Skip to content

Analysis of Sweat Secretion and Body Dehydration Monitoring

Spectrophon Dehydration Body Monitor Accuracy Evaluation

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03229109
Enrollment
201
Registered
2017-07-25
Start date
2017-05-03
Completion date
2017-07-27
Last updated
2019-10-31

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

Conditions

Dehydration

Keywords

dehydration, spectrophon, device, perspiration

Brief summary

Monitoring of a person's physical status is a key point for maintaining of healthy life. Wearable devices provide a unique possibility for real-time monitoring. This study aims to estimate the accuracy of Spectrophon Dehydration Body Monitor (DBM) incorporated in smartwatch Samsung Gear S2 and sport band Samsung Gear Fit2 by comparing data obtained by DBM with the total weight lost during exertion.

Detailed description

Reduced physical activity is considered as a risk factor for obesity, diabetes, cancer and depression. A proper exercise program can mitigate cognitive and physical decline associated with ageing. Existing general guidelines for physical activity are not universal or appropriate for every person. A personalized approach based on a subject age and unique combination of different physiological parameters would serve as a solution for finding optimal training protocols for individuals. Hence, monitoring basic physiological and biochemical parameters and obtaining information reflecting the body metabolic state is necessary for health status estimation to develop the abovementioned personally-oriented training protocols. Dehydration Body Monitor (DBM) developed by Spectrophon L.T.D. can measure sweat lost, salt concentration in sweat, and sweating dynamics, which can be used for personal physical status monitoring. This is important not only for controlling appropriate body hydration level but also for keeping kidneys healthy. Currently, only few DBM tools are available on the market, so there is a growing need for new effective accurate real-time DBM sensors. The main objective of current study is to estimate the accuracy of Spectrophon DBM incorporated in smartwatch Samsung Gear S2 and sport band Samsung Gear Fit2. The secondary aim of the study is to evaluate the safety-in-use of Spectrophon DBM. Tested device: Name: Dehydration Body Monitor; Source: Spectrophon, L.T.D.; Model: SP-DBM Firmware version: 1.5 4\. Experimental Design Healthy adults (n=200) in different age and gender groups were recruited for the study. Samsung Gear S2 smartwatch with Spectrophon DBM attached to the bottom of the smartwatch were placed on the right wrist of each participant. At the same time, Samsung Gear Fit2 sport band with Spectrophon DBM attached to the bottom of the band was placed on the left wrist of the participant. Each participant was subjected to moderate physical activity. Data from Samsung Gear S2 and Samsung Gear Fit2 was obtained simultaneously. In parallel, subject weight was also monitored using commercially available digital balancers (Shekel B-200-P). The evaluation of the measurement accuracy of the Spectrophon DBM was defined as the difference between subject weight change during the exertion (due to sweating and water consumption) and the volume of sweat detected by Spectrophon DBM. 5\. Procedures: Participants were weighed prior to the experiment (no clothing after maximal drying) and then subjected to physical activity (walking on the treadmill). Total duration of study: 90 minutes 5.2 Intensity of exercises: Participants could choose high or low intensity of exertion: 1. High: up to 6.5km/h; 2. Low: yo to 6.0km/h; 5.3 Data recording: After DBM application was activated, DBM started recording data (sweat rate and total salt in sweat) every 20 sec. and automatically saved results into archive on a mobile phone linked to Samsung Gear S2 or Samsung Gear Fit2 by Bluetooth. Manual recording of data was conducted during breaks Participants were also weighed during each break (no clothing after maximal drying). 5.4. Drinking During the procedure, subjects could drink up to 500 ml of water. The weight of the bottle was measured and recorded after drinking during breaks. The difference was subtracted to the weight loss calculation. 5.5 Restrictions: In this experiment, the following was avoided: 1. Urination during test (empty before T0) 2. Weight loss should not exceed 2% Participants could cancel the experiment at any point of the procedure if desired.

Interventions

DEVICESpectrophon dehydration body monitor

Participants (both males and females) were assigned to physical activity (running), biosensor was attached to subject's wrist

Sponsors

Ariel University
CollaboratorOTHER
Tirat Carmel Mental Health Center
Lead SponsorOTHER_GOV

Study design

Allocation
RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 50 Years
Healthy volunteers
Yes

Inclusion criteria

1. Age: older than 18, both gender. 2. Ability and willingness to sign an informed consent form for participation in the study.

Exclusion criteria

1. Presence of cardiologic or vascular disease. 2. Evidence of any other serious medical disorder. 3. Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Number of Measurements Grouped by Level or Error90 minutesNumber of measurements obtained with Dehydration Monitor with errors greater/less than 20% (as compared to Shekel B-200-P)

Countries

Israel

Participant flow

Participants by arm

ArmCount
Group 1
Age 18-25, males and females, Spectrophon dehydration body monitor was attached to subject's wrist
50
Group 2
Age 26-35, males and females, Spectrophon dehydration body monitor was attached to subject's wrist
50
Group 3
Age 36-45, males and females, Spectrophon dehydration body monitor was attached to subject's wrist
50
Group 4
Age 46-50, males and females, Spectrophon dehydration body monitor was attached to subject's wrist
51
Total201

Withdrawals & dropouts

PeriodReasonFG000FG001FG002FG003
Overall StudyWithdrawal by Subject0001

Baseline characteristics

CharacteristicTotalGroup 2Group 3Group 4Group 1
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
201 Participants50 Participants50 Participants51 Participants50 Participants
Race and Ethnicity Not Collected0 Participants
Region of Enrollment
Israel
201 Participants50 Participants50 Participants51 Participants50 Participants
Sex: Female, Male
Female
101 Participants25 Participants25 Participants26 Participants25 Participants
Sex: Female, Male
Male
100 Participants25 Participants25 Participants25 Participants25 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
0 / 00 / 00 / 00 / 0
other
Total, other adverse events
0 / 500 / 500 / 500 / 50
serious
Total, serious adverse events
0 / 00 / 00 / 00 / 0

Outcome results

Primary

Number of Measurements Grouped by Level or Error

Number of measurements obtained with Dehydration Monitor with errors greater/less than 20% (as compared to Shekel B-200-P)

Time frame: 90 minutes

ArmMeasureGroupValue (NUMBER)
Group 1Number of Measurements Grouped by Level or ErrorSamsung Gear S2 : <20% errors in measurements48 Number of measurements
Group 1Number of Measurements Grouped by Level or ErrorSamsung Gear S2 : >20% errors in measurements2 Number of measurements
Group 1Number of Measurements Grouped by Level or ErrorSamsung Gear Fit2 : <20% errors in measurements47 Number of measurements
Group 1Number of Measurements Grouped by Level or ErrorSamsung Gear Fit2 : >20% errors in measurements3 Number of measurements
Group 2Number of Measurements Grouped by Level or ErrorSamsung Gear S2 : >20% errors in measurements2 Number of measurements
Group 2Number of Measurements Grouped by Level or ErrorSamsung Gear Fit2 : <20% errors in measurements48 Number of measurements
Group 2Number of Measurements Grouped by Level or ErrorSamsung Gear Fit2 : >20% errors in measurements2 Number of measurements
Group 2Number of Measurements Grouped by Level or ErrorSamsung Gear S2 : <20% errors in measurements48 Number of measurements
Group 3Number of Measurements Grouped by Level or ErrorSamsung Gear Fit2 : <20% errors in measurements46 Number of measurements
Group 3Number of Measurements Grouped by Level or ErrorSamsung Gear S2 : >20% errors in measurements1 Number of measurements
Group 3Number of Measurements Grouped by Level or ErrorSamsung Gear Fit2 : >20% errors in measurements4 Number of measurements
Group 3Number of Measurements Grouped by Level or ErrorSamsung Gear S2 : <20% errors in measurements49 Number of measurements
Group 4Number of Measurements Grouped by Level or ErrorSamsung Gear Fit2 : >20% errors in measurements1 Number of measurements
Group 4Number of Measurements Grouped by Level or ErrorSamsung Gear S2 : >20% errors in measurements0 Number of measurements
Group 4Number of Measurements Grouped by Level or ErrorSamsung Gear S2 : <20% errors in measurements50 Number of measurements
Group 4Number of Measurements Grouped by Level or ErrorSamsung Gear Fit2 : <20% errors in measurements49 Number of measurements

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