Search Articles

View query in Help articles search

Search Results (1 to 10 of 26 Results)

Download search results: CSV END BibTex RIS

CSV download: Download all 26 search results (up to 5,000 articles maximum)

Predicting Risk of Heat-Related Injuries for Individuals Wearing Personal Protective Equipment Using Smartwatches: Feasibility Observational Study

Predicting Risk of Heat-Related Injuries for Individuals Wearing Personal Protective Equipment Using Smartwatches: Feasibility Observational Study

The Predicted Heat Strain (PHS) Model [8] improved estimations and extended the original model to include predictions of mean skin temperature and sweat rate based on the clothing being worn, as well as rectal temperature and the distribution of heat storage.

Meghan Hegarty-Craver, Donna Womack, Jonathan Thornburg, Timothy Boe, M John Archer, Worth Calfee

JMIR Form Res 2025;9:e72324


Exploring the Value of Continuous Plantar Temperature Monitoring for Diabetic Foot Health Management: Observational, Prospective Cohort Study

Exploring the Value of Continuous Plantar Temperature Monitoring for Diabetic Foot Health Management: Observational, Prospective Cohort Study

While studies informing once-daily plantar temperature measurements have shown most success in DFU risk reduction when managed with marked reductions in activity [5], there are concerns that once-daily plantar temperature measurements may not provide a comprehensive view of foot temperature dynamics.

Maryam Hajizadeh, Emily Matijevich, Emily Bray, Evan Minty, Brock Liden

JMIR Mhealth Uhealth 2025;13:e73187


Repeated Pressure and Shear Stress at the Posterior Heel Following Localized Skin Cooling: Protocol for a Repeated Measures Cohort Study

Repeated Pressure and Shear Stress at the Posterior Heel Following Localized Skin Cooling: Protocol for a Repeated Measures Cohort Study

Following pilot testing, some participants (n=2) found a 38 ºC plate temperature to be borderline uncomfortable, so we decided to reduce the plate temperature to 36 ºC to improve thermal tolerability in the no cooling condition. The rationale for using 2 levels of cooling was 2-fold: first, prior research investigating localized cooling on tissue viability in animal models [17,18] used cooling interventions at 25 ºC, demonstrating the benefit of reduced skin temperature in preserving tissue viability.

Ralph Gordon, Charlotte Stevens, Peter Worsley, Davide Filingeri

JMIR Res Protoc 2025;14:e73250


Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation

Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation

Interventions for temperature and MAP are administered every 2 hours. A 6x6 action matrix is used, where temperature and MAP measurements at each time point are converted into integers corresponding to their respective sextiles, thereby defining the action space. The primary focus of our reward system is patient survival, with rewards assessed after a sequence of clinical decisions.

Hongwei Zhang, Mengyuan Diao, Sheng Zhang, Peifeng Ni, Weidong Zhang, Chenxi Wu, Ying Zhu, Wei Hu

J Med Internet Res 2025;27:e63847


The Value of Remote Vital Signs Monitoring in Detecting Clinical Deterioration in Patients in Hospital at Home Programs or Postacute Medical Patients in the Community: Systematic Review

The Value of Remote Vital Signs Monitoring in Detecting Clinical Deterioration in Patients in Hospital at Home Programs or Postacute Medical Patients in the Community: Systematic Review

Keywords included “hospital discharge,” “transitional care,” “postadmission,” “after admission,” “postdischarge,” “after hospital,” “posthospital,” “postacute,” “hospital at home,” “hospital in the home,” “home hospital,” “early supported discharge,” “admission avoidance,” “ambulatory monitoring,” “vital signs,” “blood pressure,” “heart rate,” “temperature,” “oxygen saturation,” “respiratory rate,” and “pulse rate” with publications limited to those from 2012 and in English.

Su-Ann Cheng, Shijie Ian Tan, Samuel Li Earn Goh, Stephanie Q Ko

J Med Internet Res 2025;27:e64753


Association of Blood Glucose Data With Physiological and Nutritional Data From Dietary Surveys and Wearable Devices: Database Analysis

Association of Blood Glucose Data With Physiological and Nutritional Data From Dietary Surveys and Wearable Devices: Database Analysis

The LOPOCV random forest regression model was used to examine the importance of the characteristics, resulting in the extraction of diet, circadian rhythm, stress, activity, body temperature, heart rate, electrodermal activity, biological sex, and Hb A1c [30]. The second study evaluated methods for detecting prediabetes and estimating glycated hemoglobin (Hb A1c) and glucose variability using digital biomarkers from wearables [31].

Takashi Miyakoshi, Yoichi M Ito

JMIR Diabetes 2024;9:e62831


Projections of Climate Change Impact on Acute Heat Illnesses in Taiwan: Case-Crossover Study

Projections of Climate Change Impact on Acute Heat Illnesses in Taiwan: Case-Crossover Study

We used the minimal morbidity temperature (MMT), which corresponded to the lowest RR of acute heat illnesses, as the reference value to calculate the attributable number (AN) and attributable fraction (AF) caused by nonoptimal temperature [24]: Where n denotes the total number of acute heat illnesses, and the parameter βx denotes the coefficient of DLNM when MMT is used as the reference temperature. The AF is the proportion of acute heat illness caused by nonoptimal temperature.

Hsiao-Yu Yang, Chang-Fu Wu, Kun-Hsien Tsai

JMIR Public Health Surveill 2024;10:e57948


Temperature Measurement Timings and the Fever Detection Rate After Gastrointestinal Surgery: Retrospective Cross-Sectional Study

Temperature Measurement Timings and the Fever Detection Rate After Gastrointestinal Surgery: Retrospective Cross-Sectional Study

In the simulated clinical temperature measurement analysis, we included all patients who were determined to have a fever based on sensor temperature data. In clinical practice, for ease of implementation and documentation, temperature measurements are typically taken on the hour. Therefore, the temperature data for every hour were selected from the consecutively collected dataset.

Shiqi Wang, Gang Ji, Xiangying Feng, Luguang Huang, Jialin Luo, Pengfei Yu, Jiyang Zheng, Bin Yang, Xiangjie Wang, Qingchuan Zhao

Interact J Med Res 2024;13:e50585


Examining the Relationships Between Indoor Environmental Quality Parameters Pertaining to Light, Noise, Temperature, and Humidity and the Behavioral and Psychological Symptoms of People Living With Dementia: Scoping Review

Examining the Relationships Between Indoor Environmental Quality Parameters Pertaining to Light, Noise, Temperature, and Humidity and the Behavioral and Psychological Symptoms of People Living With Dementia: Scoping Review

At the same time, the duration of exposure to high temperature (>22.6 °C) and low temperature ( A total of 8 studies [24,25,31-34,40,43] examined multiple indoor environmental quality parameters (refer to Table 2 for the combination of parameters examined in each study).

Wan-Tai M Au-Yeung, Lyndsey Miller, Chao-Yi Wu, Zachary Beattie, Michael Nunnerley, Remonda Hanna, Sarah Gothard, Katherine Wild, Jeffrey Kaye

Interact J Med Res 2024;13:e56452


Impact of Ambient Temperature on Mortality Burden and Spatial Heterogeneity in 16 Prefecture-Level Cities of a Low-Latitude Plateau Area in Yunnan Province: Time-Series Study

Impact of Ambient Temperature on Mortality Burden and Spatial Heterogeneity in 16 Prefecture-Level Cities of a Low-Latitude Plateau Area in Yunnan Province: Time-Series Study

Therefore, this study used the entire Yunnan Province counties, representative of the low-latitude plateau region, as the study area to focus on assessing the mortality burden due to mean temperature, populations sensitive to environmental temperature exposure, and high-risk disease causes of death. Additionally, the study aimed to explore the spatial heterogeneity of the impact of mean temperature on mortality burden.

Yang Chen, Lidan Zhou, Yuanyi Zha, Yujin Wang, Kai Wang, Lvliang Lu, Pi Guo, Qingying Zhang

JMIR Public Health Surveill 2024;10:e51883