K. Murugavalli , R. Ramalakshmi , G. Vishnuvarthanan , M. Pallikonda Rajasekaran
{"title":"Prediction of body physiological parameter changes after experiencing infinity walk: A prospective observational view","authors":"K. Murugavalli , R. Ramalakshmi , G. Vishnuvarthanan , M. Pallikonda Rajasekaran","doi":"10.1016/j.smhl.2025.100609","DOIUrl":null,"url":null,"abstract":"<div><div>To develop a clinical prediction tool for estimating the changes in the body physiological parameters during six months for the people practicing infinity walk. Comparing the parameters of normal walk and infinity walk for recording progression and forecasting conversion in the physiological parameters. All eight subjects pursue a balanced diet as per the instructions delivered by dietitian. Four participants planned to practice the infinity walk, in the open or in a room, going from south to north and vice versa. Another four participants are advised to practice regular walking. All the individuals walked for 30 min in both morning and evening. Eight participants, comprising 4 men and 4 women. The participants, who included healthy individuals, people with diabetes, people with hypertension and those with both diabetes and hypertension, ranged in age from 30 to 60. The primary outcome is changes in weight, blood sugar level, blood pressure, and oxygen saturation when infinity walk is employed as a stimulus. In this prospective observational study, four of the subjects in each group are practicing the infinity walk, while the remaining four are walking normally for an hour each day (morning and evening). Physiological data are collected weekly once by clinician for analysis. Statistical analysis has been performed using linear regression and Wilcoxon Rank sum test in order to predict the changes in the physiological parameters in the future, when the subjects continuing the procedure for a long duration. In order to increase prediction accuracy, the Generalized Regression Neural Network (GRNN) and the Gaussian Process Regression (GPR) model are combined to create the GPR-GRNN. The statistical analysis states that the better changes in the body physiological parameters can be identified on the subject's performing infinity walk than the subjects practicing normal walk. Participants who perform infinite walking over regular walking show progressively better results. The findings of this study laid the groundwork for a reliable prediction of improvements in body physiological parameters over a period of time when infinite walking is practiced. Also, the results can assist in justifying the reason for the suggestion/preference given by the doctors/researchers to patients/common people to select infinity walk as an exercise.</div></div>","PeriodicalId":37151,"journal":{"name":"Smart Health","volume":"38 ","pages":"Article 100609"},"PeriodicalIF":3.4000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352648325000704","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/21 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 0
Abstract
To develop a clinical prediction tool for estimating the changes in the body physiological parameters during six months for the people practicing infinity walk. Comparing the parameters of normal walk and infinity walk for recording progression and forecasting conversion in the physiological parameters. All eight subjects pursue a balanced diet as per the instructions delivered by dietitian. Four participants planned to practice the infinity walk, in the open or in a room, going from south to north and vice versa. Another four participants are advised to practice regular walking. All the individuals walked for 30 min in both morning and evening. Eight participants, comprising 4 men and 4 women. The participants, who included healthy individuals, people with diabetes, people with hypertension and those with both diabetes and hypertension, ranged in age from 30 to 60. The primary outcome is changes in weight, blood sugar level, blood pressure, and oxygen saturation when infinity walk is employed as a stimulus. In this prospective observational study, four of the subjects in each group are practicing the infinity walk, while the remaining four are walking normally for an hour each day (morning and evening). Physiological data are collected weekly once by clinician for analysis. Statistical analysis has been performed using linear regression and Wilcoxon Rank sum test in order to predict the changes in the physiological parameters in the future, when the subjects continuing the procedure for a long duration. In order to increase prediction accuracy, the Generalized Regression Neural Network (GRNN) and the Gaussian Process Regression (GPR) model are combined to create the GPR-GRNN. The statistical analysis states that the better changes in the body physiological parameters can be identified on the subject's performing infinity walk than the subjects practicing normal walk. Participants who perform infinite walking over regular walking show progressively better results. The findings of this study laid the groundwork for a reliable prediction of improvements in body physiological parameters over a period of time when infinite walking is practiced. Also, the results can assist in justifying the reason for the suggestion/preference given by the doctors/researchers to patients/common people to select infinity walk as an exercise.