical scalp EEG; sampling rates of up to 20 kHz will be used . The recording involves the subject in centrifugation with mild intensity (from 0,5 g to 1 g). | The time frame will include: changes from baseline up to 6 months |
| Electrical activity of the brain in alpha band, Electroencephalography (EEG)(μV) 6 | Recording of the brain's spontaneous electrical activity using multiple electrodes placed on the scalp with a conductive gel or paste, usually after preparing the scalp area by light abrasion to reduce impedance due to dead skin cells. Electrode locations and names are specified by the International 10-20 system.Each electrode is connected to one input of a differential amplifier, which amplifies the voltage between the active electrode and the reference (typically 1,000-100,000 times, or 60-100 dB of voltage gain) and the amplified signal is digitized via an analog-to-digital converter, after being passed through an anti-aliasing filter. Analog-to-digital sampling typically occurs at 256-512 Hz in clinical scalp EEG; sampling rates of up to 20 kHz will be used . The recording involves the subject in centrifugation with medium intensity (from 1,2g to1,5 g). | The time frame will include: changes from baseline up to 6 months |
| Electrical activity of the brain in alpha band, Electroencephalography (EEG)(μV) 7 | Recording of the brain's spontaneous electrical activity using multiple electrodes placed on the scalp with a conductive gel or paste, usually after preparing the scalp area by light abrasion to reduce impedance due to dead skin cells. Electrode locations and names are specified by the International 10-20 system.Each electrode is connected to one input of a differential amplifier, which amplifies the voltage between the active electrode and the reference (typically 1,000-100,000 times, or 60-100 dB of voltage gain) and the amplified signal is digitized via an analog-to-digital converter, after being passed through an anti-aliasing filter. Analog-to-digital sampling typically occurs at 256-512 Hz in clinical scalp EEG; sampling rates of up to 20 kHz will be used . The recording involves the subject in centrifugation of high intensity (from 1,7g to 2 g). | The time frame will include: changes from baseline up to 6 months |
| The Short Physical Performance Battery assessment score | The functioning differences assessed by changes in summary ordinal score on Balance, gait ability and leg strength. The score for each test is given in categorical modality (0-4) based on run time intervals, and the total score will range from 0 (worst) to 12 points (best). | The time frame will include: changes from baseline up to 6 months |
| The Functional Gait Assessment (FGA) | questionnaire | changes in 3 months |
| Gastrocnemius muscle oxygenation | Oxygen saturation (SmO2 (%)) of the gastrocnemius medialis muscle measured with muscle oxygen monitor" (MOXY) placed in the gastrocnemius muscle of the dominant leg during centrifugation | The time frame will include: changes in 3 months |
| Biological samples 1: CATECHOLAMINES | Unit of measurement: μmol from urine and saliva samples will be collected | The time frame will include: changes in 3 months |
| Biological samples 2: ADIPONECTINE | Unit of measurement: μg/mL from serum | The time frame will include: changes in 3 months |
| Biological samples 3:BDNF | Unit of measurement: ng/ml from serum | The time frame will include: changes in 3 months |
| Biological samples 4:MELATONINE | Unit of measurement: pg/mL from saliva | The time frame will include: changes in 3 months |
| Biological samples 5:ADENOSINE | Unit of measurement: µM from saliva | The time frame will include: changes in 3 months |
| Biological samples 5:TNF-α | Unit of measurement: pg/mL from serum | The time frame will include: changes in 3 months |
| Biological samples 6:IL-1β | Unit of measurement: pg/mL from serum | The time frame will include: changes in 3 months |
| Biological samples 7:High-sensitivity C-reactive Protein (hs-CRP) | Unit of measurement: mg/L from serum | The time frame will include: changes in 3 months |
| Biological samples 8:Total leucocyte number: | Unit of measurement: number of cells x 10^3/μL from serum | The time frame will include: changes in 3 months |
| Biological samples 9:sTNF-RII | Unit of measurement: pg/ml from serum | The time frame will include: changes in 3 months |
| Biological samples 10:D-creatinine | Unit of measurement: mmol/l from serum | The time frame will include: changes in 3 months |
| Biological samples 11:alpha-amylase | Unit of measurement: IU, from serum | The time frame will include: changes in 3 months |
| Biological samples 12:secretory immunoglobulin A (sIgA) | Unit of measurement: mg/dL, from serum | The time frame will include: changes in 3 months |
| Biological samples 13: cortisol (SC) mg/dL | Unit of measurement: mg/dL, from saliva | The time frame will include: changes in 3 months |
| Biological samples 14: Glucose | Unit of measurement: mg/dL, from serum | The time frame will include: changes in 3 months |
| Biological samples 15: ACTH | Unit of measurement: ng/liter, from plasma | The time frame will include: changes in 3 months |
| Biological samples 16: Transcortin (mg/liter) | Unit of measurement: mg/liter, from serum | The time frame will include: changes in 3 months |
| Biological samples 17: Total antioxidant capacity (TAC) | Unit of measurement: mM Trolox equivalent/l , from saliva | The time frame will include: changes in 3 months |
| weight in kilograms, height in meters), as appropriate, or to clarify how multiple measurements will be aggregated to arrive at one reported value (e.g., weight | unit: Kg | changes in 3 months |
| Height | Unit:meters | Day 1only |
| Body Mass Index | Unit: kg/m^2). | changes in 3 months |
| 11540676 | Background | Vernikos J; New Collective Author. Artificial gravity intermittent centrifugation as a space flight countermeasure. J Gravit Physiol. 1997 Jul;4(2):P13-6. |
| Background | Frett, T., Mayrhofer, M., Schwandtner, J. et al. An Innovative Short Arm Centrifuge for Future Studies on the Effects of Artificial Gravity on the Human Body. Microgravity Sci. Technol. 26, 249-255 (2014). https://doi.org/10.1007/s12217-014-9386-9 Received: 6 December 2013 / Accepted: 29 August 2014 / Published online: 19 September 2014 © Springer Science+Business Media Dordrecht 2014 |
| 22303588 | Background | Duda KR, Jarchow T, Young LR. Squat exercise biomechanics during short-radius centrifugation. Aviat Space Environ Med. 2012 Feb;83(2):102-10. doi: 10.3357/asem.2334.2012. |
| 26136665 | Background | Clement GR, Bukley AP, Paloski WH. Artificial gravity as a countermeasure for mitigating physiological deconditioning during long-duration space missions. Front Syst Neurosci. 2015 Jun 17;9:92. doi: 10.3389/fnsys.2015.00092. eCollection 2015. |
| 22415387 | Background | Martina JR, Westerhof BE, van Goudoever J, de Beaumont EM, Truijen J, Kim YS, Immink RV, Jobsis DA, Hollmann MW, Lahpor JR, de Mol BA, van Lieshout JJ. Noninvasive continuous arterial blood pressure monitoring with Nexfin(R). Anesthesiology. 2012 May;116(5):1092-103. doi: 10.1097/ALN.0b013e31824f94ed. |
| Background | Penaz J. (1973). "Photoelectric measurement of blood pressure, volume and flow in the finger," in Proceedings of the Digest 10th Int Conf Med Biol Engng, (Dresden: International Federation for Medical and Biological Engineering; ), 104. |
| Background | Stenger M. B., Evans J. M., Patwardhan A. R., Moore F. B., Hinghofer-Szalkay H., Rössler A., et al. (2007). Artificial gravity training improves orthostatic tolerance in ambulatory men and women. Acta Astronaut. 60 267-272. 10.3389/fphys.2018.00716 |
| Background | Trigg C. (2013). Design and Validation of a Compact Radius Centrifuge Artificial Gravity Test Platform. Ph.D. thesis, Massachusetts Institute of Technology, Cambridge. |
| 17872403 | Background | Yang Y, Baker M, Graf S, Larson J, Caiozzo VJ. Hypergravity resistance exercise: the use of artificial gravity as potential countermeasure to microgravity. J Appl Physiol (1985). 2007 Nov;103(5):1879-87. doi: 10.1152/japplphysiol.00772.2007. Epub 2007 Sep 13. |
| 30892246 | Result | Chriskos P, Frantzidis CA, Gkivogkli PT, Bamidis PD, Kourtidou-Papadeli C. Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images. IEEE Trans Neural Netw Learn Syst. 2020 Jan;31(1):113-123. doi: 10.1109/TNNLS.2019.2899781. Epub 2019 Mar 15. |
| 3239619 | Result | LeBlanc A, Gogia P, Schneider V, Krebs J, Schonfeld E, Evans H. Calf muscle area and strength changes after five weeks of horizontal bed rest. Am J Sports Med. 1988 Nov-Dec;16(6):624-9. doi: 10.1177/036354658801600612. |
| 26280651 | Result | Habazettl H, Stahn A, Nitsche A, Nordine M, Pries AR, Gunga HC, Opatz O. Microvascular responses to (hyper-)gravitational stress by short-arm human centrifuge: arteriolar vasoconstriction and venous pooling. Eur J Appl Physiol. 2016 Jan;116(1):57-65. doi: 10.1007/s00421-015-3241-6. Epub 2015 Aug 18. |
| Result | Diaz Artiles, A., Heldt, T., and Young, L. R. (2016). Effects of artificial gravity on the cardio vascular system: computational approach. Acta Astronaut. 126, 395-410. doi: 10.1016/j.actaastro.2016.05.005. |
| 19346988 | Result | Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc. 2009 May;41(5):998-1005. doi: 10.1249/MSS.0b013e3181930355. |
| 30483141 | Result | Diaz-Artiles A, Heldt T, Young LR. Short-Term Cardiovascular Response to Short-Radius Centrifugation With and Without Ergometer Exercise. Front Physiol. 2018 Nov 13;9:1492. doi: 10.3389/fphys.2018.01492. eCollection 2018. |
| 25798613 | Result | Manen O, Dussault C, Sauvet F, Montmerle-Borgdorff S. Limitations of stroke volume estimation by non-invasive blood pressure monitoring in hypergravity. PLoS One. 2015 Mar 23;10(3):e0121936. doi: 10.1371/journal.pone.0121936. eCollection 2015. |
| 22695821 | Result | Truijen J, van Lieshout JJ, Wesselink WA, Westerhof BE. Noninvasive continuous hemodynamic monitoring. J Clin Monit Comput. 2012 Aug;26(4):267-78. doi: 10.1007/s10877-012-9375-8. Epub 2012 Jun 14. |
| 22608585 | Result | van der Spoel AG, Voogel AJ, Folkers A, Boer C, Bouwman RA. Comparison of noninvasive continuous arterial waveform analysis (Nexfin) with transthoracic Doppler echocardiography for monitoring of cardiac output. J Clin Anesth. 2012 Jun;24(4):304-9. doi: 10.1016/j.jclinane.2011.09.008. |
| 29988521 | Result | Verma AK, Xu D, Bruner M, Garg A, Goswami N, Blaber AP, Tavakolian K. Comparison of Autonomic Control of Blood Pressure During Standing and Artificial Gravity Induced via Short-Arm Human Centrifuge. Front Physiol. 2018 Jun 25;9:712. doi: 10.3389/fphys.2018.00712. eCollection 2018. |
| 21336952 | Result | Wang YC, Yang CB, Wu YH, Gao Y, Lu DY, Shi F, Wei XM, Sun XQ. Artificial gravity with ergometric exercise as a countermeasure against cardiovascular deconditioning during 4 days of head-down bed rest in humans. Eur J Appl Physiol. 2011 Sep;111(9):2315-25. doi: 10.1007/s00421-011-1866-7. Epub 2011 Feb 20. |
| 21119574 | Result | Yang CB, Zhang S, Zhang Y, Wang B, Yao YJ, Wang YC, Wu YH, Liang WB, Sun XQ. Combined short-arm centrifuge and aerobic exercise training improves cardiovascular function and physical working capacity in humans. Med Sci Monit. 2010 Dec;16(12):CR575-83. |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D008173 | Lung Diseases, Obstructive |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D026741 |
| Physical Therapy Modalities |
| D006296 | Health Services |
| D005159 | Health Care Facilities Workforce and Services |