Kinetisense Newsletter

Version 18 , April 2023

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KAMS Independent Living is Here!!!

Assessing Your 65+ Patient Population with the World’s First Senior-Specific Screening System

According to the U.S. Census Bureau, more than 56 million adults ages 65 and older live in the United States, accounting for about 16.9% of the nation’s population, by 2030, when the last of the baby boomer generation ages into older adulthood, it is projected that there will be more than 73.1 million adults over the age of 65.

An Aging Population With the Goal of Staying Functional

As clinicians, this means that approximately 17% of our actual and/or potential patient base are aged 65 or older.  This is a population group that largely has the goal of maintaining functional independence, and not losing the ability to play golf, tennis, pickleball, play with grandkids etc.

How to Functionally Assess This Patient Group

Without a functional analysis tool that is specified for the +65 age group, your clinic is limited in the ability to baseline and assess the functional capacity of this important patient population.   This is a patient group that is highly receptive to functional analysis and prescribed treatment/corrective plan.

The Solution- KAMS Independent Living

Kinetisense has created the world’s first markerless functional movement screen called “KAMS Independent Living (IL)”.  This advanced movement screen incorporates evidence-based functional movements that pertain to the Senior population.  This movement screen is the most advanced of its kind, assessing over 250 movement dysfunction in all three planes of movement while only taking 5 minutes to complete.

KAMS IL gives pertinent and invaluable information on the functional capacity and abilities of that individual at any given time, allowing the practitioner to quickly prescribe therapy or correctives to enhance functional independence.

Back Flexion
Back Extension
Back Lateral Flexion Left
Back Lateral Flexion Right
Posture Angel
Reverse Lunge
Five times Sit To Stand

KAMS IL Drives Patient Compliance 

KAMS IL is a proven solution that drives patient compliance by providing easy-to-understand functional scoring, functional indexing and joint mapping.  The Kinetisense Reporting Engine allows the practitioner to quickly create a report depicting assessment results and overall “functional trend” data.  These reports are easily imported into your EMR, shared with the patient, or with their medical practitioner etc.

KAMS IL scores
FPM – Breakdown scores
FPM – Indexes


How do I login into Kinetisense for the first time?

1. Open the Kinetisense application either through the app store or from your PC computer. 

2. A username,  password and Kinetisense Cloud will be provided by the Kinetisense team member once a license has been purchased. The password can be reset after the initial login but username and Kinetisense Cloud will remain the same.

3. Enter the provided username and password. The “Use Kinetisense Cloud” must be selected as well as the correct cloud information provided. Please note that there are multiple United States clouds, please select the cloud provided by a Kinetisense team member.

Please note that anyone can create a new Kinetisense account to explore the app, but will be unable to use any of the modules with a license key provided by a member of the Kinetisense Team.

How to reset my password?

1. In order to reset your password the correct username and Kinetisense Cloud must be entered. This information was provided by a member of the Kinetisense Team Member 

2. If the incorrect username or Kinetisense Cloud is entered, an error message will pop up stating “ There was an error sending your password. Please contact [email protected]”. Please reach out to our support team if this message occurs, after ensuring that you have selected the correct Kinetisense Cloud. 

3. If the correct username and Kinetisense Cloud are selected a temporary password will be sent to the email address associated with your account. Please enter your temporary password provided as well as a new password you would like to use.

What kind of iPad Accessories are recommended?

How to enable automatic app update on your Apple iPad Pro

Step 1:

Press Settings

Step 2:

Find “App Store”

Press App Store

Step 3:

Turn automatic update of apps on or off

Press the indicator next to “App Updates” to turn the function on or off.

*if you turn on automatic update, your Ipad will automatically updated via Wi-Fi.

Step 4  – Optional

Turn automatic update of apps via mobile network on or off

Press the indicator next to “Automatic Downloads” to turn the function on or off.

*If you turn on automatic update via mobile network, your apps are automatically updated via the mobile network when no Wi-Fi networks are within range.

Step 5:

Slide your fingers upwards starting from the bottom of the screen to return to the home screen


Mark Cormier

The Titleist Performance Institute (TPI) Screen was developed to help golfers understand their movement abilities. The Kinetisense Advanced Movement Screen (KAMS) was developed to help everybody understand their movement abilities. Independently, both screens are beneficial but, combined together they are instrumental in determining how to optimally help my clients. 

The TPI screen looks at parts of the body that directly affect the golf swing, and I use this information to determine exercises related to that position and movement. The TPI screen is a qualitative and quantitative assessment tool looking at movement quality and quantity. At the end of the assessment there is a self generated email that lists all your scores and the likely swing faults that will be associated with these problems. It also provides a fitness handicap, just like your golf handicap. If you’re in the golfing world then I’m sure you’ve heard of the TPI screen. 

KAMS provides an incredible amount of data that helps me select the appropriate exercises to improve their specific stability and mobility dysfunctions and limitations. One of the biggest advantages of KAMS is the accuracy of the system and in a world full of data this is what my clients like and want to see. I have worked with athletes and in education for almost fifteen years and I primarily used the Functional Movement Screen and NASM Movement Screen to assess all my clients. These are both great movement screens but they don’t give trainers the same amount of detailed information to work with their clients. 

After I assess my clients using KAMS and the TPI Screen, I usually circle back and do range of motion testing on the areas that were highlighted in the screens. The Kinetisense system makes it easy for me to do that and store all of my clients’ past videos and results.  Again, this gives trainers and coaches another layer of information to help you program effectively for your clients. If you’re considering what the best way is to assess your clients then look no further. Kinetisense has a system that will take you and your business to the next level. Thanks for reading! 

Mark Cormier, CSEP-CPT

From Average To Elite 

Helping Athletes Move Better Everyday 

Gait Disorders and non-Alzheimer’s Dementia

Gait disorders increase in prevalence with advancing age, and one of the common causes of these disorders are neurologic diseases (1). Similar to the frequency of gait disorders, the prevalence of dementia also increases with advancing age (2,3). Alzheimer’s is the most common type of dementia (AD); however, patients with non-Alzheimer’s dementias (n-AD), such as vascular dementia (VaD), may experience greater functional impairment and require different diagnostic and therapeutic approaches (4). In contrast to AD, gait disorders are a well known presenting feature of n-AD (4–8). Owing to this relationship, it has been hypothesized that gait disorders might precede and predict the diagnosis of n-AD (1). The importance of quantitative gait analysis in terms of developing a potential predictive model is paramount in identifying specific gait characteristics associated with the risk of developing a n-AD (1).

Since the association between gait disorders and n-AD was identified, significant research efforts have been made to determine the validity of the predictive value of gait disorders in n-AD. Gait disturbances such as slowed gait velocity, decreased step length, and walking with a wide base are observed in VaD and its subtypes (9,10). The research has made substantial progress in recent years; however, it does not currently impact clinical guidelines, rather, demonstrates the utility as a pre-clinical marker. Early studies demonstrated that patients with neurological gait disorders had significantly increased risk of developing dementia (1). In agreement with current findings, further analysis revealed that this was true for n-AD and not AD, making neurological gait disorders a potential differential marker (11). Subsequent studies began to identify quantitative gait factors that could predict future risk of cognitive decline and dementia. Data from the Einstein Aging Study demonstrates that a rhythm gait factor is related to memory decline and a pace factor is related to executive function decline (12). Rhythm and variability gait factors are shown to be associated with increased risk of dementia and a pace gait factor predicted the risk of developing VaD (12). The pace factor is heavily weighted towards gait velocity and stride length, the rhythm factor heavily weighted towards cadence and swing and stance time, and the variability factor heavily weighted towards stride length and swing time variability. Recent studies have examined the link between cognitive and motor function in aging adults and have identified gait slowing up to seven years prior to the clinical onset of dementia and a steeper decline in gait speed corresponds with a higher risk of dementia (13,14). 

Stemming from this base of knowledge, researchers have began to investigate the utility of preserving functional capacity as a method to prevent cognitive decline. Results on this topic as it relates to dementia have been mixed to date, however, inherent limitations exist within the population which contribute to the complexity of the problem (15). Evidence from self-reported cognitive leisure activity participation is associated with a reduced risk of dementia; however, controlled trials are required to assess this potential protective effect (16). Aerobic capacity declines through normal aging processes. Maintaining higher levels of aerobic fitness is associated with lower levels of age-related decline in tissue density in the frontal, parietal, and temporal lobes (17). This is of particular relevance as these brain regions are identified in both dementia and gait disorders (15).

Although the literature has yet to fully describe a definitive link between specific gait markers and the risk of n-AD, reasonable conclusions can be drawn surrounding the importance of maintaining functional capacity and reducing cognitive decline. With the use of tools like Kinetisense, practitioners are able to identify dysfunctions and employ corrective measures prior to functional decline through routine screening. As highlighted by the above research, this is crucial to the physical and cognitive health of the patient.


  1. Verghese J, Lipton RB, Hall CB, Kuslansky G, Katz MJ, Buschke H. Abnormality of Gait as a Predictor of Non-Alzheimer’s Dementia. N Engl J Med. 2002 Nov 28;347(22):1761–8. 
  2. Fratiglioni L, De Ronchi D, Ag??ero Torres H. Worldwide Prevalence and Incidence of Dementia: Drugs Aging. 1999;15(5):365–75. 
  3. Verghese J, LeValley A, Hall CB, Katz MJ, Ambrose AF, Lipton RB. Epidemiology of Gait Disorders in Community-Residing Older Adults: GAIT. J Am Geriatr Soc. 2006 Feb;54(2):255–61. 
  4. Rosen WG, Terry RD, Fuld PA, Katzman R, Peck A. Pathological verification of ischemic score in differentiation of dementias. Ann Neurol. 1980 May;7(5):486–8. 
  5. Chui HC, Victoroff JI, Margolin D, Jagust W, Shankle R, Katzman R. Criteria for the diagnosis of ischemic vascular dementia proposed by the State of California Alzheimer’s Disease Diagnostic and Treatment Centers. Neurology. 1992 Mar;42(3):473–473. 
  6. Groves WC, Brandt J, Steinberg M, Warren A, Rosenblatt A, Baker A, et al. Vascular Dementia and Alzheimer’s Disease: Is There a Difference? A Comparison of Symptoms by Disease Duration. J Neuropsychiatry Clin Neurosci. 2000; 
  7. McKeith IG, Perry EK, Perry RH. Report of the second dementia with Lewy body international workshop: Diagnosis and treatment. Neurology. 1999 Sep 1;53(5):902–902. 
  8. Whitman GT, Tang T, Lin A, Baloh RW. A prospective study of cerebral white matter abnormalities in older people with gait dysfunction. Neurology. 2001 Sep 25;57(6):990–4. 
  9. Allan LM, Ballard CG, Burn DJ, Kenny RA. Prevalence and Severity of Gait Disorders in Alzheimer’s and Non-Alzheimer’s Dementias: GAIT DISORDERS IN DEMENTIA. J Am Geriatr Soc. 2005 Oct;53(10):1681–7. 
  10. Pugh K. The microvascular frontal-subcortical syndrome of aging. Neurobiol Aging. 2002 Jun;23(3):421–31. 
  11. Blumen HM, Jayakody O, Verghese J. Gait in cerebral small vessel disease, pre-dementia, and dementia: A systematic review. Int J Stroke. 2023 Jan;18(1):53–61. 
  12. Verghese J, Wang C, Lipton RB, Holtzer R, Xue X. Quantitative gait dysfunction and risk of cognitive decline and dementia. J Neurol Neurosurg Amp Psychiatry. 2007 Sep 1;78(9):929–35. 
  13. Dumurgier J, Artaud F, Touraine C, Rouaud O, Tavernier B, Dufouil C, et al. Gait Speed and Decline in Gait Speed as Predictors of Incident Dementia. J Gerontol A Biol Sci Med Sci. 2016 Jun 14;glw110. 
  14. Darweesh SKL, Licher S, Wolters FJ, Koudstaal PJ, Ikram MK, Ikram MA. Quantitative gait, cognitive decline, and incident dementia: The Rotterdam Study. Alzheimers Dement. 2019 Oct;15(10):1264–73. 
  15. Scherder E, Eggermont L, Swaab D, van Heuvelen M, Kamsma Y, de Greef M, et al. Gait in ageing and associated dementias; its relationship with cognition. Neurosci Biobehav Rev. 2007 Jan;31(4):485–97. 
  16. Verghese J, Lipton RB, Katz MJ, Hall CB, Derby CA, Kuslansky G, et al. Leisure Activities and the Risk of Dementia in the Elderly. N Engl J Med. 2003 Jun 19;348(25):2508–16.
  17. van Gelder BM, Tijhuis MAR, Kalmijn S, Giampaoli S, Nissinen A, Kromhout D. Physical activity in relation to cognitive decline in elderly men: The FINE Study. Neurology. 2004 Dec 28;63(12):2316–21.

Advanced SDK V7

Kinetisense is proud to announce its latest update with Markerless Motion Capture, featuring a new and improved SDK with improved tracking on wrist and ankles, and more! With this update, Kinetisense is taking motion capture technology to the next level, allowing users to capture more accurate and detailed data. Kinetisense is staying ahead of the game, and we can’t wait to show you what’s coming next. Keep an eye out for updates and news from Kinetisense, as we move into the future with the latest advancements in Motion Capture technology.