Physical activity prediction using fitness data: Challenges and issuesjournalBEEI
In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monitoring is wearable device that allow individual play active role on their own healthcare. However, there is still questions in terms of the accuracy of wearable data for recommending physical activity due to enormous fitness data generated by wearable devices. In this study, we conducted a literature review on machine learning techniques to predict suitable physical activities based on personal context and fitness data. We categorize and structure the research evidence that has been publish in the area of machine learning techniques for predicting physical activities using fitness data. We found 10 different models in behavior change technique (BCT) and we selected two suitable models which are fogg behavior model (FBM) and trans-theoretical behavior model (TTM) for predicting physical activity using fitness data. We proposed a conceptual framework which consists of personal fitness data, combination of TTM and FBM to predict the suitable physical activity based on personal context. This study will provide new insights in software development of healthcare technologies to support personalization of individuals in managing their own health.
Some take pain killers for neck pain and some go to Chiropractor to heal neck pain. But the question arises which is the better option. Let’s read this PDF to know the answer.
Assessing Intra- and Inter-Session Reliability of Energy Expenditure MeasuresAudra Davidson
This was a poster made for the University of Michigan Rehabilitation Biomechanics laboratory. As the lead for this reliability study, I had to utilize research and leadership skills in order to complete the task on time. This study was examining the day-to-day and within-day reliability of oxygen consumption and heart rate measurements on healthy subjects.
Physical activity prediction using fitness data: Challenges and issuesjournalBEEI
In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monitoring is wearable device that allow individual play active role on their own healthcare. However, there is still questions in terms of the accuracy of wearable data for recommending physical activity due to enormous fitness data generated by wearable devices. In this study, we conducted a literature review on machine learning techniques to predict suitable physical activities based on personal context and fitness data. We categorize and structure the research evidence that has been publish in the area of machine learning techniques for predicting physical activities using fitness data. We found 10 different models in behavior change technique (BCT) and we selected two suitable models which are fogg behavior model (FBM) and trans-theoretical behavior model (TTM) for predicting physical activity using fitness data. We proposed a conceptual framework which consists of personal fitness data, combination of TTM and FBM to predict the suitable physical activity based on personal context. This study will provide new insights in software development of healthcare technologies to support personalization of individuals in managing their own health.
Some take pain killers for neck pain and some go to Chiropractor to heal neck pain. But the question arises which is the better option. Let’s read this PDF to know the answer.
Assessing Intra- and Inter-Session Reliability of Energy Expenditure MeasuresAudra Davidson
This was a poster made for the University of Michigan Rehabilitation Biomechanics laboratory. As the lead for this reliability study, I had to utilize research and leadership skills in order to complete the task on time. This study was examining the day-to-day and within-day reliability of oxygen consumption and heart rate measurements on healthy subjects.
Contraception where have we been and where are we going is a presentation made by Dr.Laxmi Shrikhande who is a Fertility Specialist, Laparoscopic Surgeon & no scar Hysterectomy Specialist and a leading Gynaecologist from Nagpur
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Contraception where have we been and where are we going is a presentation made by Dr.Laxmi Shrikhande who is a Fertility Specialist, Laparoscopic Surgeon & no scar Hysterectomy Specialist and a leading Gynaecologist from Nagpur
Data drives company outcomes - employers agree analytics are a key factor in strategic planning. Customizing wellness solutions that has turned science fiction into science. Employees biometrics and genomics - sequencing the genome - drives choosing individualized wellness coaching. Health solutions - providing a path of sustainability and adherence - scientific, engaging, redefining individualized - And we make it affordable. Employee health programs - what a wonderful way to build healthier communities - establish lifestyle habits creating a healthier future for our children. We can manage & prevent chronic illnesses - saving lives and money - investing the money for happier, bigger, better futures.
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Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
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Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
2. Neurovalens
Pioneers in non-invasive medical technology
Brainstem stimulation to treat global health epidemics
Our medical device technology offers unparalleled transdermal activation of
the homeostatic nuclei of the brainstem and hypothalamus, allowing for
alterations in autonomic function, circadian regulation and Neuro-metabolic
influence.
Neurovalens technology can be utilized across a wide range of disease
processes.
Our current focus is to provide drug-free treatments within four key health
epidemics.
3. What epidemics can be managed?
1) Diabetes
2) Insomnia
3) Stress
4) Obesity
5) Anxiety
4.
5. Medical Devices
1) Modius Slim- obesity management
2) Modius Sleep- Management of insomnia ( sleep problems)
3) Modius Stress – Management of stress
4) Modius Diabetes - Adjunctive therapy in the management of DM
6. Modius comprises of what?
1) Modius device for non-invasive electrical vestibular nerve stimulation
2) Carry case
3) Wipes
4) Pads/Electrodes
11. Vestibular stimulation by modius
Bilateral application of electrical VeNS using a battery-powered vestibular nerve
stimulator (ML 1000, Neurovalence, UK) will be practiced.
It consists of a headset, electrode pads, and skin swabs.
Power button helps to turn on the device.
The intensity of the stimulation can be controlled manually by the subject using
either the buttons on the device or through the Bluetooth mobile app.
The electrodes are placed over each mastoid process after cleaning the area with
a swab, and then through a gentle electrical pulse, the vestibular nerves get
stimulated.
12. Is it rechargeable?
Yes
You can recharge it in a similar way you recharge your phone
Battery percentage and usage details you can see on your Modius app
available on the google store
You can connect the device to your android phone/iPhone by blue tooth
13.
14. How much it cost?
Much less than what you spend for your medications and diagnostics if you
get diabetes or insomnia or anxiety disorder
Headset -499$
Pads/ Electrodes & Wipes for 90 days – 39.99$
Hard carry case– 20$
As the device helps you in the prevention and management of these
disorders… why wait…. Order now….
15. When should I use it?
Any time in the day you can use it
While working also you can use it
No need for a separate allotment of time for this
One hour a day you need to use
16. Key benefits reported by users
Less snacking
Finding it easy to stick to diets
Losing weight and keeping it off
More confidence
Increased energy
Better sleep
17. Human study
The present study was a double-blind randomized controlled trial with 1:1 split between the control
and experimental groups.
After recording the baseline values, the vestibular nerve stimulation was administered the participants
in the intervention group for 90 days.
Sham stimulation was administered to the control group for 90 days. Outcome measures were
recorded after 30 days and after 90 days of the intervention in both the groups.
All subjects were put on a daily diet of 1500kCal.
The trial was registered at The Clinical Trials Registry- India (CTRI) with reference number of
CTRI/2019/06/019854.
19. Human study
The mean total body weight loss (TBWL) (%) from baseline of the participants in the control group
on days 30 and 90 days of intervention was +0.4%±2.3% and +0.1%±1.9% and in the participants
of the intervention group is -1.7%±2.8% and -3.6%±3.3%.
Mean Bodyweight in active group baseline value is 70.7 +/- 8.2 and after 90 days is 68.3 +/-
9.2 (P=0.0004)
Mean Body weight in control group baseline value is 65.1 +/- 8.9 and after 90 days is
65.2 +/- 9.0 (P=0.84)
The day 90 difference in TBWL between both groups was statically significant (p = 0.0006).
20. Real World Human Study
The USA FDA considers Modius to be a wellness device that is indicated for Weight
Management. This has allowed data collection of real-world evidence of over 10,000 devices.
So far 30 million minutes of neurostimulation has been assessed and appears to be safe &
effective
22. Does it have side effects?
Absolutely no
Unless your vestibular system is hypersensitive, you will not experience any
symptoms
A study was conducted in India and UK and observed no side effects even
using long-term basis
23. How to order?
Kindly place order following ways
1. saisailesh.kumar@neurovalens.com – you can order via email.
2. 9098466904 – You can order via WhatsUp.