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Cardiopulmonary Training in the Victims With Multiple Morbidities by Application of Novel Heart Rate Sensing Clothes

Tri-service General Hospital

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04022590
Enrollment
60
Registered
2019-07-17
Start date
2019-07-08
Completion date
2024-12-31
Last updated
2023-10-02

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

Conditions

Degeneration Muscle, Heart; Complications, Multiple Morbidities

Brief 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.

Detailed 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.

Interventions

DEVICEE-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.

BEHAVIORALHealthy 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.

Sponsors

Shang-Lin Chiang
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)

Intervention model description

Parallel Assignment

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
systolic and diastolic blood pressure in mm Hg,30 minutesThe resting and maximal blood pressure during exercise testing
Aerobic capacity (VO2 max in ml/kg/min )30 minutesMaximal VO2 during testing, also means aerobic capacity
Working load in watt30 minutesMaximal Working load during testing
O2 pulse in ml/beat,30 minutesIt means the heart pumps O2 volume by each heart beat, and also means left ventricle function.
Rest/Max Heart rate in beat/min30 minutesresting and maximal heart rate during exercise testing,

Secondary

MeasureTime frameDescription
Physical activity (scores)10 minutesThe 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.

Other

MeasureTime frameDescription
Depression (scores)10 minnutesSymptoms 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)
Quality of life (scores)20 minutesThe 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.

Countries

Taiwan

Contacts

Primary ContactShang-Lin Chiang, PhD
andyyy520@yahoo.com.tw8860287923311
Backup ContactLiang-Hsuan Lu, MS
katelinana@gmail.com8860287923311

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026