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Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

The success of home- and telehealth-based cardiac rehabilitation is associated with various clinical, psychological, and physiological parameters that influence and are influenced by the patients’ adherence to the cardiac rehabilitation programme. Various studies have analyzed the effect of wearables and home-base cardiac rehabilitation on the Qo L. In a recent review including 57 articles, Jones et al [6] conclude that home-based cardiac rehabilitation leads to an improved Qo L and exercise capacity.

Fabian Wiesmüller, David Haag, Mahdi Sareban, Karl Mayr, Norbert Mürzl, Michael Porodko, Christoph Puelacher, Lisa-Marie Moser, Marco Philippi, Heimo Traninger, Stefan Höfer, Josef Niebauer, Günter Schreier, Dieter Hayn

JMIR Mhealth Uhealth 2025;13:e57413

Wearables and Smartphones for Tracking Modifiable Risk Factors in Metabolic Health: Protocol for a Scoping Review

Wearables and Smartphones for Tracking Modifiable Risk Factors in Metabolic Health: Protocol for a Scoping Review

These include lifestyle factors (ie, nutrition, physical activity, sleep, stress, and substance abuse) and physiological markers (ie, blood sugar, triglycerides, and high-density lipoprotein cholesterol) [6-10]. Following complex systems perspectives, modifiable factors interact [11,12] and together shape disease outcomes over time, with up to 70% of cardiovascular disease cases and mortality attributed to modifiable risk factors [8,9,12].

Victoria Brügger, Tobias Kowatsch, Mia Jovanova

JMIR Res Protoc 2024;13:e59539

Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study

Empowering Mental Health Monitoring Using a Macro-Micro Personalization Framework for Multimodal-Multitask Learning: Descriptive Study

In our research, the decision to focus on physiological signals and speech data, while excluding modalities such as facial expressions and EEG, was driven by several key considerations: Physiological signals have been shown to have a significant association with mental health and well-being. These signals, such as heart rate, skin conductance, and activity levels, can provide valuable insights into an individual’s emotional and psychological state [17].

Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Zixing Zhang, Zhe Nan, Muxuan Tang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Björn Schuller, Yoshiharu Yamamoto

JMIR Ment Health 2024;11:e59512

Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review

Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review

Of the included studies, 14 physiological responses were recorded. Multimedia Appendix 4 presents a breakdown of the number of studies reporting each postprandial physiological response. The number of participants per study ranged from 4 to 104, with a mean of 17 (SD 19). Out of the 416 participants in the 25 included studies, 230 (55.3%) were male, 180 (44.3%) were female, and the remaining 6 (1.4%) had unknown sex.

Lucy Chikwetu, Parker Vakili, Andrew Takais, Rabih Younes

Interact J Med Res 2024;13:e52167

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis

Modern wearables incorporate sophisticated sensors capable of monitoring a wide array of physiological parameters beyond just movement including heart rate, blood oxygen levels, sleep quality, and stress markers [14]. While this expanded functionality holds promise for disease detection and monitoring, the evidence supporting the use of consumer wearables for such applications remains limited.

Ben Singh, Sebastien Chastin, Aaron Miatke, Rachel Curtis, Dorothea Dumuid, Jacinta Brinsley, Ty Ferguson, Kimberley Szeto, Catherine Simpson, Emily Eglitis, Iris Willems, Carol Maher

JMIR Mhealth Uhealth 2024;12:e56972

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

To minimize the effects of confounding variables during training, we used a homogenous group with similar physiological states and ages undergoing similar pelvic organ procedures not involving malignancies. We selected patients from the gynecologic and obstetric wards based on gestation age because this provided the most uniform criterion apart from gestation itself.

Feng-Fang Tsai, Yung-Chun Chang, Yu-Wen Chiu, Bor-Ching Sheu, Min-Huei Hsu, Huei-Ming Yeh

JMIR Form Res 2024;8:e54097

Examining the Light Heart Mobile Device App for Assessing Human Pulse Interval and Heart Rate Variability: Validation Study

Examining the Light Heart Mobile Device App for Assessing Human Pulse Interval and Heart Rate Variability: Validation Study

HRV represents a biomarker of health status and acute physiological and mental health [3]. HRV declines strongly with aging and is reduced in many chronic cardiovascular [4], metabolic [5], and neurological diseases [6]. Thus, HRV represents a strong predictive biomarker for all-cause mortality, cardiovascular outcomes, depression, and dementia [7]. HRV has also been characterized as an index of emotion regulation [8,9].

Stephen A Klassen, Jesica Jabbar, Jenna Osborne, Nathaniel J Iannarelli, Emerson S Kirby, Deborah D O'Leary, Sean Locke

JMIR Form Res 2024;8:e56921

Continuous Monitoring of Heart Rate Variability in Free-Living Conditions Using Wearable Sensors: Exploratory Observational Study

Continuous Monitoring of Heart Rate Variability in Free-Living Conditions Using Wearable Sensors: Exploratory Observational Study

Among wearable sensors, commercial-off-the-shelf devices, such as smartwatches and smart rings, that integrate heart rate (HR), blood oxygen, and activity monitors are popular devices for use in real-world physiological monitoring because of their already broad owner base and form factor that is compatible with long-term wear [3].

Pooja Gaur, Dorota S Temple, Meghan Hegarty-Craver, Matthew D Boyce, Jonathan R Holt, Michael F Wenger, Edward A Preble, Randall P Eckhoff, Michelle S McCombs, Hope C Davis-Wilson, Howard J Walls, David E Dausch

JMIR Form Res 2024;8:e53977

The Effect of a Novel Video Game on Young Soccer Players' Sports Performance and Attention: Randomized Controlled Trial

The Effect of a Novel Video Game on Young Soccer Players' Sports Performance and Attention: Randomized Controlled Trial

The integration of various systems and devices has brought about significant transformations in established sports practices, impacting not only the rules but also physiological, biomechanical, and even psychological aspects. This revolution is particularly evident in soccer, where the implementation of technology has primarily concentrated on the professional sphere.

Adrian Feria-Madueño, Germán Monterrubio-Fernández, Jesus Mateo Cortes, Angel Carnero-Diaz

JMIR Serious Games 2024;12:e52275