\[\newcommand{\eq}[1]{\begin{align*}#1\end{align*}}\]

AP, ML Time Series

Distance

Estimated Frequency Densities (eye balled)
1. |10sec - 13sec| = 1/3 = 0.333 Hz
2. |10sec - 24.5sec| = 1/14.5 = 14.5 Hz
3. |24sec - 58sec| = 1/34 = 0.029 Hz
4. |13sec - 18sec| = 1/6 = 0.167 Hz

Velocity

Spectrum Analysis

The decomposition of a time series into underlying sine and cosine functions of different frequencies, allows to identify frequencies that appear strong or important. Or the power spectrum of a time series x(t) describes the distribution of power into frequency components composing that signal.

Frequency Spectrum Distance

Example: Power Seectrum of AP

The values at t=0, 0.01, 0.02 are deleted since the time equivalent is 100 respectively 50 seconds, which is to slow for motor control.

Area under the curve

\[\eq{ u_k = \sum{(m\Delta f)^k G[m] )} }\]

## [1] 4.553352

Frequency Spectrum Velocity

Analysis

Ingestion

## 'data.frame':    480570 obs. of  17 variables:
##  $ Trial      : chr  "BDS00001" "BDS00001" "BDS00001" "BDS00001" ...
##  $ Subject    : num  1 1 1 1 1 1 1 1 1 1 ...
##  $ Vision     : chr  "Open" "Open" "Open" "Open" ...
##  $ Surface    : chr  "Firm" "Firm" "Firm" "Firm" ...
##  $ AgeGroup   : chr  "Young" "Young" "Young" "Young" ...
##  $ Age        : num  33 33 33 33 33 33 33 33 33 33 ...
##  $ Illness    : chr  "Yes" "Yes" "Yes" "Yes" ...
##  $ Illness2   : chr  "Hypothyroidism" "Hypothyroidism" "Hypothyroidism" "Hypothyroidism" ...
##  $ Disability : chr  "No" "No" "No" "No" ...
##  $ Disability2: chr  "No" "No" "No" "No" ...
##  $ Footwear   : chr  "Flip-Flops" "Flip-Flops" "Flip-Flops" "Flip-Flops" ...
##  $ BMI        : num  21.8 21.8 21.8 21.8 21.8 ...
##  $ spx        : num  0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 0.22 ...
##  $ RD.y       : num  14.64 7 7.95 2.4 6.21 ...
##  $ AP.y       : num  14.76 82.38 9.39 71.72 9.85 ...
##  $ ML.y       : num  12.28 1.65 2.24 0.25 0.13 ...
##  $ BMI.Class  : Factor w/ 3 levels "normal","overweight",..: 1 1 1 1 1 1 1 1 1 1 ...

Power Spectrum of Resulting Distance (RD.y) Subject | Surface

100 randomly selected subjects.

Power Spectrum of Resulting Distance (RD.y) Subject | Eyes Open/Closed

100 randomly selected subjects. Comparing each subject Remarks
Showing for each subject the difference between eyes open and closed are visualized. The power density is higher for eyes closed.

Illnesses

counts illness
56 No
29 Hypertension
20 Hypercholesterolemia
14 Hypercholesterolemia
13 Hypothyroidism
13 Osteopenia
12 Diabetes mellitus
12 Arthrosis
12 Labyrinthitis
11 Rhinitis
11 Osteoporosis
10 Hypertension
9 Asthma
8 Arthrosis
7 Labyrinthitis
6 Osteoporosis
5 Sinusitis
4 Rhinitis
4 Hypothyroidism
3 Tendinitis
3 Hypoglycemia
3 Hyperthyroidism
2 Gastritis
2 Bronchitis
2 Gastroesophageal reflux
2 Migraine
2 Depression
2 Diabetes mellitus
2 Heel spurs
2 Heart problem
2 Arrhythmia
2 Allergy
2 Anxiety
2 Endometriosis
2 Arthritis
2 Chodromalacia of the knees
2 Asthma
2 Spine problem
1 Dermatitis
1 Keratoconus
1 Vasovagal syncope
1 Vitiligo
1 Kidney stones
1 Intestine disorder
1 Sickle cell anemia
1 Melanoma
1 Ascending colon cancer
1 Progressive breast cancer
1 Herniated lumbar of the L4-L5 discs
1 Rheumatism
1 Anxiety
1 Heart disease
1 Lymphedema of the lower members
1 Stroke
1 Hepatitis B
1 Arthrosis of the left knee
1 Essential tremor
1 Esophagitis
1 Poliomyelitis
1 Breathlessness
1 Parkinson’s disease
1 Arthrosis of the hands
1 Hypoglycemia
1 Herniated lumbar disc
1 Hashimoto disease
1 Arthrosis of the feet/hands
1 Vascular leakage of the eyes
1 Glaucoma
1 Prostate disease
1 Skin disease
1 Inflammation of the tibial nerve
1 Prostatitis
1 Skin cancer
1 Familial Hypercholesterolemia
1 Chodromalacia of the knees
1 Lumbar tumor
1 Hyperthyroidism
1 Conjunctivitis
1 Arthrosis of the knees
1 Fibromyalgia
1 Urinary tract infection
1 Deep vein thrombosis
1 Osteeopenia
1 Arthrosis of the spine/knees/toes
1 Scoliosis
1 Bursitis
1 Sjogren’s syndrome
1 Hypertriglyceridemia
1 Fatty liver
1 Tendinitis of the knees
1 Varicose veins of the legs
1 Anemia
1 Tendinitis of the knees/feet
1 Ligament problems

Age Group | BMI

Hyptertension

Condition: Firm, Open
Hypertension could have an influence in old age group. Sample size = 163

Spine|spine|lumbar|Lumbar

Heel

100 randomly selected subjects.

Arthrosis

100 randomly selected subjects.

Diabetes

100 randomly selected subjects.

Illness (Yes, NO)

100 randomly selected subjects.

Footwear

##       Flip-Flops    Walking shoes     Casual shoes            Boots 
##            53784           297555           137448            14940 
## Orthopedic shoes           Sandal      Dress shoes           Tennis 
##             2988            66483            14940             2988

100 randomly selected subjects.

Flip Flops vs Walking

Modeling