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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04022590
Other study ID # Smart clothes
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date July 8, 2019
Est. completion date December 31, 2024

Study information

Verified date September 2023
Source National Defense Medical Center, Taiwan
Contact Shang-Lin Chiang, PhD
Phone 8860287923311
Email andyyy520@yahoo.com.tw
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Investigators assume that the wearable clothes can be applied to home-based health care and integrated into a case management model through telehealthcare. While prior to complete the case management, the feasibility should be tested and evaluate its reliability and validity of the physical information collected from the clothes. Therefore, investigators try to conduct a feasibility study to evaluate the reliability and validity of the exercise heart rate sensing e-clothes and after that, investigators will incorporate this wearable clothes to home-based exercise training as one of the major components in our case management model.


Description:

Easy-to-use and service touch points allow patients/ users to realize the value and status of their physiological functions/ parameters based on their evidence is important. According to the U.S. survey, 90% of people can change their lifestyle behaviors, improve their personal health awareness, achieve holistic health care and improve their quality of life due to "Quantify Self". Therefore, a broader health care system, health consumption services or ecological system has been building to integrate health care resources, extend health care services from hospital to communities and individual' homes. When people consume in their daily life, immediate public health guidance or professional intervention can be offered at the same time, not only can effectively maintain individuals' health, early detection of possible physiological signs/ parameters, can also delay the progression of the disease and reduce the burden of first-line health care workers. Therefore, it is the era of smart healthcare that provides a health service platform with APPs(Applications) to provide personalized integrated medical services. However, in order to monitor or evaluate the effect of treatment (i.e., exercise training) still needs to be provided through the actual feedback of individual physiological data. Clothes with smart function which is able to connect with social media and APPs has been promoting and marketing as smart sports or lifestyle-monitor goods, such as exercise-related physical parameters and sleep quality quantifying. Sleep physiology information collected through the clothes including degree and quality of sleep can be recorded and transmitted to the remote health system via APP and cloud service platform. On this cloud platform, health information can exchange with clinician's physicians, offering advises for users to whether to go to the hospital for further examination.


Recruitment information / eligibility

Status Recruiting
Enrollment 60
Est. completion date December 31, 2024
Est. primary completion date August 31, 2024
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 80 Years
Eligibility Inclusion Criteria: - more than two chronic disease.(multiple morbidity) - able to speak and understand Mandarin - able to walk without assistance - able to use smart phones and understand how to use the e-clothes and related app - agreed to be randomized to one of the two groups Exclusion Criteria: - a history of cancer - confirmed psychiatric disease - inability to participate due to comorbid neurological and musculoskeletal conditions - a history of arrhythmia

Study Design


Intervention

Device:
E-clothes
The E-clothes could prove heart rate or heart rate variability(HRV) information to the participants' smart phone by blue tooth. Then the smart phone will calculate and provide the suitable aerobic training intensity by the microphone when the participants do aerobic training.
Behavioral:
Healthy consultation
Healthy consultation will educate the participants do aerobic training three times a week for 3 months. And the each training period is at least 30 minutes.

Locations

Country Name City State
Taiwan Tri-service General Hospital Taipei

Sponsors (1)

Lead Sponsor Collaborator
Shang-Lin Chiang

Country where clinical trial is conducted

Taiwan, 

Outcome

Type Measure Description Time frame Safety issue
Other Quality of life (scores) The indicator of quality of life in this study will use Short-Form 36 to evaluate. The Taiwan standard version SF-36 developed through the collaboration of Drs. Jui-Fen Rachel Lu et al. in 1996 showed well-established reliability and validity. 20 minutes
Other Depression (scores) Symptoms of depression will be assessed using the 21-item BDI, which is a self-report questionnaire frequently used to examine depressive level during the previous two weeks (Beck, Steer, & Brown, 1996) 10 minnutes
Primary Aerobic capacity (VO2 max in ml/kg/min ) Maximal VO2 during testing, also means aerobic capacity 30 minutes
Primary Working load in watt Maximal Working load during testing 30 minutes
Primary Rest/Max Heart rate in beat/min resting and maximal heart rate during exercise testing, 30 minutes
Primary O2 pulse in ml/beat, It means the heart pumps O2 volume by each heart beat, and also means left ventricle function. 30 minutes
Primary systolic and diastolic blood pressure in mm Hg, The resting and maximal blood pressure during exercise testing 30 minutes
Secondary Physical activity (scores) The participants' weekly physical activity will be assessed by a research nurse using the International Physical Activity Questionnaire (IPAQ)-short form, Chinese version, which has well-established reliability and validity (Liou, Jwo, Yao, Chiang, & Huang, 2008). This 7-item instrument measures time (minute) of physical activity including housework, transportation, leisure activity, and moderate-to-vigorous-intensity physical activity for the past 7 days. 10 minutes
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